THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY香港科技大學
香港科技大学 · CAIL 人工智能与法律研究中心
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Yangqiu Song

Associate Director, CAIL · Associate Professor, HKUST

Biography

I am now an associate professor at Department of CSE at HKUST and the co-director of HKUST-WeBank Joint Lab. I was a visiting academic scholar at Amazon A9 and Rufus Team (2022-2026), assistant professor at Lane Department of CSEE at WVU (2015-2016); a post-doc researcher at UIUC (2013-2015), a post-doc researcher at HKUST and visiting researcher at Huawei Noah's Ark Lab, Hong Kong (2012-2013); an associate researcher at Microsoft Research Asia (2010-2012); a staff researcher at IBM Research-China (2009-2010). I received my B.E. and PhD degree from Tsinghua University, China, in July 2003 and January 2009. I also worked as interns at Google in 2007-2008 and at IBM Research-China in 2006-2007.

Research Interests

  • Artificial intelligence and language modeling
  • Data mining and machine learning
  • Knowledge representation and reasoning
  • Privacy, security, fairness and compliance

Research Programme

My recent research goal is to develop (super) human-level intelligent agents to help with knowledge-intensive works. When meeting downstream applications, we also need to care about privacy, security, and fairness issues to build trustworthy real-world systems. Horizontal: Harness Engineering. Harness engineering can be considered as parametric or non-parametric optimization of agentic systems. We focus on: Memory, skills, and their symbolic/neural evolution with the agentic workflows Compliance with legal laws, company regulations/rules, and social norms Neuralization of whole harness engineering, neural symbolic/graph structures, KDD world modeling, etc. Vertical: Enterprise Data Agents. We build enterprise data agents to automatically perform knowledge discovery and data mining, including but not limited to: Automatic data query anwering engine with neuralized data representation Automatic scientific principle discovery Automatic database interaction skills development Automatic knowledge base/graph construction for complex data analytics Automatic data meta-structure/ontology/schema induction for complex data analytics Automatic data analytics workflow construction and execution Things that are Orthogonal/Additional to LLMs/Agents Human value alignment that may be beyond trustworthiness: 仁 (Ren)：Benevolence（仁爱、仁慈）或 Kindness 义 (Yi)：Righteousness（正义、道义） 礼 (Li)：Propriety（礼仪、礼节）、Courtesy 或 Etiquette 智 (Zhi)：Wisdom（智慧） 信 (Xin)：Trustworthiness（诚信）、Faithfulness 或 Sincerity Global meta structure/ontology/schema induction of human knowledge, knowledge that is beyond entities, including Events Beliefs/desires/intents Other metaphysical concepts Human values/social norms From agent-native data modeling to AI-native foundation data modeling Neural databases Neural graph databases Research Topics in 2016-2026: My research goal was to use machines to understand human languages and eventually facilitate natural human language interaction and communication. Our approach was to extract useful knowledge from existing resources to construct knowledge graphs and use knowledge graphs to do reasoning and inference for understanding. When meeting downstream applications, we also need to care about privacy, security, and fairness issues to build trustworthy real-world systems. Knowledge graph/base construction ( New Trends ) ProBase : A concept knowledge graph extracted from billions of Web pages ( latest version ) ASER : An eventuality knowledge graph of activities, states, events, and their relations TransOMCS : Population of a commonsense knowledge base in the format of OMCS transferred from linguistic patterns in ASER DISCOS : Population of ATOMIC if-then inferential commonsense knowledge base with the discourse relations in ASER ( Extension: CSKB Population Benchmark ) AbstractATOMIC : A conceptualization framework of commonsense knowledge aquisition and its resulting abstract knowledge in the form of ATOMIC AbsPyramid : An implementation driven by Marvin Minsky's K-Line theory; a unification of entity typing, event typing, conceptualization, and entailment graphs AutoSchemaKG : A framework to automatically extract entity, event, and perform conceptualization at Web scale, with three large examples: ATLAS-Wiki (from Wikipedia), ATLAS-Pes2o (from academic papers), and ATLAS-CC (from Common Crawl) MARS : A metaphysical reasoning knowledge base FolkScope : Eventuality-based intention knowledge graph for e-commerce commonsense understanding (later extented to Amazon COSMO ) Natural language understanding and grounding to knowledge graphs Conceptualization of the world knowledge Entity and event linking, semantic parsing, and discourse analysis Machine learning, inference, and reasoning with world knowledge World knowledge representation, learning, and inference Learning with global structural world knowledge Neuro-symbolic inference and reasoning Neural graph database/knowledgebase systems Leveraging (commonsense) knowledge and social norms to improve privacy, security, explainability, and fairness issues in machine learning models for NLP

Publications and Working Papers

2026

  1. CHENG, Jiayang; Ru, Dongyu; Qiu, Lin; Li, Yiyang; Cao, Xuezhi; SONG, Yangqiu; Cai, Xunliang. (2026). AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations. Paper presented at The 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil. Source
  2. HUANG, Haoyu; TSANG, Hong Ting; BAI, Jiaxin; Peng, Xi; ZHANG, Gong; SONG, Yangqiu. (2026). AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM. Paper presented at 14th International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil. Source
  3. TSANG, Hong Ting; BAI, Jiaxin; HUANG, Haoyu; Xiao, Qiao; ZHENG, Tianshi; XU, Baixuan; Liu, Shujie; SONG, Yangqiu. (2026). AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics / edited by Liakata Maria; Moreira Viviane P.; Zhang Jiajun; Jurgens David. San Diego, California, United States: Association for Computational Linguistics (ACL), 2026, p. 23351-23374. Source
  4. BAI, Jiaxin; FAN, Wei; HU, Qi; ZONG, Qing; LI, Chunyang; TSANG, Hong Ting; LUO, Hongyu; YIM, Yau Wai; HUANG, Haoyu; ZHOU, Xiao; QIN, Feng; ZHENG, Tianshi; PENG, Xi; Yao, Xin; Yang, Huiwen; Wu, Leijie; Ji, Yi; ZHANG, Gong; Chen, Renhai; SONG, Yangqiu. (2026). AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics / edited by Liakata Maria; Moreira Viviane P.; Zhang Jiajun; Jurgens David. San Diego, California, United States: Association for Computational Linguistics (ACL), 2026, p. 20557-20584. Source
  5. GAO, Yisen; BAI, Jiaxin; ZHENG, Tianshi; Zhang, Ziwei; Sun, Qingyun; Fu, Xingcheng; Li, Jianxin; SONG, Yangqiu. (2026). Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. Paper presented at The 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil. Source
  6. Bai, Jiaxin; Wang, Zhaobo; Cheng, Junfei; Yu, Dan; Huang, Zerui; Wang, Weiqi; Liu, Xin; Luo, Chen; Zhu, Yanming; Li, Bo; Song, Yangqiu. (2026). Intention Knowledge Graph Construction for User Intention Relation Modeling. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics / edited by Demberg Vera; Inui Kentaro; Marquez Villodre Lluis. Association for Computational Linguistics (ACL), 2026, p. 466-484. Source
  7. HUNG, Ki Sen; YANG, Xi; LIU, Chang; LI, Haoran; Chen, Kejiang; FAN, Changxuan; KWOK, Tsun On; Zhang, Weiming; LI, Xiaomeng; SONG, Yangqiu. (2026). Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, San Diego, California, United States: Association for Computational Linguistics (ACL), 2026, p. 24830-24867. Source
  8. GAO, Yisen; BAI, Jiaxin; Huang, Yi; Fu, Xingcheng; Sun, Qingyun; SONG, Yangqiu. (2026). Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. WWW '26: Proceedings of the ACM Web Conference 2026, Association for Computing Machinery, 2026, p. 3600-3611. Source
  9. Chan, Chunkit; Yim, Yauwai; Zeng, Hongchuan; Zou, Zhiying; Cheng, Xinyuan; Sun, Zhifan; Deng, Zheye; Chung, Kawai; Ao, Yuzhuo; Fan, Yixiang; Jiayang, Cheng; Nie, Ercong; Wong, Ginny Y.; Schmid, Helmut; Schütze, Hinrich; See, Simon; Song, Yangqiu. (2026). XToM: Exploring the Multilingual Theory of Mind for Large Language Models. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, San Diego, California, United States: Association for Computational Linguistics (ACL), 2026,. Source

2025

  1. Hu, Qi; Jiang, Weifeng; Li, Haoran; Wang, Zihao; Bai, Jiaxin; Mao, Qianren; Song, Yangqiu; Fan, Lixin; Li, Jianxin. (2025). Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs. Transactions on Machine Learning Research. Source
  2. Xiao, Wenyi; Zhao, Huan; Zheng, Vincent W.; Song, Yangqiu. (2025). Meta-path based proximity learning in heterogeneous information networks. Data Mining and Knowledge Discovery, v. 39, (1), article number 8. Source
  3. Zheng, Tianshi; Chen, Yixiang; Li, Chengxi; Li, Chunyang; Zong, Qing; Shi, Haochen; Xu, Baixuan; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2025). The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning. Transactions on Machine Learning Research, v. 2025-November. Source
  4. Bai, Jiaxin; Wang, Zihao; Zhou, Yukun; Yin, Hang; Fei, Weizhi; Hu, Qi; Deng, Zheye; Cheng, Jiayang; Zheng, Tianshi; Tsang, Hong Ting; Gao, Yisen; Xie, Zhongwei; Li, Yufei; Fan, Lixin; Yuan, Binhang; Wang, Wei; Chen, Lei; Zhou, Xiaofang; Song, Yangqiu. (2025). Top Ten Challenges Towards Agentic Neural Graph Databases. IEEE Data Engineering Bulletin, v. 49, (1), p. 104-123. Source
  5. CHEN, Zhixian; Ma, Tengfei; SONG, Yangqiu; WANG, Yang. (2025). Wasserstein Graph Neural Networks for Graphs With Missing Attributes. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 47, (8), p. 7010-7020, article number 10994340. Source
  6. Chen, Yulin; Li, Haoran; Sui, Yuan; Song, Yangqiu; Hooi, Bryan. (2025). Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics (ACL), 2025, p. 4508-4527. Source
  7. Chen, Yulin; Li, Haoran; Sui, Yuan; He, Yufei; Liu, Yue; Song, Yangqiu; Hooi, Bryan. (2025). Can Indirect Prompt Injection Attacks Be Detected and Removed?. Long Papers / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics (ACL), 2025, p. 18189-18206. Source
  8. XIE, Peng; BIE, Yequan; SONG, Yangqiu; WANG, Yang; CHEN, Hao; MAO, Jianda; CHEN, Kani. (2025). Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks. Proceedings of he 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2025, p. 14679-14689. Source
  9. ZONG, Qing; WANG, Zhaowei; REN, Xiyu; ZHENG, Tianshi; SONG, Yangqiu. (2025). ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty. Findings of the Association for Computational Linguistics: ACL 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Vienna, Austria: Association for Computational Linguistics (ACL), 2025, p. 4101–4117. Source
  10. HAN, Kaiqiao; FANG, Tianqing; WANG, Zhaowei; SONG, Yangqiu; STEEDMAN, Mark. (2025). Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction. Paper presented at 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, Albuquerque, United States, p. 229-243. Source
  11. Zhang, Liyu; Wang, Weiqi; Fang, Tianqing; Song, Yangqiu. (2025). ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning. Findings of the Association for Computational Linguistics, ACL 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics, 2025, p. 627-635. Source
  12. Lin, Zizheng; Chan, Chunkit; Song, Yangqiu; Liu, Xin. (2025). Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models. PRICAI 2024 / edited by Hadfi Rafik; Ito Takayuki; Anthony Patricia; Sharma Alok; Bai Quan. Springer Science and Business Media Deutschland GmbH, 2025, p. 354-360. Source
  13. HU, Wenbin; LI, Haoran; JING, Huihao; HU, Qi; ZENG, Ziqian; HAN, Sirui; XU, Heli; CHU, Tianshu; HU, Peizhao; SONG, Yangqiu. (2025). Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics (ACL), 2025, p. 865-883. Source
  14. Chen, Yulin; Li, Haoran; Zheng, Zihao; Wu, Dekai; Song, Yangqiu; Hooi, Bryan. (2025). Defense Against Prompt Injection Attack by Leveraging Attack Techniques. 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics (ACL), 2025, p. 18331-18347. Source
  15. Wang, Zhaowei; Zhang, Hongming; Fang, Tianqing; Tian, Ye; Yang, Yue; Ma, Kaixin; Pan, Xiaoman; Song, Yangqiu; Yu, Dong. (2025). DIVSCENE: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics (ACL), 2025, p. 9666-9686. Source
  16. Wang, Weiqi; Cui, Limeng; Liu, Xin; Nag, Sreyashi; Xu, Wenju; Luo, Chen; Sarwar, Sheikh Muhammad; Li, Yang; Gu, Hansu; Liu, Hui; Yu, Changlong; Bai, Jiaxin; Gao, Yifan; Zhang, Haiyang; He, Qi; Ji, Shuiwang; Song, Yangqiu. (2025). EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics, 2025, p. 1-22. Source
  17. Yin, Hang; Wang, Zihao; Fei, Weizhi; Song, Yangqiu. (2025). EFO k -CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation. KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2025, p. 5876-5887. Source
  18. Zheng, Tianshi; Wang, Jiazheng; Wang, Zihao; Bai, Jiaxin; Yin, Hang; Deng, Zheye; Song, Yangqiu; Li, Jianxin. (2025). Enhancing transformers for generalizable first-order logical entailment. Long Papers / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics (ACL), 2025, p. 5505-5524. Source
  19. Fei, Weizhi; Wang, Zihao; Yin, Hang; Duan, Yang; Song, Yangqiu. (2025). Extending Complex Logical Queries on Uncertain Knowledge Graphs. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics (ACL), 2025, p. 13168-13193. Source
  20. Zheng, Tianshi; Deng, Zheye; Tsang, Hong Ting; Wang, Weiqi; Bai, Jiaxin; Wang, Zihao; Song, Yangqiu. (2025). From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025 / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics, 2025, p. 17733-17750. Source
  21. Sun, Qingyun; Zhang, Ziwei; Fu, Xingcheng; Song, Yangqiu; Li, Jianxin; Yu, Philip S.. (2025). Frontiers in Graph Machine Learning for the Large Model Era. CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, Inc, 2025, p. 6927-6929. Source
  22. Jiayang, Cheng; Zhuang, Qianqian; Li, Haoran; Chan, Chunkit; Liu, Xin; Qiu, Lin; Song, Yangqiu. (2025). InteGround: on the evaluation of verification and retrieval planning in integrative grounding. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics (ACL), 2025, p. 13587-13602. Source
  23. Zheng, Tianshi; Li, Weihan; Bai, Jiaxin; Wang, Weiqi; Song, Yangqiu. (2025). KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics, 2025, p. 183-195. Source
  24. ZHENG, Tianshi; CHENG, Jiayang; LI, Chunyang; SHI, Haochen; WANG, Zihao; BAI, Jiaxin; SONG, Yangqiu; Wong, Ginny Y.; See, Simon. (2025). LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing / edited by Christodoulopoulos Christos; Chakraborty Tanmoy ; Rose Carolyn ; Peng Violet . Association for Computational Linguistics (ACL), 2025, p. 20710-20731. Source
  25. Wang, Weiqi; Song, Yangqiu. (2025). MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics, 2025, p. 1568-1596. Source
  26. JING, Huihao; LI, Haoran; HU, Wenbin; HU, Qi; XU, Heli; Chu, Tianshu; Hu, Peizhao; SONG, Yangqiu. (2025). MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics (ACL), 2025, p. 1177-1194. Source
  27. Wang, Zhaowei; Yu, Wenhao; Ren, Xiyu; Zhang, Jipeng; Zhao, Yu; Saxena, Rohit; Cheng, Liang; Wong, Ginny; See, Simon; Minervini, Pasquale; Song, Yangqiu; Steedman, Mark. (2025). MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly. Paper presented at The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), California , United States. Source
  28. Wang, Weiqi; Fang, Tianqing; Shi, Haochen; Xu, Baixuan; Ding, Wenxuan; Zhang, Liyu; Fan, Wei; Bai, Jiaxin; Li, Haoran; Liu, Xin; Song, Yangqiu. (2025). On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions. Findings of the Association for Computational Linguistics: EMNLP 2025 / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Suzhou, China: Association for Computational Linguistics, 2025, p. 2260-2281. Source
  29. Li, Chunyang; Wang, Weiqi; Zheng, Tianshi; Song, Yangqiu. (2025). Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations. Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics, 2025, p. 19608-19626. Source
  30. Li, Haoran; Hu, Wenbin; Jing, Huihao; Chen, Yulin; Hu, Qi; Han, Sirui; Chu, Tianshu; Hu, Peizhao; Song, Yangqiu. (2025). PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Association for Computational Linguistics (ACL), 2025, p. 10544-10559. Source
  31. Li, Haoran; Fan, Wei; Chen, Yulin; Cheng, Jiayang; Chu, Tianshu; Zhou, Xuebing; Hu, Peizhao; Song, Yangqiu. (2025). Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory. Long Papers / edited by Chiruzzo Luis; Ritter Alan; Wang Lu. Association for Computational Linguistics (ACL), 2025, p. 1748-1766. Source
  32. Liu, Jiayu; Zong, Qing; Wang, Weiqi; Song, Yangqiu. (2025). Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025 / edited by Che Wanxiang; Nabende Joyce; Shutova Ekaterina; Pilehvar Mohammad Taher. Vienna, Austria: Association for Computational Linguistics, 2025, p. 206-221. Source
  33. Zhang, Peiyan; Jin, Haibo; Hu, Leyang; Li, Xinnuo; Kang, Liying; Luo, Man; Song, Yangqiu; Wang, Haohan. (2025). REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. Proceedings of the 42nd International Conference on Machine Learning, ML Research Press, 2025, p. 75216-75233. Source
  34. Li, Haoran; Chen, Yulin; Zheng, Zihao; Hu, Qi; Chan, Chunkit; Liu, Heshan; Song, Yangqiu. (2025). Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence / edited by Walsh Toby; Shah Julie; Kolter Zico. Association for the Advancement of Artificial Intelligence, 2025, p. 397-405. Source
  35. XIE, Peng; LIU, Xingyuan; BIE, Yequan; CHAN, Tsz Wai; SONG, Yangqiu; WANG, Yang; CHEN, Hao; CHEN, Kani. (2025). SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset. Advances in Neural Information Processing Systems, Neural information processing systems foundation, 2025, p. 56182-56211. Source
  36. Li, Yangning; Zhang, Weizhi; Yang, Yuyao; Huang, Wei Chieh; Wu, Yaozu; Luo, Junyu; Bei, Yuanchen; Zou, Henry Peng; Luo, Xiao; Zhao, Yusheng; Chan, Chunkit; Chen, Yankai; Deng, Zhongfen; Li, Yinghui; Zheng, Hai Tao; Li, Dongyuan; Jiang, Renhe; Zhang, Ming; Song, Yangqiu; Yu, Philip S.. (2025). Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 / edited by Christodoulopoulos Christos; Chakraborty Tanmoy; Rose Carolyn; Peng Violet. Association for Computational Linguistics (ACL), 2025, p. 12120-12145. Source

2024

  1. HE, Mutian; FANG, Tianqing; WANG, Weiqi; Song, Yangqiu. (2024). Acquiring and modeling abstract commonsense knowledge via conceptualization. Artificial Intelligence, v. 333, article number 104149. Source
  2. Yang, Xiaojun; Zhong, Haoyu; Wang, Zhengdong; Du, Penglin; Zhou, Keyi; Zhou, Heping; Lai, Xingjin; Lau, Yik Lun; Song, Yangqiu; Tang, Liyaning. (2024). BEKG: A built environment knowledge graph. Building Research and Information, v. 52, (1-2), p. 19-37. Source
  3. Fang, Tianqing; Do, Quyet V.; Zheng, Zihao; Wang, Weiqi; Choi, Sehyun; WANG, Zhaowei; Song, Yangqiu. (2024). CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population. CoRR. Source
  4. Wang, Weiqi; ZHOU, Zixuan; Derrible, Sybil; Song, Yangqiu; Lu, Zhongming. (2024). Deep learning analysis of smart meter data from a small sample of room air conditioners facilitates routine assessment of their operational efficiency. Energy and AI, v. 16, article number 100338. Source
  5. Lau, Ching Ming Samuel; Wang, Weiqi; Shi, Haochen; Xu, Baixuan; Bai, Jiaxin; Song, Yangqiu. (2024). EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding. CoRR, v. abs/2410.14276. Source
  6. Liu, Kang; Song, Yangqiu; Pan, Jeff Z.. (2024). Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications. Machine Intelligence Research, v. 21, (2), p. 215-216. Source
  7. Liu, Xin; Wang, Weiqi; Bai, Jiaxin; Song, Yangqiu. (2024). Towards Subgraph Isomorphism Counting with Graph Kernels. CoRR. Source
  8. Wang, Zhaowei; Fan, Wei; Zong, Qing; Zhang, Hongming; Choi, Sehyun; Fang, Tianqing; Liu, Xin; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2024). ABSINSTRUCT: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. Long Papers / edited by Ku Lun-Wei; Martins Andre F. T.; Srikumar Vivek. Association for Computational Linguistics (ACL), 2024, p. 973-994. Source
  9. Wang, Zhaowei; Shi, Haochen; Wang, Weiqi; Fang, Tianqing; Zhang, Hongming; Choi, Sehyun; Liu, Xin; Song, Yangqiu. (2024). ABSPYRAMID: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph. Findings of the Association for Computational Linguistics / edited by Duh Kevin; Gomez Helena; Bethard Steven. Association for Computational Linguistics (ACL), 2024, p. 3991-4010. Source
  10. Bai, Jiaxin; Wang, Yicheng; Zheng, Tianshi; Guo, Yue; Liu, Xin; Song, Yangqiu. (2024). Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation. 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 / edited by Ku Lun-Wei; Martins Andre F. T.; Srikumar Vivek. Association for Computational Linguistics (ACL), 2024, p. 1312-1329. Source
  11. Chan, Chunkit; Cheng, Jiayang; Liu, Xin; Yim, Yauwai; Jiang, Yuxin; Deng, Zheye; Li, Haoran; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2024). Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings / edited by Endriss Ulle; Melo Francisco S.; Bach Kerstin; Bugarin-Diz Alberto; Alonso-Moral Jose M.; Barro Senen; Heintz Fredrik. IOS Press, 2024, p. 3851-3858. Source
  12. Wang, Weiqi; Fang, Tianqing; Li, Chunyang; Shi, Haochen; Ding, Wenxuan; Xu, Baixuan; Wang, Zhaowei; Bai, Jiaxin; Liu, Xin; Cheng, Jiayang; Chan, Chunkit; Song, Yangqiu. (2024). CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics / edited by Ku Lun-Wei; Martins Andre F. T.; Srikumar Vivek. Association for Computational Linguistics (ACL), 2024, p. 2351-2374. Source
  13. Fan, Wei; Zhang, Weijia; Wang, Weiqi; Song, Yangqiu; Liu, Hao. (2024). Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation. Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Proceedings / edited by Onizuka Makoto; Xiao Chuan; Lee Jae-Gil; Tong Yongxin; Ishikawa Yoshiharu; Lu Kejing; Amer-Yahia Sihem; Jagadish H.V.. Springer Science and Business Media Deutschland GmbH, 2024, p. 120-137. Source
  14. Bosselut, Antoine; Chen, Zeming; Fang, Tianqing; Song, Yangqiu. (2024). Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. Paper presented at The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Source
  15. Do, Quyet V.; Fang, Tianqing; Diao, Shizhe; Wang, Zhaowei; Song, Yangqiu. (2024). ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference / edited by Graham Yvette; Purver Matthew; Purver Matthew. Association for Computational Linguistics (ACL), 2024, p. 714-731. Source
  16. Yu, Changlong; Liu, Xin; Maia, Jefferson; Li, Yang; Cao, Tianyu; Gao, Yifan; Song, Yangqiu; Goutam, Rahul; Zhang, Haiyang; Yin, Bing; Li, Zheng. (2024). COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. SIGMOD-Companion 2024 - Companion of the 2024 International Conferaence on Management of Data, Association for Computing Machinery, 2024, p. 148-160. Source
  17. Jiayang, Cheng; Chan, Chunkit; Zhuang, Qianqian; Qiu, Lin; Zhang, Tianhang; Liu, Tengxiao; Song, Yangqiu; Zhang, Yue; Liu, Pengfei; Zhang, Zheng. (2024). ECON: On the Detection and Resolution of Evidence Conflicts. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference / edited by Al-Onaizan Yaser; Bansal Mohit; Chen Yun-Nung. Association for Computational Linguistics (ACL), 2024, p. 7816-7844. Source
  18. Yim, Yauwai; Chan, Chunkit; Shi, Tianyu; Deng, Zheye; Fan, Wei; Zheng, Tianshi; Song, Yangqiu. (2024). Evaluating and Enhancing LLMs Agent Based on Theory of Mind in Guandan: A Multi-Player Cooperative Game Under Imperfect Information. Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024, IEEE, 2024, p. 461-465. Source
  19. Jiayang, Cheng; Qiu, Lin; Chan, Chunkit; Liu, Xin; Song, Yangqiu; Zhang, Zheng. (2024). EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings / edited by Calzolari Nicoletta; Kan Min-Yen; Hoste Veronique; Lenci Alessandro; Sakti Sakriani; Xue Nianwen. European Language Resources Association (ELRA), 2024, p. 6622-6642. Source
  20. Chan, Chunkit; Jiayang, Cheng; Wang, Weiqi; Jiang, Yuxin; Fang, Tianqing; Liu, Xin; Song, Yangqiu. (2024). Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations. EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024 / edited by Graham Yvette; Purver Matthew; Purver Matthew. Association for Computational Linguistics (ACL), 2024, p. 684-721. Source
  21. Fang, Tianqing; Wang, Zhaowei; Zhou, Wenxuan; Zhang, Hongming; Song, Yangqiu; Chen, Muhao. (2024). Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. Findings of the Association for Computational Linguistics / edited by Duh Kevin; Gomez Helena; Bethard Steven. Association for Computational Linguistics (ACL), 2024, p. 3846-3868. Source
  22. Fan, Wei; Li, Haoran; Deng, Zheye; Wang, Weiqi; Song, Yangqiu. (2024). GOLDCOIN: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference / edited by Al-Onaizan Yaser; Bansal Mohit; Chen Yun-Nung. Association for Computational Linguistics (ACL), 2024, p. 3321-3343. Source
  23. Liu, Jiayu; Tang, Junhao; Wang, Hanwen; Xu, Baixuan; Shi, Haochen; Wang, Weiqi; Song, Yangqiu. (2024). GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction. FEVER 2024 - 7th Fact Extraction and VERification Workshop, Proceedings of the Workshop / edited by Schlichtkrull Michael; Chen Yulong; Whitehouse Chenxi; Deng Zhenyun; Akhtar Mubashara; Aly Rami; Guo Zhijiang; Christodoulopoulos Christos; Cocarascu Oana; Mittal Arpit; Thorne James; Vlachos Andreas. Association for Computational Linguistics (ACL), 2024, p. 118-129. Source
  24. DING, Wenxuan; WANG, Weiqi; KWOK, Sze Heng Douglas; LIU, Minghao; FANG, Tianqing; BAI, Jiaxin; Liu, Xin; Yu, Changlong; Li, Zheng; Luo, Chen; Yin, Qingyu; Yin, Bing; He, Junxian; SONG, Yangqiu. (2024). INTENTIONQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024 / edited by Al-Onaizan Yaser; Bansal Mohit; Chen Yun-Nung. Association for Computational Linguistics (ACL), 2024, p. 2247-2266. Source
  25. Wu, Yuetong; Zhou, Yukai; Xu, Baixuan; Wang, Weiqi; Song, Yangqiu. (2024). KnowComp at DialAM-2024: Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory. Proceedings of the 11th Workshop on Argument Mining, ArgMining 2024, Bangkok, Thailand, August 15, 2024 / edited by Ajjour Yamen; Bar-Haim Roy; Baff Roxanne El; Liu Zhexiong; Skitalinskaya Gabriella. Association for Computational Linguistics, 2024, p. 103-109. Source
  26. Lu, Feihong; Wang, Weiqi; Luo, Yangyifei; Zhu, Ziqin; Sun, Qingyun; Xu, Baixuan; Shi, Haochen; Gao, Shiqi; Li, Qian; Song, Yangqiu; Li, Jianxin. (2024). Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia, Association for Computing Machinery, Inc, 2024, p. 3303-3312. Source
  27. Xu, Baixuan; Wang, Weiqi; Shi, Haochen; Ding, Wenxuan; Jing, Huihao; Fang, Tianqing; Bai, Jiaxin; Liu, Xin; Yu, Changlong; Li, Zheng; Luo, Chen; Yin, Qingyu; Yin, Bing; Chen, Long; Song, Yangqiu. (2024). MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference / edited by Al-Onaizan Yaser; Bansal Mohit; Chen Yun-Nung. Association for Computational Linguistics (ACL), 2024, p. 7800-7815. Source
  28. Chan, Chunkit; Jiayang, Cheng; Yim, Yauwai; Deng, Zheye; Fan, Wei; Li, Haoran; Liu, Xin; Zhang, Hongming; Wang, Weiqi; Song, Yangqiu. (2024). NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024 / edited by Al-Onaizan Yaser; Bansal Mohit; Chen Yun-Nung. Association for Computational Linguistics (ACL), 2024, p. 4211-4241. Source
  29. Liu, Lihui; Wang, Zihao; Bai, Jiaxin; Song, Yangqiu; Tong, Hanghang. (2024). New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. WWW 2024 Companion - Companion Proceedings of the ACM Web Conference, Association for Computing Machinery, Inc, 2024, p. 1294-1297. Source
  30. Fang, Tianqing; Zhou, Wenxuan; Liu, Fangyu; Zhang, Hongming; Song, Yangqiu; Chen, Muhao. (2024). On-the-fly Denoising for Data Augmentation in Natural Language Understanding. EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024 / edited by Graham Yvette; Purver Matthew; Purver Matthew. Association for Computational Linguistics (ACL), 2024, p. 766-781. Source
  31. Hu, Qi; Li, Haoran; Bai, Jiaxin; Wang, Zihao; Song, Yangqiu. (2024). Privacy-Preserved Neural Graph Databases. KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2024, p. 1108-1118. Source
  32. Yin, Hang; Wang, Zihao; Song, Yangqiu. (2024). RETHINKING COMPLEX QUERIES ON KNOWLEDGE GRAPHS WITH NEURAL LINK PREDICTORS. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria. Source
  33. Deng, Zheye; Chan, Chunkit; Wang, Weiqi; Sun, Yuxi; Fan, Wei; Zheng, Tianshi; Yim, Yauwai; Song, Yangqiu. (2024). Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference / edited by Al-Onaizan Yaser; Bansal Mohit; Chen Yun-Nung. Association for Computational Linguistics (ACL), 2024, p. 9300-9322. Source
  34. Bai, Jiaxin; Luo, Chen; Li, Zheng; Yin, Qingyu; Song, Yangqiu. (2024). Understanding Inter-Session Intentions via Complex Logical Reasoning. KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2024, p. 71-82. Source
  35. Hu, Qi; Song, Yangqiu. (2024). User Consented Federated Recommender System Against Personalized Attribute Inference Attack. WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, 2024, p. 276-285. Source

2023

  1. WANG, Weiqi; FANG, Tianqing; DING, Wenxuan; XU, Baixuan; Liu, Xin; Song, Yangqiu; Bosselut, Antoine. (2023). CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2023, p. 13520-13545. Source
  2. WANG, Weiqi; FANG, Tianqing; XU, Baixuan; BO, Chun Yi Louis; SONG, Yangqiu; CHEN, Lei. (2023). CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2023, p. 13111-13140. Source
  3. Zhang, Hongming; Huo, Yintong; Elazar, Yanai; Song, Yangqiu; Goldberg, Yoav; Roth, Dan. (2023). CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023, Association for Computational Linguistics (ACL), 2023, p. 114-124. Source
  4. Wang, Zhaowei; Do, Quyet V.; Zhang, Hongming; Zhang, Jiayao; Wang, Weiqi; Fang, Tianqing; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2023). COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. Long Papers, Association for Computational Linguistics (ACL), 2023, p. 5253-5271. Source
  5. Bai, Jiaxin; Liu, Xin; Wang, Weiqi; Luo, Chen; Song, Yangqiu. (2023). Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints. Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023 / edited by Oh A.; Neumann T.; Globerson A.; Saenko K.; Hardt M.; Levine S.. Neural information processing systems foundation, 2023, p. 30534-30553article number 1331. Source
  6. Chan, Chunkit; Liu, Xin; Cheng, Jiayang; Li, Zihan; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2023). DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition. Findings of the Association for Computational Linguistics, ACL 2023 / edited by Rogers Anna; Boyd-Graber Jordan L.; Okazaki Naoaki. Association for Computational Linguistics (ACL), 2023, p. 35-57. Source
  7. Liu, Xin; Li, Zheng; Gao, Yifan; Yang, Jingfeng; Cao, Tianyu; Wang, Zhengyang; Yin, Bing; Song, Yangqiu. (2023). Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023 / edited by Oh A.; Neumann T.; Globerson A.; Saenko K.; Hardt M.; Levine S.. Neural information processing systems foundation, 2023,. Source
  8. Yu, Changlong; Wang, Weiqi; Liu, Xin; Bai, Jiaxin; Song, Yangqiu; Li, Zheng; Gao, Yifan; Cao, Tianyu; Yin, Bing. (2023). FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. Findings of the Association for Computational Linguistics, ACL 2023, Association for Computational Linguistics (ACL), 2023, p. 1173-1191. Source
  9. Lin, Zizheng; Zhang, Hongming; Song, Yangqiu. (2023). Global Constraints with Prompting for Zero-Shot Event Argument Classification. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023, Association for Computational Linguistics (ACL), 2023, p. 2482-2493. Source
  10. DENG, Zheye; WANG, Weiqi; WANG, Zhaowei; LIU, Xin; Song, Yangqiu. (2023). GOLD: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2023, p. 3591-3608. Source
  11. Luo, Chen; Goutam, Rahul; Zhang, Haiyang; Zhang, Chao; Song, Yangqiu; Yin, Bing. (2023). Implicit Query Parsing at Amazon Product Search. SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, Inc, 2023, p. 3380-3384. Source
  12. Hu, Qi; Song, Yangqiu. (2023). Independent Distribution Regularization for Private Graph Embedding. CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2023, p. 823-832. Source
  13. Choi, Sehyun; Fang, Tianqing; Wang, Zhaowei; Song, Yangqiu. (2023). KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings / edited by Bouamor Houda; Pino Juan; Bali Kalika. Association for Computational Linguistics (ACL), 2023, p. 14035-14053. Source
  14. Wang, Weiqi; Xu, Baixuan; Fang, Tianqing; Zhang, Lirong; Song, Yangqiu. (2023). KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification. 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop / edited by Ojha Atul Kr.; Dogruoz A. Seza; Da San Martino Giovanni; Madabushi Harish Tayyar; Kumar Ritesh; Sartori Elisa. Association for Computational Linguistics, 2023, p. 1-9. Source
  15. Xu, Baixuan; Shi, Haochen; Zheng, Tianshi; Zong, Qing; Wang, Weiqi; Wang, Zhaowei; Song, Yangqiu. (2023). KnowComp Submission for WMT23 Sign Language Translation Task. Proceedings of the 8th Conference on Machine Translation, WMT 2023, Association for Computational Linguistics, 2023, p. 349-356. Source
  16. Wu, Yi; Shi, Haochen; Wang, Weiqi; Song, Yangqiu. (2023). KnowComp Submission for WMT23 Word-Level AutoCompletion Task. Proceedings of the 8th Conference on Machine Translation, WMT 2023, Association for Computational Linguistics, 2023, p. 882-889. Source
  17. Bai, Jiaxin; Luo, Chen; Li, Zheng; Yin, Qingyu; Yin, Bing; Song, Yangqiu. (2023). Knowledge Graph Reasoning over Entities and Numerical Values. KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2023, p. 57-68. Source
  18. Liu, Junnan; Mao, Qianren; Lin, Chenghua; Song, Yangqiu; Li, Jianxin. (2023). LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2023, p. 4578-4586. Source
  19. Wang, Zihao; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2023). LOGICAL MESSAGE PASSING NETWORKS WITH ONE-HOP INFERENCE ON ATOMIC FORMULAS. Paper presented at 11th International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda. Source
  20. Li, Haoran; Guo, Dadi; Fan, Wei; Xu, Mingshi; Huang, Jie; Meng, Fanpu; Song, Yangqiu. (2023). Multi-step Jailbreaking Privacy Attacks on ChatGPT. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2023, p. 4138-4153. Source
  21. Cui, Hejie; Fang, Xinyu; Zhang, Zihan; Xu, Ran; Kan, Xuan; Liu, Xin; Yu, Yue; Li, Manling; Song, Yangqiu; Yang, Carl. (2023). Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023 / edited by Oh A.; Neumann T.; Globerson A.; Saenko K.; Hardt M.; Levine S.. Neural information processing systems foundation, 2023,. Source
  22. SHI, Haochen; WANG, Weiqi; FANG, Tianqing; XU, Baixuan; DING, Wenxuan; Liu, Xin; Song, Yangqiu. (2023). QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2023, p. 15329-15341. Source
  23. Chan, Chunkit; Liu, Xin; Chan, Tszho; Cheng, Jiayang; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2023). Self-Consistent Narrative Prompts on Abductive Natural Language Inference. Long Papers / edited by Park Jong C.; Arase Yuki; Hu Baotian; Lu Wei; Wijaya Derry; Purwarianti Ayu; Krisnadhi Adila Alfa. Association for Computational Linguistics (ACL), 2023, p. 1040-1057. Source
  24. Li, Haoran; Xu, Mingshi; Song, Yangqiu. (2023). Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence. Findings of the Association for Computational Linguistics, ACL 2023, Association for Computational Linguistics (ACL), 2023, p. 14022-14040. Source
  25. CHENG, Jiayang; Qiu, Lin; CHAN, Tsz Ho; FANG, Tianqing; WANG, Weiqi; CHAN, Chun Kit; Ru, Dongyu; Guo, Qipeng; ZHANG, Hongming; Song, Yangqiu; Zhang, Yue; Zhang, Zheng. (2023). StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings / edited by Bouamor Houda; Pino Juan; Bali Kalika. Association for Computational Linguistics (ACL), 2023, p. 11518-11537. Source
  26. Zong, Qing; Wang, Zhaowei; Xu, Baixuan; Zheng, Tianshi; Shi, Haochen; Wang, Weiqi; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2023). TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining. EMNLP 2023 - 10th Workshop on Argument Mining, ArgMining 2023 - Proceedings / edited by Alshomary Milad; Chen Chung-Chi; Muresan Smaranda; Park Joonsuk; Romberg Julia. Association for Computational Linguistics (ACL), 2023, p. 139-147. Source
  27. Wang, Zihao; Fei, Weizhi; Yin, Hang; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2023). Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport. Findings of the Association for Computational Linguistics, ACL 2023, Association for Computational Linguistics (ACL), 2023, p. 13679-13696. Source

2022

  1. Zhang, Hongming; Liu, Xin; Pan, Haojie; Ke, Haowen; Ou, Jiefu; Fang, Tianqing; Song, Yangqiu. (2022). ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities. Artificial Intelligence, v. 309, article number 103740. Source
  2. Chen, Zhixian; Ma, Tengfei; Jin, Zhihua; Song, Yangqiu; Wang, Yang. (2022). BiGCN: A bi-directional low-pass filtering graph neural network. Analysis and Applications, v. 20, (6), p. 1193-1214. Source
  3. Yang, Qiang; Tong, Yongxin; Liu, Yang; Song, Yangqiu; Peng, Hao; Faltings, Boi. (2022). Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Transactions on Intelligent Systems and Technology, v. 13, (4), article number 52. Source
  4. Li, Haotian; Wang, Yong; Zhang, Songheng; Song, Yangqiu; Qu, Huamin. (2022). KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation. IEEE Transactions on Visualization and Computer Graphics, v. 28, (1), p. 195-205. Source
  5. Yin, Hang; Song, Yangqiu; Wang, Zihao. (2022). Logical Queries on Knowledge Graphs: Emerging Interface of Incomplete Relational Data. IEEE Data Engineering Bulletin, v. 45, p. 43160. Source
  6. Yang, Qiang; Tong, Yongxin; Liu, Yang; Song, Yangqiu; Peng, Hao; Faltings, Boi. (2022). Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Transactions on Intelligent Systems and Technology, v. 13, (5), article number 69. Source
  7. Yu, Xintong; Zhang, Hongming; Hong, Ruixin; Song, Yangqiu; Zhang, Changshui. (2022). VD-PCR: Improving visual dialog with pronoun coreference resolution. Pattern Recognition, v. 125, article number 108540. Source
  8. Yu, Changlong; Xiao, Tianyi; Kong, Lingpeng; Song, Yangqiu; Ng, Wilfred. (2022). An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 / edited by Goldberg Yoav; Kozareva Zornitsa; Zhang Yue. Association for Computational Linguistics (ACL), 2022, p. 10064-10070. Source
  9. Wang, Zihao; Yin, Hang; Song, Yangqiu. (2022). Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs. Advances in Neural Information Processing Systems, Neural information processing systems foundation, 2022,. Source
  10. Liu, Xin; Cheng, Jiayang; Song, Yangqiu; Jiang, Xin. (2022). Boosting Graph Structure Learning with Dummy Nodes. Proceedings of the 39th International Conference on Machine Learning, ML Research Press, 2022, p. 13704-13716. Source
  11. Yu, Changlong; Zhang, Hongming; Song, Yangqiu; Ng, Wilfred. (2022). CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations. ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Findings of ACL 2022 / edited by Muresan Smaranda; Nakov Preslav; Villavicencio Aline. Association for Computational Linguistics (ACL), 2022, p. 1175-1187. Source
  12. Xiao, Huiru; Liu, Xin; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2022). Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 / edited by Goldberg Yoav; Kozareva Zornitsa; Zhang Yue. Association for Computational Linguistics (ACL), 2022, p. 5228-5239. Source
  13. Zhang, Yinghua; Song, Yangqiu; Bai, Kun; Yang, Qiang. (2022). Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2022, p. 2661-2670. Source
  14. Liu, Xin; Song, Yangqiu. (2022). Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching. AAAI-22 Technical Tracks 7, Association for the Advancement of Artificial Intelligence, 2022, p. 7594-7602. Source
  15. Su, Ying; Wang, Zihao; Fang, Tianqing; Zhang, Hongming; Song, Yangqiu; Zhang, Tong. (2022). MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation. Findings of the Association for Computational Linguistics / edited by Goldberg Yoav; Kozareva Zornitsa; Zhang Yue. Association for Computational Linguistics (ACL), 2022, p. 1339-1351. Source
  16. Su, Ying; Zhang, Hongming; Song, Yangqiu; Zhang, Tong. (2022). Multilingual Word Sense Disambiguation with Unified Sense Representation. Proceedings - International Conference on Computational Linguistics, COLING, v. 29, (1), p. 4193-4202. Source
  17. Zhao, Xinran; Zhang, Hongming; Song, Yangqiu. (2022). PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English. 2022 Language Resources and Evaluation Conference, LREC 2022 / edited by Calzolari Nicoletta; Bechet Frederic; Blache Philippe; Choukri Khalid; Cieri Christopher; Declerck Thierry; Goggi Sara; Isahara Hitoshi; Maegaard Bente; Mariani Joseph; Mazo Helene; Odijk Jan; Piperidis Stelios. European Language Resources Association (ELRA), 2022, p. 5963-5973. Source
  18. Fang, Tianqing; Do, Quyet V.; Zhang, Hongming; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2022). PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. Findings of the Association for Computational Linguistics / edited by Goldberg Yoav; Kozareva Zornitsa; Zhang Yue. Association for Computational Linguistics (ACL), 2022, p. 3379-3394. Source
  19. Bai, Jiaxin; Wang, Zihao; Zhang, Hongming; Song, Yangqiu. (2022). Query2Particles: Knowledge Graph Reasoning with Particle Embeddings. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2022, p. 2703-2714. Source
  20. Su, Ying; Zhang, Hongming; Song, Yangqiu; Zhang, Tong. (2022). Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting. ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) / edited by Muresan Smaranda; Nakov Preslav; Villavicencio Aline. Association for Computational Linguistics (ACL), 2022, p. 4713-4723. Source
  21. Wang, Zhaowei; Zhang, Hongming; Fang, Tianqing; Song, Yangqiu; Wong, Ginny Y.; See, Simon. (2022). SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 / edited by Goldberg Yoav; Kozareva Zornitsa; Zhang Yue. Association for Computational Linguistics (ACL), 2022, p. 1590-1604. Source
  22. Zeng, Ziqian; Ni, Weimin; Fang, Tianqing; Li, Xiang; Zhao, Xinran; Song, Yangqiu. (2022). Weakly Supervised Text Classification using Supervision Signals from a Language Model. Findings of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2022, p. 2295-2305. Source
  23. Li, Haoran; Song, Yangqiu; Fan, Lixin. (2022). You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas. NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2022, p. 5858-5870. Source

2021

  1. Han, Tao; Sun, Hailong; Song, Yangqiu; Fang, Yili; Liu, Xudong. (2021). Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing. Frontiers of Computer Science, v. 15, (4), article number 154315. Source
  2. Zhao, Huan; Xu, Xiaogang; Song, Yangqiu; Lee, Dik Lun; Chen, Zhao; Gao, Han. (2021). Ranking Users in Social Networks with Motif-Based PageRank. IEEE Transactions on Knowledge and Data Engineering, v. 33, (5), p. 2179-2192, article number 8897608. Source
  3. Li, Jianxin; Ji, Cheng; Peng, Hao; He, Yu; Song, Yangqiu; Zhang, Xinmiao; Peng, Fanzhang. (2021). RWNE: A scalable random-walk-based network embedding framework with personalized higher-order proximity preserved. Journal of Artificial Intelligence Research, v. 71, p. 237-263. Source
  4. Zhao, Huan; Yao, Quanming; Song, Yangqiu; Kwok, James T.; Lee, Dik Lun. (2021). Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Transactions on Knowledge Discovery from Data, v. 15, (4), article number 3441446. Source
  5. Xiao, Wenyi; Zhao, Huan; Pan, Haojie; Song, Yangqiu; Zheng, Vincent W.; Yang, Qiang. (2021). Social explorative attention based recommendation for content distribution platforms. Data Mining and Knowledge Discovery, v. 35, (2), p. 533-567. Source
  6. Peng, Hao; Li, Jianxin; Song, Yangqiu; Yang, Renyu; Ranjan, Rajiv; Yu, Philip S.; He, Lifang. (2021). Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. ACM Transactions on Knowledge Discovery from Data, v. 15, (5), article number 3447585. Source
  7. Zhang, Hongming; Zhao, Xinran; Song, Yangqiu. (2021). A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English. 4th Workshop on Computational Models of Reference, Anaphora and Coreference, CRAC 2021 - Proceedings of the Workshop / edited by Ogrodniczuk Maciej; Pradhan Sameer; Poesio Massimo; Grishina Yulia; Ng Vincent. Association for Computational Linguistics (ACL), 2021, p. 1-11. Source
  8. FANG, Tianqing; WANG, Weiqi; CHOI, Sehyun; Hao, Shibo; ZHANG, Hongming; Song, Yangqiu; He, Bin. (2021). Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset. EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), 2021, p. 8949-8964. Source
  9. Peng, Hao; Li, Haoran; Song, Yangqiu; Zheng, Vincent; Li, Jianxin. (2021). Differentially Private Federated Knowledge Graphs Embedding. CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2021, p. 1416-1425. Source
  10. FANG, Tianqing; ZHANG, Hongming; WANG, Weiqi; Song, Yangqiu; He, Bin. (2021). DISCOS: Bridging the gap between discourse knowledge and commonsense knowledge. The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021, Association for Computing Machinery, Inc, 2021, p. 2648-2659. Source
  11. Xu, Kun; Yu, Dong; Fang, Tianqing; Pan, Haojie; Song, Yangqiu; Zhang, Hongming. (2021). Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge. Paper presented at 3rd Conference on Automated Knowledge Base Construction. Source
  12. Yu, Xintong; Zhang, Hongming; Song, Yangqiu; Zhang, Changshui; Xu, Kun; Yu, Dong. (2021). Exophoric Pronoun Resolution in Dialogues with Topic Regularization. EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), 2021, p. 3832-3845. Source
  13. Liu, Xin; Ou, Jiefu; Song, Yangqiu; Jiang, Xin. (2021). Exploring discourse structures for argument impact classification. ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2021, p. 3958-3969. Source
  14. Foulds, James; Islam, Rashidul; Keya, Kamrun Naher; Pan, Shimei; Song, Yangqiu; Zeng, Ziqian. (2021). Fair Representation Learning for Heterogeneous Information Networks. Paper presented at Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, p. 877-887. Source
  15. Bai, Jiaxin; Zhang, Hongming; Song, Yangqiu; Xu, Kun. (2021). Joint coreference resolution and character linking for multiparty conversation. EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2021, p. 539-548. Source
  16. Zhang, Hongming; Huo, Yintong; Zhao, Xinran; Song, Yangqiu; Roth, Dan. (2021). Learning contextual causality between daily events from time-consecutive images. Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021, IEEE Computer Society, 2021, p. 1752-1755. Source
  17. Song, Yangqiu; Xiao, Huiru. (2021). Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning. Paper presented at Automated Knowledge Base Construction, AKBC 2021. Source
  18. LIN, Zizheng; KE, Haowen; WONG, Ngo Yin; BAI, Jiaxin; Song, Yangqiu; Zhao, Huan; Ye, Junpeng. (2021). Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2021, p. 1038-1047. Source
  19. Xiao, Wenyi; Zhao, Huan; Zheng, Vincent W.; Song, Yangqiu. (2021). Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2021, p. 2201-2210. Source
  20. Ousidhoum, Nedjma; Zhao, Xinran; Fang, Tianqing; Song, Yangqiu; Yeung, Dit Yan. (2021). Probing toxic content in large pre-trained language models. ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2021, p. 4262-4274. Source
  21. Zhuang, Yuan Xin; Shi, Chuan; Yang, Cheng; Zhuang, Fuzhen; Song, Yangqiu. (2021). Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Proceedings / edited by Oliver Nuria; Pérez-Cruz Fernando; Kramer Stefan; Read Jesse; Lozano Jose A.. Springer Science and Business Media Deutschland GmbH, 2021, p. 335-350. Source
  22. Dai, Hongliang; Song, Yangqiu; Wang, Haixun. (2021). Ultra-fine entity typing with weak supervision from a masked language model. ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2021, p. 1790-1799. Source
  23. Zeng, Ziqian; Song, Yangqiu. (2021). Variational weakly supervised sentiment analysis with posterior regularization. EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2021, p. 3259-3268. Source

2020

  1. Liu, Yaopeng; Peng, Hao; Li, Jianxin; Song, Yangqiu; Li, Xiong. (2020). Event detection and evolution in multi-lingual social streams. Frontiers of Computer Science, v. 14, (5), article number 145612. Source
  2. Pan, Shimei; Brdiczka, Oliver; Kleinsmith, Andrea; Song, Yangqiu. (2020). Special Issue on Data-Driven Personality Modeling for Intelligent Human-Computer Interaction. ACM Transactions on Interactive Intelligent Systems, v. 10, (3), article number 3402522. Source
  3. Lee, Chin; Dai, Hongliang; Song, Yangqiu; Li, Xin. (2020). A Chinese corpus for fine-grained entity typing. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings / edited by Calzolari Nicoletta; Bechet Frederic; Blache Philippe; Choukri Khalid; Cieri Christopher; Declerck Thierry; Goggi Sara; Isahara Hitoshi; Maegaard Bente; Mariani Joseph; Mazo Helene; Moreno Asuncion; Odijk Jan; Piperidis Stelios. European Language Resources Association (ELRA), 2020, p. 4451-4457. Source
  4. Zhang, Hongming; Chen, Muhao; Wang, Haoyu; Song, Yangqiu; Roth, Dan. (2020). Analogous process structure induction for sub-event sequence prediction. EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 1541-1550. Source
  5. Zhang, Hongming; Liu, Xin; Pan, Haojie; Song, Yangqiu; Leung, Cane Wing Ki. (2020). ASER: A Large-scale Eventuality Knowledge Graph. The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020, Association for Computing Machinery, Inc, 2020, p. 201-211. Source
  6. Ousidhoum, Nedjma; Song, Yangqiu; Yeung, Dit Yan. (2020). Comparative evaluation of label-agnostic selection bias in multilingual hate speech datasets. EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 2532-2542. Source
  7. Shang, Lifeng; Ng, Wilfred Siu Hung; Song, Yangqiu; Yu, Changlong; Zhang, Hongming. (2020). Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. Paper presented at Automated Knowledge Base Construction, AKBC 2020. Source
  8. Li, Xin; Dai, Hongliang; Song, Yangqiu. (2020). Exploiting Semantic Relations for Fine-grained Entity Typing. Paper presented at 2nd Conference on Automated Knowledge Base Construction, AKBC 2020. Source
  9. Zhang, Yinghua; Zhang, Yu; Wei, Ying; Bai, Kun; Song, Yangqiu; Yang, Qiang. (2020). Fisher deep domain adaptation. Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020 / edited by Demeniconi Carlotta; Chawla Nitesh. Society for Industrial and Applied Mathematics Publications, 2020, p. 469-477. Source
  10. Zhang, Hongming; Song, Yan; Song, Yangqiu; Yu, Dong. (2020). Knowledge-aware pronoun coreference resolution. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 867-876. Source
  11. Dai, Hongliang; Song, Yangqiu. (2020). Neural aspect and opinion term extraction with mined rules as weak supervision. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 5268-5277. Source
  12. Liu, Xin; Pan, Haojie; He, Mutian; Song, Yangqiu; Jiang, Xin; Shang, Lifeng. (2020). Neural Subgraph Isomorphism Counting. KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2020, p. 1959-1969. Source
  13. Liu, Xin; Ou, Jiefu; Song, Yangqiu; Jiang, Xin. (2020). On the importance of word and sentence representation learning in implicit discourse relation classification. Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 / edited by Bessiere Christian. International Joint Conferences on Artificial Intelligence, 2020, p. 3830-3836. Source
  14. Li, Haotian; Wei, Huan; Wang, Yong; Song, Yangqiu; Qu, Huamin. (2020). Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network. CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2020, p. 2589-2596. Source
  15. Wang, Fei; Cui, Peng; Pei, Jian; Song, Yangqiu; Zang, Chengxi. (2020). Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2020, p. 3545-3546. Source
  16. Zhang, Hongming; Ding, Hantian; Song, Yangqiu. (2020). SP-10K: A large-scale evaluation set for selectional preference acquisition. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 722-731. Source
  17. Zhang, Hongming; Khashabi, Daniel; Song, Yangqiu; Roth, Dan. (2020). TransOMCS: From linguistic graphs to commonsense knowledge. Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 / edited by Bessiere Christian. International Joint Conferences on Artificial Intelligence, 2020, p. 4004-4010. Source
  18. Zhang, Yinghua; Song, Yangqiu; Liang, Jian; Bai, Kun; Yang, Qiang. (2020). Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2020, p. 2989-2997. Source
  19. Xiao, Wenyi; Zhao, Huan; Zheng, Vincent W.; Song, Yangqiu. (2020). Vertex-reinforced random walk for network embedding. Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020 / edited by Demeniconi Carlotta; Chawla Nitesh. Society for Industrial and Applied Mathematics Publications, 2020, p. 595-603. Source
  20. Yu, Changlong; Han, Jialong; Wang, Peifeng; Song, Yangqiu; Zhang, Hongming; Ng, Wilfred; Shi, Shuming. (2020). When hearst is not enough: Improving hypernymy detection from corpus with distributional models. EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 6208-6217. Source
  21. Zhang, Hongming; Zhao, Xinran; Song, Yangqiu. (2020). WinoWhy: A deep diagnosis of essential commonsense knowledge for answering winograd schema challenge. ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), 2020, p. 5736-5745. Source

2019

  1. Song, Yangqiu; Upadhyay, Shyam; Peng, Haoruo; Mayhew, Stephen; Roth, Dan. (2019). Toward any-language zero-shot topic classification of textual documents. Artificial Intelligence, v. 274, p. 133-150. Source
  2. Zeng, Ziqian; Zhou, Wenxuan; Liu, Xin; Song, Yangqiu. (2019). A variational approach to weakly supervised document-level multi-aspect sentiment classification. Long and Short Papers, Association for Computational Linguistics (ACL), 2019, p. 386-396. Source
  3. Xiao, Wenyi; Zhao, Huan; Pan, Haojie; Song, Yangqiu; Zheng, Vincent W.; Yang, Qiang. (2019). Beyond personalization: Social content recommendation for creator equality and consumer satisfaction. KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2019, p. 235-245. Source
  4. Xiao, Huiru; Liu, Xin; Song, Yangqiu. (2019). Efficient path prediction for semi-supervised and weakly supervised hierarchical text classification. The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, Association for Computing Machinery, Inc, 2019, p. 3370-3376. Source
  5. Peng, Hao; Li, Jianxin; Gong, Qiran; Song, Yangqiu; Ning, Yuanxing; Lai, Kunfeng; Yu, Philip S.. (2019). Fine-grained event categorization with heterogeneous graph convolutional networks. Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 / edited by Kraus Sarit. International Joint Conferences on Artificial Intelligence, 2019, p. 3238-3245. Source
  6. He, Yu; Song, Yangqiu; Li, Jianxin; Ji, Cheng; Peng, Jian; Peng, Hao. (2019). HetespaceyWalk: A heterogeneous Spacey random walk for heterogeneous information network embedding. CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2019, p. 639-648. Source
  7. Huang, Jie; Liu, Xin; Song, Yangqiu. (2019). Hyper-path-based representation learning for hyper-networks. CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2019, p. 449-458. Source
  8. Dai, Hongliang; Du, Donghong; Li, Xin; Song, Yangqiu. (2019). Improving fine-grained entity typing with entity linking. EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics, 2019, p. 6210-6215. Source
  9. Zhang, Hongming; Song, Yan; Song, Yangqiu. (2019). Incorporating context and external knowledge for pronoun coreference resolution. Long and Short Papers, Association for Computational Linguistics (ACL), 2019, p. 872-881. Source
  10. Zhao, Huan; Zhou, Yingqi; Song, Yangqiu; Lee, Dik Lun. (2019). Motif enhanced recommendation over heterogeneous information network. CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2019, p. 2189-2192. Source
  11. Ousidhoum, Nedjma; Lin, Zizheng; Zhang, Hongming; Song, Yangqiu; Yeung, Dit Yan. (2019). Multilingual and multi-aspect hate speech analysis. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics, 2019, p. 4675-4684. Source
  12. Zhang, Hongming; Bai, Jiaxin; Song, Yan; Xu, Kun; Yu, Changlong; Song, Yangqiu; Ng, Wilfred; Yu, Dong. (2019). Multiplex word embeddings for selectional preference acquisition. EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics, 2019, p. 5247-5256. Source
  13. Liang, Yan; Liu, Xin; Zhang, Jianwen; Song, Yangqiu. (2019). Relation discovery with out-of-relation knowledge base as supervision. Long and Short Papers, Association for Computational Linguistics (ACL), 2019, p. 3280-3290. Source
  14. Yu, Xintong; Zhang, Hongming; Song, Yangqiu; Song, Yan; Zhang, Changshui. (2019). What you see is what you get: Visual pronoun coreference resolution in dialogues. EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics, 2019, p. 5123-5132. Source

2018

  1. Tsai, Chen Tse; Mayhew, Stephen; Song, Yangqiu; Sammons, Mark; Roth, Dan. (2018). Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems. Machine Translation, v. 32, (1-2), p. 91-103. Source
  2. Wang, Chenguang; Song, Yangqiu; Li, Haoran; Zhang, Ming; Han, Jiawei. (2018). Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks. Data Mining and Knowledge Discovery, v. 32, (6), p. 1735-1767. Source
  3. Zhang, Hongming; Song, Yangqiu. (2018). A distributed solution for Winograd Schema challenge. Proceedingsof 2018 10th International Conference on Machine Learning and Computing, ICMLC 2018, Association for Computing Machinery, 2018, p. 322-326. Source
  4. Zeng, Ziqian; Liu, Xin; Song, Yangqiu. (2018). Biased random walk based social regularization for word embeddings. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 / edited by Lang Jerome. International Joint Conferences on Artificial Intelligence, 2018, p. 4560-4566. Source
  5. Zhang, Hongming; Liu, Zhaoyu; Song, Yangqiu. (2018). Capture Commonsense Knowledge for Sentiment Analysis. Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Institute of Electrical and Electronics Engineers Inc., 2018, p. 767-770article number 8367226. Source
  6. Khashabi, Daniel; Sammons, Mark; Zhou, Ben; Redman, Tom; Christodoulopoulos, Christos; Srikumar, Vivek; Rizzolo, Nicholas; Luo, Lev Ratinov Guanheng; Do, Quang; Tsai, Chen Tse; Roy, Subhro; Mayhew, Stephen; Feng, Zhili; Wieting, John; Yu, Xiaodong; Song, Yangqiu; Gupta, Shashank; Upadhyay, Shyam; Arivazhagan, Naveen; Ning, Qiang; Ling, Shaoshi; Roth, Dan. (2018). CogcompnLP: Your Swiss army knife for NLP. LREC 2018 - 11th International Conference on Language Resources and Evaluation / edited by Calzolari Nicoletta; Choukri Khalid; Cieri Christopher; Declerck Thierry; Goggi Sara; Hasida Koiti; Isahara Hitoshi; Maegaard Bente; Mariani Joseph; Mazo Helene; Moreno Asuncion; Odijk Jan; Piperidis Stelios; Tokunaga Takenobu. European Language Resources Association (ELRA), 2018, p. 541-549. Source
  7. Dai, Hongliang; Song, Yangqiu; Qiu, Liwei; Liu, Rijia. (2018). Entity linking within a social media platform: A case study on yelp. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 / edited by Riloff Ellen; Chiang David; Hockenmaier Julia; Tsujii Jun'ichi. Association for Computational Linguistics, 2018, p. 2023-2032. Source
  8. Peng, Hao; Li, Jianxin; He, Yu; Liu, Yaopeng; Bao, Mengjiao; Wang, Lihong; Song, Yangqiu; Yang, Qiang. (2018). Large-scale hierarchical text classification with recursively regularized deep graph-CNN. The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018, Association for Computing Machinery, Inc, 2018, p. 1063-1072. Source
  9. Hou, Shifu; Ye, Yanfang; Song, Yangqiu; Abdulhayoglu, Melih. (2018). Make evasion harder: An intelligent android malware detection system. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 / edited by Lang Jerome. International Joint Conferences on Artificial Intelligence, 2018, p. 5279-5283. Source
  10. Zhang, Ruixiang; Che, Tong; Bengio, Yoshua; Ghahramani, Zoubin; Song, Yangqiu. (2018). Metagan: An adversarial approach to few-shot learning. Advances in Neural Information Processing Systems, v. 2018-December, p. 2365-2374. Source
  11. Zhao, Huan; Xu, Xiaogang; Song, Yangqiu; Lee, Dik Lun; Chen, Zhao; Gao, Han. (2018). Ranking users in social networks with higher-order structures. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Press, 2018, p. 232-239. Source
  12. Zhang, Hongming; Qiu, Liwei; Yi, Lingling; Song, Yangqiu. (2018). Scalable multiplex network embedding. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 / edited by Lang Jerome. International Joint Conferences on Artificial Intelligence, 2018, p. 3082-3088. Source
  13. He, Yu; Li, Jianxin; Song, Yangqiu; He, Mutian; Peng, Hao. (2018). Time-evolving text classification with deep neural networks. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 / edited by Lang Jerome. International Joint Conferences on Artificial Intelligence, 2018, p. 2241-2247. Source
  14. Li, Chen; Li, Jianxin; Song, Yangqiu; Lin, Ziwei. (2018). Training and evaluating improved dependency-based word embeddings. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Press, 2018, p. 5836-5843. Source
  15. Tang, Liyaning; Zhang, Yiming; Dai, Fei; Yoon, Yoojung; Song, Yangqiu. (2018). What construction topics do they discuss in social media? A case study of weibo in China. Construction Research Congress 2018 / edited by Wang Chao; Berryman Charles; Harris Rebecca; Harper Christofer; Lee Yongcheol. American Society of Civil Engineers (ASCE), 2018, p. 612-621. Source

2017

  1. Sun, Hailong; Hu, Kefan; Fang, Yili; Song, Yangqiu. (2017). Adaptive Result Inference for Collecting Quantitative Data with Crowdsourcing. IEEE Internet of Things Journal, v. 4, (5), p. 1389-1398, article number 7862852. Source
  2. Tang, Liyaning; Zhang, Yiming; Dai, Fei; Yoon, Yoojung; Song, Yangqiu; Sharma, Radhey S.. (2017). Social Media Data Analytics for the U.S. Construction Industry: Preliminary Study on Twitter. Journal of Management in Engineering, v. 33, (6), article number 04017038. Source
  3. Han, Tao; Sun, Hailong; Song, Yangqiu; Wang, Zizhe; Liu, Xudong. (2017). Budgeted task scheduling for crowdsourced knowledge acquisition. CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management, Association for Computing Machinery, 2017, p. 1059-1068. Source
  4. Song, Yangqiu; Upadhyay, Shyam; Peng, Haoruo; Roth, Dan. (2017). Cross-lingual Dataless Classification for Many Languages. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, p. 2901-2907. Source
  5. Wang, Chenguang; Song, Yangqiu; Li, Haoran; Sun, Yizhou; Zhang, Ming; Han, Jiawei. (2017). Distant meta-path similarities for text-based heterogeneous information networks. CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management, Association for Computing Machinery, 2017, p. 1629-1638. Source
  6. Yin, Yichun; Song, Yangqiu; Zhang, Ming. (2017). Document-level multi-aspect sentiment classification as machine comprehension. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), 2017, p. 2044-2054. Source
  7. Hou, Shifu; Ye, Yanfang; Song, Yangqiu; Abdulhayoglu, Melih. (2017). Hin droid: An intelligent Android Malware detection system based on structured heterogeneous information network. KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2017, p. 1507-1516. Source
  8. Han, Tao; Sun, Hailong; Song, Yangqiu; Fang, Yili; Liu, Xudong. (2017). Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, p. 1541-1547. Source
  9. Peng, Hao; Li, Jianxin; Song, Yangqiu; Liu, Yaopeng. (2017). Incrementally learning the hierarchical softmax function for neural language models. Paper presented at 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, United States, p. 3267-3273. Source
  10. Yu, Jinxing; Jian, Xun; Xin, Hao; Song, Yangqiu. (2017). Joint embeddings of Chinese words, characters, and fine-grained subcharacter components. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), 2017, p. 286-291. Source
  11. Zhao, Huan; Yao, Quanming; Li, Jianda; Song, Yangqiu; Lee, Dik Lun. (2017). Meta-graph based recommendation fusion over heterogeneous information networks. KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2017, p. 635-644. Source
  12. Yin, Yichun; Zhang, Ming; Song, Yangqiu. (2017). Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings. Paper presented at Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017). Source
  13. Yin, Yichun; Song, Yangqiu; Zhang, Ming. (2017). NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: A Simple Ensemble Method with Different Embeddings. ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop, Association for Computational Linguistics (ACL), 2017, p. 621-625. Source
  14. Jiang, He; Song, Yangqiu; Wang, Chenguang; Zhang, Ming; Sun, Yizhou. (2017). Semi-supervised learning over heterogeneous information networks by ensemble of meta-graph guided random walks. 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 / edited by Sierra Carles. International Joint Conferences on Artificial Intelligence, 2017, p. 1944-1950. Source
  15. Tang, L. Y.N.; Zhang, Y. M.; Dai, F.; Yoon, Y. J.; Song, Y. Q.. (2017). Sentiment analysis for the construction industry: A case study of weibo in China. Computing in Civil Engineering 2017 / edited by Lin Ken-Yu; Lin Ken-Yu; El-Gohary Nora; El-Gohary Nora; Tang Pingbo; Tang Pingbo. American Society of Civil Engineers (ASCE), 2017, p. 270-281. Source
  16. Zeng, Ziqian; Yin, Yichun; Song, Yangqiu; Zhang, Ming. (2017). Socialized word embeddings. 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 / edited by Sierra Carles. International Joint Conferences on Artificial Intelligence, 2017, p. 3915-3921. Source
  17. Ming, Yao; Cao, Shaozu; Zhang, Ruixiang; Li, Zhen; Chen, Yuanzhe; Song, Yangqiu; Qu, Huamin. (2017). Understanding Hidden Memories of Recurrent Neural Networks. 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings / edited by Fisher Brian; Liu Shixia; Schreck Tobias. Institute of Electrical and Electronics Engineers Inc., 2017, p. 13-24article number 8585721. Source

2016

  1. Wei, Ying; Song, Yangqiu; Zhen, Yi; Liu, Bo; Yang, Qiang. (2016). Heterogeneous translated hashing: A scalable solution towards multi-modal similarity search. ACM Transactions on Knowledge Discovery from Data, v. 10, (4), article number 36. Source
  2. Wu, Fangzhao; Song, Yangqiu; Huang, Yongfeng. (2016). Microblog sentiment classification with heterogeneous sentiment knowledge. Information Sciences, v. 373, p. 149-164. Source
  3. Wu, Fangzhao; Huang, Yongfeng; Song, Yangqiu. (2016). Structured microblog sentiment classification via social context regularization. Neurocomputing, v. 175, (PartA), p. 599-609. Source
  4. Yang, Yi; Pan, Shimei; Lu, Jie; Topkara, Mercan; Song, Yangqiu. (2016). The stability and usability of statistical topic models. ACM Transactions on Interactive Intelligent Systems, v. 6, (2), article number 14. Source
  5. Wu, Fangzhao; Huang, Yongfeng; Song, Yangqiu; Liu, Shixia. (2016). Towards building a high-quality microblog-specific Chinese sentiment lexicon. Decision Support Systems, v. 87, p. 39-49. Source
  6. Wang, Chenguang; Song, Yangqiu; Roth, Dan; Zhang, Ming; Han, Jiawei. (2016). World knowledge as indirect supervision for document clustering. ACM Transactions on Knowledge Discovery from Data, v. 11, (2), article number 13. Source
  7. Peng, Haoruo; Song, Yangqiu; Roth, Dan. (2016). Event detection and co-reference with minimal supervision. EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), 2016, p. 392-402. Source
  8. Yang, Yi; Pan, Shimei; Song, Yangqiu; Lu, Jie; Topkara, Mercan. (2016). Improving topic model stability for effective document exploration. IJCAI International Joint Conference on Artificial Intelligence, v. 2016-January, p. 4223-4227. Source
  9. Wei, Ying; Zhu, Yin; Leung, Cane Wing Ki; Song, Yangqiu; Yang, Qiang. (2016). Instilling social to physical: Co-regularized heterogeneous transfer learning. 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Press, 2016, p. 1338-1344. Source
  10. Cui, Wanyun; Xiao, Yanghua; Wang, Haixun; Song, Yangqiu; Hwang, Seung Won; Wang, Wei. (2016). KBQA: Learning question answering over QA corpora and knowledge bases. Proceedings of the VLDB Endowment, v. 10, (5), p. 565-576. Source
  11. Wang, Chenguang; Song, Yangqiu; Li, Haoran; Zhang, Ming; Han, Jiawei. (2016). KnowSim: A document similarity measure on structured heterogeneous information networks. Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015 / edited by Aggarwal Charu; Zhou Zhi-Hua; Tuzhilin Alexander; Xiong Hui; Wu Xindong. Institute of Electrical and Electronics Engineers Inc., 2016, p. 1015-1020article number 7373428. Source
  12. Wang, Chenguang; Sun, Yizhou; Song, Yanglei; Han, Jiawei; Song, Yangqiu; Wang, Lidan; Zhang, Ming. (2016). RelSim: Relation similarity search in schema-rich heterogeneous information networks. 16th SIAM International Conference on Data Mining 2016, SDM 2016 / edited by Venkatasubramanian Sanjay Chawla; Meira Wagner. Society for Industrial and Applied Mathematics Publications, 2016, p. 621-629. Source
  13. Yang, Deqing; Xiao, Yanghua; Song, Yangqiu; Wang, Wei. (2016). Semantic-based recommendation across heterogeneous domains. Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015 / edited by Aggarwal Charu; Zhou Zhi-Hua; Tuzhilin Alexander; Xiong Hui; Wu Xindong. Institute of Electrical and Electronics Engineers Inc., 2016, p. 1075-1080article number 7373438. Source
  14. Wang, Chenguang; Song, Yangqiu; Li, Haoran; Zhang, Ming; Han, Jiawei. (2016). Text classification with heterogeneous information network kernels. 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Press, 2016, p. 2130-2136. Source
  15. Zhong, Yangxin; Liu, Shixia; Wang, Xiting; Xiao, Jiannan; Song, Yangqiu. (2016). Tracking idea flows between social groups. 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Press, 2016, p. 1436-1443. Source
  16. Ling, Shaoshi; Song, Yangqiu; Roth, Dan. (2016). Word embeddings with limited memory. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers, Association for Computational Linguistics (ACL), 2016, p. 387-392. Source

2015

  1. Song, Yangqiu; Liu, Shixia; Liu, Xueqing; Wang, Haixun. (2015). Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees. IEEE Transactions on Knowledge and Data Engineering, v. 27, (7), p. 1861-1874, article number 7029112. Source
  2. Li, Xiaodong; Xie, Haoran; Song, Yangqiu; Zhu, Shanfeng; Li, Qing; Wang, Fu Lee. (2015). Does Summarization Help Stock Prediction? A News Impact Analysis. IEEE Intelligent Systems, v. 30, (3), p. 26-34. Source
  3. Liu, Shixia; Wang, Xiting; Song, Yangqiu; Guo, Baining. (2015). Evolutionary bayesian rose trees. IEEE Transactions on Knowledge and Data Engineering, v. 27, (6), p. 1533-1546, article number 2373384. Source
  4. Wu, Heting; Sun, Hailong; Fang, Yili; Hu, Kefan; Xie, Yongqing; Song, Yangqiu; Liu, Xudong. (2015). Combining machine learning and crowdsourcing for better understanding commodity reviews. Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015, AI Access Foundation, 2015, p. 4220-4221. Source
  5. Wang, Chenguang; Song, Yangqiu; Roth, Dan; Wang, Chi; Han, Jiawei; Ji, Heng; Zhang, Ming. (2015). Constrained information-theoretic tripartite graph clustering to identify semantically similar relations. IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence / edited by Wooldridge Michael; Yang Qiang. International Joint Conferences on Artificial Intelligence, 2015, p. 3882-3889. Source
  6. Peng, Haoruo; Reddy, Pavankumar; Roth, Dan; Roy, Subhro; Sammons, Mark; Song, Yangqiu; Tsai, Chen-Tse; Upadhyay, Shyam. (2015). Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. Paper presented at Text Analysis Conference 2015. Source
  7. Song, Yangqiu; Peng, Haoruo; Kordjamshidi, Parisa; Sammons, Mark; Roth, Dan. (2015). Improving a Pipeline Architecture for Shallow Discourse Parsing. Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, 2015, p. 78-83. Source
  8. Wang, Chenguang; Song, Yangqiu; El-Kishky, Ahmed; Roth, Dan; Zhang, Ming; Han, Jiawei. (2015). Incorporating world knowledge to document clustering via heterogeneous information networks. KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2015, p. 1215-1224. Source
  9. Wu, Fangzhao; Song, Yangqiu; Huang, Yongfeng. (2015). Microblog sentiment classification with contextual knowledge regularization. Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015, AI Access Foundation, 2015, p. 2332-2338. Source
  10. Song, Yangqiu; Wang, Shusen; Wang, Haixun. (2015). Open domain short text conceptualization: A generative + descriptive modeling approach. IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence / edited by Wooldridge Michael; Yang Qiang. International Joint Conferences on Artificial Intelligence, 2015, p. 3820-3826. Source
  11. Song, Yangqiu; Wang, Chenguang; Zhang, Ming; Sun, Hailong; Yang, Qiang. (2015). Spectral label refinement for noisy and missing text labels. Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015, AI Access Foundation, 2015, p. 2972-2978. Source
  12. Tan, Ben; Song, Yangqiu; Zhong, Erheng; Yang, Qiang. (2015). Transitive transfer learning. KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2015, p. 1155-1164. Source
  13. Song, Yangqiu; Roth, Dan. (2015). Unsupervised sparse vector densification for short text similarity. NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2015, p. 1275-1280. Source
  14. Yang, Yi; Pan, Shimei; Song, Yangqiu; Lu, Jie; Topkara, Mercan. (2015). User-directed non-disruptive topic model update for effective exploration of dynamic content. IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces, Association for Computing Machinery, 2015, p. 158-168. Source

2014

  1. Xintong, Guo; Hongzhi, Wang; Song, Yangqiu; Hong, Gao. (2014). Brief survey of crowdsourcing for data mining. Expert Systems with Applications, v. 41, (17), p. 7987-7994. Source
  2. Cambria, Erik; Song, Yangqiu; Wang, Haixun; Howard, Newton. (2014). Semantic multidimensional scaling for open-domain sentiment analysis. IEEE Intelligent Systems, v. 29, (2), p. 44-51, article number 6383145. Source
  3. Zhen, Yi; Song, Yangqiu; Yeung, Dit Yan. (2014). Semiparametric preference learning. Tsinghua Science and Technology, v. 19, (3), p. 257-264, article number 6838196. Source
  4. Song, Yangqiu; Roth, Dan. (2014). On dataless hierarchical text classification. Proceedings of the National Conference on Artificial Intelligence, AI Access Foundation, 2014, p. 1579-1585. Source
  5. Ancha, Siddarth; Kundu, Gourab; Mayhew, Stephen; Roth, Dan; Sammons, Mark; Song, Yangqiu; Tsai, Chen-Tse; Upadhyay, Shyam; Wang, Ruichen. (2014). Overview of UI-CCG Systems for Event Argument Extraction, Entity Discovery and Linking, and Slot Filler Validation. Paper presented at Text Analysis Conference 2014. Source
  6. Wei, Ying; Song, Yangqiu; Zhen, Yi; Liu, Bo; Yang, Qiang. (2014). Scalable heterogeneous translated hashing. KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2014, p. 791-800. Source
  7. Yang, Deqing; Xiao, Yanghua; Song, Yangqiu; Zhang, Junjun; Zhang, Kezun; Wang, Wei. (2014). Tag propagation based recommendation across diverse social media. WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web, Association for Computing Machinery, Inc, 2014, p. 407-408. Source
  8. Song, Yangqiu; Wang, Haixun; Chen, Weizhu; Wang, Shusen. (2014). Transfer understanding from head queries to tail queries. CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, 2014, p. 1299-1308. Source

2013

  1. Song, Yangqiu; Pan, Shimei; Liu, Shixia; Wei, Furu; Zhou, Michelle X.; Qian, Weihong. (2013). Constrained text coclustering with supervised and unsupervised constraints. IEEE Transactions on Knowledge and Data Engineering, v. 25, (6), p. 1227-1239, article number 6165284. Source
  2. Song, Yangqiu; Lu, Zhengdong; Leung, Cane Wing Ki; Yang, Qiang. (2013). Collaborative boosting for activity classification in microblogs. KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining / edited by Parekh Rajesh; He Jingrui; Inderjit Dhillon S.; Bradley Paul; Koren Yehuda; Ghani Rayid; Senator Ted E.; Grossman Robert L.; Uthurusamy Ramasamy. Association for Computing Machinery, 2013, p. 482-490. Source
  3. Hua, Wen; Song, Yangqiu; Wang, Haixun; Zhou, Xiaofang. (2013). Identifying Users’ Topical Tasks in Web Search. Proceedings of the sixth ACM International Conference on Web Search and Data Mining, New York, NY, USA : ACM, 2013, p. 93-102. Source
  4. Wu, Fangzhao; Song, Yangqiu; Liu, Shixia; Huang, Yongfeng; Liu, Zhenyu. (2013). Lead-lag analysis via sparse co-projection in correlated text streams. CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013, p. 2069-2078. Source
  5. Wang, Xiting; Liu, Shixia; Song, Yangqiu; Guo, Baining. (2013). Mining evolutionary multi-branch trees from text streams. KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining / edited by Parekh Rajesh; He Jingrui; Inderjit Dhillon S.; Bradley Paul; Koren Yehuda; Ghani Rayid; Senator Ted E.; Grossman Robert L.; Uthurusamy Ramasamy. Association for Computing Machinery, 2013, p. 722-730article number 2487603. Source
  6. Pan, Shimei; Zhou, Michelle; Song, Yangqiu; Qian, Weihong; Wang, Fei; Liu, Shixia. (2013). Optimizing temporal topic segmentation for intelligent text visualization. IUI 2013 - Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013, p. 339-349. Source

2012

  1. Wu, Yingcai; Cui, Weiwei; Song, Yangqiu; Chen, Yang; Liu, Shixia. (2012). A survey on topic-based visual text analytics. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, v. 24, (10), p. 1266-1272. Source
  2. Tan, Li; Song, Yangqiu; Liu, Shixia; Xie, Lexing. (2012). ImageHive: Interactive content-aware image summarization. IEEE Computer Graphics and Applications, v. 32, (1), p. 46-55, article number 6051407. Source
  3. Liu, Shixia; Zhou, Michelle X.; Pan, Shimei; Song, Yangqiu; Qian, Weihong; Cai, Weijia; Lian, Xiaoxiao. (2012). TIARA: Interactive, topic-based visual text summarization and analysis. ACM Transactions on Intelligent Systems and Technology, v. 3, (2), article number 25. Source
  4. Liu, Xueqing; Song, Yangqiu; Liu, Shixia; Wang, Haixun. (2012). Automatic taxonomy construction from keywords. KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012, p. 1433-1441. Source

2011

  1. Chen, Wen Yen; Song, Yangqiu; Bai, Hongjie; Lin, Chih Jen; Chang, Edward Y.. (2011). Parallel spectral clustering in distributed systems. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 33, (3), p. 568-586, article number 5444877. Source
  2. Cui, Weiwei; Liu, Shixia; Tan, Li; Shi, Conglei; Song, Yangqiu; Gao, Zekai; Tong, Xin; Qu, Huamin. (2011). Textflow: Towards better understanding of evolving topics in text. IEEE Transactions on Visualization and Computer Graphics, v. 17, (12), p. 2412-2421, article number 6065008. Source
  3. Chen, Wen Yen; Song, Yangqiu; Bai, Hongjie; Lin, Chih Jen; Chang, Edward Y.. (2011). Large-scale spectral clustering with mapreduce and MPI. Scaling up Machine Learning / Cambridge University Press, 2011, p. 240-261. Source
  4. Cambria, Erik; Song, Yangqiu; Wang, Haixun; Hussain, Amir. (2011). Isanette: A common and common sense knowledge base for opinion mining. Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011, 2011, p. 315-322article number 6137396. Source
  5. Song, Yangqiu; Wang, Haixun; Wang, Zhongyuan; Li, Hongsong; Chen, Weizhu. (2011). Short text conceptualization using a probabilistic knowledgebase. IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence, 2011, p. 2330-2336. Source
  6. Gao, Zekai J.; Song, Yangqiu; Liu, Shixia; Wang, Haixun; Wei, Hao; Chen, Yang; Cui, Weiwei. (2011). Tracking and connecting topics via incremental hierarchical Dirichlet processes. Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011, 2011, p. 1056-1061article number 6137314. Source

2010

  1. Zhang, Changshui; Cai, Qutang; Song, Yangqiu. (2010). Boosting with pairwise constraints. Neurocomputing, v. 73, (4-6), p. 908-919. Source
  2. Liu, Shixia; Pan, Shimei; Qian, Weihong; Song, Yangqiu; Wei, Furu; Zhou, Michelle X.. (2010). Constrained Co-clustering for Textual Documents. Paper presented at Proceedings of the National Conference on Artificial Intelligence. Source
  3. Zhang, Jianwen; Song, Yangqiu; Zhang, Changshui; Liu, Shixia. (2010). Evolutionary hierarchical Dirichlet processes for multiple correlated time-varying corpora. KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data, 2010, p. 1079-1088. Source
  4. Wang, Zheng; Song, Yangqiu; Zhang, Changshui. (2010). Homotopy regularization for boosting. Proceedings - 10th IEEE International Conference on Data Mining, ICDM 2010, 2010, p. 1115-1120article number 5694094. Source
  5. Wei, Furu; Liu, Shixia; Song, Yangqiu; Pan, Shimei; Zhou, Michelle X.; Qian, Weihong; Shi, Lei; Tan, Li; Zhang, Qiang. (2010). TIARA: A visual exploratory text analytic system. KDD'10 - Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data, 2010, p. 153-162. Source

2009

  1. Nie, Feiping; Xiang, Shiming; Song, Yangqiu; Zhang, Changshui. (2009). Extracting the optimal dimensionality for local tensor discriminant analysis. Pattern Recognition, v. 42, (1), p. 105-114. Source
  2. Zhang, Chunxia; Xiang, Shiming; Nie, Feiping; Song, Yangqiu. (2009). Nonlinear dimensionality reduction with relative distance comparison. Neurocomputing, v. 72, (7-9), p. 1719-1731. Source
  3. Nie, Feiping; Xiang, Shiming; Song, Yangqiu; Zhang, Changshui. (2009). Orthogonal locality minimizing globality maximizing projections for feature extraction. Optical Engineering, v. 48, (1), article number 017202. Source
  4. Song, Yangqiu; Zhang, Changshui; Lee, Jianguo; Wang, Fei; Xiang, Shiming; Zhang, Dan. (2009). Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Analysis and Applications, v. 12, (2), p. 99-115. Source
  5. Wang, Zheng; Song, Yangqiu; Zhang, Changshui. (2009). Efficient active learning with boosting. Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133, 2009, p. 1224-1235. Source
  6. Wang, Zheng; Song, Yangqiu; Zhang, Changshui. (2009). Knowledge transfer on hybrid graph. Proceedings of the 21st International Joint Conference on Artificial Intelligence, 2009, p. 1291-1296. Source
  7. Zhang, Jianwen; Song, Yangqiu; Chen, Gang; Zhang, Changshui. (2009). On-line evolutionary exponential family mixture. IJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2009, p. 1610-1615. Source
  8. Song, Yangqiu; Pan, Shimei; Liu, Shixia; Zhou, Michelle X.; Qian, Weihong. (2009). Topic and keyword re-ranking for LDA-based topic modeling. ACM 18th International Conference on Information and Knowledge Management, CIKM 2009, 2009, p. 1757-1760. Source

2008

  1. Song, Yangqiu; Nie, Feiping; Zhang, Changshui; Xiang, Shiming. (2008). A unified framework for semi-supervised dimensionality reduction. Pattern Recognition, v. 41, (9), p. 2789-2799. Source
  2. Song, Yangqiu; Zhang, Changshui. (2008). Content-based information fusion for semi-supervised music genre classification. IEEE Transactions on Multimedia, v. 10, (1), p. 145-152. Source
  3. Xiang, Shiming; Nie, Feiping; Song, Yangqiu; Zhang, Changshui. (2008). Contour graph based human tracking and action sequence recognition. Pattern Recognition, v. 41, (12), p. 3653-3664. Source
  4. Song, Yangqiu; Lee, Jianguo; Zhang, Changshui; Xiang, Shiming. (2008). Semi-supervised Gaussian random field transduction and induction. Frontiers of Electrical and Electronic Engineering in China, v. 3, (1), p. 1-9. Source
  5. Song, Yangqiu; Nie, Feiping; Zhang, Changshui. (2008). Semi-supervised sub-manifold discriminant analysis. Pattern Recognition Letters, v. 29, (13), p. 1806-1813. Source
  6. Zhao, Bin; Wang, Fei; Zhang, Changshui; Song, Yangqiu. (2008). Active model selection for graph-based semi-supervised learning. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2008, p. 1881-1884article number 4518001. Source
  7. Cai, Qu Tang; Song, Yang Qui; Zhang, Chang Shui. (2008). Cost-sensitive boosting algorithms as gradient descent. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2008, p. 2009-2012article number 4518033. Source
  8. Song, Yangqiu; Chen, Wen Yen; Bai, Hongjie; Lin, Chih Jen; Chang, Edward Y.. (2008). Parallel spectral clustering. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2008, Proceedings, 2008, p. 374-389. Source
  9. Bai, Hongjie; Miao, Gengxin; Song, Yangqiu; Zhang, Dong. (2008). Parallel Spectral Clustering Algorithm forLarge-Scale Community Data Mining. Paper presented at Conference Contribution. Source
  10. Zhang, Bin; Song, Yangqiu; Yin, Wenjun; Xie, Ming; Dong, Jin; Zhang, Changshui. (2008). Semi-supervised dimensionality reduction for image retrieval. Proceedings of SPIE-IS and T Electronic Imaging - Visual Communications and Image Processing 2008, 2008, article number 682225. Source
  11. Chen, Gang; Song, Yangqiu; Wang, Fei; Zhang, Changshui. (2008). Semi-supervised multi-label learning by solving a sylvester equation. Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130, Society for Industrial and Applied Mathematics Publications, 2008, p. 410-419. Source
  12. Chen, Shouchun; Wang, Fei; Song, Yaangqiu; Zhang, Changshui. (2008). Semi-supervised ranking aggregation. Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08, 2008, p. 1427-1428. Source
  13. Wang, Zheng; Song, Yangqiu; Zhang, Changshui. (2008). Transferred Dimensionality Reduction. Lecture Notes in Computer Science, v. 5212, 2008, p. 550-565. Source

2007

  1. Song, Yangqiu; Cai, Qutang; Nie, Feiping; Zhang, Changshui. (2007). Semi-Supervised Additive Logistic Regression: A Gradient Descent Solution. Tsinghua Science and Technology, v. 12, (6), p. 638-646. Source
  2. Qiao, Qifeng; Shi, Zhenwei; Song, Yangqiu; Zhang, Dan; Zhang, Changshui. (2007). A Supervised Method to Chart Multiple Manifolds. Paper presented at Conference Contribution. Source
  3. Xiang, Shiming; Nie, Feiping; Song, Yangqiu; Zhang, Changshui; Zhang, Chunxia. (2007). Embedding new data points for manifold learning via coordinate propagation. Advances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Proceedings, Springer Verlag, 2007, p. 332-343. Source
  4. Nie, Feiping; Xiang, Shiming; Song, Yangqiu; Zhang, Changshui. (2007). Extracting the optimal dimensionality for discriminant analysis. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, 2007, p. II617-II620article number 4217484. Source
  5. Zhang, Dan; Shi, Zhenwei; Song, Yangqiu; Zhang, Changshui. (2007). Localized content-based image retrieval using semi-supervised multiple instance learning. Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings, Springer Verlag, 2007, p. 180-188. Source
  6. Nie, Feiping; Xiang, Shiming; Song, Yangqiu; Zhang, Changshui. (2007). Optimal dimensionality discriminant analysis and its application to image recognition. 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07, 2007, article number 4270409. Source
  7. Song, Yangqiu; Zhang, Bin; Yin, Wenjun; Zhang, Changshui; Dong, Jin. (2007). Ranking with semi-supervised distance metric learning and its application to housing potential estimation. CIKM 2007 - Proceedings of the 16th ACM Conference on Information and Knowledge Management, 2007, p. 975-978. Source
  8. Yangqiu, Song; Changshui, Zhang; Shiming, Xiang. (2007). Semi-supervised music genre classification. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Institute of Electrical and Electronics Engineers Inc., 2007, p. 729-732article number 4217512. Source

2006

  1. Yangqiu, Song; Changshui, Zhang; Jianguo, Lee; Fei, Wang. (2006). A discriminative method for semi-automated tumorous tissues segmentation of MR brain images. 2006 Conference on Computer Vision and Pattern Recognition Workshop, 2006, article number 1640520. Source
  2. Song, Yangqiu; Zhang, Changshui; Lee, Jianguo. (2006). Graph based multi-class semi-supervised learning using Gaussian process. Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings, Springer Verlag, 2006, p. 450-458. Source

2005

  1. Song, Yangqiu; Zhang, Changshui. (2005). New boosting methods of gaussian processes for regression. Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005, 2005, p. 1142-1147article number 1556014. Source