Research Interests

LLM-based agent, knowledge graph, recommender system, etc.

Awards & Honors

ACL 2023/2025 Outstanding Papers

CIKM 2022 Best (Short) Paper

2022 WU Wenjun AI Science & Technology Award (Third Prize)

Education

• Ph.D. in School of Computer Science, Fudan University, June, 2013
• M.Sc. in Dept. of Computer Science and Engineering, Fudan University, June, 2005
• B.Sc. in Dept. of Computer Science and Engineering, Fudan University, June, 2002

Selected Publications (DBLP personal homepage)

Conferences

• Ganlin Xu, Linghao Zhang, Zhitao Yin, …, Deqing Yang*: When RAG Meets Query Planning: Logical Query Trees for Resolving Exploratory Reasoning Problems, in SIGMOD 2027. (source)
• Zhichao Yang, Caiqi Zhang, Ruihan Yang, …, Deqing Yang*: When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs, in EMNLP 2026. (source)
• Hongru Hou, Tiehua Mei, Denghui Geng, …, Deqing Yang*: ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation, in ICML 2026. (source)
• Ruihan Yang, Fanghua Ye*, …, Deqing Yang*, Linus: Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents, in ICML 2026. (source)
• Powei Chang, Jin Xiao, …, Deqing Yang, Jiaqing Liang*: What Makes an Ideal Quote? Recommending “Unexpected yet Rational” Quotations via Novelty, in ACL 2026. (source)
• Ganlin Xu, Zhitao Yin, …, Deqing Yang*: ComLQ: Benchmarking Complex Logical Queries in Information Retrieval, in AAAI 2026. (source)
• Ruihan Yang, Yikai Zhang, …, Deqing Yang*, Yanghua Xiao: ARIA: Training Language Agents with Intention-Driven Reward Aggregation, in NeurIPS 2025 (Spotlight). (source)
• Ruihan Yang, Fanghua Ye, …, Deqing Yang*: The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement, in NeurIPS 2025. (source)
• Tiehua Mei, Hengrui Chen, …, Deqing Yang*: GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems, in KDD 2025. (source)
• Nianqi Li, Siyu Yuan, …, Deqing Yang, Yanghua Xiao: Past Meets Present: Creating Historical Analogy with Large Language Models , in ACL 2025 (Outstanding Paper). (source)
• Yiting Ran, Xintao Wang, …, Deqing Yang*: BOOKWORLD: From Novels to Interactive Agent Societies for Creative Story Generation, in ACL 2025. (source)
• Ganlin Xu, Zhoujia Zhang, …, Deqing Yang*: Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries, in ACL 2025. (source)
• Ruihan Yang, Caiqi Zhang, …, Deqing Yang*: LoGU: Long-form Generation with Uncertainty Expressions, in ACL 2025. (source)
• Ruihan Yang, Jiangjie Chen, …, Deqing Yang*: SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals, in NAACL 2025. (source)
• Zhijun Xu, Siyu Yuan, Lingjie Chen, Deqing Yang*: “A good pun is its own reword”: Can Large Language Models Understand Puns?, in EMNLP 2024. (source)
• Siyu Yuan, Jiangjie Chen, …, Deqing Yang*: ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base, in ACL 2024. (source)
• Siyu Yuan, Jiangjie Chen, …, Deqing Yang*, Yanghua Xiao: Distilling Script Knowledge from Large Language Models for Constrained Language Planning, in ACL 2023 (Outstanding Paper). (source)
• Jingsong Yang, Gavin Han, Deqing Yang* et al.: M3PT: A Multi-Modal Model for POI Tagging, in KDD 2023. (source)
• Siyu Yuan, Deqing Yang* et al.: Causality-aware Concept Extraction based on Knowledge-guided Prompting, in ACL 2023. (source)
• Shuoyao Zhai, Baichuan Liu, Deqing Yang*, Yanghua Xiao: Group Buying Recommendation Model Based on Multi-task Learning, in ICDE 2023. (source)
• Jinghao Ju, Deqing Yang*, Jingping Liu: Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model, in CIKM 2022 (Best Short Paper). (source)
• Wenjing Meng, Deqing Yang*, Yanghua Xiao: Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation, in SIGIR 2020. (source)

Journals

• Lyuxin Xue, Deqing Yang*, Shuoyao Zhai, Yuxin Li, Yanghua Xiao: Learning Dual-view User Representations for Enhanced Sequential Recommendation, in ACM Trans. Inf. Syst. (TOIS), 41(4): 86:1-86:26, 2023. (source)
• Deqing Yang*, Chenlu Shen, Baichuan Liu et al.: Generating Knowledge-based Attentive User Representations for Sparse Interaction Recommendation, in IEEE Trans. Knowl. Data Eng. (TKDE), 34(9): 4270-4284, 2022. (source)
• Weiguo Zheng, Mei Zhang, Deqing Yang et al.: Towards Combinational Relation Linking over Knowledge Graphs, in World Wide Web Journal (WWWJ), Dec. 2021.
• Deqing Yang*, Xi Xia, Lin Ye, Lyuxin Xue, Yanghua Xiao: Knowledge-enhanced Recommender Systems: A Survey and Prospect, in Journal of Cyber Security, 2021.
• Haiyun Jiang, Deqing Yang, Yanghua Xiao, Wei Wang: Understanding A Bag of Words by Conceptual Labeling with Prior Weights, in World Wide Web Journal (WWWJ), Apr. 2020.
• Haiyun Jiang, Juntao Liu, Sheng Zhang, Deqing Yang et al.: Surface Pattern Enhanced Relation Extraction with Global Constraints, in Knowledge and Information Systems (KAIS), Aug. 2020.

Books

• Yanghua Xiao, Deqing Yang et al.: Knowledge Graph, Concepts and Techniques. PHEI 2019, ISBN 9787121371080.
• Bo Xu, Deqing Yang, Qi Liu, Yanghua Xiao: Social Communication Network: Case Study (Chapter). Encyclopedia of Social Network Analysis and Mining (2nd Edition), NY: Springer New York, 2018, pp. 2576–2583. DOI.

Tutorials

• Language Understanding with Knowledge Graphs, in IDEAL 2017.

Important Grants

• “Research on the Key Techniques of Guided Recommendation Based on Large Language Models”, Chinese NSF General Program, No.62572129, 2026/01-2029/12, 500k(CNY), PI.
• “Research on the Theory and Technology of Dual-System Cognitive Intelligence Jointly Driven by Data and Knowledge”, Chinese NSF Major Research Plan, No.92270121, 2023/01-2025/12, 800k(CNY), PI.
• “Complex knwledge representation, acquisition and applications based on cognitive intelligence”, Shanghai Science and Technology Innovation Action Plan No.21511100400, 2021/09-2024/08, 980k(CNY), PI.
• “Auto engine problem solving system based on knowledge graphs”, United Automotive Electronic Systems Co., Ltd. 2020/09-2021/05, 940k(CNY), PI.
• “Construction, annotation and visualization of big biological knowledge base”, National Key Research and Development Plan of China No.2017YFC1201203, 2017/10-2020/10, 4,700k(CNY), attendance.

Academic Experiences

• Area Chair: Association for Computational Linguistics
• Journal Editor: Frontiers in Big Data
• Senior Program Committee: AAAI 2027
• Journal Reviewer: TKDE, Expert Systems with Applicaitons, Applied Intelligence, etc.

Patents

• A group buying recommendation model based on multi-task learning, ZL202310152194.6
• A concept extraction model based on knowledge prompt, ZL202210419758.3
• A deep recommendation model based on Gaussian Distribution Embeddings, ZL201910920671.2
• A crowd profiling system and method based on Weibo tags, ZL201310481674.3
• A personalized recommender system based on Chinese knowledge graph, ZL201310565133.9

Teaching Courses

• Frontier Technology and Practice of Cognitive Intelligence, since autumn 2024
• AI Journalism and Communication, since spring 2025
• Social Network Mining, since spring 2017
• Technologies of New Media, since autumn 2014