Research Interests

large language model, knowledge graph, recommender system, Web mining

Awards & Honors

ACL 2023 Outstanding Paper

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

• Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao: Faster Local Solvers for Graph Diffusion Equations, in NeurIPS 2024.
• 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)
• Xinfeng Yuan, Siyu Yuan, …, Deqing Yang*: Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works, in EMNLP 2024. (source)
• Yuchen Shi, Guochao Jiang, Tian Qiu, Deqing Yang*: AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction, in CIKM 2024.
• Siyu Yuan, Jiangjie Chen, …, Deqing Yang*: ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base, in ACL 2024. (source)
• Yanda Li, Dixuan Wang, …, Deqing Yang*: Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding, in NAACL 2024. (source)
• Zepeng Ding, Wenhao Huang, …, Deqing Yang: Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction, in COLING 2024. (source)
• Guochao Jiang, Ziqin Luo, …, Deqing Yang*: ToNER: Type-oriented Named Entity Recognition with Generative Language Model, in COLING 2024.
• Zhen Chen, Jingping Liu, Deqing Yang* et al.: Exploiting Duality in Open Information Extraction with Predicate Prompt, in WSDM 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)
• Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang*: Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction, in EMNLP 2023. (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)
• Chengwei Hu, Deqing Yang*, Haoliang Jin, Zhen Chen, Yanghua Xiao: Improving Continual Relation Extraction through Prototypical Contrastive Learning, in COLING 2022. (source)
• Caiyan Cao, Deqing Yang*, Jingping Liu et al.: A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction, in CIKM 2022. (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)
• Li Cui, Deqing Yang*, Chengwei Hu et al.: Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction, in ACL 2021. (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)
• Deqing Yang*, Zengchun Song, Lvxin Xue et al.: A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention, in SIGIR 2020. (source)
• Junyang Jiang, Deqing Yang*, Yanghua Xiao, Chenlu Shen: Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty, in IJCAI 2019. (source)
• Deqing Yang*, Zikai Guo, Ziyi Wang et al.: A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-based Models, in ICDM 2018. (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, 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, 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 Theory and Technology of Dual-System Cognitive Intelligence Jointly Driven by Data and Knowledge”, 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.
• “Outlier group mining and behavior prediction based on mobile big data”, National NSF of China, United Project No.U1636207, 2017/01-2020/12, 2,520k(CNY), attendance.
• “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

• Journal Editor: Frontiers in Big Data
• Journal Reviewer: TKDE, Expert Systems with Applicaitons, Applied Intelligence, etc.
• Conference PC member: AAAI 2019~2025, KDD 2022~2024, ARR 2023~2024, ECML-PKDD 2022, etc.

Patents

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

Teaching Courses

• Frontier Technology and Practice of Cognitive Intelligence, since spring 2024
• User Behavior Analysis on New Media, since spring 2018
• Social Network Mining, since spring 2017
• Technologies of New Media, since autumn 2014