Deqing Yang

Research Interests

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

Awards & Honors

• ACL 2023 Outstanding Paper

• CIKM 2022 Best (Short) Pape

• 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

• Jingsong Yang, Gavin Han, Deqing Yang* et al.: M3PT: A Multi-Modal Model for POI Tagging, in KDD 2023. (source)

• Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena: Accelerating Personalized PageRank Vector Computation, in KDD 2023.

• Siyu Yuan, Deqing Yang* et al.: Causality-aware Concept Extraction based on Knowledge-guided Prompting, in ACL 2023. (source)

• Siyu Yuan, Jiangjie Chen, …, Deqing Yang*: Distilling Script Knowledge from Large Language Models for Constrained Language Planning, in ACL 2023 (Outstanding Paper). (source)

• Shuoyao Zhai, Baichuan Liu, Deqing Yang*, Yanghua Xiao: Group Buying Recommendation Model Based on Multi-task Learning, in ICDE 2023. (source)

• Siyu Yuan, Deqing Yang*, Jiaqing Liang et al.: Generative Entity Typing with Curriculum Learning, in EMNLP 2022. (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)

• Jingjie Yi, Deqing Yang*, Siyu Yuan et al.: Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation, in ECML-PKDD 2022. (source)

• Jiaxin Yu, Deqing Yang*, Shuyu Tian: Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction, in NAACL 2022. (source)

• Li Cui, Deqing Yang*, Chengwei Hu et al.: Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction, in ACL 2021. (source)

• Siyu Yuan, Deqing Yang*, Jiaqing Liang et al.: Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension, in ISWC 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)

• Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang et al.: Relation Extraction Using Supervision from Topic Knowledge of Relation Labels, in IJCAI 2019.

• Deqing Yang*, Zikai Guo, Ziyi Wang et al.: A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-based Models, in ICDM 2018. (source)

• Deqing Yang*, Jingrui He, Huazheng Qin, Yanghua Xiao, Wei Wang: A Graph-based Recommendation across Heterogeneous Domains, in CIKM 2015.

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), Accepted. (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), Sep. 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 2019~2023, KDD 2022~2023, ECML-PKDD 2022, etc.

Patents

• 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

• A session-based recommendation model incorporating user micro-behaviors and knowledge graph, CNID: 202010822297.5

• A concept extraction model based on knowledge prompt, CNID: 202210419758.3

Teaching Courses

• Knowledge Computing, since spring 2023

• User Behavior Analysis on New Media, since spring 2018

• Social Network Mining, since spring 2017

• Technologies of New Media, since autumn 2014