Research Interests

knowledge graph, information extraction, recommender system, social network mining

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

Publications (DBLP personal homepage)

Selected Conference/Journal Publications

• Jiaxin Yu, Deqing Yang*, Shuyu Tian, Yanghua Xiao: Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction, in NAACL 2022.
• Lyuxin Xue, Deqing Yang*, Yanghua Xiao: Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation, in ICME 2022.
• Baichuan Liu, Deqing Yang*, Yuchen Shi, Yueyi Wang: Improving Information Cascade Modeling by Social Topology and Dual Role User Dependency, in DASFAA 2022. (source)
• Weiguo Zheng, Mei Zhang, Deqing Yang et al.: Towards Combinational Relation Linking over Knowledge Graphs, in World Wide Web Journal, Dec. 2021.
• 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 ExtractionBased on Machine Reading Comprehension, in ISWC 2021. (source)
• Li Cui, Deqing Yang*, Jiayang Cheng, Yanghua Xiao: Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction, in PAKDD 2021.
• Deqing Yang*, Chenlu Shen, Baichuan Liu, et al.: Generating Knowledge-based Attentive User Representations for Sparse Interaction Recommendation, in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (source)
• 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.
• 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)
• 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.
• 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*, Lihan Chen, Jiaqing Liang, Yanghua Xiao, Wei Wang: Social Tag Embedding for the Recommendation of Sparse User-item Interactions, in ASONAM 2018.
• Deqing Yang*, Yanghua Xiao, Yangqiu Song, Wei Wang: Semantic-based Recommendation Across Heterogeneous Domains, in ICDM 2015.
• Deqing Yang*, Jingrui He, Huazheng Qin, Yanghua Xiao, Wei Wang: A Graph-based Recommendation across Heterogeneous Domains, in CIKM 2015.
• Deqing Yang, Yanghua Xiao, Yangqiu Song, Junjun Zhang, Kezun Zhang, Wei Wang: Tag propagation based recommendation across diverse social media, in WWW 2014.
• Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang: Which Topic Will You Follow? in ECML-PKDD 2012.

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

• “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.
• “Personalized service platform based on big data”, Shanghai Municipal Education Commission, 2015/03-2016/06, 500k(CNY), PI.

Academic Experiences

• Review Editor of Frontiers in Big Data, PhD Forum and Posters Track Co-chair of ASONAM 2022.
• PC member: KDD 2022, AAAI 2019~2022, ICKG 2020, PIC 2020~2021.

Patents

• A crowd profiling system and method based on Weibo tags, CNID: 201310481674.3
• A personalized recommender system based on Chinese knowledge graph, CNID: 201310565133.9
• A deep recommendation model based on Gaussian Distribution Embeddings, CNID: 201910920671.2
• A session-based recommendation model incorporating user micro-behaviors and knowledge graph, CNID: 202010822297.5

Teaching Courses

• Big Data Communication and New Media Analysis, since spring 2018
• User Behavior Analysis on New Media, since spring 2018
• Social Network Mining, since spring 2017
• Technologies of New Media, since autumn 2014