Researcher


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YANG Deqing    阳 德青   

Associate Professor

yangdeqing@fudan.edu.cn

Vice Dean of the School of Data Science, Institute for Advanced Study

Fudan University, Shanghai 200433, China

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

Books

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