• Graph Learning
  • Reinforcement Learning
  • Optimization


  • Ph.D., Computational Science, 2011

    Florida State University

  • M.S., Electrical Engineering, 2007

    Florida State University

  • B.S., Electronic Science and Technology, 2005

    University of Science and Technology of China

About me

Jie Wang is a Professor at University of Science and Technology of China (USTC), vice dean of the School of the Gifted Young, Deputy Director of the Key Laboratory of “Brain-inspired Intelligent Perception and Cognition” of the Ministry of Education, and the founder of MIRA Lab. He received his BS in electronic information science and technology from USTC in 2005 and his PhD in computational science in 2011 from the Florida State University. Then, he went on to conduct his postdoctoral work at Arizona State University followed by the University of Michigan. Before joining USTC, Dr. Wang held a position of research assistant professor at University of Michigan from 2015. He has broad interests in artificial intelligence, machine learning, reinforcement learning, natural language processing, and large-scale optimization etc. He has published many papers on top machine learning and data mining journals and conferences such as JMLR, TPAMI, NeurIPS, ICML, and SIGKDD. He served as the Area Chair of ICML, NeurIPS, SIGKDD ADS Track, etc. He is an IEEE senior member, CCF distinguished member, associate editor of Neurocomputing, editorial board member of Data Mining and Knowledge Discovery, and the PI of the research project funded by National Science Fund for Excellent Young Scholars.

We are recruiting strongly self-motivated talents — including undergraduates, graduates, and postdocs — to join our group. Please refer to our admission page for more information.


  • 国家自然科学基金企业创新发展联合基金重点项目,面向复杂推理的知识图谱技术,2020/01-2023/12,在研,主持
  • 国家自然科学基金优秀青年科学基金,大规模机器学习优化算法,2019/01-2021/12,主持
  • 国家自然科学基金重点项目,基于脑成像的视听深度神经网络构建与应用,2019/01-2023/12,在研,主持
  • 国家人才计划,2017/08-2020/08,主持


Journal Editorship

  • Associate Editor, Neurocomputing
  • Editorial board member, Data Mining and Knowledge Discovery

Conference & Workshop Organizing Activities

  • Organizer, AAAI Workshop on Artificial Intelligence for Operations Research, 2024
  • Tutorial Chair, ICME 2021

(Senior) Program Committee Member (Selected)

  • Area Chair, ICML 2024
  • Area Chair, NeurIPS 2023
  • Area Chair, SIGKDD ADS Track 2023
  • NeurIPS, 2015-2022
  • ICML, 2018-2019, 2021-2023
  • ICLR, 2018-2020, 2022, 2023
  • SIGKDD, 2018-2023
  • AAAI, 2018-2020, 2022-2024