Jincheng Mei   Ph.D. Candidate Department of Computing Science University of Alberta Edmonton, Alberta Canada, T6G 2E8 Email: jmei2 AT ualberta.ca

Bio

I am a Ph.D. candidate. My supervisor is Dale Schuurmans. I am now doing research in the area of machine learning, reinforcement learning, and optimization. I received my M.S. degree from Shanghai Jiao Tong University in 2015. Before that, I received my B.E. degree from South China University of Technology in 2012.

Experiences

• Research Intern, Google Brain.
  

  Aug. 2019 - Present.

• Research Intern, Borealis AI Lab.
  

  Sep. 2018 - Jan. 2019, Mar. 2019 - May 2019, Edmonton, AB, Canada.

Papers

• Frequency-based Search-control in Dyna.
  Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand.
  International Conference on Learning Representations (ICLR), 2020.
  

  [Paper]

• Maximum Entropy Monte-Carlo Planning.
  Chenjun Xiao, Jincheng Mei, Ruitong Huang, Dale Schuurmans, Martin Müller.
  Advances in Neural Information Processing Systems (NeurIPS), 2019.
  

  [Paper]

• On Principled Entropy Exploration in Policy Optimization.
  Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller.
  International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  

  [Paper][Long version]

• Memory-Augmented Monte Carlo Tree Search.
  Chenjun Xiao, Jincheng Mei, Martin Müller.
  AAAI Conference on Artificial Intelligence (AAAI), 2018.
  Winner of Outstanding Paper Award
  

  [Paper]

• Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters.
  Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen.
  International Conference on Empirical Methods in Natural Language Processinge (EMNLP), 2017.
  

  [Paper]

• Discovering Author Interest Evolution in Topic Modeling.
  Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu.
  International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016.
  

  [Paper]

• On the Reducibility of Submodular Functions.
  Jincheng Mei, Hao Zhang, Bao-Liang Lu.
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2016.
  

  [Paper]

• On Unconstrained Quasi-Submodular Function Optimization.
  Jincheng Mei, Kang Zhao, Bao-Liang Lu.
  AAAI Conference on Artificial Intelligence (AAAI), 2015.
  

  [Paper]

• Locality Preserving Hashing.
  Kang Zhao, Hongtao Lu, Jincheng Mei.
  AAAI Conference on Artificial Intelligence (AAAI), 2014.
  

  [Paper]

• Saliency Level Set Evolution.
  Jincheng Mei, Bao-Liang Lu.
  International Conference on Neural Information Processing (ICONIP), 2014.
  

  [Paper]