Biography
I am currently a Ph.D. student. My supervisor is Dale Schuurmans. I received the M.S. degree from the Shanghai Jiao Tong University in 2015. Before that, I received the B.E. degree from the South China University of Technology in 2012.
Research Interests
My research interest is in the area of machine learning, reinforcement learning, and optimization.
Education
- Ph.D., 09/2015 - Present, Department of Computing Science, University of Alberta.
- M.Sci., 09/2012 - 03/2015, Department of Computer Science and Engineering, Shanghai Jiao Tong University.
- B.Eng., 09/2008 - 06/2012, School of Software Engineering, South China University of Technology.
Papers
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Memory-Augmented Monte Carlo Tree Search,
Chenjun Xiao, Jincheng Mei, Martin Müller.
AAAI Conference on Artificial Intelligence (AAAI), 2018.
Outstanding Paper Award
[Paper]
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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]
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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), 2017.
[Paper]
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On the Reducibility of Submodular Functions,
Jincheng Mei, Hao Zhang, Bao-Liang Lu.
International Conference on
Artificial Intelligence and Statistics (AISTATS), 2016.
[Paper]
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On Unconstrained Quasi-Submodular Function Optimization,
Jincheng Mei, Kang Zhao, Bao-Liang Lu.
AAAI Conference on Artificial Intelligence (AAAI), 2015.
[Paper]
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Locality Preserving Hashing,
Kang Zhao, Hongtao Lu, Jincheng Mei.
AAAI Conference on Artificial Intelligence (AAAI), 2014.
[Paper]
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Saliency Level Set Evolution,
Jincheng Mei, Bao-Liang Lu.
International Conference on Neural Information Processing (ICONIP), 2014.
[Paper]
Other Links
Last Modified: 2018-01-16