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Research

  • Rong Zhu
  • Research Direction：Computational Neuroscience, Reinforcement Learning, Statistical Methods and Applications
  • Email：rongzhu56(a)gmail.com
  • Website：
  • Brief Introduction：Dr. Rong Zhu is a young researcher at the Institute of Brain-inspired Intelligence Science and Technology, Fudan University. He received his BS degree (Electronic Science and Technology) from Huazhong University of Science and Technology in 2005, and his PhD degree (Mathematical Statistics) from the Institute of Mathematics and Systems Science, Chinese Academy of Sciences in 2012. From 2012 to 2020, he was an assistant researcher at the Institute of Mathematics and Systems Science, Chinese Academy of Sciences. From 2018 to 2020, he was an associate research scientist at Columbia University. During his study and work at the Chinese Academy of Sciences, he mainly researched statistical methods and actual data analysis. In recent years, he mainly researched computational neuroscience and reinforcement learning algorithms. He hosted one of the National Natural Science Foundation of China Youth and General Program.
  • Achievement：

    1. Ting Ma*,Rong Zhu*, Jianghao Wang, Na Zhao, Tao Pei, Yunyan Du, Chenghu Zhou & Jie Chen (*equal contribution) (2019). A proportional odds model of human mobility and migration patterns,International Journal of Geographical Information Science, 33:1, 81-98

    2.Haiying Wang*,Rong Zhu*and Ping Ma (*equal contribution) (2018). Optimal Subsampling for Large SampleLogistic Regression.Journal of American Statistical Association, V113, 829-844

    3.Rong Zhu(2016). Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares.Advances in Neural Information Processing Systems 29.


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