Jie Jiang

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Jie Jiang, Ph.D.
Associate Professor in College of Mathematics and Statistics of Chongqing University
Address: No.55 Daxuecheng South Road, Shapingba, Chongqing, 401331, China
Email: jiangjiecq@163.com

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About me

I'm currently working at College of Mathematics and Statistics of Chongqing University as an associate professor. I got my Bachelor of Applied Mathematics from Xi'an Jiaotong University in 2013. Then I began to study for my doctorate. I participated in a joint PhD program between Xi'an Jiaotong University and The Hong Kong Polytechnic University. This makes me to own two PhD degrees: Doctor of Mathematics from Xi'an Jiaotong University (supervised by Prof. Zhiping Chen) and Doctor of Philosophy from The Hong Kong Polytechnic University (supervised by Prof. Xiaojun Chen). My both doctoral careers ended in Sep. 2019. In October 2019, I joined Chongqing University located in Chongqing municipality of China to be an assistant professor in College of Mathematics and Statistics. In September 2023, I was appointed as an associate professor.

Education

Employment

  • 2023.09--now: Associate Professor, College of Mathematics and Statistics, Chongqing University.

  • 2023.07--2023.08: Research Fellow, The Department of Applied Mathematics, The Hong Kong Polytechnic University.

  • 2022.10--2023.08: Tenured Assistant Professor, College of Mathematics and Statistics, Chongqing University.

  • 2020.03--2023.06: Postdoctoral Fellow, CAS AMSS-PolyU Joint Laboratory of Applied Mathematics, The Hong Kong Polytechnic University.

  • 2019.10--2022.09: Assistant Professor, College of Mathematics and Statistics, Chongqing University.

Grants

  • The China Postdoctoral Science Foundation (Grant No. 2020M673117), 2020.07-2022.06

  • The National Natural Science Foundation of China (Grant No. 12201084), 2023.01-2025.12

  • The China Postdoctoral Science Foundation (Grant No. 2023M730417), 2023.07-2025.06

Research Interests

  • Stochastic Optimization/Equilibrium

  • Distributionally Robust Optimization

  • (Stochastic) Algorithms for Stochastic Optimization/Equilibrium

  • Statistical Inference

  • Machine Learning, Deep Neural Networks, Reinforcement Learning