Shiqian Ma, Ph.D.

Shiqian Ma

Associate Professor, Dept. of Computational Applied Mathematics and Operations Research, Rice University

  • Mathematics
  • Graduate Group in Applied Mathematics
  • Electrical and Computer Engineering Graduate Program

Shiqian Ma is currently a tenured associate professor in the Department of Mathematics at University of California, Davis. Shiqian obtained his PhD in Industrial Engineering and Operations Research from Columbia University. 

Research Interests: Numerical Optimization; Operations Research; Machine Learning; Signal Processing; Bioinformatics.

Five Relevant Publications: 

  • Shixiang Chen, Shiqian Ma, Anthony Man-Cho So and Tong Zhang. Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. Accepted in SIAM J. Optimization. 2019. [link]

  • Conghui Tan, Tong Zhang, Shiqian Ma and Ji Liu. Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS. 2018. [link]

  • Shixiang Chen, Shiqian Ma and Wei Liu. Geometric descent method for convex composite minimization. NeurIPS. 2017. [link]

  • Li Shen, Wei Liu, Ganzhao Yuan and Shiqian Ma. GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-term Nonsmooth Convex Composite Optimization. ICML. 2017. [link]

  • Conghui Tan, Shiqian Ma, Yu-Hong Dai and Yuqiu Qian. Barzilai-Borwein Step Size for Stochastic Gradient Descent. NeurIPS. 2016

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