About me

I am a Ph.D. student in Industrial Engineering at Pennsylvania State University. I am advised by Dr. Necdet Serhat Aybat. I also work closely with Dr. Mert Gürbüzbalaban. My research lies in the algorithmic foundations of optimization, exploring its theoretical and practical dimensions. I also possess a keen interest in the intricate interplay between optimization and artificial intelligence.

Recent News

[2023.09] The paper Robust Accelerated Primal-dual Methods for Computing Saddle Points is accepted by SIAM Journal on Optimization (SIOPT).
[2023.07] The paper Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization is online.
[2022.06] I will give a talk at INFORMS Annual Meeting 2023 in Phoenix in October 2023.
[2022.03] I will be the Research & Development Intern (full-time) at Tencent America LIGHTSPEED STUDIOS in Bellevue from May 2023.
[2022.09] The paper SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems is accepted by NeurIPS 2022.

Industrial Experience

• Research & Development Intern, LIGHTSPEED STUDIOS, Tencent America, 2023.
  • Multi-agent navigation by graph neural networks, imitation learning, and reinforcement learning.
  • Cuda programming for Unreal Engine 5.

Skills

• Python(PyTorch etc.), C++, General Purpose GPU Programming(cuda), Matlab

Education

• Pennsylvania State University, PA, USA.
  Ph.D. candidate, Industrial Engineering & Operations Research, 2019 - Present.
• The University of Wisconsin Madison, WI, USA.
  M.S. in Mathematics, 2019.
• Nanjing University, Jiangsu, China.
  B.S. in Mathematics and Statistics, 2018.

Miscellaneous

• Glenn E. Singley Memorial Graduate Fellowship in Engineering, The Pennsylvania State University, 2023
• NeurIPS Student Scholarship, 2022
• CSC Scholarship, 2019
• Outstanding Graduate, Nanjing University, 2018