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