Zhongzhu Chen
Ph.D. Student
Department of Industrial and Operations Engineering, University of Michigan
Introduction
I am currently a fifth-year joint Ph.D. candidate at the Department of Industrial and Operations Engineering (IOE) and Michigan Institute for Computational Discovery & Engineering (MICDE) at the University of Michigan, Ann Arbor.
Before joining the University of Michigan, I received my bachelor's degree in Mathematics and Data Science from the School of Mathematical Science and my economics minor from the National School of Development at Peking University, China, in 2019.
I have expertise in optimization, deep learning, generative AI, and statistics with publications in Mathematical Programming, Operations Research, Informs Journal on Computing, ICLR, AAAI, Usenix, etc.
I will be joining Amazon in Feb 2024 as an Applied Scientist II. I am open to cooperation in the research of optimization and diffusion model, please get in touch with me if you are interested.
[CV]
News
February, 2024: I will be joining Amazon in Feb 2024 as an Applied Scientist II.
January, 2024: Our paper "Performative Federated Learning" is accepted by AAAI 2024.
October 15 - 18, 2023: I will be attending informs general meeting. Please feel free to contact me!
May 22 - Aug 25, 2023: I worked at Amazon as an applied scientist intern.
May 31 - June 3, 2023: I am in SIAM OPT & ACDA 2023.
Jan 29 - Apr 2, 2023: I am at Brown University attending ICERM's special semester in combinatorial optimization, please contact me if you want to chat or cooperate.
Jan 20, 2023: Our paper "DensePure: Understanding Diffusion Models Towards Adversarial Robustness" is accepted by ICLR 2023.
Nov 30, 2022: Our paper "On computing with some convex relaxations for the maximum-entropy sampling problem" is accepted by the Informs Journal on Computing.
Jun 28, 2022: Our paper "Technical Note—Masking Anstreicher’s Linx Bound for Improved Entropy Bounds" is accepted by Operations Research.
May 23 - Aug 26, 2022: Worked at Amazon as an applied scientist intern
Mar 13-15, 2022: Attended INFORMS Optimization Society Conference, 2022 [slides].
Dec 28, 2021: Our new paper "On computing with some convex relaxations for the maximum-entropy sampling problem" has been released on axiv.
Oct 23-28, 2021: Attend Informs Annual Meeting 2021 virtually.
Aug 5, 2021: I am promoted to a Ph.D. candidate.
Jan 4, 2021: Our paper "Mixing convex-optimization bounds for maximum-entropy sampling" has been published in Mathematical Programming, Series B.
Membership in Professional Societies
Informs Optimization Society
Informs Computation Society
Michigan Institute for Computational Discovery & Engineering (MICDE)
