About Me

Zihao Chen

I am a Ph.D. Student in Machine Learning at Georgia Institute of Technology, working under the guidance of Dr. Eva Dyer. My research interests include generative model, contrastive learning, optimal transport, time series forecasting.

Education

Ph.D. in Machine Learning

Georgia Institute of Technology Advised by Eva Dyer

M.S. in Engineering

Fudan University Co-Advised by Chunhe Li, Wenlian Lu

B.S. in Biology

Wuhan University Advised by Min Wu

News

Oct 2024

Our theory paper about alignment problem in CL has been published on Nuerips 2024.

Aug 2024

A previous paper of me has been accpeted by the Advanced Science about the dynamics.

Aug 2023

I have started my PhD life in Georgia tech!

Jan 2023

I have obtained my Master degree in Fudan University!

Publications

Publication 1

Your contrastive learning problem is secretly a distribution alignment problem

Optimal transport Distribution alignment Deep generative model

Chen Z, Lin C, Liu R, Xiao J, Dyer E

Published in Advances in Neural Information Processing Systems (NeurIPS), 2024

Publication 2

Energy landscape reveals the underlying mechanism of cancer-adipose conversion with gene network models

Energy Landscape Stochastic Dynamics

Chen Z, Lu J, Zhao XM, Yu H, Li C

Published in Advanced Science, 2023

Publication 3

Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma

Energy Landscape Stochastic Dynamics

Chen Z, Pillai M, Jolly M K, Li C

Published in iScience, 2022, 105499

Publication 4

Quantifying the Landscape and Transition Paths for Proliferation–Quiescence Fate Decisions

Energy Landscape Stochastic Dynamics

Chen Z, Li C

Published in Journal of Clinical Medicine, 2020, 9(8): 2582