About Me
I am a Ph.D. Student in Machine Learning at Georgia Institute of Technology, working with Dr. Eva Dyer. My research interests include deep generative model, contrastive learning, optimal transport, diffusion model and time series forecasting.
Education
Ph.D. in Machine Learning
Georgia Institute of Technology Advised by Eva DyerM.S. in Engineering
Fudan University Co-Advised by Chunhe Li, Wenlian LuB.S. in Biology
Wuhan University Advised by Min WuNews
Our theory paper about alignment problem in CL has been published on Nuerips 2024.
A previous paper of me has been accpeted by the Advanced Science about the dynamics.
I have started my PhD life in Georgia tech!
I have obtained my Master degree in Fudan University!
Publications
Your contrastive learning problem is secretly a distribution alignment problem
Published in Advances in Neural Information Processing Systems (NeurIPS), 2024
Energy landscape reveals the underlying mechanism of cancer-adipose conversion with gene network models
Published in Advanced Science, 11(41), p.2404854.
Towards Highly Flexible Inter-User Calibration of Myoelectric Control Models With User-Defined Hand Gestures
Published in IEEE Transactions on Medical Robotics and Bionics, 2024
Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma
Published in iScience, 2022, 105499
Quantifying the Landscape and Transition Paths for Proliferation–Quiescence Fate Decisions
Published in Journal of Clinical Medicine, 2020, 9(8): 2582