About me

​I am a fourth-year PhD student at Georgia Institute of Technology. My advisor is Dr. Yongxin Chen. This is our lab website FLAIR. Before this, I got my Bachelor degree from Shanghai Jiao Tong University (SJTU).

My research interest lies in the interdisciplinary combination of optimal transport, high dimensional probability and machine learning with applications to provable machine learning and geometries on probability distributions.

Here is my CV.

Recent updates

• Oct 2022: I am selected as the Neurips 2022 Top Reviewer!

• Oct 2022: The paper Generating Synthetic Datasets by Interpolating along Generalized Geodesics gets accepted by NeurIPS 2022 Workshop SyntheticData4ML!

• May 2022: The paper Variational Wasserstein gradient flow gets accepted by ICML 2022! The code is also published on github.

• May 2022: I started my research intern in Microsoft Research, New England this month. My mentor is David Alvarez-Melis.

• March 2022: One paper Scalable Computation of Monge Maps with General Costs gets accepted by ICLR 2022 DGM4HSD workshop.

• Jan 2022: Paper: On the complexity of the optimal transport problem with graph-structured cost accepted by AISTATS 2022!

• May 2021: Paper: Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks accepted by ICML 2021 long talks!