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
Sep. 2023: The code for our UAI 2023 paper “Generating Synthetic Datasets by Interpolating along Generalized Geodesics” is published on GitHub!
July 2023: I am selected to receive a Herbert P. Haley Fellowship award from Georgia Tech!
July 2023: The paper “Nesterov smoothing for sampling without smoothness” gets accepted by CDC 2023!
June 2023: I am awarded UAI 2023 scholarship!
June 2023: The paper “Neural Monge Map estimation and its applications” gets accepted by TMLR 2023!
May 2023: The papers “Improved dimension dependence of a proximal algorithm for sampling” and “On a Class of Gibbs Sampling over Networks” get accepted by COLT 2023!
May 2023: The paper “Generating Synthetic Datasets by Interpolating along Generalized Geodesics” gets accepted by UAI 2023!
Oct 2022: I am selected as the Neurips 2022 Top Reviewer!
May 2022: The paper Variational Wasserstein gradient flow gets accepted by ICML 2022! The code is also published on github.
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!