Activities
May 2024, invited speaker, TBA
SIAM Conference on Imaging Science (IS24), Advances in Inverse Problems with Model-based and Data-driven Approaches, Westin Peachtree Plaza, Atlanta, GA.
Nov. 2023, poster presenter, A bilevel optimization approach for inverse mean-field games
Triangle Computational and Applied Mathematics Symposium, Duke University, Durhan, NC.
Oct. 2023, co-organizer (with Prof. Rongjie Lai) of mini-symposium Optimal Transport: Computation, Applications, and Extensions; speaker, Computational mean-field games on manifolds
SIAM NYNJPA 1st Annual Meeting, New Jersey Institute of Technology, NJ.
Oct. 2023, invited speaker, Computational mean-field games: from conventional methods to deep generative models
IMA Data Science Seminar, University of Minnesota, Minneapolis, MN.
Oct. 2023, invited speaker, A bilevel optimization approach for inverse mean-field games
RTG Seminar, University of South Carolina, Columbia, SC.
Sept. 2023, participant,
Mathematical and Scientific Foundations of Deep Learning Annual Meeting, New York, NY.
Aug. 2023, invited speaker, A bilevel optimization approach for inverse mean-field games
Conference on Modeling and Optimization: Theory and Applications (MOPTA), Tensor Optimization, Lehigh University, Bethlehem, PA.
July 2023 (Virtual), invited speaker, Computational mean-field games: from conventional methods to deep generative models
Guest lecture at Summer School on Mathematical Foundation of Data Science, University of South Carolina.
May 2023, participant
MRC Conference: Ricci Curvatures of Graphs and Applications to Data Science, Beaver Hollow Conference Center, Java Center, NY.
June 2022 (Virtual), invited speaker, Computational mean-field games on manifolds
Optimal Transport and Mean-Field Games Seminar, University of South Carolina.
June 2022, poster presenter, Computational mean-field games on Euclidean space and manifolds
The 2022 AWM Research Symposium, Poster Session, University of Minnesota, Minneapolis, MN.
March 2021 (Virtual), invited speaker, An efficient and flexible algorithm for dynamic mean-field planning and convergence analysis
Optimal Transport and Mean-Field Games Seminar, University of South Carolina.