Talks

---

• A Unified Approach to Analysis and Design of Denoising Markov Models
  Generative Modeling & Sampling Seminar, Microsoft Research New England, Cambridge, MA, Mar. 2026

• Bridging Stochastic Processes and Generative AI: Mathematical Foundations and Scalable Algorithms for Flow and Diffusion Models
  Flatiron Institute, Simons Foundation, New York, NY, Jan. 2026

• Bridging Stochastic Processes and Generative AI: Mathematical Foundations and Scalable Algorithms for Flow and Diffusion Models
  Kempner Institute, Harvard University, Cambridge, MA, Nov. 2025

• Discrete and Continuous Diffusion Models: A Unified Perspective and Beyond
  Flatiron Institute Machine Learning Seminar, New York, NY, Jun. 2025

• Scalable Instruction-Following Multi-Domain Multi-Objective Rankers
  Amazon Shopping Science Summit, Oral Presentation, Fremont, CA, Dec. 2024

• Statistical Spatially-inhomogeneous Diffusion Inference
  SIAM Conference on Mathematics of Data Science, Atlanta, GA, Sep. 2024

• Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
  SIAM Annual Meeting, Spokane, WA, Jul. 2024

• High-dimensional Density Estimation with Tensorizing Flow
  Université de Montréal and Mila - Quebec AI Institute, Montréal, QC, Nov. 2023

• Hermite spectral method for Fokker-Planck-Landau equation modeling collisional plasma
  the 18th Annual Meeting of China Society for Industrial and Applied Mathematics, Changsha, Hunan, China, Oct. 2020

• Numerical Simulation of Plasma Instabilities Using Hermite-Galerkin Spectral Method
  Workshop on Modeling, Algorithm and Analysis on Complex Fluid Dynamics, Beijing Computational Science Research Center, Beijing, China, Nov. 2019