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I am a professor in the School of Computer Science and Engineering and School of Mathematical Sciences at the University of Electronic Science and Technology of China (UESTC). Currently, I mainly work on diffusion models and their applications for solving inverse problems, as well as the theoretical aspects of large language models. Previously, I was a postdoc with Prof. Jonathan Scarlett at the Department of Computer Science, National University of Singapore (NUS). I received my Ph.D. degree from the Department of Mathematics at NUS in 2017, under the supervision of Prof. Weizhu Bao and Prof. Vincent Yan Fu Tan. I obtained my Bachelor's degree from the Department of Mathematical Sciences of Tsinghua University in 2013.

Always looking for self-motivated Ph.D./master students with strong mathematical/computer-science background. 

Journal reviewing note: Please contact me personally first before sending a review invitation. I receive many unsolicited requests that are automatically marked as spam and deleted without being read. 

News

(May 2026) Paper Image restoration via diffusion models with dynamic resolution accepted to ICML 2026

(Feb. 2026) Papers Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers [Paper] [Project Page] and Outlier-Robust Diffusion Solvers for Inverse Problems accepted to CVPR 2026 

(Jan. 2026) Paper Operator Splitting Based Diffusion Samplers and Improved Convergence Analysis uploaded to arXiv [Paper]

(Jan. 2026) Six papers accepted to ICASSP 2026 [Papers]

(Nov. 2025) Paper Diffusion Model Based Signal Recovery Under 1-Bit Quantization accepted to AAAI 2026 [Paper] [Code]

(Sep. 2025) Paper Learnable Sampler Distillation for Discrete Diffusion Models accepted to NeurIPS 2025 (Spotlight Presentation) [Paper] [Code]

(May 2025) Papers Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models [Paper] [Code] and Learning Single Index Models with Diffusion Priors accepted to ICML 2025 [Paper]

(Jan. 2025) Paper AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures accepted to Transactions on Machine Learning Research [Paper]

(Jan. 2025) Paper Solving Quadratic Systems With Full-Rank Matrices Using Sparse or Generative Priors accepted to IEEE Transactions on Signal Processing [Paper]

(Sep. 2024) Paper Generalized Eigenvalue Problems with Generative Priors accepted to NeurIPS 2024 [Paper]

(Feb. 2024) Paper Accelerating Diffusion Sampling with Optimized Time Steps accepted to CVPR 2024 [Paper] [Code]

(Jan. 2024) I have joined the School of Computer Science and Engineering, University of Electronic Science and Technology of China

Everything should be made as simple as possible, but not simpler. Albert Einstein