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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. 

Professional Service

Reviewer for journals such as IEEE JSAIT, TIT, TPAMI, TSP, and conferences such as ICLR, ICML, NeurIPS, CVPR.

In general, I only review for journals or conferences to which I have submitted papers, and I only review papers that are related to diffusion models and imaging inverse problems. I won't review papers for open-access journals with high charges. Reviewer invitations directed to accounts associated with my NUS email cannot be viewed, as the email address is now outdated.

News

(Jan. 2026) Six papers accepted to ICASSP 2026

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

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

(May 2025) Papers Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models and Learning Single Index Models with Diffusion Priors [Paper1] [Paper2]

(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 

(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