News

publications by categories in reversed chronological order. generated by jekyll-scholar.

Oct 26, 2026 Our work on diffusion models for controllable lung nodule generation was accepted at SPIE Medical Imaging 2027 as an oral presentation! Congratulations to Chengkang!
Oct 26, 2026 Invited talk in the DSL group at Argonne National Laboratory on “Attention-to-MLP Interaction in Infinite-Depth Transformers.”
Oct 21, 2026 Invited to serve as an Area Chair for ICML 2027.
Sep 24, 2026 Our work on feature learning dynamics for infinite-depth neural networks was accepted at NeurIPS 2026. Congratulations to Zihan!
Sep 17, 2026 Invited to serve as an Area Chair for ICLR 2027.
Sep 01, 2026 Awarded an ALCF Director’s Discretionary allocation on Polaris at Argonne for our project, “Depth Scaling and Feature Learning Dynamics in Deep Transformers.” Grateful to the ALCF team.
May 13, 2026 Recognized as a Gold Reviewer for ICML 2026, with complimentary registration.
Feb 10, 2026 Appointed as a Visiting Research Member at IMSI at UChicago for Spring 2026. I will participate in IMSI’s long program on Theoretical Advances in Reinforcement Learning and Control.
Dec 15, 2025 Our research initiatives have been selected to receive the Graduate Research Assistant Program (GRAP) Award from DePaul CDM, supporting student research in scalable graph machine learning and efficient Transformer attention architectures.
Dec 01, 2025 Our project, “Understanding Neural Scaling Laws via Feature Learning Dynamics,” has received a URC Competitive Research Grant from DePaul University, running from January 2026 to June 2027. We are grateful for the support of foundational deep learning theory research.
Sep 26, 2025 Invited talk to the GIRG group led by Professor Jia (Kevin) Liu at Ohio State University on “Global Convergence in Neural ODEs: Impact of Activation Functions”.
Mar 20, 2025 CSC 594: Deep Generative Models is supported by Google Cloud Education Credits. Grateful for Google Cloud’s support.
Jan 22, 2025 Our paper, Global Convergence in Neural ODEs: Impact of Activation Functions, has been accepted to ICLR 2025 as an oral presentation (1.8% acceptance rate)!
Dec 21, 2024 Our research projects have been selected to receive the Graduate Research Assistant Program (GRAP) Award from DePaul CDM, supporting student research in scalable graph machine learning, efficient Transformer attention architectures, and feature learning theory and scaling laws.
Oct 18, 2024 Gave a talk on “Building Your Own Customized GPT Teaching Assistant for Free” at the AI in Teaching Symposium held by the DePaul AI Institute. The recording is available online.
Oct 10, 2024 Invited to give a talk at the Math Colloquium hosted by the Department of Mathematical Sciences at DePaul University, on “Learnability in Infinite-Depth Neural Networks: Overparameterization and the Role of Gaussian Processes.”
Sep 15, 2024 New course, CSC 594: Deep Generative Models, in Spring 2025.
Jul 01, 2024 Pleased to joint the School of Computing at DePaul University as an Assistant Professor.