News

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

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 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 Pleased to share that I’v been appointed as a Visiting Research Member at the IMSI at the UChicago for Spring 2026. I will participate in IMSI’s long program on Theoretical Advances in Reinforcement Learning and Control.
Dec 15, 2025 Happy to share that our research initiatives have been selected to receive the Graduate Research Assistant Program (GRAP) Award from DePaul CDM! The awards support student research in the following areas:
  • Scalable graph machine learning
  • 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!
Mar 20, 2025 Our new course, 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 ICLR2025 as an oral presentation (1.8% acceptance rate)!
Dec 21, 2024 Excited to share that our research projects have been selected to receive the Graduate Research Assistant Program (GRAP) Award from DePaul CDM! The awards support student research in the following areas:
  • Scalable graph machine learning
  • Efficient Transformer attention architectures
  • 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 DePaul AI Institute! You can check out the recording here.
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 Pleased to announce that my new course, Deep Generative Models, has been officially approved. It will debut as CSC 594: Topics in Artificial Intelligence in Spring 2025.
Jul 01, 2024 I am pleased to announce that I have joined the School of Computing at DePaul University as an Assistant Professor.