Recent news
- Paper Release: An Overview of Low-Rank Structures in the Training and Adaptation of Large Models
- Grant Approval: Received a two-year ARO Award on Efficient and Robust Learning for Domain Shift and Data Scarcity at the Edge with JJ Park (Mar. 2025)
- Student News: Congrats to Can Yaras and Siyi Chen on receiving the Rackham Predoctoral Fellowship! (Mar. 2025)
- Invited Talks: Invited talks at MERL (Mar. 5th, 2025)
- Upcoming Tutorial: Giving a tutorial on “Harnessing Low Dimensionality in Diffusion Models: From Theory to Practice” at CPAL’25 at Stanford (with Prof. Liyue Shen and Prof. Yuxin Chen)
- Award: Received the UM Chinese Heritage & Scholarship Junior Faculty Award (Feb. 2025)
- Public Service: Invited to be an Area Chair (AC) of NeurIPS’25. (Feb. 2025)
- Paper Acceptance: Two papers have been accepted at CPAL’25
- Paper Release: Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling (Feb. 2025)
- Paper Acceptance: Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability has been accepted at ICLR’25. (Jan. 2025)
- Paper Acceptance: Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction has been accepted at IEEE Transactions on Computational Imaging (Jan. 2025)
- Invited Talk: ML@GT Seminar Series at Georgia Tech (Jan. 15th, 2025)
- Paper Release: FlowDAS: A Flow-Based Framework for Data Assimilation (Jan. 2025)
- Paper Release: Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data (Jan. 2025)
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