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Recent news
- Award: Received the Google Research Scholar Award in machine learning (Jun. 2025)
- New Paper Release on Foundations and Interpretability of Generative AI (May 2025):
- Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective
- Understanding Generalization in Diffusion Models via Probability Flow Distance
- Towards Understanding the Mechanisms of Classifier-Free Guidance
- The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning
- Group Member News: our lab members (1) Yifu Lu will be joining Princeton ECE as a PhD student, (2) Jinfan Zhou will be joining UChicago CS as a PhD student, (3) Pengyu Li will be joining Duke ECE as a PhD student, (4) Siyi Chen will be joining UMich ECE as a PhD student, (5) Dr. Peng Wang will be joining University of Macau as an assistant professor in Fall 2025. (May 2025)
- Grant Approval: Received a three-year ONR Award on “Toward Generalizable and Controllable Diffusion Models: Leveraging Low-Dim Structures for Safe and Interpretable Generative AI” (May 2025)
- Paper Acceptance: two papers have been accepted at ICML’25 (May 2025)
- Upcoming Tutorial: Presenting a full-day tutorial at ICCV’25 on “Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice”, with Dr. Sam Buchanan, Profs. Yi Ma, Liyue Shen, Atlas Wang, and Zhihui Zhu. (Expected: Oct. 2025)
- Upcoming Tutorial: Presenting a 2-hour tutorial at ICML’25 on “Harnessing Low Dimensionality in Diffusion Models: From Theory to Practice” with Prof. Liyue Shen and Prof. Yuxin Chen (Expected: Jul. 2025)
- SIAM News Article on understanding generalization of diffusion models (news, Apr. 2025)
- Paper Release: An Overview of Low-Rank Structures in the Training and Adaptation of Large Models (Mar. 2025)
- 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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