News

Recent news

Public Service: Invited to be an Action Editor (AE) of TMLR and Area Chair (AC) of ICML’25 (Nov. 2024)
Workshop Paper Acceptance: 4 papers have been accepted to Workshops at NeurIPS’24 (Oct. 2024)
- Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models (Safe Generative AI)
- Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering (Mathematics of Modern Machine Learning)
- Understanding Diffusion-based Representation Learning via Low-Dimensional Modeling (Mathematics of Modern Machine Learning)
- Unfolding Videos Dynamics via Taylor Expansion (Self-Supervised Learning – Theory and Practice)
Paper Acceptance: 4 papers have been accepted to NeurIPS’24 (Sept. 2024)
- Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
- Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
- Image Reconstruction Via Autoencoding Sequential Deep Image Prior
- BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
Paper Release on diffusion models (Sept. 2024)
- Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
- Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
Student Awards: Can Yaras has won one of the best poster awards at MMLS’24 on “Deep LoRA: Simple & Efficient Adaptation of Foundation Models to Data-Deficient Tasks”; See the news (Sept. 2024)
Outreach: Taught a high-school summer camp “AI Magic” (Aug. 12-16th, 2024)
Public Service: Co-organizer of Computational Imaging Workshop at IMSI, UChicago (Aug. 5-9th, 2024)
Grant Approval: Received an NSF Medium grant on Principled Approaches to Deep Learning for Low-dimensional Structures, joint with UC Berkeley and Ohio State. (Aug. 2024)
Public Service: Invited to be an Area Chair (AC) of ICLR’25. (Aug. 2024)
Invited talk at Advances in Deep Learning Theory of SIAM Annual Meeting (Jul. 2024)
Paper Acceptance: Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation has been accepted at APL Machine Learning (Jul. 2024)
Group Member Update: Our group member Dr. Dogyoon Song is joining UC Davis Stats as an assistant professor starting Jul. 2024.
Group Member Update: Our group member Dr. Yutong Wang is joining Illinois Tech CS as an assistant professor starting in Aug. 2024.
Tutorial: Gave a one-day tutorial on “Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice” at CVPR 2024. (Jun. 2024)
Public Service: Invited to be an Area Chair (AC) of NeurIPS’24. (Jun. 2024)
Paper Acceptance: 7 papers have been accepted to ICML’24, see the news (May 2024)
- The Emergence of Reproducibility and Consistency in Diffusion Models
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (Oral Presentation, top 1.5%)
- Neural Collapse in Multi-label Learning with Pick-all-label Loss
- A Global Geometric Analysis of Maximal Coding Rate Reduction
- Matrix Completion with ReLU Sampling
- Generalized Neural Collapse for a Large Number of Classes
- Optimal Eye Surgeon: Finding Image Priors Through Sparse Generators at Initialization
Paper Acceptance: Understanding and Improving Transfer Learning of Deep Models via Neural Collapse has been accepted to Transactions on Machine Learning Research (TMLR). (May 2024)
Service: Co-organized of the Midwest Machine Learning Symposium 2024 (MMLS’24) （May 2024)
Tutorial: “Understanding Deep Representation Learning via Neural Collapse” at ICASSP’24 with Prof. Laura Balzano, Dr. Peng Wang, and Prof. Zhihui Zhu, Slides: Lecture-1, Lecture-2 (Apr. 2024)
Paper Release: Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation is submitted (Mar. 2024)
Paper Release: Decoupled Data Consistency with Diffusion Purification for Image Restoration is submitted (Mar. 2024)
Invited Talk at UC Davis Math Seminar (Mar. 2024)
Contributed Talk at Information Theory and Applications (ITA) Workshop (Feb. 2024)
Paper Acceptance: our paper Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures has been accepted by CVPR, Project Website (Feb. 2024)
Paper Release: Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction is submitted (Feb. 2024)
Grant Approval: Received a gift grant from KLA for continued support. (Jan. 2024)
Paper Acceptance: our paper Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics has been accepted by AISTATS’24 (Jan. 2024)
Paper Acceptance: our paper Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency has been accepted by ICLR’24 as a spotlight (Jan. 2024)
Conference on Parsimony and Learning (CPAL) (Jan. 3rd-6th 2024)
Invited talk at IMS Young Mathematical Scientist Forum – Applied Math, National University of Singapore (NUS) (Jan. 8th – 11th, 2024)

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