Fast First-order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints. - Huikang Liu; Peng Wang 098; Anthony Man-Cho So (ICASSP, 2019)

Globally Convergent Accelerated Proximal Alternating Maximization Method for L1-Principal Component Analysis. - Peng Wang 098; Huikang Liu; Anthony Man-Cho So (ICASSP, 2019)

A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model. - Peng Wang 098; Zirui Zhou; Anthony Man-Cho So (ICML, 2020)

Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method. - Peng Wang 098; Huikang Liu; Zirui Zhou; Anthony Man-Cho So (ICML, 2021)

Exact Community Recovery over Signed Graphs. - Xiaolu Wang; Peng Wang 098; Anthony Man-Cho So (AISTATS, 2022)

Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering. - Peng Wang 098; Huikang Liu; Anthony Man-Cho So; Laura Balzano (ICML, 2022)

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. - Can Yaras; Peng Wang 098; Zhihui Zhu; Laura Balzano; Qing Qu 001 (NeurIPS, 2022)

Non-convex exact community recovery in stochastic block model. - Peng Wang 098; Zirui Zhou; Anthony Man-Cho So (Math. Program., 2022)

Projected Tensor Power Method for Hypergraph Community Recovery. - Jinxin Wang; Yuen-Man Pun; Xiaolu Wang; Peng Wang 098; Anthony Man-Cho So (ICML, 2023)

The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. - Can Yaras; Peng Wang 098; Wei Hu; Zhihui Zhu; Laura Balzano; Qing Qu 001 (CoRR, 2023)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. - Peng Wang 098; Xiao Li; Can Yaras; Zhihui Zhu; Laura Balzano; Wei Hu; Qing Qu 001 (CoRR, 2023)

Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for ( boldsymbol{ ell_1} ) -Norm Principal Component Analysis. - Peng Wang 098; Huikang Liu; Anthony Man-Cho So (SIAM J. Optim., 2023)

A Global Geometric Analysis of Maximal Coding Rate Reduction. - Peng Wang 098; Huikang Liu; Druv Pai; Yaodong Yu; Zhihui Zhu; Qing Qu 001; Yi Ma 001 (ICML, 2024)

Generalized Neural Collapse for a Large Number of Classes. - Jiachen Jiang; Jinxin Zhou; Peng Wang 098; Qing Qu 001; Dustin G. Mixon; Chong You; Zhihui Zhu (ICML, 2024)

Symmetric Matrix Completion with ReLU Sampling. - Huikang Liu; Peng Wang 098; Longxiu Huang; Qing Qu 001; Laura Balzano (ICML, 2024)

Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. - Can Yaras; Peng Wang 098; Laura Balzano; Qing Qu 001 (ICML, 2024)

The Emergence of Reproducibility and Consistency in Diffusion Models. - Huijie Zhang; Jinfan Zhou; Yifu Lu; Minzhe Guo; Peng Wang 098; Liyue Shen; Qing Qu 001 (ICML, 2024)

Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing. - Siyi Chen; Huijie Zhang; Minzhe Guo; Yifu Lu; Peng Wang 098; Qing Qu 001 (NeurIPS, 2024)

Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing. - Siyi Chen; Huijie Zhang; Minzhe Guo; Yifu Lu; Peng Wang 098; Qing Qu 001 (CoRR, 2024)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering. - Peng Wang 098; Huijie Zhang; Zekai Zhang; Siyi Chen; Yi Ma 001; Qing Qu 001 (CoRR, 2024)

Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning. - Can Yaras; Siyi Chen; Peng Wang 098; Qing Qu 001 (CPAL, 2025)

Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data. - Alec S. Xu; Can Yaras; Peng Wang 098; Qing Qu 001 (CoRR, 2025)

Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling. - Xiao Li; Zekai Zhang; Xiang Li; Siyi Chen; Zhihui Zhu; Peng Wang 098; Qing Qu 001 (CoRR, 2025)

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. - Laura Balzano; Tianjiao Ding; Benjamin D. Haeffele; Soo Min Kwon; Qing Qu 001; Peng Wang 098; Zhangyang Wang; Can Yaras (CoRR, 2025)

Understanding Generalization in Diffusion Models via Probability Flow Distance. - Huijie Zhang; Zijian Huang 015; Siyi Chen; Jinfan Zhou; Zekai Zhang; Peng Wang 098; Qing Qu 001 (CoRR, 2025)

Attention-Only Transformers via Unrolled Subspace Denoising. - Peng Wang 098; Yifu Lu; Yaodong Yu; Druv Pai; Qing Qu 001; Yi Ma 001 (CoRR, 2025)