Liu, Huikang

8 publications

ICML 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma

ICML 2024 Symmetric Matrix Completion with ReLU Sampling Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano

ICLR 2023 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet

NeurIPS 2023 ReSync: Riemannian Subgradient-Based Robust Rotation Synchronization Huikang Liu, Xiao Li, Anthony Man-Cho So

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

NeurIPSW 2022 Linear Convergence Analysis of Neural Collapse with Unconstrained Features Peng Wang, Huikang Liu, Can Yaras, Laura Balzano, Qing Qu

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

ICML 2016 Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods Huikang Liu, Weijie Wu, Anthony Man-Cho So