Huikang Liu

7 papers · 2016–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

ICML (5) ICLR (1) NeurIPS (1)

Top co-authors

Anthony Man-Cho So (5) Peng Wang (4) Laura Balzano (2) Qing Qu (2) Yaodong Yu (1) Weijie Wu (1) Jianheng Tang (1) Jia Li (1) Zhihui Zhu (1) Longxiu Huang (1)

Research topics

Mathematics & Optimization (7) Machine Learning (6) Optimization (6) Mathematics (5) Optimization & Theory (4) Core Methods (3) Data Science & Analytics (1) Deep Learning (1) Applications (1) Learning Types (1)

Keywords

non-convex optimization (2) spectral method (2) convex optimization (1) optimal transport (1) convergence analysis (1) community detection (1) robust estimation (1) graph alignment (1) manifold optimization (1) stochastic block model (1) linear convergence (1) quadratic optimization (1) convergence guarantee (1) matrix completion (1) graph clustering (1) gromov-wasserstein distance (1) single-loop algorithm (1) community recovery (1) critical point (1) subspace clustering (1)

Papers

A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 Symmetric Matrix Completion with ReLU Sampling ICML 2024 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023 ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NeurIPS 2023 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022 Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method ICML 2021 Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods ICML 2016