Optimized Sparse Projections for Compressive Sensing. - Tao Hong 006; Xiao Li 009; Zhihui Zhu; Qiuwei Li (CoRR, 2017)

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. - Zhihui Zhu; Xiao Li 009; Kai Liu 018; Qiuwei Li (NeurIPS, 2018)

Convergence Analysis of Alternating Nonconvex Projections. - Zhihui Zhu; Xiao Li 009 (CoRR, 2018)

Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. - Qing Qu 001; Xiao Li 009; Zhihui Zhu (ACSSC, 2019)

A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. - Qing Qu 001; Xiao Li 009; Zhihui Zhu (NeurIPS, 2019)

Incremental Methods for Weakly Convex Optimization. - Xiao Li 009; Zhihui Zhu; Anthony Man-Cho So; Jason D. Lee (CoRR, 2019)

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (CoRR, 2019)

Analysis of the Optimization Landscapes for Overcomplete Representation Learning. - Qing Qu 001; Yuexiang Zhai; Xiao Li 009; Yuqian Zhang; Zhihui Zhu (CoRR, 2019)

Optimized structured sparse sensing matrices for compressive sensing. - Tao Hong 006; Xiao Li 009; Zhihui Zhu; Qiuwei Li (Signal Process., 2019)

Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. - Qing Qu 001; Yuexiang Zhai; Xiao Li 009; Yuqian Zhang; Zhihui Zhu (ICLR, 2020)

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. - Qing Qu 001; Zhihui Zhu; Xiao Li 009; Manolis C. Tsakiris; John Wright 001; René Vidal (CoRR, 2020)

Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent. - Qing Qu 001; Xiao Li 009; Zhihui Zhu (SIAM J. Imaging Sci., 2020)

Nonconvex Robust Low-Rank Matrix Recovery. - Xiao Li 009; Zhihui Zhu; Anthony Man-Cho So; René Vidal (SIAM J. Optim., 2020)

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (SIAM J. Optim., 2021)

Randomized Coordinate Subgradient Method for Nonsmooth Optimization. - Lei Zhao 016; Ding Chen; Daoli Zhu; Xiao Li 009 (CoRR, 2022)

ReSync: Riemannian Subgradient-based Robust Rotation Synchronization. - Huikang Liu; Xiao Li 009; Anthony Man-Cho So (NeurIPS, 2023)

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity. - Xiao Li 009; Lei Zhao 016; Daoli Zhu; Anthony Man-Cho So (CoRR, 2023)

Distributed Random Reshuffling Over Networks. - Kun Huang; Xiao Li 009; Andre Milzarek; Shi Pu 004; Junwen Qiu (IEEE Trans. Signal Process., 2023)

A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. - Xiao Li 009; Zhihui Zhu; Qiuwei Li; Kai Liu 018 (IEEE Trans. Knowl. Data Eng., 2023)

Distributed Stochastic Optimization Under a General Variance Condition. - Kun Huang; Xiao Li 009; Shi Pu 004 (IEEE Trans. Autom. Control., 2024)