Xiao Li

Orcid: 0000-0001-5577-6963

Affiliations:
  • Chinese University of Hong Kong, School of Data Science, Shenzhen, China
  • Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong (PhD 2020)


According to our database1, Xiao Li authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2023
2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Distributed Stochastic Optimization Under a General Variance Condition.
IEEE Trans. Autom. Control., September, 2024

2023
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., March, 2023

Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity.
CoRR, 2023

ReSync: Riemannian Subgradient-based Robust Rotation Synchronization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods.
SIAM J. Optim., 2021

2020
Nonconvex Robust Low-Rank Matrix Recovery.
SIAM J. Optim., 2020

Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent.
SIAM J. Imaging Sci., 2020

Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications.
CoRR, 2020

Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Optimized structured sparse sensing matrices for compressive sensing.
Signal Process., 2019

Analysis of the Optimization Landscapes for Overcomplete Representation Learning.
CoRR, 2019

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods.
CoRR, 2019

Incremental Methods for Weakly Convex Optimization.
CoRR, 2019

A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Convergence Analysis of Alternating Nonconvex Projections.
CoRR, 2018

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Optimized Sparse Projections for Compressive Sensing.
CoRR, 2017


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