Peng Wang

Orcid: 0000-0002-6799-0745

Affiliations:
  • Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong


According to our database1, Peng Wang authored at least 10 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis.
SIAM J. Optim., 2023

Projected Tensor Power Method for Hypergraph Community Recovery.
Proceedings of the International Conference on Machine Learning, 2023

2022
Non-convex exact community recovery in stochastic block model.
Math. Program., 2022

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Exact Community Recovery over Signed Graphs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Globally Convergent Accelerated Proximal Alternating Maximization Method for L1-Principal Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fast First-order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2019


  Loading...