Linglingzhi Zhu

According to our database, Linglingzhi Zhu authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoreFlow: Low-Rank Matrix Generative Models.

Dongze Wu, Linglingzhi Zhu, Yao Xie

CoRR, April, 2026

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints.

Linglingzhi Zhu, Wentao Ding, Shangyuan Liu, Anthony Man-Cho So

CoRR, April, 2026

Dynamic Proximal Gradient Algorithms for Schatten-p Quasi-Norm Regularized Problems.

Weiping Shen, Linglingzhi Zhu, Yaohua Hu, Chong Li, Xiaoqi Yang

CoRR, March, 2026

Dual Quaternion SE(3) Synchronization with Recovery Guarantees.

Jianing Zhao, Linglingzhi Zhu, Anthony Man-Cho So

CoRR, February, 2026

2025

Worst-case generation via minimax optimization in Wasserstein space.

Xiuyuan Cheng, Yao Xie, Linglingzhi Zhu, Yunqin Zhu

CoRR, December, 2025

Nonsmooth nonconvex-nonconcave minimax optimization: Primal-dual balancing and iteration complexity analysis.

Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So

Math. Program., November, 2025

Locally Differentially Private Online Federated Learning With Correlated Noise.

Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay, Mikael Johansson

IEEE Trans. Signal Process., 2025

Single-Loop Variance-Reduced Stochastic Algorithm for Nonconvex-Concave Minimax Optimization.

Xia Jiang, Linglingzhi Zhu, Taoli Zheng, Anthony Man-Cho So

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces.

Linglingzhi Zhu, Yao Xie

CoRR, 2024

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems.

Xia Jiang, Linglingzhi Zhu, Anthony Man-Cho So, Shisheng Cui, Jian Sun

CoRR, 2024

Differentially Private Online Federated Learning with Correlated Noise.

Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem.

Sangho Kum, Chong Li, Jinhua Wang, Jen-Chih Yao, Linglingzhi Zhu

Numer. Algorithms, December, 2023

Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization.

Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees.

Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Nonsmooth Composite Nonconvex-Concave Minimax Optimization.

Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So

CoRR, 2022