Linglingzhi Zhu

16 papers A* 2Misc 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual Quaternion SE(3) Synchronization with Recovery Guarantees.
CoRR
Jianing Zhao, Linglingzhi Zhu, Anthony Man-Cho So
2026 J jnl
Dynamic Proximal Gradient Algorithms for Schatten-p Quasi-Norm Regularized Problems.
CoRR
Weiping Shen, Linglingzhi Zhu, Yaohua Hu, Chong Li, Xiaoqi Yang
2025 J jnl
Locally Differentially Private Online Federated Learning With Correlated Noise.
IEEE Trans. Signal Process.
Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay, Mikael Johansson
2025 J jnl
Nonsmooth nonconvex-nonconcave minimax optimization: Primal-dual balancing and iteration complexity analysis.
Math. Program.
Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So
2025 Misc conf
Single-Loop Variance-Reduced Stochastic Algorithm for Nonconvex-Concave Minimax Optimization.
ICASSP
Xia Jiang, Linglingzhi Zhu, Taoli Zheng, Anthony Man-Cho So
2025 J jnl
Worst-case generation via minimax optimization in Wasserstein space.
CoRR
Xiuyuan Cheng, Yao Xie, Linglingzhi Zhu, Yunqin Zhu
2024 — conf
Differentially Private Online Federated Learning with Correlated Noise.
CDC
Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson
2024 J jnl
Differentially Private Online Federated Learning with Correlated Noise.
CoRR
Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson
2024 J jnl
Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces.
CoRR
Linglingzhi Zhu, Yao Xie
2024 J jnl
Locally Differentially Private Online Federated Learning With Correlated Noise.
CoRR
Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay, Mikael Johansson
2024 J jnl
Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems.
CoRR
Xia Jiang, Linglingzhi Zhu, Anthony Man-Cho So, Shisheng Cui, Jian Sun
2023 A* conf
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees.
NeurIPS
Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So
2023 J jnl
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees.
CoRR
Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So
2023 J jnl
Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem.
Numer. Algorithms
Sangho Kum, Chong Li, Jinhua Wang, Jen-Chih Yao, Linglingzhi Zhu
2023 A* conf
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization.
NeurIPS
Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li
2022 J jnl
Nonsmooth Composite Nonconvex-Concave Minimax Optimization.
CoRR
Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So