Postdoctoral Fellow
Education
- Ph.D. Operations Research (2024), The Chinese University of Hong Kong
- M.S. Computational Mathematics (2020), Zhejiang University
- B.S. Mathematics (2017), Zhejiang University
Research
Mathematical Optimization, Computational Data Analysis, Perturbation Theory, Nonsmooth Analysis, Inverse Problems, Statistical Inference
Teaching
ISyE 4600, Methods and Applications of Machine Learning
ISyE/OMSA 6740, Computational Data Analysis/Machine Learning
Representative Publications
- Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Jiajin Li, Linglingzhi Zhu*, Anthony Man-Cho So.
Mathematical Programming, Series A (2025) 214(1-2):591-641. - Locally Differentially Private Online Federated Learning With Correlated Noise
Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay, Mikael Johansson.
IEEE Transactions on Signal Processing (2025) 73:1518-1531. - Linearized Proximal Algorithms with Adaptive Stepsizes for Convex Composite Optimization with Applications
(α-β) Yaohua Hu, Chong Li, Jinhua Wang, Xiaoqi Yang, Linglingzhi Zhu.
Applied Mathematics & Optimization (2023) 87:52. - LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), pp. 80142-80164, 2023. - Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, José Blanchet, Jiajin Li.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023), pp. 54075-54110, 2023.