Linglingzhi Zhu

Ph.D. Student @ The Chinese University of Hong Kong

Email: llzzhu at se.cuhk.edu.hk or lzzhuling at gmail.com

[Google Scholar]

About Me

I am currently a fourth-year Ph.D. student under the supervision of Professor Anthony Man-Cho So at CUHK. I received a B.S. in mathematics in 2017 from Zhejiang University and M.S. in computational mathematics in 2020 under the supervision of Professor Chong Li from Zhejiang University. I was a research assistant under the mentorship of Professor Xiaoqi Yang during February 2019 to May 2019 at The Hong Kong Polytechnic University.

Research Interests

Perturbation Theory, Geometric Optimization, Nonsmooth Analysis, Inverse Problems, Statistical Inference

Publications

  1. Differentially Private Online Federated Learning with Correlated Noise [arXiv]
    Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson.
    preprint, 2024.

  2. Rotation Group Synchronization via Quotient Manifold [arXiv][slides]
    Linglingzhi Zhu, Chong Li, Anthony Man-Cho So.
    preprint, 2023.

  3. Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization [pdf]
    Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, José Blanchet, Jiajin Li.
    Advances in Neural Information Processing Systems 36 (NeurIPS 2023).

  4. Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis [arXiv]
    Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So.
    preprint, 2023.

  5. LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees [pdf]
    Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So.
    Advances in Neural Information Processing Systems 36 (NeurIPS 2023).

  6. Riemannian Linearized Proximal Algorithms for Nonnegative Inverse Eigenvalue Problem [pdf]
    (α-β) Sangho Kum, Chong Li, Jinhua Wang, Jen-Chih Yao, Linglingzhi Zhu.
    Numerical Algorithms (2023) 94:1819-1848.

  7. Linearized Proximal Algorithms with Adaptive Stepsizes for Convex Composite Optimization with Applications [pdf][slides]
    (α-β) Yaohua Hu, Chong Li, Jinhua Wang, Xiaoqi Yang, Linglingzhi Zhu.
    Applied Mathematics & Optimization (2023) 87:52.

  8. Nonsmooth Composite Nonconvex-Concave Minimax Optimization [pdf][slides]
    Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So.
    NeurIPS 2022 Workshop on Optimization for Machine Learning (OPT 2022), Oral.

  9. Orthogonal Group Synchronization with Incomplete Measurements: Error Bounds and Linear Convergence of the Generalized Power Method [arXiv][slides]
    Linglingzhi Zhu, Jinxin Wang, Anthony Man-Cho So.
    preprint, 2021.

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