刘慧康，上海交通大学安泰经济与管理学院副教授。感兴趣的方向是连续优化的理论分析和算法设计，以及其在机器学习、运营管理以及信号处理等领域的应用。相关研究成果都发表在ICML、NeurIPS、ICLR等机器学习顶会上，以及Math. Prog.、SIAM J.on Opt.、Manag. Sci.等优化与管理学顶级期刊上。

教育经历：

2014.08 至 2018.10，香港中文大学，系统工程与工程管理系，博士

2010.08 至 2014.07，中国科学技术大学，少年班学院（数学方向），学士

工作经历：

2024.05 至今，上海交通大学，安泰经济与管理学院，副教授

2021.09 至 2024.05，上海财经大学，信息管理与工程学院，助理教授

2020.03 至 2021.08，伦敦帝国理工，商学院，博士后

2018.11 至 2020.03，香港中文大学，工程学院，博士后

部分期刊论文：

1. Josh D’Aeth, Shubhechyya Ghosal, Fiona Grimm, David Haw, Esma Koca, Krystal Lau, Huikang Liu, Stefano Moret, Dheeya Rizmie, Peter Smith, Giovanni Forchini, Marisa Miraldo, Wolfram Wiesemann. Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic. Management Science, 2023.

2. Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group. Applied and Computational Harmonic Analysis, 2023.

3. Peng Wang, Huikang Liu, Anthony Man-Cho So. Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for ℓ1-Norm Principal Component Analysis. SIAM Journal on Optimization, 2023.

4. Jiao1jiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling. Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. IEEE Transactions on Signal Processing (TSP), 2022.

5. Huikang Liu, Anthony Man-Cho So, Weijie Wu. Quadratic Optimization with Orthogonality Constraint: Explicit Lojasiewicz Exponent and Linear Convergence of Retraction-Based Line-Search and Stochastic Variance-Reduced Gradient Methods. Mathematical Programming, Series A, 2019.

6. Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization. SIAM Journal on Optimization, 2017.

部分会议论文：

1. Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano. Symmetric Matrix Completion with ReLU Sampling. ICML, 2024.

2. Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma. A Global Geometric Analysis of Maximal Coding Rate Reduction. ICML, 2024.

3. Huikang Liu, Xiao Li, Anthony Man-Cho So. ReSync: Riemannian Subgradient-based Robust Rotation Synchronization. NeurIPS, 2023.

4. Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet. A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. ICLR, 2023.

5. Peng Wang, Huikang Liu, Anthony Man-Cho So, Laura Balzano. Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering. ICML, 2022.

6. Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So. Near-Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Gradient Method. ICML, 2021.

7. Huikang Liu, Weijie Wu, Anthony Man-Cho So. Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods. ICML, 2016.

科研项目：

1.国家自然科学基金委员会, 青年科学基金项目,12301403, 基于分布鲁棒优化的差分隐私技术 , 30万元, 在研, 主持

2.中国科学协会，第九届青年人才托举工程，2023QNRC001，30万元, 在研, 主持

3.国家自然科学基金委员会, 重大项目, 72192832, 制造循环工业系统(MCIS)供需风险识别与管理机制设计, 222万元, 在研, 参与