刘慧康
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姓名: |
刘慧康 |
| 最后学位: | 博士 |
| 职称: | 助理教授 |
| 公共职务: |
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| 导师岗位: |
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| 办公室: | 916 （综合大楼） |
| 电话: |
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| Email: | liuhuikang@sufe.edu.cn |
个人简介
刘慧康，上海财经大学信息管理与工程学院助理教授。2018年于香港中文大学系统工程与工程管理系获得博士学位。之后先后在香港中文大学工学院以及伦敦帝国理工商学院从事博士后工作。2021年9月加入上海财经大学担任助理教授。
主要研究兴趣是连续优化及其在机器学习、运营管理以及信号处理中的应用。代表性研究成果发表在机器学习顶级会议ICML，ICPR以及优化领域顶级期刊Mathematical Programming，SIAM on Optimization。并有多篇工作文章准备投向Management Science，Operation Research等。
教育背景：
2014-08 至 2018-09, 香港中文大学，系统工程和工程管理系, 博士，导师: Anthony Man-Cho So
2010-08 至 2014-07, 中国科学技术大学，数学系，本科
工作背景：
2021-09至今，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，导师：Wolfram Wiesemann
2018-10至 2020-03, 香港中文大学，工程学院，博士后，导师: Wing-Kin Ma & Anthony Man-Cho So
发表论文
代表文章：
1. Huikang Liu, Xiaolu Wang, Anthony Man-Cho So. Adaptive Coordinate Sampling for Stochastic Primal-Dual Methods. International Transactions in Operational Research (ITOR), 2021.
2. Peng Wang, Huikang Liu（通讯作者）, Zirui Zhou, Anthony Man-Cho So. Near-Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Gradient Method. The 38rd International Conference on Machine Learning (ICML 2021), 2021.
3. Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling. A Penalty Alternating Direction Method of Multipliers for Convex Composite
Optimization over Decentralized Networks. IEEE Transactions on Signal Processing (TSP), 2021.
4. Huikang Liu, Anthony Man-Cho So, Weijie Wu. Quadratic Optimization with Orthogonality Constraint: Explicit ?ojasiewicz Exponent and Linear Convergence of Retraction-Based Line-Search and Stochastic Variance-Reduced Gradient Methods. Mathematical Programming, Series A, 2019.
5. 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.
6. Huikang Liu, Weijie Wu, Anthony Man-Cho So. Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods. The 33rd International Conference on Machine Learning (ICML 2016), 2016.
部分工作文章：
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. Under major revision in Management Science, 2021.
2. Huikang Liu, Man-Chung Yue, Wolfram Wiesemann. Robust Factored Markov Decision Processes. Prepared, 2021.
3. Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group. Prepared, 2021.
4. Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling. Stochastic Quasi-Newton Methods with Variance Reduction for Decentralized Learning: Part I & Part II. Prepared, 2021.
荣誉奖励