Who Am I?
Hi, I am Han Wang, a fourth-year PhD student in the Department of Electrical Engineering at Columbia University, advised by Prof.James Anderson. I am also working closely with Prof. Aritra Mitra. My research topics are federated learning, control, reinforcement learning, large-scale optimization, randomized numerical linear algebra.
I did my master in the Department of Applied Maths and Computational Science at University of Pennsylvania, where I was fortunately advised by Prof. Victor Preciado and Prof. Nikolai Matni from the Department of Electrical and Systems Engineering.
You can find my CV and google scholar here.
email: hw2786@columbia.edu
Research Interests
My research interests lie in the intersection of Optimization, Learning and Control.
Some of the topics I am interested in:
Federated Learning/Distributed Optimization
Federated Learning into Control &Reinforcement Learning
design randomized algorithms to solve large-scale optimization problems
use robust control to design robust algorithms for non-convex optimization
Publications
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, and James Anderson. "Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity." arXiv preprint arXiv:2302.02212 (2023). [pdf]
Han Wang, Siddartha Marella, and James Anderson. "FedSysID: A Federated Approach to Sample-Efficient System Identification. " Accepted to 5th Annual Learning for Dynamics & Control Conference, University of Pennsylvania, PA (will appear in PMLR). [pdf]
Han Wang, Siddartha Marella, James Anderson."FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation". arXiv: 2203.15104. [pdf]
Han Wang, James Anderson. "Learning Linear Models Using Distributed Iterative Hessian Sketching". Accepted to 4th Annual Learning for Dynamics & Control Conference, Stanford, CA. [pdf]
Han Wang, James Anderson. "Large-Scale System Identification Using a Randomized RSVD". Accepted to 2022 American Control Conference. [pdf]
Han Wang, Mahyar Fazlyab, Shaoru Chen and Victor Preciado. "Robust Convergence Analysis of Three-Operator Splitting". Allerton Conference on Communication, Control, and Computing, Urbana, IL, 2019. [pdf] [slides]
Han Wang, Shaoru Chen, Victor Preciado, Nikolai Matni. "Robust Modern Predictive Control via System Level Synthesis". In 2020 59th IEEE Conference on Decision and Control (CDC), pp. 2152-2159. IEEE, 2020. [pdf] [slides]
Jiang Chen, Han Wang, Xin Zhang, Sihan Chen and Zongyu Bao. "Analysis of Carbon Emissions from Transportation in Beijing", International Journal of Services Technology and Management, 22:271-286,01 2016.
Jiang Chen, Zongyu Bao, Xinyue Liu, Yanan Liang, and Han Wang, “Analysis of Low-Carbon Transport in Beijing”, in 2015 International Conference on Logistics, Informatics and Service Sciences (LISS), 2015.
Honors and Awards
Wei Family Scholarship (Departmental Fellowships for outstanding PhD students)
National Scholarship
First Prize in the Chinese Mathematical Contest
President Scholarship
Chinese Telecom Scholarship
Outstanding Undergraduate Thesis
Meritorious Winner of The Interdisciplinary Contest in Modeling
Peer reviewer
International Conference on Machine Learning (ICML)
Conference on Neural Information Processing Systems (Neurips)
IEEE Conference on Decision and Control (CDC)
IEEE Control Systems Letters (L-CSS)