Yankun Huang （黄炎锟）
I am a Ph.D. student at Tippie College of Business, University of Iowa. My advisor is Prof. Qihang Lin.
Research interests:
Continuous Optimization, Bilevel Optimization, First-order Methods, Error Bound Conditions
Personalized Federated Learning, Fairness in Machine Learning
Statistical Learning Theory, Generalization Bound
I am on the 2023-2024 job market.
Contact:
Department of Business Analytics, Tippie College of Business, University of Iowa
S361, 21 E Market St, Iowa City, IA, 52242, USA
Education:
Ph.D. in Business Analytics, Tippie College of Business, University of Iowa, Iowa City, IA, USA, 2019.08 – 2024 (expected)
Thesis title: Constrained Optimization Techniques for Machine Learning: Personalization and Single-Loop Implementation
M.A. in Statistics, Graduate School of Arts and Sciences, Columbia University, New York City, NY, USA, 2017.08 – 2019.02
B.S. in Applied Mathematics, School of Mathematics and System Science, Beihang University, Beijing, China, 2013.08 – 2017.06
Publications:
Yankun Huang, Qihang Lin (In Press). Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization. In Proceedings of Advances in Neural Information Processing Systems (NeurIPS) 2023.
Working Papers & In-Progress:
Yankun Huang, Qihang Lin, Nick Street, Stephen Baek (Preprint). Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization.
Brianna Mueller, Nick Street, Qihang Lin, Yankun Huang, and Joyce Yang (In Progress). Peer-Adaptive Ensemble Learning: An Asynchronous and Decentralized Approach for Privacy-Preserving Learning.
Presentations:
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization.
INFORMS Annual Meeting, Indianapolis, IN, USA, 2022.10. (Presenter)
INFORMS Annual Meeting, Phoenix, AZ, USA, 2023.10. (Presenter)
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization.
SIAM Conference on Optimization, Seattle, WA, USA, 2023.06.
INFORMS Annual Meeting, Phoenix, AZ, USA, 2023.10. (Presenter)
Honors and Awards:
University of Iowa Graduate College Recruitment Fellowship, 2019.08 – 2024.05
Merit Student Scholarship, Beihang University, 2015
Review Activities:
Neural Information Processing Systems (NeurIPS) 2022, 2023
International Conference on Machine Learning (ICML) 2023, 2024
Teaching Interest:
Business Analytics
Operations Research
Statistics and Machine Learning
Teaching Experience at University of Iowa:
BAIS: 3800 Optimization and Simulation Modeling - Spring 2022
BAIS: 3000 Operations Management - Fall 2021
BAIS: 3005 Information Systems - Fall 2021
BAIS: 2800 Foundations of Business Analytics - Fall 2020
MSCI: 3800 Optimization and Simulation Modeling - Spring 2020
MSCI: 6060 Data Programming in R - Fall 2019
Skills:
Programming: Python, MATLAB, R, SQL, C, MS Office
Computing: High Performance Computing (HPC)
Machine Learning Frameworks: Pytorch, TensorFlow
Languages: Chinese (Native), English (Fluent), Japanese (Fluent)