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Career

· Postdoctoral Researcher, Argonne National Laboratory2023–2023
· Assistant Professor, Chinese University of Hong Kong, Shenzhen2023–
· PhD in Computer Science, ETH Zurich2019–2023
· Master's Degree in Industrial Engineering, University of Illinois Urbana-Champaign2017–2020
· Bachelor's Degree in Applied Mathematics and Economics, University of California, Los Angeles (UCLA)2013–2017

Publications (10)

Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Neural Information Processing Systems · 2020
122
cited
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
arXiv.org · 2020
86
cited
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
International Conference on Artificial Intelligence and Statistics · 2021
74
cited
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
Conference on Uncertainty in Artificial Intelligence · 2021
66
cited
A Catalyst Framework for Minimax Optimization
Neural Information Processing Systems · 2020
65
cited
Parameter-Agnostic Optimization under Relaxed Smoothness
International Conference on Artificial Intelligence and Statistics · 2023
32
cited
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
Neural Information Processing Systems · 2022
25
cited
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
Neural Information Processing Systems · 2023
25
cited
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
International Conference on Learning Representations · 2022
12
cited
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Neural Information Processing Systems · 2023
3
cited
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Junchi Yang | Researcher Profile | Sotabase | Sotabase