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Chang He ( 何畅 ) Hi, welcome to my homepage! I received my PhD in Management at Shanghai University of Finance and Economics under the supervision of Professor Bo Jiang. Before that, I obtained my Bachelor's degree in Mathematics from East China Normal University in 2021. During 2025, I was a visiting student at University of Minnesota, working with Professor Shuzhong Zhang.
My research interests lie in continuous optimization, with applications in machine learning and operations research. Recently, I have mainly worked on zeroth-order (derivative-free) optimization and manifold optimization.
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(Photo taken @ Chicago)
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Publications(* denotes equal contribution, α–β denotes alphabetical order) |
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New Results on the Polyak Stepsize: Tight Convergence Analysis and Universal Function Classes
Chang He*, Wenzhi Gao*, Bo Jiang, Madeleine Udell, Shuzhong Zhang Accepted by SIAM Journal on Optimization [link] |
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On Approximation Algorithms for Commutative Quaternion Polynomial Optimization
Chang He, Bo Jiang, Hongye Wang, Xihua Zhu (α–β) Journal of Global Optimization, 2025 [link] |
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Beyond Nonconvexity: A Universal Trust-Region Method with New Analyses
Yuntian Jiang*, Chang He*, Chuwen Zhang*, Dongdong Ge, Bo Jiang, Yinyu Ye Journal of Scientific Computing, 2025 [link] |
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A Homogeneous Second-Order Descent Method for Nonconvex Optimization
Chuwen Zhang, Chang He, Yuntian Jiang, Chenyu Xue, Bo Jiang, Dongdong Ge, Yinyu Ye Mathematics of Operations Research, 2025 [link] |
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Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods
Chang He*, Yuntian Jiang*, Chuwen Zhang*, Dongdong Ge, Bo Jiang, Yinyu Ye Mathematical Programming, 2025 [link][slides] 2025 iSoGO Student Paper Award [link] |
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Quaternion Matrix Decomposition and its Theoretical Implications
Chang He, Bo Jiang, Xihua Zhu (α–β) Journal of Global Optimization, 2023 [link] |
Papers Under Revision/Review |
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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
Hongye Wang*, Zhaoye Pan*, Chang He*, Jiaxiang Li, Bo Jiang Revision under IEEE Transactions on Automatic Control [link] |
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On Relatively Smooth Optimization over Riemannian Manifolds
Chang He, Jiaxiang Li, Bo Jiang, Shiqian Ma, Shuzhong Zhang Revision under Mathematics of Operations Research [link] |
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History-Aware Adaptive High-Order Tensor Regularization
Chang He, Bo Jiang, Yuntian Jiang, Chuwen Zhang, Shuzhong Zhang (α–β) Submitted [link] |
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The Second-Order Tâtonnement: Decentralized Interior-Point Methods for Market Equilibrium
Chuwen Zhang, Chang He, Bo Jiang, Yinyu Ye Revision under Operations Research [link][slides] |
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Non-Stationary Bandit Convex Optimization: An Optimal Algorithm with Two-Point Feedback
Chang He, Bo Jiang, Shuzhong Zhang Submitted [link] |
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Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
Hongye Wang, Chang He, Bo Jiang Submitted [link] |
Technical Notes |
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On the Nature of Regularity Assumptions in Bilevel Optimization with Constrained Lower-level Problem
Xiaotian Jiang, Chang He, Mingyi Hong, Shuzhong Zhang Preprint [link] |
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Small Gradient Norm Regret for Online Convex Optimization
Wenzhi Gao, Chang He, Madeleine Udell (α–β) Preprint [link] |
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DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang, Dongdong Ge, Chang He, Bo Jiang, Yuntian Jiang, Yinyu Ye Preprint [link] |
Services |
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Website's source code. |