∗ Equal contribution. Authors marked α–β are listed in alphabetical order.
New Results on the Polyak Stepsize: Tight Convergence Analysis and Universal Function Classes Chang He∗, Wenzhi Gao∗, Bo Jiang, Madeleine Udell, and Shuzhong Zhang SIAM Journal on Optimization, accepted, 2026
On Approximation Algorithms for Commutative Quaternion Polynomial Optimization Chang He, Bo Jiang, Hongye Wang, and Xihua Zhu (α–β) Journal of Global Optimization, 2025
Beyond Nonconvexity: A Universal Trust-Region Method with New Analyses Yuntian Jiang∗, Chang He∗, Chuwen Zhang∗, Dongdong Ge, Bo Jiang, and Yinyu Ye Journal of Scientific Computing, 2025
A Homogeneous Second-Order Descent Method for Nonconvex Optimization Chuwen Zhang, Chang He, Yuntian Jiang, Chenyu Xue, Bo Jiang, Dongdong Ge, and Yinyu Ye Mathematics of Operations Research, 2025
Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods Chang He∗, Yuntian Jiang∗, Chuwen Zhang∗, Dongdong Ge, Bo Jiang, and Yinyu Ye Mathematical Programming, 2025. Slides 2025 iSoGO Student Paper Award.
Riemannian Accelerated Zeroth-Order Algorithm: Improved Robustness and Lower Query Complexity Chang He, Zhaoye Pan, Xiao Wang, and Bo Jiang International Conference on Machine Learning (ICML), 2024
Quaternion Matrix Decomposition and its Theoretical Implications Chang He, Bo Jiang, and Xihua Zhu (α–β) Journal of Global Optimization, 2023
Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds Hongye Wang, Chang He, and Bo Jiang Under revision at IEEE Transactions on Pattern Analysis and Machine Intelligence
Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Hongye Wang∗, Zhaoye Pan∗, Chang He∗, Jiaxiang Li, and Bo Jiang Under revision at IEEE Transactions on Automatic Control
On Relatively Smooth Optimization over Riemannian Manifolds Chang He, Jiaxiang Li, Bo Jiang, Shiqian Ma, and Shuzhong Zhang Under revision at Mathematics of Operations Research
The Second-Order Tâtonnement: Decentralized Interior-Point Methods for Market Equilibrium Chuwen Zhang, Chang He, Bo Jiang, and Yinyu Ye Under revision at Operations Research. Slides
On the Nature of Regularity Assumptions in Bilevel Optimization with Constrained Lower-level Problem Xiaotian Jiang, Chang He, Mingyi Hong, and Shuzhong Zhang Preprint, 2026
Small Gradient Norm Regret for Online Convex Optimization Wenzhi Gao, Chang He, and Madeleine Udell (α–β) Preprint, 2026
History-Aware Adaptive High-Order Tensor Regularization Chang He, Bo Jiang, Yuntian Jiang, Chuwen Zhang, and Shuzhong Zhang (α–β) Preprint, 2025
Non-Stationary Bandit Convex Optimization: An Optimal Algorithm with Two-Point Feedback Chang He, Bo Jiang, and Shuzhong Zhang Preprint, 2025
DRSOM: A Dimension Reduced Second-Order Method Chuwen Zhang, Dongdong Ge, Chang He, Bo Jiang, Yuntian Jiang, and Yinyu Ye Preprint, 2022