Hu, Jiang

4 publications

NeurIPS 2025 Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity Without Smoothing Kangkang Deng, Jiachen Jin, Jiang Hu, Hongxia Wang

AAAI 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization Kangkang Deng, Jiang Hu

JMLR 2024 A Projected Semismooth Newton Method for a Class of Nonconvex Composite Programs with Strong Prox-Regularity Jiang Hu, Kangkang Deng, Jiayuan Wu, Quanzheng Li

NeurIPS 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds with Heterogeneous Data Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson