Towards Memory-Friendly Deterministic Incremental Gradient Method. - Jiahao Xie 001; Hui Qian 001; Zebang Shen; Chao Zhang 029 (AISTATS, 2018)

Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Chao Mi; Hui Qian 001 (AISTATS, 2019)

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. - Jiahao Xie 001; Zebang Shen; Chao Zhang 029; Hui Qian 001; Boyu Wang (CoRR, 2019)

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. - Jiahao Xie 001; Zebang Shen; Chao Zhang 029; Boyu Wang; Hui Qian 001 (AAAI, 2020)

Aggregated Gradient Langevin Dynamics. - Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Peilin Zhao; Tengfei Zhou; Hui Qian 001 (AAAI, 2020)

Accelerating Stratified Sampling SGD by Reconstructing Strata. - Weijie Liu 006; Hui Qian 001; Chao Zhang 029; Zebang Shen; Jiahao Xie 001; Nenggan Zheng (IJCAI, 2020)

Partial Gromov-Wasserstein Learning for Partial Graph Matching. - Weijie Liu 006; Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Hui Qian 001; Nenggan Zheng (CoRR, 2020)

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. - Chao Zhang 029; Zhijian Li; Zebang Shen; Jiahao Xie 001; Hui Qian 001 (AAAI, 2021)

A Federated Learning Framework for Nonconvex-PL Minimax Problems. - Jiahao Xie 001; Chao Zhang 029; Yunsong Zhang; Zebang Shen; Hui Qian 001 (CoRR, 2021)

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. - Weijie Liu 006; Hui Qian 001; Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Nenggan Zheng (AAAI, 2022)

Towards Optimal Randomized Strategies in Adversarial Example Game. - Jiahao Xie 001; Chao Zhang 029; Weijie Liu 006; Wensong Bai; Hui Qian 001 (AAAI, 2023)

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Weijie Liu 006; Hui Qian 001 (AAAI, 2023)

Robust Graph Dictionary Learning. - Weijie Liu 006; Jiahao Xie 001; Chao Zhang 029; Makoto Yamada; Nenggan Zheng; Hui Qian 001 (ICLR, 2023)

An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. - Chao Zhang 029; Hui Qian 001; Jiahao Xie 001 (CoRR, 2023)

Efficient projection-free online convex optimization using stochastic gradients. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Hui Qian 001 (Mach. Learn., 2025)