Jiahao Xie - RankMe

17 papers A* 8A 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient projection-free online convex optimization using stochastic gradients. Mach. Learn. Jiahao Xie, Chao Zhang, Zebang Shen, Hui Qian
2023	J	`jnl`	An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. CoRR Chao Zhang, Hui Qian, Jiahao Xie
2023	A*	`conf`	CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. AAAI Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian
2023	A*	`conf`	Robust Graph Dictionary Learning. ICLR Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
2023	A*	`conf`	Towards Optimal Randomized Strategies in Adversarial Example Game. AAAI Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
2023	J	`jnl`	Towards Optimal Randomized Strategies in Adversarial Example Game. CoRR Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
2022	A*	`conf`	From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. AAAI Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
2021	J	`jnl`	A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
2021	A*	`conf`	A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. AAAI Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian
2020	A*	`conf`	Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
2020	A*	`conf`	Aggregated Gradient Langevin Dynamics. AAAI Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2020	A*	`conf`	Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
2020	J	`jnl`	Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng
2019	J	`jnl`	Aggregated Gradient Langevin Dynamics. CoRR Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2019	A	`conf`	Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian
2019	J	`jnl`	Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang
2018	A	`conf`	Towards Memory-Friendly Deterministic Incremental Gradient Method. AISTATS Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang