Jiahao Xie

According to our database, Jiahao Xie authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficient projection-free online convex optimization using stochastic gradients.

Jiahao Xie, Chao Zhang, Zebang Shen, Hui Qian

Mach. Learn., April, 2025

2023

An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem.

Chao Zhang, Hui Qian, Jiahao Xie

CoRR, 2023

Robust Graph Dictionary Learning.

Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems.

Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Optimal Randomized Strategies in Adversarial Example Game.

Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs.

Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Federated Learning Framework for Nonconvex-PL Minimax Problems.

Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian

CoRR, 2021

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method.

Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Partial Gromov-Wasserstein Learning for Partial Graph Matching.

Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng

CoRR, 2020

Accelerating Stratified Sampling SGD by Reconstructing Strata.

Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Aggregated Gradient Langevin Dynamics.

Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient.

Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning.

Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang

CoRR, 2019

Decentralized Gradient Tracking for Continuous DR-Submodular Maximization.

Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Towards Memory-Friendly Deterministic Incremental Gradient Method.

Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018