Chao Zhang

According to our database, Chao Zhang authored at least 28 papers between 2014 and 2024.

Collaborative distances:

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

2024

Neural Sinkhorn Gradient Flow.

Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2024

2023

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework.

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2023

PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm.

Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai

CoRR, 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

SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm.

Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian

CoRR, 2022

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework.

Chao Zhang, Zhijian Li, Xin Du, Hui Qian

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Approximating Optimal Transport via Low-rank and Sparse Factorization.

Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian

CoRR, 2021

A Federated Learning Framework for Nonconvex-PL Minimax Problems.

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

CoRR, 2021

SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method.

Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

JUMP: a Jointly Predictor for User Click and Dwell Time.

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou

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

2017

Tensor Completion with Side Information: A Riemannian Manifold Approach.

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization.

Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Accelerated Stochastic ADMM with Variance Reduction.

Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou

CoRR, 2016

Accelerated Variance Reduced Block Coordinate Descent.

Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou

CoRR, 2016

2014

Improving the modified nyström method using spectral shifting.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014