Jingchang Liu

According to our database, Jingchang Liu authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Communication-efficient federated learning with stagewise training strategy.

Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen

Neural Networks, October, 2023

2021

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.

Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu

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

2020

IntroVNMT: An Introspective Model for Variational Neural Machine Translation.

Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu

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

2019

An accelerated variance reducing stochastic method with Douglas-Rachford splitting.

Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling

Mach. Learn., 2019

Variance Reduced Local SGD with Lower Communication Complexity.

Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng

CoRR, 2019

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent.

Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SPINE: Structural Identity Preserved Inductive Network Embedding.

Junliang Guo, Linli Xu, Jingchang Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.

Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Asynchronous Stochastic Composition Optimization with Variance Reduction.

Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling

CoRR, 2018

Accelerating Stochastic Gradient Descent Using Antithetic Sampling.

Jingchang Liu, Linli Xu

CoRR, 2018