Jingchang Liu

12 papers A* 5Journal 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Communication-efficient federated learning with stagewise training strategy.
Neural Networks
Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen
2021 A* conf
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.
AAAI
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
2020 A* conf
IntroVNMT: An Introspective Model for Variational Neural Machine Translation.
AAAI
Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
2020 J jnl
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.
CoRR
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
2019 A* conf
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.
AAAI
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
2019 J jnl
An accelerated variance reducing stochastic method with Douglas-Rachford splitting.
Mach. Learn.
Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling
2019 A* conf
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent.
IJCAI
Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
2019 J jnl
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent.
CoRR
Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
2019 A* conf
SPINE: Structural Identity Preserved Inductive Network Embedding.
IJCAI
Junliang Guo, Linli Xu, Jingchang Liu
2019 J jnl
Variance Reduced Local SGD with Lower Communication Complexity.
CoRR
Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng
2018 J jnl
Accelerating Stochastic Gradient Descent Using Antithetic Sampling.
CoRR
Jingchang Liu, Linli Xu
2018 J jnl
Asynchronous Stochastic Composition Optimization with Variance Reduction.
CoRR
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling