Jingchang Liu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Online Algorithms

Stochastic Gradient Descent

Quasi Monte Carlo

Top Venues

Publications

Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen
Communication-efficient federated learning with stagewise training strategy. Neural Networks 167 (2023)
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. AAAI (2021)
Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
IntroVNMT: An Introspective Model for Variational Neural Machine Translation. AAAI (2020)
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. CoRR (2020)
Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. CoRR (2019)
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. AAAI (2019)
Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng
Variance Reduced Local SGD with Lower Communication Complexity. CoRR (2019)
Junliang Guo, Linli Xu, Jingchang Liu
SPINE: Structural Identity Preserved Inductive Network Embedding. IJCAI (2019)
Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. IJCAI (2019)
Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling
An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Mach. Learn. 108 (5) (2019)
Jingchang Liu, Linli Xu
Accelerating Stochastic Gradient Descent Using Antithetic Sampling. CoRR (2018)
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
Asynchronous Stochastic Composition Optimization with Variance Reduction. CoRR (2018)