Shuheng Shen

According to our database, Shuheng Shen authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Clean-image Backdoor Attacks.

Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang

CoRR, 2024

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

High-Bandwidth Grid-Connected Inverter to Enhance System Robustness Against Weak Grid.

Tianzhi Fang, Yifan Zhang, Shuheng Shen, Hao Wu, Hao Liu, Huili Zhang

IEEE Trans. Ind. Electron., July, 2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.

Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Differentially Private Learning with Per-Sample Adaptive Clipping.

Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu

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

2022

Accelerating local SGD for non-IID data using variance reduction.

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

Frontiers Comput. Sci., 2022

Differentially Private Learning with Per-Sample Adaptive Clipping.

Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang

CoRR, 2022

Deep Unified Representation for Heterogeneous Recommendation.

Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

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

Stability Analysis of Multi-Paralleled Grid-Connected Inverters with LCL-Filter in the Weak Grid.

Yinglin Jin, Tianzhi Fang, Shuheng Shen, Shushu Zhu

Proceedings of the IECON 2019, 2019

2018

Asynchronous Stochastic Composition Optimization with Variance Reduction.

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

CoRR, 2018

Depth annotations: Designing depth of a single image for depth-based effects.

Jingtang Liao, Shuheng Shen, Elmar Eisemann

Comput. Graph., 2018

2017

Depth Map Design and Depth-based Effects With a Single Image.

Jingtang Liao, Shuheng Shen, Elmar Eisemann

Proceedings of the 43rd Graphics Interface Conference 2017, 2017