Shuheng Shen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Stochastic Gradient Descent

Blind Watermarking

Variance Reduction

Top Venues

Graphics Interface

Publications

Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD (2024)
Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR (2024)
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR (2024)
Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang
Clean-image Backdoor Attacks. CoRR (2024)
Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. CoRR (2024)
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)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR (2023)
Tianzhi Fang, Yifan Zhang, Shuheng Shen, Hao Wu, Hao Liu, Huili Zhang
High-Bandwidth Grid-Connected Inverter to Enhance System Robustness Against Weak Grid. IEEE Trans. Ind. Electron. 70 (7) (2023)
Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu
Differentially Private Learning with Per-Sample Adaptive Clipping. AAAI (2023)
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
Deep Unified Representation for Heterogeneous Recommendation. CoRR (2022)
Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan
Accelerating local SGD for non-IID data using variance reduction. Frontiers Comput. Sci. 17 (2) (2022)
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
Deep Unified Representation for Heterogeneous Recommendation. WWW (2022)
Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang
Differentially Private Learning with Per-Sample Adaptive Clipping. CoRR (2022)
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. AAAI (2021)
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)
Yinglin Jin, Tianzhi Fang, Shuheng Shen, Shushu Zhu
Stability Analysis of Multi-Paralleled Grid-Connected Inverters with LCL-Filter in the Weak Grid. IECON (2019)
Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng
Variance Reduced Local SGD with Lower Communication Complexity. CoRR (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)
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
Asynchronous Stochastic Composition Optimization with Variance Reduction. CoRR (2018)
Jingtang Liao, Shuheng Shen, Elmar Eisemann
Depth annotations: Designing depth of a single image for depth-based effects. Comput. Graph. 71 (2018)
Jingtang Liao, Shuheng Shen, Elmar Eisemann
Depth Map Design and Depth-based Effects With a Single Image. Graphics Interface (2017)