Depth Map Design and Depth-based Effects With a Single Image. - Jingtang Liao; Shuheng Shen; Elmar Eisemann (Graphics Interface, 2017)

Depth annotations: Designing depth of a single image for depth-based effects. - Jingtang Liao; Shuheng Shen; Elmar Eisemann (Comput. Graph., 2018)

Asynchronous Stochastic Composition Optimization with Variance Reduction. - Shuheng Shen; Linli Xu; Jingchang Liu; Junliang Guo; Qing Ling (CoRR, 2018)

Stability Analysis of Multi-Paralleled Grid-Connected Inverters with LCL-Filter in the Weak Grid. - Yinglin Jin; Tianzhi Fang; Shuheng Shen; Shushu Zhu (IECON, 2019)

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. - Shuheng Shen; Linli Xu; Jingchang Liu; Xianfeng Liang; Yifei Cheng 002 (IJCAI, 2019)

Variance Reduced Local SGD with Lower Communication Complexity. - Xianfeng Liang; Shuheng Shen; Jingchang Liu; Zhen Pan; Enhong Chen; Yifei Cheng 002 (CoRR, 2019)

An accelerated variance reducing stochastic method with Douglas-Rachford splitting. - Jingchang Liu; Linli Xu; Shuheng Shen; Qing Ling (Mach. Learn., 2019)

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. - Shuheng Shen; Yifei Cheng 002; Jingchang Liu; Linli Xu (AAAI, 2021)

Deep Unified Representation for Heterogeneous Recommendation. - Chengqiang Lu; Mingyang Yin; Shuheng Shen; Luo Ji; Qi Liu 003; Hongxia Yang (WWW, 2022)

Differentially Private Learning with Per-Sample Adaptive Clipping. - Tianyu Xia; Shuheng Shen; Su Yao; Xinyi Fu; Ke Xu 002; Xiaolong Xu; Xing Fu; Weiqiang Wang (CoRR, 2022)

Accelerating local SGD for non-IID data using variance reduction. - Xianfeng Liang; Shuheng Shen; Enhong Chen; Jinchang Liu; Qi Liu 003; Yifei Cheng 002; Zhen Pan (Frontiers Comput. Sci., 2022)

Differentially Private Learning with Per-Sample Adaptive Clipping. - Tianyu Xia; Shuheng Shen; Su Yao; Xinyi Fu; Ke Xu 002; Xiaolong Xu; Xing Fu (AAAI, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang; Mengling Hu; Yanchao Tan; Xiaolin Zheng (CoRR, 2023)

High-Bandwidth Grid-Connected Inverter to Enhance System Robustness Against Weak Grid. - Tianzhi Fang; Yifan Zhang; Shuheng Shen; Hao Wu; Hao Liu 073; Huili Zhang (IEEE Trans. Ind. Electron., 2023)

Communication-efficient federated learning with stagewise training strategy. - Yifei Cheng 002; Shuheng Shen; Xianfeng Liang; Jingchang Liu; Joya Chen; Tie Zhang; Enhong Chen (Neural Networks, 2023)

Clean-Image Backdoor Attacks. - Dazhong Rong; Guoyao Yu; Shuheng Shen; Xinyi Fu; Peng Qian; Jianhai Chen; Qinming He; Xing Fu; Weiqiang Wang (ICANN (10), 2024)

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. - Yunfei Liu; Jintang Li; Yuehe Chen; Ruofan Wu; Ericbk Wang; Jing Zhou; Sheng Tian; Shuheng Shen; Xing Fu; Changhua Meng; Weiqiang Wang 002; Liang Chen 001 (KDD, 2024)

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Zibin Lin; Shuheng Shen; Weiqiang Wang 002; Xiaolin Zheng (SIGIR, 2024)

E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. - Ke Wang 042; Tianyu Xia; Zhangxuan Gu; Yi Zhao 011; Shuheng Shen; Changhua Meng; Weiqiang Wang 002; Ke Xu 002 (CoRR, 2024)

Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration. - Zheng Gong 001; Shuheng Shen; Changhua Meng; Ying Sun 006 (WWW, 2025)

GUI-G2: Gaussian Reward Modeling for GUI Grounding. - Fei Tang; Zhangxuan Gu; Zhengxi Lu; Xuyang Liu; Shuheng Shen; Changhua Meng; Wen Wang 009; Wenqi Zhang 001; Yongliang Shen 001; Weiming Lu 001; Jun Xiao 001; Yueting Zhuang (CoRR, 2025)

UI-Venus Technical Report: Building High-performance UI Agents with RFT. - Zhangxuan Gu; Zhengwen Zeng; Zhenyu Xu; Xingran Zhou; Shuheng Shen; Yunfei Liu; Beitong Zhou; Changhua Meng; Tianyu Xia; Weizhi Chen; Yue Wen; Jingya Dou; et al. (CoRR, 2025)