Shuheng Shen

36 papers A* 10B 1C 1Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions.
WWW
Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun
2026 A* conf
GUI-G²: Gaussian Reward Modeling for GUI Grounding.
AAAI
Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang
2026 J jnl
Mitigating Conversational Inertia in Multi-Turn Agents.
CoRR
Yang Wan, Zheng Cao, Zhenhao Zhang, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Linchao Zhu
2026 J jnl
UI-Venus-1.5 Technical Report.
CoRR
Venus Team, Changlong Gao, Zhangxuan Gu, Yulin Liu, Xinyu Qiu, Shuheng Shen, Yue Wen, Tianyu Xia, Zhenyu Xu, Zhengwen Zeng, Beitong Zhou, Xingran Zhou, Weizhi Chen, Sunhao Dai, Jingya Dou, Yichen Gong, Yuan Guo, Zhenlin Guo, Feng Li, Qian Li, Jinzhen Lin, Yuqi Zhou, Linchao Zhu, Liang Chen, Zhenyu Guo, Changhua Meng, Weiqiang Wang
2026 J jnl
Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled Preference Optimization.
CoRR
Xinyu Qiu, Heng Jia, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Yi Yang, Linchao Zhu
2025 — conf
BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems.
KDD (2)
Liangliang Shi, Haoran Zhang, Shuheng Shen, Changhua Meng, Weiqiang Wang, Junchi Yan
2025 A* conf
Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration.
WWW
Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun
2025 J jnl
GUI-G
CoRR
Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang
2025 J jnl
MVP: Multiple View Prediction Improves GUI Grounding.
CoRR
Yunzhu Zhang, Zeyu Pan, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Linchao Zhu
2025 J jnl
UI-Venus Technical Report: Building High-performance UI Agents with RFT.
CoRR
Zhangxuan Gu, Zhengwen Zeng, Zhenyu Xu, Xingran Zhou, Shuheng Shen, Yunfei Liu, Beitong Zhou, Changhua Meng, Tianyu Xia, Weizhi Chen, Yue Wen, Jingya Dou, Fei Tang, Jinzhen Lin, Yulin Liu, Zhenlin Guo, Yichen Gong, Heng Jia, Changlong Gao, Yuan Guo, Yong Deng, Zhenyu Guo, Liang Chen, Weiqiang Wang
2025 J jnl
VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks.
CoRR
Beitong Zhou, Zhexiao Huang, Yuan Guo, Zhangxuan Gu, Tianyu Xia, Zichen Luo, Fei Tang, Dehan Kong, Yanyi Shang, Suling Ou, Zhenlin Guo, Changhua Meng, Shuheng Shen
2024 — conf
Clean-Image Backdoor Attacks.
ICANN (10)
Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang
2024 J jnl
Clean-image Backdoor Attacks.
CoRR
Dazhong Rong, Guoyao Yu, Shuheng Shen, Xinyi Fu, Peng Qian, Jianhai Chen, Qinming He, Xing Fu, Weiqiang Wang
2024 J jnl
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion.
CoRR
Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu
2024 A* conf
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.
SIGIR
Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
2024 A* conf
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.
KDD
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024 J jnl
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.
CoRR
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
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
2023 A* conf
Differentially Private Learning with Per-Sample Adaptive Clipping.
AAAI
Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu
2023 J jnl
High-Bandwidth Grid-Connected Inverter to Enhance System Robustness Against Weak Grid.
IEEE Trans. Ind. Electron.
Tianzhi Fang, Yifan Zhang, Shuheng Shen, Hao Wu, Hao Liu, Huili Zhang
2023 A* conf
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
ACM Multimedia
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023 J jnl
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
CoRR
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2022 J jnl
Accelerating local SGD for non-IID data using variance reduction.
Frontiers Comput. Sci.
Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan
2022 A* conf
Deep Unified Representation for Heterogeneous Recommendation.
WWW
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022 J jnl
Deep Unified Representation for Heterogeneous Recommendation.
CoRR
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022 J jnl
Differentially Private Learning with Per-Sample Adaptive Clipping.
CoRR
Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang
2021 A* conf
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.
AAAI
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
2020 J jnl
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.
CoRR
Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
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 C conf
Stability Analysis of Multi-Paralleled Grid-Connected Inverters with LCL-Filter in the Weak Grid.
IECON
Yinglin Jin, Tianzhi Fang, Shuheng Shen, Shushu Zhu
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
Asynchronous Stochastic Composition Optimization with Variance Reduction.
CoRR
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
2018 J jnl
Depth annotations: Designing depth of a single image for depth-based effects.
Comput. Graph.
Jingtang Liao, Shuheng Shen, Elmar Eisemann
2017 B conf
Depth Map Design and Depth-based Effects With a Single Image.
Graphics Interface
Jingtang Liao, Shuheng Shen, Elmar Eisemann