A new evidential trust model for open communities. - Jin Wang 005; Huaijiang Sun (Comput. Stand. Interfaces, 2009)

RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs. - Jin Wang 005; Yonghui Zhang; Youyuan Wang; Xiang Gu 001 (Int. J. Distributed Sens. Networks, 2016)

Internet of Things for Ambient Assisted Living: Challenges and Future Opportunities. - Jie Wan 001; Xiang Gu 001; Liang Chen; Jin Wang 005 (CyberC, 2017)

Self-Recommendation Mechanism in Trust Calculation Among Nodes in WSN. - Xiang Gu 001; Jin Wang 005; Jianlin Qiu; Zhengzheng Jiang (Wirel. Pers. Commun., 2017)

Wearable IoT enabled real-time health monitoring system. - Jie Wan 001; Munassar A. A. H. Al-awlaqi; MingSong Li; Michael J. O'Grady; Xiang Gu 001; Jin Wang 005; Ning Cao (EURASIP J. Wirel. Commun. Netw., 2018)

ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing. - Jin Wang 005; Youyuan Wang; Xiang Gu 001; Liang Chen; Jie Wan 001 (Int. J. Distributed Sens. Networks, 2018)

A Trust Scheme Based on Vehicles Reports of Events in VANETs. - Jie Wan 001; Xiang Gu 001; Jin Wang 005; Liang Chen (Wirel. Pers. Commun., 2019)

Visible Infrared Person Re-Identification via Global-Level and Local-Level Constraints. - Tianqi Zhang; Jin Wang 005; Kaiwei Jiang; Xiang Gu 001; Jie Wan 001 (IEEE Access, 2021)

Research of vehicular cloud storage resource management based on trust mechanism. - Jin Wang 005; Miao Zhang; Xiang Gu 001; Tiequan Wang; Jie Wang; Liang Chen (Int. J. Distributed Sens. Networks, 2021)

A Kind of Event Trust Model for VANET Based on Statistical Method. - Xuemei Yan; Xiang Gu 001; Jin Wang 005; Jie Wan 001; Liang Chen (Wirel. Pers. Commun., 2021)

Minimizing Cost and Delay for Video Datacenters Using Efficient Fuzzy Dominance-Based Particle Swarm Optimization. - Zi Yang; Jin Wang 005; Jingwen Zhang; Yi Zhang; Jin Sun (ICPADS, 2023)

Vehicle Trajectory Prediction With Interaction Regions and Spatial-Temporal Attention. - Dengyang Cheng; Xiang Gu 001; Cong Qian; Chaonan Du; Jin Wang 005 (IEEE Access, 2023)

Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation. - Shengxiang Hu 001; Huaijiang Sun; Dong Wei 007; Xiaoning Sun; Jin Wang 005 (NeurIPS, 2024)

Lightweight Person Re-Identification for Edge Computing. - Jin Wang 005; Yanbin Dong; Haiming Chen (IEEE Access, 2024)

Pedestrian Detection Method Based on FCOS-DEFPN Model. - Feng Chen; Xiang Gu 001; Long Gao; Jin Wang 005 (IEEE Access, 2024)

Sparse Transformer Network With Spatial-Temporal Graph for Pedestrian Trajectory Prediction. - Long Gao; Xiang Gu 001; Feng Chen; Jin Wang 005 (IEEE Access, 2024)

GAFUSE-Net: A Low Resolution Gaze Estimation Method Based on the Enhancement of Gaze-Relevant Features. - Jin Wang 005; Ke Wang; Shuoyu Cao (IEEE Access, 2024)

Unified Privileged Knowledge Distillation Framework for Human Motion Prediction. - Xiaoning Sun; Huaijiang Sun; Dong Wei 007; Jin Wang 005; Bin Li 084; Weiqing Li; Jianfeng Lu (IEEE Trans. Circuits Syst. Video Technol., 2024)

SCHAL-Netf: Synergistic Constraint of Holistic and Local Features for Cross-Modality Place Recognition. - Jin Wang 005; Guyan Chen; Rui Liang; Peijun Lu (ICIC (5), 2025)

Feature correction and semantic guidance for multimodal crowd counting. - Jin Wang 005; Yingchuan Zhao; Liyun Dou (Appl. Soft Comput., 2025)

Adaptive set-level metric for few-Shot image classification. - Yadang Chen; Zhen Xu; Jin Wang 005; Zhi-Xin Yang 001 (Neural Networks, 2025)

SENet: Super-resolution enhancement network for crowd counting. - Yanbo Liu; Yingxiang Hu; Guo Cao; Jin Wang 005 (Pattern Recognit., 2025)

GLFNet: An RGB-T Crowd Counting Network Based on Global-Local Multimodal Feature Fusion. - Yingxiang Hu; Yan-Bo Liu; Guo Cao; Jin Wang 005 (IEEE Trans. Instrum. Meas., 2025)

Diffusion-Refinement Pose Estimation With Hybrid Representation. - Shengxiang Hu 001; Huaijiang Sun; Dong Wei 007; Jin Wang 005 (IEEE Trans. Instrum. Meas., 2025)

CrowdCL: Unsupervised Crowd Counting Network via Contrastive Learning. - Yingxiang Hu; Yanbo Liu; Guo Cao; Jin Wang 005 (IEEE Internet Things J., 2025)