A Change-Aware Approach for Relative Motion Segmentation. - Zhuojun Zou; Zhaoteng Meng; Lin Shu; Jie Hao (ICME, 2021)

End-to-End Surface Reconstruction for Touching Trajectories. - Jiarui Liu 003; Yuanpei Zhang; Zhuojun Zou; Jie Hao (ACCV (7), 2022)

Hierarchy SeparateEMD for Few-Shot Learning. - Yaqiang Sun; Jie Hao; Zhuojun Zou; Lin Shu; Shengjie Hu (AsiaSim (1), 2022)

Rethinking Bipartite Graph Matching in Realtime Multi-object Tracking. - Zhuojun Zou; Jie Hao; Lin Shu (CACML, 2022)

Online Feature Classification and Clustering for Transformer-based Visual Tracker. - Zhuojun Zou; Jie Hao; Lin Shu (ICPR, 2022)

Know Who You Are: Learning Target-Aware Transformer for Object Tracking. - Zhuojun Zou; Xuexin Liu; Yuanpei Zhang; Lin Shu; Jie Hao (ICME, 2023)

Evaluation of Sustainable Development Potential of High-Speed Railway Station Areas Based on "Node-Place-Industry" Model. - Zhuojun Zou; Yiwen Tang (ISPRS Int. J. Geo Inf., 2023)

Adaptive Text Feature Updating for Visual-Language Tracking. - Xuexin Liu; Zhuojun Zou; Jie Hao (ICPR (29), 2024)

CF-DLTrack: A Hybrid Object Tracking Approach Combining Correlation Filter and Deep Learning. - Xuexin Liu; Zhuojun Zou; Shuai Tian; Zhifeng Lv; Shun Li; Jie Hao (IoTAAI, 2024)

Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach. - Enwen Zhu; Zhuojun Zou; Jianxian Li; Jipan Chen; Ao Chen; Naifei Zhao; Qiang Yuan; Caicai Liu; Xin Tang (Neuroinformatics, 2025)