Physiological Function Assessment Based on RGB-D Camera. - Wenming Cao 001; Jianqi Zhong; Guitao Cao; Zhiquan He (ICME Workshops, 2018)

Physiological Function Assessment Based on Kinect V2. - Wenming Cao 001; Jianqi Zhong; Guitao Cao; Zhiquan He (IEEE Access, 2019)

Pedestrian Motion Trajectory Prediction With Stereo-Based 3D Deep Pose Estimation and Trajectory Learning. - Jianqi Zhong; Hao Sun; Wenming Cao 001; Zhihai He (IEEE Access, 2020)

Historical knowledge self-testing and training based on control decision. - Rong Zhang; Jianqi Zhong (ICBDE, 2022)

Skeleton-based motion prediction: A survey. - Muhammad Usman; Jianqi Zhong (Frontiers Comput. Neurosci., 2022)

A dual attention model based on probabilistically mask for 3D human motion prediction. - Wenming Cao 001; Shuangshuang Li; Jianqi Zhong (Neurocomputing, 2022)

QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction. - Wenming Cao 001; Shuangshuang Li; Jianqi Zhong (Neural Networks, 2022)

Geometric algebra-based multiview interaction networks for 3D human motion prediction. - Jianqi Zhong; Wenming Cao 001 (Pattern Recognit., 2023)

Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction. - Jianqi Zhong; Wenming Cao 001 (Appl. Intell., 2023)

Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction. - Jianqi Zhong; Jiang Huang; Wenming Cao 001 (Expert Syst. Appl., 2024)

Multiple Distilling-based spatial-temporal attention networks for unsupervised human action recognition. - Cheng Zhang; Jianqi Zhong; Wenming Cao 001; Jianhua Ji (Intell. Data Anal., 2024)

Spatiotemporal Progressive Inward-Outward Aggregation Network for skeleton-based action recognition. - Xinpeng Yin; Jianqi Zhong; Deliang Lian; Wenming Cao 001 (Pattern Recognit., 2024)

Multi-Semantics Aggregation Network Based on the Dynamic-Attention Mechanism for 3D Human Motion Prediction. - Junyu Shi; Jianqi Zhong; Wenming Cao 001 (IEEE Trans. Multim., 2024)

Gradient multi-foci networks for 3D skeleton-based human motion prediction. - Junyu Shi; Jianqi Zhong; Zhiquan He; Wenming Cao 001 (Neural Comput. Appl., 2024)

Refining Long-Term Predictions: Two-Stage Spatial-Temporal Feature Learning for 3D Human Motion Prediction. - Wenming Cao 001; Yixin Yang; Jianqi Zhong; Yicha Zhang (BigComp, 2025)

Optimizing human motion prediction through decoupled motion spatio-temporal trends. - Huan Pan; Ruiya Ji; Wenming Cao 001; Zhao Huang; Jianqi Zhong (Multim. Syst., 2025)

Positive Sample Mining: Fuzzy Threshold-Based Contrastive Learning for Enhanced Unsupervised Skeleton-Based Action Recognition. - Hengsheng Xu; Jianqi Zhong; Deliang Lian; Hanxu Hou; Wenming Cao 001 (IEEE Trans. Artif. Intell., 2025)

Progressively deeper attention networks for 3D human motion prediction. - Jiangtao Huang; Dong He; Wenming Cao 001; Jianqi Zhong (Multim. Syst., 2025)