Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace. - Weilong Peng; Zhiyong Feng 002; Chao Xu 003; Yong Su 003 (CVPR, 2017)

Spatio-Temporal Large Margin Nearest Neighbor (ST-LMNN) Based on Riemannian Features for Individual Identification. - Yong Su 003; Zhiyong Feng 002; Meng Xing (ICME, 2018)

Sequential Articulated Motion Reconstruction from a Monocular Image Sequence. - Yong Su 003; Zhiyong Feng 002; Jianhai Zhang; Weilong Peng; Meng Xing (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Discriminative Saliency-pose-attention Covariance for Action Recognition. - Jianhai Zhang; Zhiyong Feng 002; Yong Su 003; Meng Xing (ICASSP, 2019)

Spatio-Temporal Multi-Factor Discriminant Analysis for Individual Identification. - Yong Su 003; Zhiyong Feng 002 (ICME, 2019)

Dynamic hand gesture recognition using motion pattern and shape descriptors. - Meng Xing; Jing Hu 007; Zhiyong Feng 002; Yong Su 003; Weilong Peng; Jinqing Zheng (Multim. Tools Appl., 2019)

Riemannian Spatio-Temporal Features of Locomotion for Individual Recognition. - Jianhai Zhang; Zhiyong Feng 002; Yong Su 003; Meng Xing; Wanli Xue (Sensors, 2019)

Spatio-temporal metric learning for individual recognition from locomotion. - Yong Su 003; Simin An; Zhiyong Feng 002; Meng Xing; Jianhai Zhang (J. Vis. Commun. Image Represent., 2020)

Cross-covariance matrix: Time-shifted correlations for 3D action recognition. - Jianhai Zhang; Zhiyong Feng 002; Yong Su 003; Meng Xing (Signal Process., 2020)

An Image Cues Coding Approach for 3D Human Pose Estimation. - Meng Xing; Zhiyong Feng 002; Yong Su 003; Jianhai Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2020)

DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition. - Cheng Qi; Zhiyong Feng 002; Meng Xing; Yong Su 003 (ICANN (5), 2021)

Spatio-temporal multi-factor model for individual identification from biological motion. - Yong Su 003; Weilong Peng; Meng Xing; Zhiyong Feng 002 (Ad Hoc Networks, 2021)

VDARN: Video Disentangling Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition. - Yong Su 003; Meng Xing; Simin An; Weilong Peng; Zhiyong Feng 002 (Ad Hoc Networks, 2021)

Disentangling style on dynamic aligned poses for individual identification. - Yong Su 003; Jianhai Zhang; Meng Xing; Weilong Peng; Zhiyong Feng 002 (Ad Hoc Networks, 2021)

Geometrical Consistency Modeling on B-Spline Parameter Domain for 3D Face Reconstruction From Limited Number of Wild Images. - Weilong Peng; Yong Su 003; Keke Tang; Chao Xu 003; Zhiyong Feng 002; Meie Fang (Frontiers Neurorobotics, 2021)

Ventral & Dorsal Stream Theory based Zero-Shot Action Recognition. - Meng Xing; Zhiyong Feng 002; Yong Su 003; Weilong Peng; Jianhai Zhang (Pattern Recognit., 2021)

Bayesian Covariance Representation with Global Informative Prior for 3D Action Recognition. - Jianhai Zhang; Zhiyong Feng 002; Yong Su 003; Meng Xing (ACM Trans. Multim. Comput. Commun. Appl., 2021)

VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement. - Yi Yang 074; Yong Su 003; Simin An (PRCV (2), 2022)

Energy-Based Temporal Summarized Attentive Network for Zero-Shot Action Recognition. - Cheng Qi; Zhiyong Feng 002; Meng Xing; Yong Su 003; Jinqing Zheng; Yiming Zhang (IEEE Trans. Multim., 2023)

Prime: Privacy-preserving video anomaly detection via Motion Exemplar guidance. - Yong Su 003; Haohao Zhu; Yuyu Tan; Simin An; Meng Xing (Knowl. Based Syst., 2023)

Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection. - Meng Xing; Zhiyong Feng 002; Yong Su 003; Changjae Oh (AAAI, 2024)

Anomalies cannot materialize or vanish out of thin air: A hierarchical multiple instance learning with position-scale awareness for video anomaly detection. - Yong Su 003; Yuyu Tan; Simin An; Meng Xing (Expert Syst. Appl., 2024)

VPE-WSVAD: Visual prompt exemplars for weakly-supervised video anomaly detection. - Yong Su 003; Yuyu Tan; Meng Xing; Simin An (Knowl. Based Syst., 2024)

Spatio-Temporal Articulation & Coordination Co-attention Graph Network for human motion prediction. - Shuang Zhu; Jin Chen 002; Yong Su 003 (Signal Process., 2024)

MTAN: Multi-degree Tail-aware Attention Network for human motion prediction. - Junyi Tang; Jin Chen 002; Yong Su 003; Meng Xing; Shuang Zhu (Internet Things, 2024)

M2AST:MLP-mixer-based adaptive spatial-temporal graph learning for human motion prediction. - Junyi Tang; Simin An; Yuanwei Liu; Yong Su 003; Jin Chen 002 (Multim. Syst., 2024)

MeshPAD: Payload-aware mesh distortion for 3D steganography based on geometric deep learning. - Weilong Peng; Keke Tang; Weixuan Tang; Yong Su 003; Meie Fang; Ping Li 016 (Expert Syst. Appl., 2025)

Spatio-temporal graph-based self-labeling for video anomaly detection. - Meng Xing; Zhiyong Feng 002; Yong Su 003; Yiming Zhang; Changjae Oh; Valeriya V. Gribova; Vladimir Fedorovich Filaretoy; Deshuang Huang (Neurocomputing, 2025)

Federated weakly-supervised video anomaly detection with mixture of local-to-global experts. - Yong Su 003; Jiahang Li 004; Simin An; Meng Xing; Zhiyong Feng 002 (Inf. Fusion, 2025)

Semantic-driven dual consistency learning for weakly supervised video anomaly detection. - Yong Su 003; Yuyu Tan; Simin An; Meng Xing; Zhiyong Feng 002 (Pattern Recognit., 2025)

Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification. - Jiahang Li 004; Shibo Xue; Yong Su 003 (CoRR, 2025)

Dual-Detector Reoptimization for Federated Weakly Supervised Video Anomaly Detection via Adaptive Dynamic Recursive Mapping. - Yong Su 003; Jiahang Li 004; Simin An; Hengpeng Xu; Weilong Peng (IEEE Trans. Ind. Informatics, 2025)

Unbiased Spatial-Temporal Atomic Fusion-based Zero-Shot Action Recognition. - Meng Xing; Zhiyong Feng 002; Shuang Zhu; Yong Su 003; Valeriya V. Gribova; Vladimir Fedorovich Filaretoy; Deshuang Huang (Inf. Fusion, 2026)