Action recognition using multi-layer Depth Motion maps and Sparse Dictionary Learning. - Chengwu Liang; Enqing Chen; Lin Qi 001; Ling Guan (MMSP, 2015)

Spatio-Temporal Pyramid Model based on depth maps for action recognition. - Haining Xu; Enqing Chen; Chengwu Liang; Lin Qi 001; Ling Guan (MMSP, 2015)

Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradients. - Chengwu Liang; Lin Qi 001; Enqing Chen; Ling Guan (BTAS, 2016)

3D Action Recognition Using Depth-Based Feature and Locality-Constrained Affine Subspace Coding. - Chengwu Liang; Enqing Chen; Lin Qi 001; Ling Guan (ISM, 2016)

Improving Action Recognition Using Collaborative Representation of Local Depth Map Feature. - Chengwu Liang; Enqing Chen; Lin Qi 001; Ling Guan (IEEE Signal Process. Lett., 2016)

Heterogeneous Features Fusion with Collaborative Representation Learning for 3D Action Recognition. - Chengwu Liang; Enqing Chen; Lin Qi 001; Ling Guan (ISM, 2017)

Motion energy guided multi-scale heterogeneous features for 3D action recognition. - Chengwu Liang; Lin Qi 001; Ling Guan (VCIP, 2017)

Single Sample Per Person Face Recognition Based on Sparse Representation with Extended Generic Set. - Lin Qi 001; Yun Tie; Chengwu Liang; Zizhe Wang (CyberC, 2018)

Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration? - Ling Guan; Lei Gao 001; Nour El-Din El-Madany; Chengwu Liang (MIPR, 2018)

3D Human Action Recognition Using a Single Depth Feature and Locality-Constrained Affine Subspace Coding. - Chengwu Liang; Lin Qi 001; Yifeng He; Ling Guan (IEEE Trans. Circuits Syst. Video Technol., 2018)

Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching. - Deyin Liu; Chengwu Liang; Zhiming Zhang; Lin Qi 001; Brian C. Lovell (Sensors, 2019)

Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning. - Chengwu Liang; Deyin Liu; Lin Qi 001; Ling Guan (IEEE Access, 2020)

Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition. - Qiang Liu; Enqing Chen; Lei Gao 001; Chengwu Liang; Hao Liu (Sensors, 2020)

Auto-encoder based structured dictionary learning for visual classification. - Deyin Liu; Chengwu Liang; Shaokang Chen; Yun Tie; Lin Qi 001 (Neurocomputing, 2021)

Dynamic Gesture Recognition Based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks. - Jie Chen; Yun Tie; Lin Qi 001; Chengwu Liang (PRCV (8), 2023)

Dynamic Gesture Recognition Using a Spatio-Temporal Adaptive Multiscale Convolutional Transformer Network. - Jie Chen; Yun Tie; Lin Qi 001; Chengwu Liang (IJCNN, 2024)

A Complementary Action Recognition Network based on Conv-Transformer. - Linfu Liu; Lin Qi 001; Yun Tie; Chengwu Liang (IJCNN, 2024)

Temporal-Channel Attention and Convolution Fusion for Skeleton-Based Human Action Recognition. - Chengwu Liang; Jie Yang 086; Ruolin Du; Wei Hu; Ning Hou (IEEE Access, 2024)

Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. - Deyin Liu; Lin Yuanbo Wu; Bo Li 090; Farid Boussaïd; Mohammed Bennamoun; Xianghua Xie; Chengwu Liang (Pattern Recognit., 2024)

A Distributed Photovoltaic Operation and Maintenance Cloud Platform for PV Aerial Inspections With Sparse Industrial Data. - Chengwu Liang; Songqi Jiang; Jie Yang 086; Wei Hu; Yalong Liu; Peiwang Zhu; Guofeng He; Chunlei Shi (IEEE Access, 2025)

Dynamic gesture recognition using 3D central difference separable residual LSTM coordinate attention networks. - Lichuan Geng; Jie Chen; Yun Tie; Lin Qi 001; Chengwu Liang (J. Vis. Commun. Image Represent., 2025)