A New Hyper-Chaotic Algorithm for Image Encryption. - Yongliang Xiao; Limin Xia (ICYCS, 2008)

Adaptive Self-Occlusion Behavior Recognition Based on pLSA. - Hongbin Tu; Limin Xia; Lunzheng Tan (J. Appl. Math., 2013)

Human action recognition using modified slow feature analysis and multiple kernel learning. - Yongliang Xiao; Limin Xia (Multim. Tools Appl., 2016)

Simulation of Knowledge Transfer Process Model Between Universities: A Perspective of Cluster Innovation Network. - Wei Fang 003; Limin Xia (Complex., 2018)

Abnormal behavior detection in videos using deep learning. - Jun Wang 116; Limin Xia (Clust. Comput., 2019)

Multi-stream neural network fused with local information and global information for HOI detection. - Limin Xia; Rui Li 071 (Appl. Intell., 2020)

Human Action Recognition Based on Motion Feature and Manifold Learning. - Jun Wang 116; Limin Xia; Wentao Ma (IEEE Access, 2021)

Refining Pseudo Labels for Unsupervised Domain Adaptive Person Re-Identification. - Limin Xia; Zhimin Yu; Wentao Ma; Jiahui Zhu (IEEE Access, 2021)

Real-World Person Re-Identification via Super-Resolution and Semi-Supervised Methods. - Limin Xia; Jiahui Zhu; Zhimin Yu (IEEE Access, 2021)

Semantic features and high-order physical features fusion for action recognition. - Limin Xia; Wentao Ma; Lu Feng (Clust. Comput., 2021)

An abnormal event detection method based on the Riemannian manifold and LSTM network. - Limin Xia; Zhenmin Li (Neurocomputing, 2021)

A new method of abnormal behavior detection using LSTM network with temporal attention mechanism. - Limin Xia; Zhenmin Li (J. Supercomput., 2021)

Human action recognition using high-order feature of optical flows. - Limin Xia; Wentao Ma (J. Supercomput., 2021)

Abnormal event detection in surveillance videos based on multi-scale feature and channel-wise attention mechanism. - Limin Xia; Changhong Wei (J. Supercomput., 2022)

Unsupervised learning of local features for person re-identification with loss function. - Lunzheng Tan; Guoluan Chen; Rui Ding; Limin Xia (Int. J. Auton. Adapt. Commun. Syst., 2023)

Abnormal event detection based on masked reconstruction and dual-channel adversarial prediction. - Lunzheng Tan; Yu Weng; Limin Xia; Jiusheng Xiao (J. Electronic Imaging, 2023)

Real-world abnormal event detection via super-resolution and few-shot learning. - Limin Xia; Changhong Wei (J. Electronic Imaging, 2023)

Zero-shot action recognition by clustered representation with redundancy-free features. - Limin Xia; Xin Wen (Mach. Vis. Appl., 2023)

Bi-LSTM with attention pooling based on joint motion and difference entropy for action recognition. - Lunzheng Tan; Chunping Huang; Limin Xia; Jiaxiao Li (Int. J. Auton. Adapt. Commun. Syst., 2024)

Human-object interaction detection based on cascade multi-scale transformer. - Limin Xia; Xiaoyue Ding (Appl. Intell., 2024)

Human-object interaction recognition based on interactivity detection and multi-feature fusion. - Limin Xia; Xiaoyue Ding (Clust. Comput., 2024)

Multi-stream network with key frame sampling for human action recognition. - Limin Xia; Xin Wen (J. Supercomput., 2024)

Human-object interaction detection based on disentangled axial attention transformer. - Limin Xia; Qiyue Xiao (Mach. Vis. Appl., 2024)

Cmf-transformer: cross-modal fusion transformer for human action recognition. - Jun Wang; Limin Xia; Xin Wen (Mach. Vis. Appl., 2024)

Spatial-temporal multiscale feature optimization based two-stream convolutional neural network for action recognition. - Limin Xia; Weiye Fu (Clust. Comput., 2024)

ST-HViT: spatial-temporal hierarchical vision transformer for action recognition. - Limin Xia; Weiye Fu (Pattern Anal. Appl., 2025)

A Jeap-BiLSTM Neural Network for Action Recognition. - Lunzheng Tan; Yanfei Liu; Limin Xia; Shangsheng Chen; Zhanben Zhou (Int. J. Image Graph., 2025)

Comprehensive context learning for two-stage human-object interaction detection. - Limin Xia; Qiyue Xiao (J. Supercomput., 2025)