Video anomaly detection using deep incremental slow feature analysis network. - Xing Hu 006; Shiqiang Hu; Yingping Huang; Huanlong Zhang; Hanbing Wu (IET Comput. Vis., 2016)

Abnormal event detection in crowded scenes using histogram of oriented contextual gradient descriptor. - Xing Hu 006; Yingping Huang; Qianqian Duan; Wenyan Ci; Jian Dai; Haima Yang (EURASIP J. Adv. Signal Process., 2018)

Lane Detection Based on Inverse Perspective Transformation and Kalman Filter. - Yingping Huang; Yangwei Li; Xing Hu 006; Wenyan Ci (KSII Trans. Internet Inf. Syst., 2018)

An Anti-occlusion and Scale Adaptive Kernel Correlation Filter for Visual Object Tracking. - Yingping Huang; Chao Ju; Xing Hu 006; Wenyan Ci (KSII Trans. Internet Inf. Syst., 2019)

Squirrel-Cage Local Binary Pattern and Its Application in Video Anomaly Detection. - Xing Hu 006; Yingping Huang; Xiumin Gao; Lingkun Luo; Qianqian Duan (IEEE Trans. Inf. Forensics Secur., 2019)

An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain images. - Kaixin Chen; Xiao Lin; Xing Hu 006; Jiayao Wang 004; Han Zhong; Linhua Jiang (BMC Medical Imaging, 2020)

A weakly supervised framework for abnormal behavior detection and localization in crowded scenes. - Xing Hu 006; Jian Dai; Yingping Huang; Haima Yang; Liang Zhang; Wenming Chen 001; Genke Yang; Dawei Zhang 009 (Neurocomputing, 2020)

Temporal Tensor Local Binary Pattern: A Novel Local Tensor Time Series Descriptor. - Xing Hu 006; Guoqiang Li 001 (IEEE Trans. Ind. Informatics, 2020)

Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. - Hanqi Wang; Xing Hu 006; Liang Song; Guanhua Zhang; Yang Liu 246; Jing Liu 050; Linhua Jiang (ICONIP (1), 2021)

Learning Optical Flow with R-CNN for Visual Odometry. - Yingping Huang; Baigan Zhao; Chong Gao; Xing Hu 006 (ICRA, 2021)

Improved human action recognition approach based on two-stream convolutional neural network model. - Congcong Liu; Jie Ying; Haima Yang; Xing Hu 006; Jin Liu (Vis. Comput., 2021)

HFF-Net: Hierarchical Feature Fusion Network for Point Cloud Generation with Point Transformers. - Ben Fei; Weidong Yang 001; Wenming Chen 001; Lipeng Ma; Xing Hu 006 (ICME, 2022)

A Deep Learning-Based Method for Drivers' Shoe-Wearing Recognition. - Baoyue Hu; Xing Hu 006 (S-CUBE, 2022)

PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things. - Chenhang Dong; Chengxin Pang; Zhengwei Li; Xinhua Zeng; Xing Hu 006 (IEEE Access, 2022)

A deep learning based 2-dimensional hip pressure signals analysis method for sitting posture recognition. - Zhe Fan; Xing Hu 006; Wen-Ming Chen 001; Dawei Zhang 009; Xin Ma (Biomed. Signal Process. Control., 2022)

Networking Systems of AI: On the Convergence of Computing and Communications. - Liang Song; Xing Hu 006; Guanhua Zhang; Petros Spachos; Konstantinos N. Plataniotis; Hequan Wu (IEEE Internet Things J., 2022)

TOP-ALCM: A novel video analysis method for violence detection in crowded scenes. - Xing Hu 006; Zhe Fan; Linhua Jiang; Jiawei Xu; Guoqiang Li 001; Wenming Chen 001; Xinhua Zeng; Genke Yang; Dawei Zhang 009 (Inf. Sci., 2022)

Hyperspectral Anomaly Detection Using Deep Learning: A Review. - Xing Hu 006; Chun Xie; Zhe Fan; Qianqian Duan; Dawei Zhang 009; Linhua Jiang; Xian Wei; Danfeng Hong; Guoqiang Li 001; Xinhua Zeng; Wenming Chen 001; Dongfang Wu; et al. (Remote. Sens., 2022)

Unsupervised Learning of Monocular Depth and Ego-Motion with Optical Flow Features and Multiple Constraints. - Baigan Zhao; Yingping Huang; Wenyan Ci; Xing Hu 006 (Sensors, 2022)

Video anomaly detection based on 3D convolutional auto-encoder. - Xing Hu 006; Jing Lian; Dawei Zhang 009; Xiumin Gao; Linhua Jiang; Wenmin Chen (Signal Image Video Process., 2022)

Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis. - Ben Fei; Weidong Yang 001; Wenming Chen 001; Zhijun Li 001; Yikang Li 002; Tao Ma 002; Xing Hu 006; Lipeng Ma (IEEE Trans. Intell. Transp. Syst., 2022)

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. - Kai Cheng; Xinhua Zeng; Yang Liu 246; Mengyang Zhao; Chengxin Pang; Xing Hu 006 (ICASSP, 2023)

Residual spatial graph convolution and temporal sequence attention network for sign language translation. - Wencheng Xu; Jie Ying; Haima Yang; Jin Liu; Xing Hu 006 (Multim. Tools Appl., 2023)

A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination. - Bobo Ju; Yang Liu 246; Xing Hu 006; Dongfang Zhao 001; Linhua Jiang (Biomed. Signal Process. Control., 2023)

Build a bridge between ECG and EEG signals for atrial fibrillation diagnosis using AI methods. - Moqing Li; Xinhua Zeng; Feng Wu; Yang Chu; Weiguo Wei; Min Fan; Chengxin Pang; Xing Hu 006 (Comput. Biol. Medicine, 2023)

Open Set Intrusion Event Recognition Using Anchor Point Learning for Distributed Optical Fiber System. - Wenyang Jiao; Xing Hu 006; Rohit Gupta; Jing Cheng; Linhua Jiang; Dawei Zhang 009 (IEEE Trans. Instrum. Meas., 2024)

TFF-CNN: Distributed optical fiber sensing intrusion detection framework based on two-dimensional multi-features. - Xing Hu 006; Gengjun Qiu; Hamid Reza Karimi; Dawei Zhang 009 (Neurocomputing, 2024)

Open-set marine object instance segmentation with prototype learning. - Xing Hu 006; Panlong Li; Hamid Reza Karimi; Linhua Jiang; Dawei Zhang 009 (Signal Image Video Process., 2024)

Domain generalization with semi-supervised learning for people-centric activity recognition. - Jing Liu 050; Wei Zhu; Di Li; Xing Hu 006; Liang Song (Sci. China Inf. Sci., 2025)

Dictionary trained attention constrained low rank and sparse autoencoder for hyperspectral anomaly detection. - Xing Hu 006; Zhixuan Li; Lingkun Luo; Hamid Reza Karimi; Dawei Zhang 009 (Neural Networks, 2025)

Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review. - Xing Hu 006; Xiangcheng Liu; Danfeng Hong; Qianqian Duan; Linghua Jiang; Haima Yang; Dawei Zhang 009 (CoRR, 2025)

Bridging Domain Gaps in Agricultural Image Analysis: A Comprehensive Review From Shallow Adaptation to Deep Learning. - Xing Hu 006; Siyuan Chen; Xuming Huang; Qianqian Duan; Lingkun Luo; Ruijiao Li; Huiliang Shang; Linhua Jiang; Jianping Yang; Hamid Reza Karimi; Dawei Zhang 009 (CoRR, 2025)

A Comprehensive Review of Diffusion Models in Smart Agriculture: Progress, Applications, and Challenges. - Xing Hu 006; Haodong Chen; Qianqian Duan; Danfeng Hong; Ruijiao Li; Huiliang Shang; Linghua Jiang; Haima Yang; Dawei Zhang 009 (CoRR, 2025)