Fast algorithm based on sole- and multi-depth measurements for HEVC intra coding. - Gang He 002; Jing Hu 005; Yunsong Li 001; Wenxin Yu 001 (ICIP, 2016)

Fast algorithm based on the sole- and multi-depth texture measurements for HEVC intra coding. - Jing Hu 005; Gang He 002; Yunsong Li 001 (J. Vis. Commun. Image Represent., 2016)

A spatial constraint and deep learning based hyperspectral image super-resolution method. - Jing Hu 005; Yunsong Li 001; Xi Zhao; Weiying Xie (IGARSS, 2017)

Hyperspectral image super-resolution using deep convolutional neural network. - Yunsong Li 001; Jing Hu 005; Xi Zhao; Weiying Xie; Jiaojiao Li 001 (Neurocomputing, 2017)

Human fixation detection model in video compressed domain based on Markov random field. - Yongjun Li; Yunsong Li 001; Weijia Liu; Jing Hu 005; Chiru Ge (J. Electronic Imaging, 2017)

Fast mode decision and PU size decision algorithm for intra depth coding in 3D-HEVC. - Gang He 002; Jing Hu 005; Yunsong Li 001; Wenxin Yu 001; Zhuo Yang; Peikun Liu; Ruixue Guo (J. Vis. Commun. Image Represent., 2017)

Hyperspectral Image Super-Resolution by Spectral Difference Learning and Spatial Error Correction. - Jing Hu 005; Yunsong Li 001; Weiying Xie (IEEE Geosci. Remote. Sens. Lett., 2017)

Scalable Video Coding Based on User's View for Real-Time Virtual Reality Applications. - Gang He 002; Jing Hu 005; Hao Jiang 014; Yunsong Li 001 (IEEE Commun. Lett., 2018)

Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network. - Jiaojiao Li 001; Xi Zhao; Yunsong Li 001; Qian Du 001; Bobo Xi; Jing Hu 005 (IEEE Geosci. Remote. Sens. Lett., 2018)

Trainable spectral difference learning with spatial starting for hyperspectral image denoising. - Weiying Xie; Yunsong Li 001; Jing Hu 005; Duan-Yu Chen (Neural Networks, 2018)

Deep Spatial-Spectral Information Exploitation for Rapid Hyperspectral Image Super-Resolution. - Jing Hu 005; Yunsong Li 001; Minghua Zhao; Yaling Zhang (IGARSS, 2019)

Blur Feature Extraction Plus Automatic KNN Matting: A Novel Two Stage Blur Region Detection Method for Local Motion Blurred Images. - Minghua Zhao; Dan Li 022; Zhenghao Shi; Shuangli Du; Peng Li 036; Jing Hu 005 (IEEE Access, 2019)

Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation. - Jing Hu 005; Minghua Zhao; Yunsong Li 001 (Remote. Sens., 2019)

Correction: Hu, J., et al. Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation. Remote Sensing 2019, 11, 1229. - Jing Hu 005; Minghua Zhao; Yunsong Li 001 (Remote. Sens., 2019)

Deep Intra Fusion for Hyperspectral Image Super-Resolution. - Jing Hu 005; Huilin Chen; Minghua Zhao; Yunsong Li 001 (IGARSS, 2020)

Hyperspectral Image Super-Resolution via Intrafusion Network. - Jing Hu 005; Xiuping Jia; Yunsong Li 001; Gang He 002; Minghua Zhao (IEEE Trans. Geosci. Remote. Sens., 2020)

Research on Defect Location Method of C Language Code Based on Deep Learning. - Yaling Zhang; Jie Zhou; Jing Hu 005 (ICCSE, 2021)

Hyperspectral Anomaly Detection via Local Gradient Guidance. - Jing Hu 005; Yujing Zhang; Minghua Zhao; Jiawei Ning; Min Zhang 015; Yunsong Li 001 (IGARSS, 2021)

A pyramid non-local enhanced residual dense network for single image de-raining. - Minghua Zhao; Hengrui Fan; Shuangli Du; Li Wang; Peng Li 036; Jing Hu 005 (IET Image Process., 2021)

Salient target detection in hyperspectral image based on visual attention. - Minghua Zhao; Liqin Yue; Jing Hu 005; Shuangli Du; Peng Li 036; Li Wang (IET Image Process., 2021)

Hyperspectral Image Super-Resolution under the Guidance of Deep Gradient Information. - Minghua Zhao; Jiawei Ning; Jing Hu 005; Tingting Li (Remote. Sens., 2021)

Hyperspectral Image Superresolution via Deep Structure and Texture Interfusion. - Jing Hu 005; Tingting Li; Minghua Zhao; Jiawei Ning (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A two-stage method for single image de-raining based on attention smoothed dilated network. - Shuangli Du; Hengrui Fan; Minghua Zhao; Haomai Zong; Jing Hu 005; Peng Li 036 (IET Image Process., 2022)

Spatial-Spectral Extraction for Hyperspectral Anomaly Detection. - Jing Hu 005; Yujing Zhang; Minghua Zhao; Peng Li 036 (IEEE Geosci. Remote. Sens. Lett., 2022)

Attention-Driven Dual Feature Guidance for Hyperspectral Super-Resolution. - Minghua Zhao; Jiawei Ning; Jing Hu 005; Tingting Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep-block network for AU recognition and expression migration. - Minghua Zhao; Yuxing Zhi; Fei Yuan; Junhuai Li; Jing Hu 005; Shuangli Du; Zhenghao Shi (Multim. Tools Appl., 2023)

A Gated Content-Oriented Residual Dense Network for Hyperspectral Image Super-Resolution. - Jing Hu 005; Tingting Li; Minghua Zhao; Fei Wang; Jiawei Ning (Remote. Sens., 2023)

Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection. - Jiahao Lyu 001; Minghua Zhao; Jing Hu 005; Xuewen Huang; Shuangli Du; Cheng Shi 002; Zhiyong Lv (CoRR, 2024)

A Method for Removing Reflections from Water Surface Images Based on Pre-trained Image Restoration. - Minghua Zhao; Rui Zhi; Shuangli Du; Jing Hu 005; Cheng Shi 002; Lin Wang (ICASSP, 2025)

Gaussian-Inspired Attention Mechanism for Hyperspectral Anomaly Detection. - Ruike Wang; Jing Hu 005 (IEEE Geosci. Remote. Sens. Lett., 2025)

HTC-HAD: A Hybrid Transformer-CNN Approach for Hyperspectral Anomaly Detection. - Minghua Zhao; Wen Zheng; Jing Hu 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Band-Selected and Regularized Network for Hyperspectral Anomaly Detection. - Jing Hu 005; Wen Zheng; Ruike Wang; Minghua Zhao (IEEE Trans. Instrum. Meas., 2025)

VADMamba: Exploring State Space Models for Fast Video Anomaly Detection. - Jiahao Lyu 001; Minghua Zhao; Jing Hu 005; Xuewen Huang; Yifei Chen; Shuangli Du (CoRR, 2025)

Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention. - Jiahao Lyu 001; Minghua Zhao; Jing Hu 005; Runtao Xi; Xuewen Huang; Shuangli Du; Cheng Shi 002; Tian Ma (Pattern Recognit., 2026)