How to fully explore the low-rank property for data recovery of hyperspectral images. - Shaohui Mei; Qianqian Bi; Jingyu Ji; Junhui Hou; Qian Du 001 (IGARSS, 2016)

Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification. - Shaohui Mei; Jingyu Ji; Qianqian Bi; Junhui Hou; Qian Du 001; Wei Li 032 (IGARSS, 2016)

Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis. - Shaohui Mei; Qianqian Bi; Jingyu Ji; Junhui Hou; Qian Du 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification. - Jingyu Ji; Shaohui Mei; Xiao Liu; Xu Li 010; Shan Zeng; Zhiyong Wang 001 (DICTA, 2017)

Exploring the influence of feature representation for dictionary selection based video summarization. - Mingyang Ma; Shaohui Mei; Jingyu Ji; Shuai Wan; Zhiyong Wang 001; Dagan Feng 001 (ICIP, 2017)

Hyperspectral image super-resolution via convolutional neural network. - Shaohui Mei; Xin Yuan 002; Jingyu Ji; Shuai Wan; Junhui Hou; Qian Du 001 (ICIP, 2017)

Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoder. - Jingyu Ji; Shaohui Mei; Junhui Hou; Xu Li 010; Qian Du 001 (IGARSS, 2017)

Fusing different levels of deep features by deep stacked neural network for hyperspectral images. - Shaohui Mei; Yanfu Chen; Jingyu Ji; Junhui Hou; Qian Du 001 (IGARSS, 2017)

Invariant feature extraction for image classification via multi-channel convolutional neural network. - Shaohui Mei; Ruoqiao Jiang; Jingyu Ji; Jun Sun; Yang Peng; Yifan Zhang 006 (ISPACS, 2017)

Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network. - Shaohui Mei; Xin Yuan 002; Jingyu Ji; Yifan Zhang 006; Shuai Wan; Qian Du 001 (Remote. Sens., 2017)

Hyperspectral Image Classification by Exploring Low-Rank Property in Spectral or/and Spatial Domain. - Shaohui Mei; Qianqian Bi; Jingyu Ji; Junhui Hou; Qian Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks. - Shaohui Mei; Jingyu Ji; Junhui Hou; Xu Li 010; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

FPGA Based Implementation of Convolutional Neural Network for Hyperspectral Classification. - Xiaofeng Chen; Jingyu Ji; Shaohui Mei; Yifan Zhang 006; Manli Han; Qian Du 001 (IGARSS, 2018)

Hyperspectral Classification Via Spatial Context Exploration with Multi-Scale CNN. - Zhongqi Tian; Jingyu Ji; Shaohui Mei; Junhui Hou; Shuai Wan; Qian Du 001 (IGARSS, 2018)

Decs-Net: Convolutional Self-Encoding Network for Hyperspectral Image Denoising. - Xiao Liu; Shaohui Mei; Zhi Zhang; Yifan Zhang 006; Jingyu Ji; Qian Du 001 (IGARSS, 2019)

Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification. - Shaohui Mei; Jingyu Ji; Yunhao Geng; Zhi Zhang; Xu Li 010; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

End to End Infrared and Visible Image Fusion With Texture Details and Contrast Information. - Jingyu Ji; Yuhua Zhang; Zhilong Lin; Yongke Li; Changlong Wang; Yongjiang Hu; Fuyu Huang; Jiangyi Yao (IEEE Access, 2022)

Fusion of Infrared and Visible Images Based on Three-Scale Decomposition and ResNet Feature Transfer. - Jingyu Ji; Yuhua Zhang; Yongjiang Hu; Yongke Li; Changlong Wang; Zhilong Lin; Fuyu Huang; Jiangyi Yao (Entropy, 2022)

Infrared and Visible Image Fusion Based on Iterative Control of Anisotropic Diffusion and Regional Gradient Structure. - Jingyu Ji; Yuhua Zhang; Zhilong Lin; Yongke Li; Changlong Wang; Yongjiang Hu; Jiangyi Yao (J. Sensors, 2022)

Path Planning of Unmanned Helicopter in Complex Dynamic Environment Based on State-Coded Deep Q-Network. - Jiangyi Yao; Xiongwei Li; Yang Zhang 027; Jingyu Ji; Yanchao Wang; Yicen Liu (Symmetry, 2022)

Multi-model fusion method for predicting CO2 concentration in greenhouse tomatoes. - Jianjun Guo; Beibei Zhang; Lijun Lin; Yudian Xu; Piao Zhou; Shangwen Luo; Yuhan Zhuo; Jingyu Ji; Zhijie Luo; Shahbaz Gul Hassan (Comput. Electron. Agric., 2024)

A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. - Hanhua Zou; Sanyou Zeng; Changhe Li; Jingyu Ji (Eng. Appl. Artif. Intell., 2024)

Autonomous Navigation Control of Tracked Unmanned Vehicle Formation in Communication Restricted Environment. - Jiangyi Yao; Xiongwei Li; Yang Zhang; Kaiyan Chen; Danyang Zhang; Jingyu Ji (IEEE Trans. Veh. Technol., 2024)

Dense small object detection algorithm for unmanned aerial vehicle remote sensing images in complex backgrounds. - Jingyu Ji; Yuefei Zhao; Aihua Li; Xiaolin Ma; Changlong Wang; Zhilong Lin (Digit. Signal Process., 2025)

EFR-ACENet: Small object detection for remote sensing images based on explicit feature reconstruction and adaptive context enhancement. - Jingyu Ji; Yuefei Zhao; Aihua Li; Xiaolin Ma; Changlong Wang; Zhilong Lin (Eng. Appl. Artif. Intell., 2025)

Obstacle Avoidance Control for Unmanned Tracked Vehicle Formation With Communication Constraints. - Jiangyi Yao; Xiongwei Li; Yang Zhang; Jingyu Ji; Guoquan Ren; Zhigang Ren (IEEE Trans Autom. Sci. Eng., 2025)

FCMA-Det: Low-Light Image Object Detection Based on Feature Complementarity and Multicontent Aggregation. - Jingyu Ji; Yuefei Zhao; Yuhua Zhang; Xiaotong Zuo; Changlong Wang; Fengming Shi (IEEE Trans. Geosci. Remote. Sens., 2025)