A Slime Mold-Ant Colony Fusion Algorithm for Solving Traveling Salesman Problem. - Meijiao Liu; Yanhui Li; Ang Li; Qi Huo; Ning Zhang 025; Nan Qu; Mingchao Zhu; Liheng Chen (IEEE Access, 2020)

Infrared and Visible Image Fusion Using a Deep Unsupervised Framework With Perceptual Loss. - Dongdong Xu 001; Yongcheng Wang 001; Xin Zhang 062; Ning Zhang 025; Sibo Yu (IEEE Access, 2020)

SSDANet: Spectral-Spatial Three-Dimensional Convolutional Neural Network for Hyperspectral Image Classification. - Xin Zhang 062; Yongcheng Wang 001; Ning Zhang 025; Dongdong Xu 001; Huiyuan Luo; Bo Chen; Guangli Ben (IEEE Access, 2020)

An Unsupervised Remote Sensing Single-Image Super-Resolution Method Based on Generative Adversarial Network. - Ning Zhang 025; Yongcheng Wang 001; Xin Zhang 062; Dongdong Xu 001; Xiaodong Wang 019 (IEEE Access, 2020)

Corrections to "A Slime Mold-Ant Colony Fusion Algorithm for Solving Traveling Salesman Problem". - Meijiao Liu; Yanhui Li; Ang Li; Qi Huo; Ning Zhang 025; Nan Qu; Mingchao Zhu; Liheng Chen (IEEE Access, 2021)

Chirp Signal Denoising Based on Convolution Neural Network. - Guangli Ben; Xifeng Zheng; Yongcheng Wang 001; Xin Zhang 062; Ning Zhang 025 (Circuits Syst. Signal Process., 2021)

Spectral-Spatial Fractal Residual Convolutional Neural Network With Data Balance Augmentation for Hyperspectral Classification. - Xin Zhang 062; Yongcheng Wang 001; Ning Zhang 025; Dongdong Xu 001; Huiyuan Luo; Bo Chen; Guangli Ben (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey. - Zheng Li 027; Yongcheng Wang 001; Ning Zhang 025; Yuxi Zhang 003; Zhikang Zhao; Dongdong Xu 001; Guangli Ben; Yunxiao Gao (Remote. Sens., 2022)

Orientation-First Strategy With Angle Attention Module for Rotated Object Detection in Remote Sensing Images. - Yuxi Zhang 003; Yongcheng Wang 001; Ning Zhang 025; Zheng Li 027; Zhikang Zhao; Yunxiao Gao; Dongdong Xu 001; Guangli Ben (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Multi-Degradation Aided Method for Unsupervised Remote Sensing Image Super Resolution With Convolution Neural Networks. - Ning Zhang 025; Yongcheng Wang 001; Xin Zhang 062; Dongdong Xu 001; Xiaodong Wang 019; Guangli Ben; Zhikang Zhao; Zheng Li 027 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Review of Hyperspectral Image Super-Resolution Based on Deep Learning. - Chi Chen 003; Yongcheng Wang 001; Ning Zhang 025; Yuxi Zhang 003; Zhikang Zhao (Remote. Sens., 2023)

RoI Fusion Strategy With Self-Attention Mechanism for Object Detection in Remote Sensing Images. - Yuxi Zhang 003; Yongcheng Wang 001; Ning Zhang 025; Zheng Li 027; Zhikang Zhao; Yunxiao Gao; Chi Chen 003; Hao Feng 008 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Information Leakage in Deep Learning-Based Hyperspectral Image Classification: A Survey. - Hao Feng 008; Yongcheng Wang 001; Zheng Li 027; Ning Zhang 025; Yuxi Zhang 003; Yunxiao Gao (Remote. Sens., 2023)

A method of degradation mechanism-based unsupervised remote sensing image super-resolution. - Zhikang Zhao; Yongcheng Wang 001; Ning Zhang 025; Yuxi Zhang 003; Zheng Li 027; Chi Chen 003 (Image Vis. Comput., 2024)

Hypergraph neural network for remote sensing hyperspectral image super-resolution. - Chi Chen 003; Yongcheng Wang 001; Yuxi Zhang 003; Ning Zhang 025; Hao Feng 008; Dongdong Xu 001 (Knowl. Based Syst., 2025)