| 2025 | ICASSP | Adaptive Multi-Scale Local Correction for Semi-Supervised 3D Medical Image Segmentation. | Xinqiang Wang, Wenhuan Lu, Ke Zheng, Junhai Xu |
| 2024 | IGARSS | Unsupervised Hyperspectral and Multispectral Image Fusion Based on Deep Adaptive Attention Network. | Haoyang Yu, Chengjun Wang, Jia Jia, Ke Zheng, Yuchao Yang, Yulei Wang, Meiping Song |
| 2024 | IGARSS | Hyperspectral Image Classification via Inverse Mahalanobis Attention Network. | Zhi Li, Ke Zheng, Longfei Ren, Yi Liu, Lianru Gao |
| 2023 | IGARSS | Unsupervised Dynamic Convolutional Neural Network Model for Hyperspectral and Multispectral Image Fusion. | Haoyang Yu, Zhixin Ling, Ke Zheng, Jiaxin Li, Siqi Liang, Lianru Gao |
| 2023 | IGARSS | Interactive Autoencoders With Degradation Constraint For Hyperspectral Super-Resolution. | Jiaxin Li, Ke Zheng, Lianru Gao, Li Ni |
| 2022 | ACCV | Depth Estimation via Sparse Radar Prior and Driving Scene Semantics. | Ke Zheng, Shuguang Li, Kongjian Qin, Zhenxu Li, Yang Zhao, Zhinan Peng, Hong Cheng |
| 2022 | ICASSP | Double Noise Mean Teacher Self-Ensembling Model for Semi-Supervised Tumor Segmentation. | Ke Zheng, Junhai Xu, Jianguo Wei |
| 2021 | IGARSS | A Novel Classification Framework for Hyperspectral Image Classification Based on Multi-Scale Dense Network. | Hao Zhang, Haoyang Yu, Zhen Xu, Ke Zheng, Lianru Gao |
| 2020 | VTC | UAV-assisted Online Video Downloading in Vehicular Networks: A Reinforcement Learning Approach. | Ke Zheng, Yanglong Sun, Zhiping Lin, Yuliang Tang |