| 2026 | AAAI | NODiff: Neural Operator Diffusion for Multispectral Image Fusion. | Junming Hou, Ran Ran, Sixing Chen, Zihao Chen, Xiaofeng Cong, Junling Li, Liang-Jian Deng |
| 2026 | AAAI | SWIFT：A General Sensitive Weight Identification Framework for Fast Sensor-Transfer Pansharpening. | Zeyu Xia, Chenxi Sun, Tianyu Xin, Yubo Zeng, Haoyu Chen, Liang-Jian Deng |
| 2026 | AAAI | Training and Inference Within 1 Second - Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring. | Tianyu Xin, Jin-Liang Xiao, Zeyu Xia, Shan Yin, Liang-Jian Deng |
| 2025 | AAAI | OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion. | Shangqi Deng, Jun Ma, Liang-Jian Deng, Ping Wei |
| 2025 | AAAI | Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. | Jie Huang, Rui Huang, Jinghao Xu, Siran Peng, Yule Duan, Liang-Jian Deng |
| 2025 | AAAI | PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening. | RuoCheng Wu, Zien Zhang, Shangqi Deng, Yule Duan, Liang-Jian Deng |
| 2025 | CVPR | Binarized Neural Network for Multi-spectral Image Fusion. | Junming Hou, Xiaoyu Chen, Ran Ran, Xiaofeng Cong, Xinyang Liu, Jian Wei You, Liang-Jian Deng |
| 2025 | CVPR | Adaptive Rectangular Convolution for Remote Sensing Pansharpening. | Xueyang Wang, Zhixin Zheng, Jiandong Shao, Yule Duan, Liang-Jian Deng |
| 2025 | CVPR | Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance. | Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Guang Lin, Zihan Cao, Chao Li, Qibin Zhao |
| 2025 | EMNLP | A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making. | Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie |
| 2025 | ICCV | Taming Flow Matching With Unbalanced Optimal Transport Into Fast Pansharpening. | Zihan Cao, Yu Zhong, Liang-Jian Deng |
| 2025 | ICCV | MMAIF: Multi-Task and Multi-Degradation All-in-One for Image Fusion with Language Guidance. | Zihan Cao, Yu Zhong, Ziqi Wang, Liang-Jian Deng |
| 2024 | AAAI | Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. | Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li |
| 2024 | CVPR | Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. | Yule Duan, Xiao Wu, Haoyu Deng, Liang-Jian Deng |
| 2024 | ICML | Exploring the Low-Pass Filtering Behavior in Image Super-Resolution. | Haoyu Deng, Zijing Xu, Yule Duan, Xiao Wu, Wenjie Shu, Liang-Jian Deng |
| 2024 | IGARSS | A Novel Fidelity Based on the Adaptive Domain for Pansharpening. | Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Ting Xu |
| 2023 | IJCAI | Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. | Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen |
| 2023 | IJCAI | LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. | Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng |
| 2022 | AAAI | LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. | Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng |
| 2022 | APNOMS | Construction Method of Overlay Network for Cyber-Physical System. | Liang-Jian Deng, Yubing Chen, Lichen Zhang |
| 2022 | IGARSS | Context-Aware Element Filter for Hyperspectral Image Super-Resolution. | Ran Ran, Liang-Jian Deng, Chen-Yu Zhao |
| 2022 | IGARSS | Cross-Frequency Detail Compensation Network for Pansharpening. | Xiao-Nan Zhao, Chen-Yu Zhao, Tian-Jing Zhang, Liang-Jian Deng |
| 2022 | IJCAI | SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. | Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng |
| 2022 | IJCAI | Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening. | Siran Peng, Liang-Jian Deng, Jin-Fan Hu, Yu-Wei Zhuo |
| 2022 | IJCAI | A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. | Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang |
| 2021 | ICCV | Dynamic Cross Feature Fusion for Remote Sensing Pansharpening. | Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang |
| 2021 | IGARSS | Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening. | Shishi Xiao, Cheng Jin, Tian-Jing Zhang, Ran Ran, Liang-Jian Deng |
| 2021 | IGARSS | A Variational Approach with Nonlocal Self-Similarity and Joint-Sparsity for Hyperspectral Image Super-Resolution. | Ting Xu, Ting-Zhu Huang, Yong Chen, Jie Huang, Liang-Jian Deng |
| 2021 | IGARSS | Weighted Shallow-Deep Feature Fusion Network for Pansharpening. | Zi-Rong Jin, Tian-Jing Zhang, Cheng Jin, Liang-Jian Deng |
| 2019 | ICIP | Rain Streaks Removal for Single Image Via Directional Total Variation Regularization. | Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Tai-Xiang Jiang |
| 2019 | IGARSS | Pan-Sharpening Via RoG-Based Filtering. | Ziyao Zhang, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, Hong-Xia Dou |
| 2019 | IGARSS | Unidirectional Sparse Tensor Based Model for the Noise Removal of Remote Sensing Image. | Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Ziyao Zhang |
| 2017 | CVPR | A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. | Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang |
| 2017 | ICIP | A variational pansharpening approach based on reproducible kernel Hilbert space and heaviside function. | Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot |
| 2017 | ICIP | Stripe noise removal of remote sensing image with a directional l0 sparse model. | Hong-Xia Dou, Ting-Zhu Huang, Liang-Jian Deng, Yong Chen |
| 2017 | ICIP | Image fusion via dynamic gradient sparsity and anisotropic spectral-spatial total variation. | Chao-Chao Zheng, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Hong-Xia Dou |
| 2015 | MMSP | Heaviside image edge sharpening. | Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang, Xi-Le Zhao |