| 2025 | AAAI | Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization. | Mingtao Feng, Fenghao Tian, Jianqiao Luo, Zijie Wu, Weisheng Dong, Yaonan Wang, Ajmal Saeed Mian |
| 2025 | AAAI | Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring. | Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi |
| 2025 | CVPR | Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection. | Jinghao Bian, Mingtao Feng, Weisheng Dong, Fangfang Wu, Jianqiao Luo, Yaonan Wang, Guangming Shi |
| 2025 | CVPR | Parameterized Blur Kernel Prior Learning for Local Motion Deblurring. | Zhenxuan Fang, Fangfang Wu, Tao Huang, Le Dong, Weisheng Dong, Xin Li, Guangming Shi |
| 2025 | CVPR | Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes. | Zhou Yang, Mingtao Feng, Tao Huang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi |
| 2025 | CVPR | Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation. | Qitong Yang, Mingtao Feng, Zijie Wu, Weisheng Dong, Fangfang Wu, Yaonan Wang, Ajmal Mian |
| 2025 | ICASSP | Bridging Task Boundaries: Remote Sensing Image-Text Retrieval via Dictionary-Driven Adaptation. | Junwei Xu, Tao Huang, Zhenyu Wang, Weisheng Dong, Xin Li |
| 2025 | ICCV | Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization. | Mingtao Feng, Longlong Mei, Zijie Wu, Jianqiao Luo, Fenghao Tian, Jie Feng, Weisheng Dong, Yaonan Wang |
| 2025 | IJCAI | PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing. | Zhechun Liang, Tao Huang, Fangfang Wu, Shiwen Xue, Zhenyu Wang, Weisheng Dong, Xin Li, Guangming Shi |
| 2025 | MICCAI | High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation. | Le Dong, Jinghao Bian, Jingyang Hou, Jingliang Hu, Yilei Shi, Weisheng Dong, Xiaoxiang Zhu, Lichao Mou |
| 2024 | AAAI | Inverse Weight-Balancing for Deep Long-Tailed Learning. | Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi |
| 2024 | ECCV | External Knowledge Enhanced 3D Scene Generation from Sketch. | Zijie Wu, Mingtao Feng, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian |
| 2024 | IGARSS | Hyperspectral Image Denoising Based on Nonlocal Memory-Augmented Spectral Attention. | Yige Mo, Le Dong, Weitong Zhang, Junpeng Zhang, Weisheng Dong |
| 2023 | CVPR | Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring. | Zhenxuan Fang, Fangfang Wu, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi |
| 2023 | CVPR | TFRGAN: Leveraging Text Information for Blind Face Restoration with Extreme Degradation. | Chengxing Xie, Qian Ning, Weisheng Dong, Guangming Shi |
| 2023 | CVPR | Vector Quantization with Self-Attention for Quality-Independent Representation Learning. | Zhou Yang, Weisheng Dong, Xin Li, Mengluan Huang, Yulin Sun, Guangming Shi |
| 2023 | ICCV | Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention. | Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi |
| 2022 | AAAI | Robust Depth Completion with Uncertainty-Driven Loss Functions. | Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi |
| 2022 | ECCV | Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution. | Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi |
| 2022 | ECCV | Self-feature Distillation with Uncertainty Modeling for Degraded Image Recognition. | Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi |
| 2022 | IJCAI | Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution. | Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi |
| 2022 | IGARSS | Supervised Contrastive Learning-Based Deep Hash Retrieval for Remote Sensing Image. | Mengluan Huang, Le Dong, Weisheng Dong, Guangming Shi |
| 2022 | VCIP | Robust Dynamic Background Modeling for Foreground Estimation. | Qian Ning, Fangfang Wu, Weisheng Dong, Jinjian Wu, Guangming Shi, Xin Li |
| 2021 | CVPR | Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. | Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi |
| 2021 | ICCV | Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment. | Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi |
| 2020 | AAAI | Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation. | Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi |
| 2020 | CVPR | MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment. | Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi |
| 2020 | IJCAI | Beyond Network Pruning: a Joint Search-and-Training Approach. | Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi |
| 2018 | ICPR | Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising. | Tao Huang, Fangfang Wu, Weisheng Dong, Guangming Shi, Xin Li |
| 2015 | ICCV | Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. | Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma |
| 2015 | ICCV | Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding. | Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie |
| 2014 | ICASSP | Sparsity fine tuning in wavelet domain with application to compressive image reconstruction. | Weisheng Dong, Xiaolin Wu, Guangming Shi |
| 2014 | ICIP | Image restoration via Bayesian structured sparse coding. | Weisheng Dong, Xin Li, Yi Ma, Guangming Shi |
| 2013 | ICIG | SAR Image Quality Assessment Based on SSIM Using Textural Feature. | Shuhong Jiao, Weisheng Dong |
| 2011 | CVPR | Sparsity-based image denoising via dictionary learning and structural clustering. | Weisheng Dong, Xin Li, Lei Zhang, Guangming Shi |
| 2011 | ICCV | Centralized sparse representation for image restoration. | Weisheng Dong, Lei Zhang, Guangming Shi |
| 2011 | ICIP | Sparsity-based image deblurring with locally adaptive and nonlocally robust regularization. | Weisheng Dong, Xin Li, Lei Zhang, Guangming Shi |
| 2010 | ISCAS | Live demonstration: Spatial-temporal color video reproduction from noisy CFA sequence track: Digital signal processing. | Lei Zhang, Weisheng Dong, Chiu-Wai Hui, Xiaolin Wu, Guangming Shi |
| 2010 | VCIP | Super-resolution with nonlocal regularized sparse representation. | Weisheng Dong, Guangming Shi, Lei Zhang, Xiaolin Wu |
| 2009 | ICIP | Context-based bias removal of statistical models of wavelet coefficients for image denoising. | Weisheng Dong, Xiaolin Wu, Guangming Shi, Lei Zhang |
| 2009 | ICIP | Nonlocal back-projection for adaptive image enlargement. | Weisheng Dong, Lei Zhang, Guangming Shi, Xiaolin Wu |
| 2009 | MMSP | Learning-based recovery of compressive sensing with application in multiple description coding. | Fangfang Wu, Guangming Shi, Weisheng Dong, Xiaolin Wu |
| 2008 | ISCAS | Signal-adapted directional lifting scheme for image compression. | Weisheng Dong, Guangming Shi, Jizheng Xu |
| 2006 | ICNC | A New Fast Algorithm for Training Large Window Stack Filters. | Guangming Shi, Weisheng Dong, Li Zhang, Jin Pan |