| 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 | NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge. | Jie Liang, Radu Timofte, Qiaosi Yi, Zhengqiang Zhang, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Tianyu Hao, Lin Wang, Zhe Xiao, Pengzhou Ji, Shupeng Zhong, Xiangming Wang, Jiaqi Yan, Sishun Pan, Ce Wang, Yibin Huang, Zhang Sheng Wang, Haobo Liang, Zhenghao Pan, Jinjian Wu, Yushen Zuo, Yuanbo Zhou |
| 2025 | DATE | Simultaneous Denoising and Compression for DVS with Partitioned Cache-Like Spatiotemporal Filter. | Qinghang Zhao, Yixi Ji, Jiaqi Wang, Jinjian Wu, Guangming Shi |
| 2025 | ICASSP | SNNPTrack: Spiking Neural Network Based Prompt for High-Accuracy RGBE Tracking. | Yixi Ji, Qinghang Zhao, Yuping Liang, Jinjian Wu |
| 2024 | AAAI | Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment. | Yongxu Liu, Yinghui Quan, Guoyao Xiao, Aobo Li, Jinjian Wu |
| 2024 | AAAI | Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events. | Wen Yang, Jinjian Wu, Jupo Ma, Leida Li, Guangming Shi |
| 2024 | CVPR | Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens. | Zhiwen Chen, Zhiyu Zhu, Yifan Zhang, Junhui Hou, Guangming Shi, Jinjian Wu |
| 2024 | CVPR | Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment. | Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li |
| 2024 | ICCAD | An O(m+n)-Space Spatiotemporal Denoising Filter with Cache-Like Memories for Dynamic Vision Sensors. | Qinghang Zhao, Jiaqi Wang, Yixi Ji, Jinjian Wu, Guangming Shi |
| 2024 | IGARSS | Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification. | Baofa He, Jie Feng, Di Li, Ronghua Shang, Jinjian Wu, Licheng Jiao |
| 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 | MICCAI | Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. | Minhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu |
| 2023 | MICCAI | Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. | Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu |
| 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 | VCIP | Semantic Attribute Guided Image Aesthetics Assessment. | Jiachen Duan, Pengfei Chen, Leida Li, Jinjian Wu, 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 |
| 2021 | IGARSS | Multiple Instance Constrained Energy Minimization for Discriminative Hyperspectral Target Characterization. | Changzhe Jiao, Bo Yang, Jinjian Wu |
| 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 | ICASSP | Denoising of Event-Based Sensors with Spatial-Temporal Correlation. | Jinjian Wu, Chuanwei Ma, Xiaojie Yu, Guangming Shi |
| 2019 | CVPR | Depth Image Quality Assessment for View Synthesis Based on Weighted Edge Similarity. | Leida Li, Xi Chen, Yu Zhou, Jinjian Wu, Guangming Shi |
| 2018 | VCIP | Motion Trajectory based Spatial-Temporal Degradation Measurement for Video Quality Assessment. | Jinjian Wu, Yongxu Liu, Guangming Shi |
| 2017 | ICIP | No-reference image quality assessment with orientation selectivity mechanism. | Jinjian Wu, Man Zhang, Guangming Shi, Xuemei Xie, Weisi Lin |
| 2017 | VCIP | Saliency change based reduced reference image quality assessment. | Jinjian Wu, Yongxu Liu, Guangming Shi, Weisi Lin |
| 2016 | ICASSP | Enhanced just noticeable difference model with visual regularity consideration. | Jinjian Wu, Guangming Shi, Weisi Lin, C.-C. Jay Kuo |
| 2016 | VCIP | Visual information measurement with quality assessment. | Jinjian Wu, Guangming Shi, Man Zhang, Guanmi Chen |
| 2015 | ISCAS | Reduced-reference image quality assessment based on entropy differences in DCT domain. | Yazhong Zhang, Jinjian Wu, Guangming Shi, Xuemei Xie |
| 2014 | ISCAS | Reduced-reference image quality assessment with local binary structural pattern. | Jinjian Wu, Weisi Lin, Guangming Shi, Long Xu |
| 2013 | ISCAS | Visual masking estimation based on structural uncertainty. | Jinjian Wu, Weisi Lin, Guangming Shi |
| 2010 | ICASSP | An improved model of pixel adaptive just-noticeable difference estimation. | Jinjian Wu, Fei Qi, Guangming Shi |
| 2009 | ICASSP | Extracting regions of attention by imitating the human visual system. | Fei Qi, Jinjian Wu, Guangming Shi |