部分代表性论文：

2024年：

1. Aobo Li, Jinjian Wu*, et al . "Distortion-Guided Domain Generalization for Blind Image Quality Assessment", CVPR 2024. (A类)
2. Zhiwen Chen, Zhiyu Zhu, Yifan Zhang, Junhui Hou, Guangming Shi, Jinjian Wu, "Segment Any Events via Weighted Adaptation of Pivotal Tokens", CVPR 2024. (A类)
3. Wen Yang, Jinjian Wu*, et al . "Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events", AAAI 2024. (A类)
4. Yongxu Liu, Yinghui Quan, Guoyao Xiao, Aobo Li, Jinjian Wu*. "Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment", AAAI 2024. (A类)
5. Jie Feng, Ziyu Zhou, Ronghua Shang, Jinjian Wu, et al . "Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, 2024. (一区)
6. Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Ke Gu, Jinjian Wu, "Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation", IEEE Transactions on Multimedia, 2024. (一区)

2023年：

1. Yongwei Mao, Jinjian Wu* et al. "Transfer learning for just noticeable difference estimation." Information Sciences, 2023. (一区)
2. Wen Yang, Jinjian Wu*, et al. "Event-based Motion Deblurring with Modality-Aware Decomposition and Recomposition"，ACMMM, 2023. (A类)
3. Zhaoxin Liu, Jinjian Wu*, et al. "Motion-Oriented Hybrid Spiking Neural Networks for Event-based Motion Deblurring." IEEE Transactions on Circuits and Systems for Video Technology, 2023. (一区)
4. Anjing Guo, Jupo Ma, Renwei Dian, Fuyan Ma, Jinjian Wu*, et al. "Surface defect detection competition with a bio-inspired vision sensor." National Science Review, 2023 (一区)
5. Bo Yang, Yi He, Changzhe Jiao, Xiao Pan, Guozhen Wang, Lei Wang, Jinjian Wu*. "Multiple Instance Metric Learning Network for Hyperspectral Target Detection." IEEE Transactions on Geoscience and Remote Sensing, 2023. (一区)
6. Zhiwen Chen, Jinjian Wu*, et al . "ECSNet: Spatio-Temporal Feature Learning for Event Camera." IEEE Transactions on Circuits and Systems for Video Technology, 2023. (一区)
7. Yongxu Liu, Jinjian Wu*, et al . "Quality Assessment of UGC Videos Based on Decomposition and Recomposition." IEEE Transactions on Circuits and Systems for Video Technology, 2023. (一区)
8. Chaohua Wang, Weisheng Dong, Xin Li, Fangfang Wu, Jinjian Wu, et al. "Memory Based Temporal Fusion Network for Video Deblurring." International Journal of Computer Vision, 2023. (A类)
9. Xin Li, Weisheng Dong, Jinjian Wu, et al. "Super-resolution Image Reconstruction: Selective milestones and open problems." IEEE Signal Processing Magazine, 2023. (一区)
10. Tao Huang, Xin Yuan, Weisheng Dong, Jinjian Wu, et al. "Deep Gaussian Scale Mixture Prior for Image Reconstruction." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (一区)
11. Weisheng Dong, Jinjian Wu, et al. "Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation." IEEE Signal Processing Magazine, 2023. (一区)
12. Zhenxuan Fang, Fangfang Wu, Weisheng Dong, Xin Li, Jinjian Wu, et al. "Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring", CVPR 2023. (A类)
13. Xiaotong Lu, Weisheng Dong, Xin Li, Jinjian Wu, et al. "Adaptive Search-and-Training for Robust and Efficient Network Pruning." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (一区)
14. Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, "Searching Efficient Model-Guided Deep Network for Image Denoising." IEEE Transactions on Image Processing, 2023. (一区)
15. Tianshu Song, Leida Li, Jinjian Wu, et al . "Knowledge-Guided Blind Image Quality Assessment With Few Training Samples." IEEE Transactions on Multimedia, 2023. (一区)

2022年：

1. Wen Yang, Jinjian Wu^*, et al, "Fine-Grained Image Quality Caption With Hierarchical Semantics Degradation," IEEE Transactions on Image Processing. (PDF)(一区)
2. Zhiwen Chen, Jinjian Wu^*, et al, "ECSNet: Spatio-Temporal Feature Learning for Event Camera," IEEE Transactions on Circuits Systems for Video Technology. (一区)
3. Huachen Fang, Jinjian Wu^*, et al, "AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data", ACMMM, 2022. (A类，Oral)
4. Wen Yang, Jinjian Wu^*, et al, "Learning for Motion Deblurring with Hybrid Frames and Events", ACMMM, 2022. (A类)
5. Aobo Li, Jinjian Wu^*, et al, "Blind image quality assessment based on progressive multi-task  learning," Neurocomputing. (PDF)(CODE)(二区)
6. Changzhe Jiao, Bo Yang, Qi Wang, Guozhen Wang, Jinjian Wu^*, et al, "Discriminative Multiple-Instance Hyperspectral Subpixel Target Characterization," IEEE Transactions on Geoscience and Remote Sensing. (PDF)(二区)
7. Jinhui Hou, Zhiyu Zhu, Junhui Hou, Huanqiang Zeng, Jinjian Wu, et al, "Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution," IEEE Transactions on Image Processing. (一区)
8. Pengfei Chen, Leida Li, Jinjian Wu, et al, "Contrastive Self-Supervised Pre-Training for Video Quality Assessment," IEEE Transactions on Image Processing. (一区)
9. Hancheng Zhu, Leida Li, Jinjian Wu, et al, "Generalizable No-Reference Image Quality Assessment via Deep Meta-Learning," IEEE Transactions on Circuits Systems for Video Technology. (一区)
10. Yuan Cao, Guangming Shi, Tianzhu Zhang, Weisheng Dong, Jinjian Wu, et al, "Bayesian Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking," IEEE Transactions on Circuits Systems for Video Technology. (一区)
11. Hancheng Zhu, Leida Li, Jinjian Wu, et al, "Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization," IEEE Transactions on Cybernetics. (一区)
12. Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, et al, "Robust Depth Completion with Uncertainty-Driven Loss Functions," AAAI 2022. (A类)

2021年：

1. Yongxu Liu, Jinjian Wu^*, et al, "Spatiotemporal Representation Learning for Blind Video Quality Assessment," IEEE Transactions on Circuits Systems for Video Technology. (PDF)(CODE) (An efficient spatiotemporal encoder for VQA, and an extension version of ACMMM 2021.)(一区)
2. Yongxu Liu, Jinjian Wu^*, et al, "Video Quality Assessment with Serial Dependence Modeling," IEEE Transactions on Multimedia. (PDF)(CODE) (The mechanism of serial dependence perception is introduced to guide the modeling of VQA.)(一区)
3. Jupo Ma, Jinjian Wu^*, et al, "Blind Image Quality Assessment With Active Inference," IEEE Transactions on Image Processing. (PDF) (CODE)(The primary visual information from internal generative mechanism (IGM) is adopted as the guidance for BIQA.)(一区)
4. Jinjian Wu^*, et al, "Blind image quality prediction with hierarchical feature aggregation," Information Sciences. (PDF) (一区)
5. Yongxu Liu, Jinjian Wu^*, et al, "No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble," ACMMM 2021. (PDF) (A类)
6. Wen Yang, Jinjian Wu^*, et al, "Image Quality Caption with Attentive and Recurrent Semantic Attractor Network," ACMMM 2021. (PDF) (A类)
7. Zhaoxin Liu, Bangbo Huang, Jinjian Wu^*, et al, "Lightweight Convolutional SNN for Address Event Representation Signal Recognition," CICIA International Conference on Artifical Intelligence (CICAI 2021). (Best Student Paper Finalist)
8. Pengfei Chen, Leida Li, Jinjian Wu, et al, "Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting," IEEE Transactions on Image Processing. (一区)
9. Weisheng Dong, Chen Zhou, Fangfang Wu, Jinjian Wu, et al, "Model-Guided Deep Hyperspectral Image Super-Resolution," IEEE Transactions on Image Processing. (一区)
10. Leida Li, Yu Zhou, Jinjian Wu, et al, "Quality Index for View Synthesis by Measuring Instance Degradation and Global Appearance," IEEE Transactions on Multimedia. (一区)
11. Leida Li, Yipo Huang, Jinjian Wu, et al, "Predicting the Quality of View Synthesis With Color-Depth Image Fusion," IEEE Transactions on Circuits and Systems for Video Technology. (一区)

2020年：

1. Jinjian Wu, et al, “End-to-End Blind Image Quality Prediction with Cascaded Deep Neural Network”, IEEE Transactions on Image Processing. (PDF) (CODE) (Dataset) (A large dataset with 1 million images is bulit for deep learning based IQA.)(一区)
2. Jinjian Wu, et al, “Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor”, IEEE Transactions on Multimedia. (PDF) (CODE) (The pioneer work of denoise on AER signal from DVS.)(一区)
3. Jupo Ma, Jinjian Wu*, et al, “Active Inference of GAN for No-Reference Image Quality Assessment”, IEEE ICME 2020. 
4. Jinjian Wu, et al, “Denoising of Event-Based Sensors with Spatial-Temporal Correlation”, IEEE ICASSP 2020.
5. Leida Li, Xi Chen, Jinjian Wu, et al, “No-reference quality index of depth images based on statistics of edge profiles for view synthesis”, Information Sciences. (一区)
6. Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, et al, “Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation”, AAAI 2020. (A类)
7. Hancheng Zhu, Leida Li, Jinjian Wu, et al, “MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment”, CVPR 2020. (A类)
8. Pengfei Chen, Leida Li, Lei Ma, Jinjian Wu, et al, “RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment”, ACMMM 2020. (A类)

2019年：

1. Jinjian Wu, et al, “Quality Assessment for Video with Degradation Along Salient Trajectories”, IEEE Transactions on Multimedia. (PDF) (CODE) (Degradation along motion trajectory plays a dominant role in VQA.)(一区)
2. Jinjian Wu, et al, “No-Reference Image Quality Assessment with Visual Pattern Degradation”, Information Sciences.(一区)
3. Jinjian Wu, et al, “End-to-End Blind Image Quality Assessment with Cascaded Deep Features”, IEEE ICME 2019.
4. Yu Zhou, Leida Li, Shiqi Wang, Jinjian Wu, et al, “No-Reference Quality Assessment for View Synthesis Using DoG-Based Edge Statistics and Texture Naturalness”, IEEE Transactions on Image Processing.(一区)

2018年及以前：

1. Jinjian Wu, et al, “Enhanced Just Noticeable Difference Model for Images with Pattern Complexity”, IEEE Transactions on Image Processing, Vol.26, No.6, pp.2682-2693, June 2017.(PDF) (CODE) (Pattern complexity directly affects the perceptual visibility on visual content)(一区)
2. Jinjian Wu, et al, “Orientation Selectivity based Visual Pattern for Reduced-Reference Image Quality Assessment”, Information Science, vol.351, pp.18-29, July 2016. (PDF) (CODE) (Quality degradation is effectively represented by changes on several visual patterns) (一区)
3. Jinjian Wu, et al, “Visual Orientation Selectivity based Structure Description”, IEEE Transactions on Image Processing, Vol.24, No.11, pp.4602-4613, Nov.2015. (PDF) (CODE) (The primary visual cortex presents orientation selectivity for visual structure extraction)(一区)
4. Jinjian Wu, et al, “Perceptual Quality Metric with Internal Generative Mechanism”, IEEE Transactions on Image Processing, Vol.22, No.1, pp.43-54, Jan.2013. (PDF) (CODE) (Our eyes distinguishes orderly and disorderly visual signals, so does our quality metric) (ESI高被引论文)(一区)
5. Jinjian Wu, et al, “Pattern Masking Estimation in Image with Structural Uncertainty”, IEEE Transactions on Image Processing, Vol.22, No.12, pp.4892-4904, Dec.2013. (PDF) (CODE) (Structural uncertainty is another factor that determines the visual masking effect)(一区)
6. Jinjian Wu, et al, “Just Noticeable Difference Estimation for Images with Free-Energy Principle”, IEEE Transactions On Multimedia,Vol.15, No.7, pp.1705-1710, Nov.2013. (PDF) (CODE) (A fresh angle to estimate JND threshold with the theory support from the latest neuroscience finding)(一区)
7. Jinjian Wu, et al, “Reduced-Reference Image Quality Assessment with Visual Information Fidelity”, IEEE Transactions On Multimedia,Vol.15, No. 7, pp.1700-1705, Nov.2013.  (PDF) (Effectively measure image quality with only 2 values of the reference data)(一区)
8. Jinjian Wu, Weisi Lin, and Guangming Shi, “Visual Masking Estimation Based on Structural Uncertainty”, IEEE ISCAS 2013, Beijing China. (Oral) (PDF) (获最佳学生论文奖)
9. Yuming Fang, Jiebin Yan, Leida Li, Jinjian Wu, et al, No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation, IEEE Transactions on Image Processing, Vol.27, No.4, pp. 1600-1610, 2018.(一区)
10. Yongbo Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Jinjian Wu, et al, “Image Super-Resolution With Parametric Sparse Model Learning”, IEEE Transactions on Image Processing 27(9): 4638-4650 (2018).(一区)
11. Guangming Shi, Tao Huang, Weisheng Dong, Jinjian Wu, et al, “Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling”, IEEE Transactions on Image Processing 27(10): 4810-4824 (2018)(一区)
12. Yu Zhou, Leida Li, Jinjian Wu, et al, “Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics”, IEEE Transactions on Multimedia 20(11): 3019-3032 (2018).(一区)
13. Weisheng Dong, Guangming Shi, Xin Li, Kefan Peng, Jinjian Wu, et al, “Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank Regularization”, IEEE Transactions on Multimedia, Vol.19, No.2, pp.293-301, February 2017.(一区)
14. Weisheng Dong, Fazuo Fu, Guangming Shi, Xun Cao, Jinjian Wu, et al, “HyperspectralImage Super-Resolution via Non-Negative Structured Sparse Representation”, IEEE Transactions on Image Processing, Vol.25, No.5, pp.2337-2352, May 2016.(一区)
15. Leida Li, Dong Wu, Jinjian Wu, et al, “Image Sharpness Assessment by Sparse Representation”, IEEE Transactions on Multimedia, Vol.18, No.6, pp.1085-1097, June 2016.(一区)