[42] Yan Yang, Na Wang, Heran Yang, Jian Sun*, Zongben Xu. Model-driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image, MICCAI, 2020 (Early accepted)


[41] Xin Wei, Ruixuan Yu, Jian Sun*, View-GCN: View-based Graph Convolutional Network for 3D Shape Analysis, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 (supp)

[40] Xiang Gu, Jian Sun*, Zongben Xu, Spherical Space Domain Adaptation with Robust Pseudo-label LossIEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 (supp)


[39] Ruixuan Yu, Jian Sun, Huibin Li. Second-order Spectral Transform Block for 3D Shape Classification and RetrievalIEEE Trans. on Image Processing, 29:4530-4543, 2020.  (supp)


[38] Jian Sun, Zongben Xu. Neural Diffusion Distance for Image SegmentationThirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019 (supp, ppt, postercode)


[37] Nan Meng, Yan Yang (co-first aurthor), Zongben Xu, Jian Sun*. A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging, MICCAI, 2019. 


[36] Yan Yang, Jian Sun*, Huibin Li, Zongben Xu. ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Trans. on Pattern Recognition and Machine Intelligence, 42(3):521-538, 2019


[35] Shipeng Wang, Jian Sun*, Zongben Xu. HyperAdam: A Learnable Task-Adaptive Adam for Network Training, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.


[34] Dong Yang, Jian Sun*. Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing. European Conference on Computer Vision (ECCV), 2018.

[33] Ruixuan Yu, Jian Sun*, Huibin Li. Learning Spectral Transform Network on 3D Surface for Non-rigid Shape AnalysisECCV-GMDL, 2018.


[32] Haixia Bi, Jian Sun*, and Zongben Xu. A Graph-based Semi-supervised Deep Learning Model for PolSAR Image ClassificationIEEE Trans. on Geoscience and Remote Sensing57(4):2116-2132, 2018.


[31]He J, Yang Y, Wang Y, Zeng D, Bian Z, Zhang H, Sun J, Xu Z, Ma J. Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction, IEEE Trans. on Medical Imaging38(2):371-382, 2018.


[30]  Heran Yang, Jian Sun, Aaron CarassJunghoon Lee, Zongben Xu, Jerry Prince. Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN, MICCAI - DLMIA, 2018


[29]  Heran Yang, Jian Sun*, Huibin Li, Lisheng Wang, Zongben Xu. Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images, Medical Image Analysis49:60-75, 2018.


[28] Xiaofan Wei, Huibin Li*, and Jian Sun, Limin Chen. Unsupervised Domain Adaption with Regularized Optimal Transport for Multimodal 2D + 3D Facial Expression Recognition, IEEE FG (oral presentation), 2018.


[27] Dong Yang, Jian Sun*. BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering, IEEE Signal Processing Letter (top accessed paper: rank 6)25(1):55-59, 2018


[26] Zongben Xu. Jian Sun*. Model-driven Deep Learning, National Science Review5(1):22-24, 2018.


[25] Huibin Li, Jian Sun*,  Zongben Xu, Liming Chen, Multimodal 2D+3D Facial Expression Recognition with Deep Fusion Convolutional Neural Network, IEEE Trans. on Multimedia19(12), 2816-2831, 2017.


[24] Haixia Bi, Jian Sun*, and Zongben Xu. Unsupervised PolSAR Image Classification using Discriminative ClusteringIEEE Trans. on Geoscience and Remote Sensing5(6):3531-35442017.


[23] Yan Yang, Jian Sun*, Huibin Li, Zongben Xu.  Deep ADMM-Net for Compressive Sensing MRIAdvances in Neural Information Processing Systems (NIPS), 2016


[22] Heran Yang, Jian Sun*, Huibin Li, Lisheng Wang, Zongben Xu.  Deep Fusion Net for Multi-Atlas Segmentation: Application to Cardiac MR Images (Oral presentation), International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016


[21] Jian Sun and Jean Ponce. Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation, International Journal of Computer Vision, Vol 120, No.2, pages:111-133, 2016.


[20] Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu, Total Variation Regularized RPCA for Background Subtraction from Compressive Measurements (demo codes), IEEE Transactions on Image Processing, Vol. 25, No.9, pages:4075-4090, 2016.


[19] Jian Sun, Jian Sun, Zongben Xu. Color Image Denoising via Discriminatively Learned Iterative Shrinkage. IEEE Transactions on Image Processing, 24(11): 4148-4159, 2015.


[18] Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce. Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal (Source codes)  IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, 2015

[17] Minsu Cho, Jian Sun, Olivier Duchenne, Jean Ponce. Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers . IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, 2014


[16] Jian Sun, Jean Ponce. Learning Discriminative Part Detectors for Image Classification and Cosegmentation (supplementary material, source codes)International Conf. Computer Vision (ICCV), Sydney, 2013 


[15] Florent Couzinie-Devy, Jian Sun, Karteek Alahari and Jean Ponce. Learning to Estimate and Remove Non-uniform Image Blur, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Portland, USA, 2013


[14] Jian Sun, Marshall Tappen. Separable Markov Random Field and Its Application in Low Level Vision. IEEE Transactions on Image Processing, Vol. 22, No. 1, Pages:402-408, 2013


[13] Jian Sun, Hongyan Zhu, Zongben Xu, Chongzhao Han. Poisson Image Fusion Based on Markov Random Field Fusion Model, Information Fusion, Vol.22, No. 3, Pages 241–254, 2013.


[12] Wenfei Cao, Jian Sun, Zongben Xu. Fast image deconvolution using closed-form thresholding formulas of L_q regularization. Journal of Visual Communication and Image Representation. Vol.24, No.1, Pages:1529-1542, 2013.


[11] Feng Lian, Chongzhao Han, Weifeng Liu, Jing Liu and Jian Sun. Unified cardinalized probability hypothesis density filters for extended targets and unresolved targets. Signal Processing, Vol 92, No. 7, July 2012, Pages 1729–1744, 2012. 


[10] Jian Sun, Marshall Tappen. Learning Non-Local Range Markov Random Field for Image Restoration (Supplementary material, demo codes).  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Colorado, USA, 2011. 

[9] Jian Sun, Jian Sun, Zongben Xu,Heung-Yeung Shum.
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement. IEEE Transactions on Image Processing, Vol.20, No.6, Pages:1529-1542,  2011.

[8] Jian Sun, Zongben Xu.
Scale Selection for Anisotropic Diffusion Filter by Markov Random Field Model. Pattern Recognition, Vol. 43,  No. 8, Pages: 2630-2645, 2010.

[7] Jian Sun, Jiejie Zhu, Marshall Tappen.
Context-constrained hallucination for image super-resolution. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, 2010.

[6] Zongben Xu, Jian Sun*.
Image Inpainting by Patch Propagation Using Patch Sparsity. IEEE Transactions on Image Processing, Vol. 19, No. 5, Pages:1153-1165, 2010.

[5] Jian Sun,
Research on Image Processing Algorithms Based on Visual Prior, PHD Thesis, 2009.

[4] Jian Sun, Jian Sun, Zongben Xu,Heung-Yeung Shum.
Image Super-resolution using Gradient Profile Prior, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Alaska, USA, 2008.

[3] Jian Sun, Jian Sun,Sing-Bing Kang, ZB Xu, Heung-Yeung Shum.
Flash Cut : Foreground Extraction with Flash/No-Flash Image Pairs, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Minnesota, USA, 2007

[2] Jian Sun, Zongben Xu. An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network . Lecture Notes in Computer Science,  Vol. 3972, Pages: 563-568, 2006.

[1] Jian Sun, Zongben Xu. A Review on Scale Space Method in Computer Vision. Chinese Journal of Engineering Mathematics, Vol. 22, No.6, Pages: 951-962, 2005.