[80] Xin Wei, Xiang Gu, Jian Sun*, Multi-scale Part-based Feature Representation for 3D Domain Generalization and Adaptation, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2024.
[79]Huan Liu, Jian Sun*, UniSTAD: An Unified Triple-Tower Students-Teacher Model for Multi-Class Anomaly Detection and Localization, IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2024.
[78] Xin Hu, Xiaole Tang, Ruixuan Yu, Jian Sun*, Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation, NeurIPS, 2024.
[77] Xiang Gu, Xi Yu, Yan Yang, Jian Sun*, Zongben Xu, Adversarial Reweighting with α-Power Maximization for Partial Domain Adaptation, International Journal of Computer Vision, accepted, 2024.
[76] Xiaole Tang, Xin Hu, Xiang Gu, Jian Sun*, Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration, ICML, 2024.
[75] Ruixuan Yu, Jian Sun, Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction, CVPR, 2024.
[74] Ji Wu, Shipeng Wang, Jian Sun, AMMD: Attentive Maximum Mean Discrepancy for Few-Shot Image Classification, Pattern Recognition, 2024.
[73] Kai Qi, Jian Sun, Gabor-Filtered Fourier Neural Operator for Solving Partial Differential Equations, Computers and Fluids, 2024.
[72] Xi Yu, Xiang Gu, Haozhi Liu, Jian Sun*, Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing, Neurips, 2023.
[71] Xiang Gu, Liwei Yang, Jian Sun*, Zongben Xu, Optimal Transport-Guided Conditional Score-Based Diffusion Model, Neurips, 2023.
[70] Jiazhen Wang, Yan Yang, Heran Yang, Chunfeng Lian, Zongben Xu and Jian Sun*, MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging, IEEE Trans. on Computational Imaging, 2023.
[69]Runhua Li, Jian Sun, Jiang Xue, Christos Masourosz, Scenario-Aware Learning Approaches to Adaptive Channel Estimation, IEEE Trans. on Communications, 2023.
[68]Runhua Li, Jiang Xue, Jian Sun, Symeon Chatzinotas, A Deep Learning Approach for Universal NPRACH Detection with Inter-Cell Interference, IEEE Trans. on Communications, 2023.
[67] Fan Wang, Xiang Gu, Jian Sun*, Zongben Xu, Learning-based Local Weighted Least Squares for Algebraic Multigrid Method, Journal of Computational Physics, Accepted, 2023.
[66] Heran Yang, Jian Sun*, Zongben Xu, Learning Unified Hyper-network for Multi-modal MR Image Synthesis and Tumor Segmentation with Missing Modalities, Accepted by IEEE Transactions on Medical Imaging, 2023.
[65] Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, et al., Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using Only Images, ICCV, 2023.
[64] Jiazhen Wang, Yizhe Yang, Yan Yang, Jian Sun*. Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty, MICCAI, Accepted, 2023.
[63] Xiang Gu, Jian Sun*, Zongben Xu. Adversarial Data Splitting for Domain Generalization, SCIENCE CHINA Information Sciences, Accepted, 2023.
[62] Yan Yang, Yizhou Wang, Jiazhen Wang, Jian Sun* and Zongbe Xu. An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee, SIAM Journal on Imaging Sciences, Accepted, 2023.
[61] Xiaorong Li, Shipeng Wang, Jian Sun*, Zongben Xu, Variational Data-Free Knowledge Distillation for Continual Learning, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2023.
[60] Liwei Yang, Xiang Gu, Jian Sun*. Generalized Semantic Segmentation by Self-supervised Source Domain Projection and Multi-level Contrastive Learning, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI, oral presentation), 2023
[59] Yucheng Yang, Xiang Gu, Jian Sun*. Prototypical Partial Optimal Transport for Universal Domain Adaptation, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.
[58] Xin Hu, Xin Wei, Jian Sun*. A Noising-Denoising Framework for Point Cloud Upsampling via Normalizing Flows, Pattern Recognition, 2023.
[57] Xin Wei, Ruixuan Yu, Jian Sun*, Learning View-based Graph Convolutional Network for Multi-View 3D Shape Analysis, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2022.
[56] Xin Wei, Xiang Gu, Jian Sun*, Learning Generalizable Part-based Feature Representation for 3D Point Clouds, NeurIPS, 2022.
[55] Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun*, Zongben Xu, Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation, NeurIPS, 2022.
[54]Cuican Yu, Zihui Zhang, Huibin Li*, Jian Sun, ZongbenXu , Meta-learning-based adversarial training for deep 3D face recognition on point clouds, Pattern Recognition, 2022.
[53]Zhechen Zhao, Heran Yang, Jian Sun*, Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities, in MICCAI 2022.
[52]Xiang Gu, Jian Sun*, Zongben Xu. Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2022.
[51]R. Cui, W. Hua, ...., J. Y. Zhang*, J. Sun*, C. Liu*, An Interpretable Early Dynamic Sequential Predictor for Sepsis-Induced Coagulopathy Progression in the Real-World Using Machine Learning, Frontiers in Medicine, 2021.
[50] Xiang Gu, Xi Yu, Yan Yang, Jian Sun*, Zongben Xu. Adversarial Reweighting for Partial Domain Adaptation, Conference on Neural Information Processing Systems (NeurIPS), 2021.
[49] Xin Wei, Yifei Gong, Fudong Wang, Xing Sun*, Jian Sun*. Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views, International Conference on Computer Vision, 2021.
[48] Heran Yang, Jian Sun*, Liwei Yang, Zongben Xu. A Unified Hyper-GAN model for Unpaired Multi-contrast MR Image Translation, MICCAI, 2021.
[47] Shipeng Wang, Jian Sun*, Zongben Xu. Training Networks in Null Space of Feature Covariance for Continual Learning, IEEE Conf. Computer Vision and Pattern Recognition (oral), 2021.
[46]Shipeng Wang, Yan Yang, Jian Sun*, Zongben Xu. Variational HyperAdam: A Meta-learning Approach to Network Training, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2021
[45] Anmei Zhang, Jian Sun*. Joint Depth and Defocus Estimation from a Single Image Using Physical Consistency, IEEE Trans. on Image Processing, Accepted, 2021
[44] Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun*. Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis, ECCV, 2020
[43] Thomas Eboli, Jian Sun, Jean Ponce. End-to-end Interpretable Learning of Non-blind Image Deblurring, ECCV, 2020
[42] Na Wang, Jian Sun*. Model meets deep learning in image inverse problems (a review paper), to appear in CSIAM Trans. on Applied Mathematics, 2020
[41] Heran Yang, Jian Sun*, Aaron Carass, Junghoon Lee, Zongben Xu, Jerry Prince. Unsupervised MR-to-CT Synthesis using Structure-Constrained CycleGAN, IEEE Trans. Medical Imaging (Accteped), 2020.
[40] 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.
[39] Xin Wei, Ruixuan Yu, Jian Sun*, View-GCN: View-based Graph Convolutional Network for 3D Shape Analysis, IEEE Conf. Computer Vision and Pattern Recognition (CVPR)(supp), 2020.
[38] Xiang Gu, Jian Sun*, Zongben Xu, Spherical Space Domain Adaptation with Robust Pseudo-label Loss, IEEE Conf. Computer Vision and Pattern Recognition (CVPR) (supp), 2020.
[37] Ruixuan Yu, Jian Sun*, Huibin Li. Second-order Spectral Transform Block for 3D Shape Classification and Retrieval, IEEE Trans. on Image Processing, 29:4530-4543, 2020. (supp)
[36] Jian Sun, Zongben Xu. Neural Diffusion Distance for Image Segmentation. Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019 (supp, ppt, poster)
[35] 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.
[34] Yan Yang, Jian Sun*, Huibin Li, Zongben Xu. ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Trans. on Pattern Analysis and Machine Intelligence, 42(3):521-538, 2019
[33] Shipeng Wang, Jian Sun*, Zongben Xu. HyperAdam: A Learnable Task-Adaptive Adam for Network Training, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.
[32] Dong Yang, Jian Sun*. Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing. European Conference on Computer Vision (ECCV), 2018.
[31] Ruixuan Yu, Jian Sun*, Huibin Li. Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis, ECCV-GMDL, 2018.
[30] Haixia Bi, Jian Sun*, and Zongben Xu. A Graph-based Semi-supervised Deep Learning Model for PolSAR Image Classification, IEEE Trans. on Geoscience and Remote Sensing, 57(4):2116-2132, 2018.
[29]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 Imaging, 38(2):371-382, 2018.
[28] Heran Yang, Jian Sun, Aaron Carass, Junghoon Lee, Zongben Xu, Jerry Prince. Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN, MICCAI - DLMIA, 2018
[27] Heran Yang, Jian Sun*, Huibin Li, Lisheng Wang, Zongben Xu. Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images, Medical Image Analysis, 49:60-75, 2018.
[26] 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.
[25] 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
[24] Zongben Xu. Jian Sun*. Model-driven Deep Learning, National Science Review, 5(1):22-24, 2018.
[23] Huibin Li, Jian Sun*, Zongben Xu, Liming Chen, Multimodal 2D+3D Facial Expression Recognition with Deep Fusion Convolutional Neural Network, IEEE Trans. on Multimedia, 19(12), 2816-2831, 2017.
[22] Haixia Bi, Jian Sun*, and Zongben Xu. Unsupervised PolSAR Image Classification using Discriminative Clustering, IEEE Trans. on Geoscience and Remote Sensing, 5(6):3531-3544, 2017.
[21] Yan Yang, Jian Sun*, Huibin Li, Zongben Xu. Deep ADMM-Net for Compressive Sensing MRI, Advances in Neural Information Processing Systems (NIPS), 2016
[20] 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
[19] 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.
[18] 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.
[17] Jian Sun, Jian Sun, Zongben Xu. Color Image Denoising via Discriminatively Learned Iterative Shrinkage. IEEE Transactions on Image Processing, 24(11): 4148-4159, 2015.
[16] 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
[15] 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
[14] Jian Sun, Jean Ponce. Learning Discriminative Part Detectors for Image Classification and Cosegmentation (supplementary material, source codes). International Conf. Computer Vision (ICCV), Sydney, 2013
[13] 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
[12] 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
[11] 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.
[10] 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.
[9] 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.
[8] 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.
[7] 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.
[6] 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.
[5] 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.
[4] 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.
[3] Jian Sun, Research on Image Processing Algorithms Based on Visual Prior, PHD Thesis, 2009.
[2] 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.
[1] 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
