A Brushlet-Based Feature Set Applied to Texture Classification. - Tan Shan; Xiangrong Zhang; Licheng Jiao (CIS, 2004)

Ridgelets Frame. - Tan Shan; Licheng Jiao; Xiangchu Feng (ICIAR (1), 2004)

SAR Image Classification Based on Immune Clonal Feature Selection. - Xiangrong Zhang; Tan Shan; Licheng Jiao (ICIAR (2), 2004)

new evidences for sparse coding strategy employed in visual neurons: from the image processing and nonlinear approximation viewpoint. - Tan Shan; Licheng Jiao (ESANN, 2005)

Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm. - Xiangrong Zhang; Shuang Wang 001; Tan Shan; Licheng Jiao (ESANN, 2005)

Automatic Image Enhancement Driven by Evolution Based on Ridgelet Frame in the Presence of Noise. - Tan Shan; Shuang Wang 001; Xiangrong Zhang; Licheng Jiao (EvoWorkshops, 2005)

Selective SVMs Ensemble Driven by Immune Clonal Algorithm. - Xiangrong Zhang; Shuang Wang 001; Tan Shan; Licheng Jiao (EvoWorkshops, 2005)

Dual ridgelet frame constructed using biorthogonal wavelet basis. - Tan Shan; Xiangrong Zhang; Licheng Jiao (ICASSP (2), 2005)

Monoscale Dual Ridgelet Frame. - Tan Shan; Licheng Jiao (ICIAR, 2005)

SAR Image Segmentation Using Kernel Based Spatial FCM. - Xiangrong Zhang; Tan Shan; Shuang Wang 001; Licheng Jiao (ICIAR, 2005)

A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory. - Tan Shan; Xiuli Ma; Xiangrong Zhang; Licheng Jiao (ISNN (1), 2005)

Image Representation in Visual Cortex and High Nonlinear Approximation. - Tan Shan; Xiangrong Zhang; Shuang Wang 001; Licheng Jiao (ISNN (1), 2005)

Response Analysis of Neuronal Population with Synaptic Depression. - Wentao Huang; Licheng Jiao; Tan Shan; Maoguo Gong (NIPS, 2005)

Multivariate Statistical Models for Image Denoising in the Wavelet Domain. - Tan Shan; Licheng Jiao (Int. J. Comput. Vis., 2007)

Denoising for 3-D Photon-Limited Imaging Data Using Nonseparable Filterbanks. - Alberto Santamaría-Pang; Teodor Stefan Bildea; Tan Shan; Ioannis A. Kakadiaris (IEEE Trans. Image Process., 2008)

Wavelet-Based Bayesian Image Estimation: From Marginal and Bivariate Prior Models to Multivariate Prior Models. - Tan Shan; Licheng Jiao; Ioannis A. Kakadiaris (IEEE Trans. Image Process., 2008)

Kernel active contour. - Tan Shan; Ioannis A. Kakadiaris (ICCV, 2009)

Infrared image change detection of substation equipment in power system using random forest. - Hua Yang; Jipu Gao; Changbao Xu; Zheng Long; Weigang Feng; Shaohua Xiong; Shuaiwei Liu; Shan Tan (ICNC-FSKD, 2017)

Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations. - Laquan Li; Jian Wang; Wei Lu 025; Shan Tan (Comput. Vis. Image Underst., 2017)

Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties. - Liang Liu; Xinxin Li; Kai Xiang; Jing Wang 022; Shan Tan (IEEE Trans. Medical Imaging, 2017)

Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. - Sadegh Riyahi; Wookjin Choi; Chia-Ju Liu; Saad Nadeem; Shan Tan; Hualiang Zhong; Wengen Chen; Abraham J. Wu; James G. Mechalakos; Joseph O. Deasy; Wei Lu 025 (DATRA/PIPPI@MICCAI, 2018)

The first MICCAI challenge on PET tumor segmentation. - Mathieu Hatt; Baptiste Laurent; Anouar Ouahabi; Hadi Fayad; Shan Tan; Laquan Li; Wei Lu 025; Vincent Jaouen; Clovis Tauber; Jakub Czakon; Filip Drapejkowski; Witold Dyrka; et al. (Medical Image Anal., 2018)

Statistical Iterative CBCT Reconstruction Based on Neural Network. - Binbin Chen; Kai Xiang; Zaiwen Gong; Jing Wang 022; Shan Tan (IEEE Trans. Medical Imaging, 2018)

Image Regularizations Based on the Sparsity of Corner Points. - Haosen Liu 001; Shan Tan (IEEE Trans. Image Process., 2019)

Dynamic Portfolio Management Based on Pair Trading and Deep Reinforcement Learning. - Fucui Xu; Shan Tan (CIIS, 2020)

Deep learning for variational multimodality tumor segmentation in PET/CT. - Laquan Li; Xiangming Zhao; Wei Lu 025; Shan Tan (Neurocomputing, 2020)

Self-Supervised Image Prior Learning with GMM from a Single Noisy Image. - Haosen Liu 001; Xuan Liu; Jiangbo Lu; Shan Tan (ICCV, 2021)

Deep learning with multiple scale attention and direction regularization for asset price prediction. - Fucui Xu; Shan Tan (Expert Syst. Appl., 2021)

TwinLSTM: Two-channel LSTM Network for Online Action Detection. - Yunfei Han; Shan Tan (ICPR, 2022)

Decoupled Frequency Learning for Dynamic Scene Deblurring. - Tao Liu; Shan Tan (ICPR, 2022)

Group Sparsity Mixture Model and Its Application on Image Denoising. - Haosen Liu 001; Laquan Li; Jiangbo Lu; Shan Tan (IEEE Trans. Image Process., 2022)

Spectral Bayesian Uncertainty for Image Super-Resolution. - Tao Liu; Jun Cheng 009; Shan Tan (CVPR, 2023)

BSDIB: Balanced Self-Distillation Information Bottleneck for Long-Tailed Visual Recognition. - Xin Cai; Shan Tan (FAIML, 2023)

Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising. - Jun Cheng 009; Tao Liu; Shan Tan (ICCV, 2023)

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising. - Xuan Liu; Yaoqin Xie; Songhui Diao; Shan Tan; Xiaokun Liang (CoRR, 2023)

Image Denoising via Style Disentanglement. - Jingwei Niu; Jun Cheng 009; Shan Tan (CoRR, 2023)

Bridging Feature Gaps to Improve Multi-Organ Segmentation on Abdominal Magnetic Resonance Image. - Susu Kang; Muyuan Yang; X. Sharon Qi; Jun Jiang; Shan Tan (IEEE J. Biomed. Health Informatics, 2023)

Learning feature fusion via an interpretation method for tumor segmentation on PET/CT. - Susu Kang; Zhiyuan Chen; Laquan Li; Wei Lu 025; X. Sharon Qi; Shan Tan (Appl. Soft Comput., 2023)

Transfer CLIP for Generalizable Image Denoising. - Jun Cheng 009; Dong Liang; Shan Tan (CVPR, 2024)

Deep Learning Models for Discrimination of Parkinson's disease and Multiple System Atrophy on Brain Magnetic Resonance Imaging. - Yuji Du; Xuanyan Wu; Hao Yang; Dong Liang; Jianing Jin; Dongning Su; Chengzhang He; Yun Ling; Zhonglue Chen; Kang Ren; Tao Feng; Shan Tan (FAIML, 2024)

Siamese Contrastive Reverse Distillation for Industrial Anomaly Localization. - Dong Liang; Yuji Du; Shan Tan (FAIML, 2024)

Diffusion Priors for Variational Likelihood Estimation and Image Denoising. - Jun Cheng 009; Shan Tan (NeurIPS, 2024)

Deep Filtered Back Projection for CT Reconstruction. - Xi Tan 004; Xuan Liu; Kai Xiang; Jing Wang 022; Shan Tan (IEEE Access, 2024)

Exploring and Exploiting Multi-Modality Uncertainty for Tumor Segmentation on PET/CT. - Susu Kang; Yixiong Kang; Shan Tan (IEEE J. Biomed. Health Informatics, 2024)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. - Xuan Liu; Yaoqin Xie; Songhui Diao; Shan Tan; Xiaokun Liang (IEEE Trans. Medical Imaging, 2024)

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition. - Yifan Lan; Cai xin; Jun Cheng 009; Shan Tan (Trans. Mach. Learn. Res., 2025)

The Tenth NTIRE 2025 Image Denoising Challenge Report. - Lei Sun 016; Hang Guo; Bin Ren; Luc Van Gool; Radu Timofte; Yawei Li 001; Xiangyu Kong; Hyunhee Park; Xiaoxuan Yu; Suejin Han; Hakjae Jeon; Jia Li 044; et al. (CoRR, 2025)

Image Restoration Learning via Noisy Supervision in the Fourier Domain. - Haosen Liu 001; Jiahao Liu; Shan Tan; Edmund Y. Lam (CoRR, 2025)