Polygonizing Non-Uniformly Distributed 3D Points by Advancing Mesh Frontiers. - Indriyati Atmosukarto; Luping Zhou; Wee Kheng Leow; Zhiyong Huang (Computer Graphics International, 2001)

A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation. - Luping Zhou; Richard I. Hartley; Paulette Lieby; Nick Barnes; Kaarin Anstey; Nicolas Cherbuin; Perminder S. Sachdev (MICCAI (1), 2007)

A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. - Lei Wang 001; Luping Zhou; Chunhua Shen (ECCV (4), 2008)

Regularized Discriminative Direction for Shape Difference Analysis. - Luping Zhou; Richard I. Hartley; Lei Wang 001; Paulette Lieby; Nick Barnes (MICCAI (1), 2008)

A Kernel-Induced Space Selection Approach to Model Selection in KLDA. - Lei Wang 001; Kap Luk Chan; Ping Xue 001; Luping Zhou (IEEE Trans. Neural Networks, 2008)

Discriminative Maximum Margin Image Object Categorization with Exact Inference. - Qinfeng Shi; Luping Zhou; Li Cheng 001; Dale Schuurmans (ICIG, 2009)

Identifying Anatomical Shape Difference by Regularized Discriminative Direction. - Luping Zhou; Richard I. Hartley; Lei Wang 001; Paulette Lieby; Nick Barnes (IEEE Trans. Medical Imaging, 2009)

Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. - Luping Zhou; Lei Wang 001; Chunhua Shen; Nick Barnes (MICCAI (2), 2010)

Feature selection with redundancy-constrained class separability. - Luping Zhou; Lei Wang 001; Chunhua Shen (IEEE Trans. Neural Networks, 2010)

A trusted control model of subject's behaviors based on static measuring. - Zheng Zhou; Luping Zhou; Bing Deng; Changwen Qu (BMEI, 2011)

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. - Luping Zhou; Yaping Wang; Yang Li 010; Pew-Thian Yap; Dinggang Shen (CVPR, 2011)

A Comparison Study of Ellipsoid Fitting for Pose Normalization of Hippocampal Shapes. - Luping Zhou; Olivier Salvado (DICTA, 2011)

Learning-based prostate localization for image guided radiation therapy. - Luping Zhou; Shu Liao; Wei Li; Dinggang Shen (ISBI, 2011)

Multimodal classification of Alzheimer's disease and mild cognitive impairment. - Daoqiang Zhang; Yaping Wang; Luping Zhou; Hong Yuan; Dinggang Shen (NeuroImage, 2011)

MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion. - Luping Zhou; Olivier Salvado; Vincent Doré; Pierrick Bourgeat; Parnesh Raniga; Victor Villemagne; Christopher Rowe; Jurgen Fripp (MICCAI (2), 2012)

A Fast Approximate AIB Algorithm for Distributional Word Clustering. - Lei Wang 001; Jianjia Zhang; Luping Zhou; Wanqing Li 001 (CVPR, 2013)

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. - Luping Zhou; Lei Wang 001; Lingqiao Liu; Philip Ogunbona; Dinggang Shen (CVPR, 2013)

Accelerating the Divisive Information-Theoretic Clustering of Visual Words. - Jianjia Zhang; Lei Wang 001; Lingqiao Liu; Luping Zhou; Wanqing Li 001 (DICTA, 2013)

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification. - Fayao Liu; Luping Zhou; Chunhua Shen; Jianping Yin (CoRR, 2013)

Particle Swarm Optimization Model of Distributed Network Planning. - Luping Zhou; Bingrong Li; Fucai Wang (J. Networks, 2013)

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification. - Luping Zhou; Lei Wang 001; Philip Ogunbona (CVPR, 2014)

Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering. - Yan Zhao 019; Zhimin Gao; Lei Wang 001; Luping Zhou (DICTA, 2014)

HEp-2 Cell Image Classification with Convolutional Neural Networks. - Zhimin Gao; Jianjia Zhang; Luping Zhou; Lei Wang 001 (I3A@ICPR, 2014)

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification. - Jianjia Zhang; Luping Zhou; Lei Wang 001; Wanqing Li 001 (MLMI, 2014)

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. - Luping Zhou; Lei Wang 001; Lingqiao Liu; Philip Ogunbona; Dinggang Shen (MICCAI (3), 2014)

Routing Strategy Based on Local Density Sensing in Delay Tolerant Network. - Fucai Wang; Bingrong Li; Luping Zhou (J. Networks, 2014)

A Hierarchical Word-Merging Algorithm with Class Separability Measure. - Lei Wang 001; Luping Zhou; Chunhua Shen; Lingqiao Liu; Huan Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Multiple Kernel Learning in the Primal for Multimodal Alzheimer's Disease Classification. - Fayao Liu; Luping Zhou; Chunhua Shen; Jianping Yin (IEEE J. Biomed. Health Informatics, 2014)

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. - Dinggang Shen; Chong-Yaw Wee; Daoqiang Zhang; Luping Zhou; Pew-Thian Yap (Machine Learning in Healthcare Informatics, 2014)

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. - Lei Wang 001; Jianjia Zhang; Luping Zhou; Chang Tang; Wanqing Li 001 (ICCV, 2015)

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction. - Xinwang Liu 002; Luping Zhou; Lei Wang 001; Jian Zhang 002; Jianping Yin; Dinggang Shen (Pattern Recognit., 2015)

Functional Brain Network Classification With Compact Representation of SICE Matrices. - Jianjia Zhang; Luping Zhou; Lei Wang 001; Wanqing Li 001 (IEEE Trans. Biomed. Eng., 2015)

A Hidden Markov Model based efficient next best viewpoint planning for autonomous exploration. - Yin Liang; Tong Zhang; Limin Chen; Bingen Li; Luping Zhou (CSCWD, 2016)

Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval. - Ian Comor; Yan Zhao 019; Zhimin Gao; Luping Zhou; Lei Wang 001 (DICTA, 2016)

Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval. - Yan Zhao 019; Lei Wang 001; Zhimin Gao; Ian Comor; Weichen Zhang; Luping Zhou (DICTA, 2016)

Exploiting Structure Sparsity for Covariance-based Visual Representation. - Jianjia Zhang; Lei Wang 001; Luping Zhou (CoRR, 2016)

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data. - Luping Zhou; Lei Wang 001; Lingqiao Liu; Philip Ogunbona; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications. - Jianjia Zhang; Lei Wang 001; Luping Zhou; Wanqing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Revisiting Metric Learning for SPD Matrix Based Visual Representation. - Luping Zhou; Lei Wang 001; Jianjia Zhang; Yinghuan Shi; Yang Gao 001 (CVPR, 2017)

Infomax principle based pooling of deep convolutional activations for image retrieval. - Zhimin Gao; Lei Wang 001; Luping Zhou; Ming Yang 014 (ICME, 2017)

Machine learning in medical imaging. - Kenji Suzuki 001; Luping Zhou; Qian Wang 001 (Pattern Recognit., 2017)

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity. - Jianjia Zhang; Luping Zhou; Lei Wang 001 (Pattern Recognit., 2017)

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks. - Zhimin Gao; Lei Wang 001; Luping Zhou; Jianjia Zhang (IEEE J. Biomed. Health Informatics, 2017)

A Graph-Embedding Approach to Hierarchical Visual Word Mergence. - Lei Wang 001; Lingqiao Liu; Luping Zhou (IEEE Trans. Neural Networks Learn. Syst., 2017)

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval. - Yan Zhao 019; Lei Wang 001; Luping Zhou; Yinghuan Shi; Yang Gao 001 (BMVC, 2018)

Data Fusion for MaaS: Opportunities and Challenges. - Jianqing Wu 002; Luping Zhou; Chen Cai; Jun Shen 001; Sim Kim Lau; Jianming Yong (CSCWD, 2018)

DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. - Melih Engin; Lei Wang 001; Luping Zhou; Xinwang Liu 002 (ECCV (2), 2018)

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. - Pinzhuo Tian; Lei Qi 001; Yinghuan Shi; Luping Zhou; Yang Gao 001; Dinggang Sheri (ICASSP, 2018)

Tumor segmentation via multi-modality joint dictionary learning. - Yan Wang 015; Biting Yu; Lei Wang 001; Chen Zu; Yong Luo; Xi Wu 004; Zhipeng Yang; Jiliu Zhou; Luping Zhou (ISBI, 2018)

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation. - Biting Yu; Luping Zhou; Lei Wang 001; Jurgen Fripp; Pierrick Bourgeat (ISBI, 2018)

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. - Chen Zu; Yan Wang 015; Luping Zhou; Lei Wang 001; Daoqiang Zhang (ISBI, 2018)

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. - Yan Wang 015; Luping Zhou; Lei Wang 001; Biting Yu; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen (MICCAI (1), 2018)

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics. - Zhongyan Zhang; Lei Wang 001; Yang Wang 002; Luping Zhou; Jianjia Zhang; Fang Chen 001 (ICMR, 2018)

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning. - Jinquan Sun; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Luping Zhou; Wanqi Yang; Dinggang Shen (CoRR, 2018)

3D conditional generative adversarial networks for high-quality PET image estimation at low dose. - Yan Wang 015; Biting Yu; Lei Wang 001; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (NeuroImage, 2018)

Special Issue on High Performance Computing in Bio-medical Informatics. - Luping Zhou; Islem Rekik; Chenggang Yan 003; Guorong Wu 001 (Neuroinformatics, 2018)

OPML: A one-pass closed-form solution for online metric learning. - Wenbin Li 006; Yang Gao 001; Lei Wang 001; Luping Zhou; Jing Huo; Yinghuan Shi (Pattern Recognit., 2018)

Improving Action Localization by Progressive Cross-Stream Cooperation. - Rui Su; Wanli Ouyang; Luping Zhou; Dong Xu 001 (CVPR, 2019)

Semi-supervised Seizure Prediction with Generative Adversarial Networks. - Nhan Duy Truong; Luping Zhou; Omid Kavehei (EMBC, 2019)

Multiple Obstacle Detection for Assistance Driver System Using Deep Neural Networks. - Yuhua Fan; Luping Zhou; Liya Fan; Jing Yang (ICAIS (3), 2019)

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Luping Zhou; Yinghuan Shi; Yang Gao 001 (ICCV, 2019)

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images. - Huan Wang; Luping Zhou; Lei Wang 001 (ICCV, 2019)

Towards a General Prediction System for the Primary Delay in Urban Railways. - Jianqing Wu 002; Luping Zhou; Chen Cai; Fang Dong 001; Jun Shen 001; Geng Sun 002 (ITSC, 2019)

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. - Jiashuang Huang; Luping Zhou; Lei Wang 001; Daoqiang Zhang (MICCAI (3), 2019)

Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. - Ziqi Zhou; Xinna Guo; Wanqi Yang; Yinghuan Shi; Luping Zhou; Lei Wang 001; Ming Yang 014 (MLMI@MICCAI, 2019)

Epileptic Seizure Forecasting With Generative Adversarial Networks. - Nhan Duy Truong; Levin Kuhlmann; Mohammad Reza Bonyadi; Damien Querlioz; Luping Zhou; Omid Kavehei (IEEE Access, 2019)

A Probabilistic Approach to Cross-Region Matching-Based Image Retrieval. - Zhimin Gao; Lei Wang 001; Luping Zhou (IEEE Trans. Image Process., 2019)

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. - Yan Wang 015; Luping Zhou; Biting Yu; Lei Wang 001; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis. - Biting Yu; Luping Zhou; Lei Wang 001; Yinghuan Shi; Jurgen Fripp; Pierrick Bourgeat (IEEE Trans. Medical Imaging, 2019)

BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation. - Xianghui Yang; Bairun Wang; Xinchi Zhou; Kaige Chen; Shuai Yi; Wanli Ouyang; Luping Zhou (BMVC, 2020)

ReDro: Efficiently Learning Large-Sized SPD Visual Representation. - Saimunur Rahman; Lei Wang 001; Changming Sun; Luping Zhou (ECCV (15), 2020)

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation. - Biting Yu; Luping Zhou; Lei Wang 001; Wanqi Yang; Ming Yang 014; Pierrick Bourgeat; Jurgen Fripp (MICCAI (4), 2020)

Improving Auto-Augment via Augmentation-Wise Weight Sharing. - Keyu Tian; Chen Lin 003; Ming Sun 008; Luping Zhou; Junjie Yan; Wanli Ouyang (NeurIPS, 2020)

Class Distribution Alignment for Adversarial Domain Adaptation. - Wanqi Yang; Tong Ling; Chengmei Yang; Lei Wang 001; Yinghuan Shi; Luping Zhou; Ming Yang 014 (CoRR, 2020)

Deep learning based HEp-2 image classification: A comprehensive review. - Saimunur Rahman; Lei Wang 001; Changming Sun; Luping Zhou (Medical Image Anal., 2020)

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. - Jiashuang Huang; Qi Zhu 001; Mingliang Wang; Luping Zhou; Zhiqiang Zhang; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2020)

Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models. - Tennison Liu; Nhan Duy Truong; Armin Nikpour; Luping Zhou; Omid Kavehei (IEEE J. Biomed. Health Informatics, 2020)

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. - Jiashuang Huang; Luping Zhou; Lei Wang 001; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2020)

Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis. - Biting Yu; Luping Zhou; Lei Wang 001; Yinghuan Shi; Jurgen Fripp; Pierrick Bourgeat (IEEE Trans. Medical Imaging, 2020)

A Self-Boosting Framework for Automated Radiographic Report Generation. - Zhanyu Wang; Luping Zhou; Lei Wang 001; Xiu Li 001 (CVPR, 2021)

3D Transformer-GAN for High-Quality PET Reconstruction. - Yanmei Luo; Yan Wang 015; Chen Zu; Bo Zhan; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (MICCAI (6), 2021)

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation. - Kaiping Wang; Bo Zhan; Chen Zu; Xi Wu 004; Jiliu Zhou; Luping Zhou; Yan Wang 015 (MICCAI (2), 2021)

Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding. - Shengqi Huang; Wanqi Yang; Lei Wang 001; Luping Zhou; Ming Yang 014 (ACM Multimedia, 2021)

Interactive medical image segmentation via a point-based interaction. - Jian Zhang; Yinghuan Shi; Jinquan Sun; Lei Wang 001; Luping Zhou; Yang Gao 001; Dinggang Shen (Artif. Intell. Medicine, 2021)

LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis. - Bo Zhan; Di Li; Yan Wang 015; Zongqing Ma; Xi Wu 004; Jiliu Zhou; Luping Zhou (Biomed. Signal Process. Control., 2021)

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? - Feihong Liu; Junwei Yang; Xiaowei He; Luping Zhou; Jun Feng 003; Dinggang Shen (CoRR, 2021)

Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. - Qian Yu; Lei Qi 001; Luping Zhou; Lei Wang 001; Yilong Yin; Yinghuan Shi; Wuzhang Wang; Yang Gao 001 (CoRR, 2021)

Beyond Covariance: SICE and Kernel Based Visual Feature Representation. - Jianjia Zhang; Lei Wang 001; Luping Zhou; Wanqing Li 001 (Int. J. Comput. Vis., 2021)

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images. - Pin Tang; Chen Zu; Mei Hong; Rui Yan; Xingchen Peng; Jianghong Xiao; Xi Wu 004; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Neurocomputing, 2021)

Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. - Xinheng Wu; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Luping Zhou; Jinman Kim (Neurocomputing, 2021)

Progressive Cross-Stream Cooperation in Spatial and Temporal Domain for Action Localization. - Rui Su; Dong Xu 001; Luping Zhou; Wanli Ouyang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-Resolution Information in Temporal Domain. - Rui Su; Dong Xu 001; Luping Zhou; Wanli Ouyang (IEEE Trans. Image Process., 2021)

SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation. - Biting Yu; Luping Zhou; Lei Wang 001; Wanqi Yang; Ming Yang 014; Pierrick Bourgeat; Jurgen Fripp (IEEE Trans. Medical Imaging, 2021)

Dense Video Captioning Using Graph-Based Sentence Summarization. - Zhiwang Zhang; Dong Xu 001; Wanli Ouyang; Luping Zhou (IEEE Trans. Multim., 2021)

LaSSL: Label-Guided Self-Training for Semi-supervised Learning. - Zhen Zhao 001; Luping Zhou; Lei Wang 001; Yinghuan Shi; Yang Gao 001 (AAAI, 2022)

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. - Zhen Zhao 001; Luping Zhou; Yue Duan; Lei Wang 001; Lei Qi 001; Yinghuan Shi (CVPR, 2022)

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. - Yue Duan; Lei Qi 001; Lei Wang 001; Luping Zhou; Yinghuan Shi (ECCV (30), 2022)

A Medical Semantic-Assisted Transformer for Radiographic Report Generation. - Zhanyu Wang; Mingkang Tang; Lei Wang 001; Xiu Li 001; Luping Zhou (MICCAI (3), 2022)

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. - Pinxian Zeng; Luping Zhou; Chen Zu; Xinyi Zeng; Zhengyang Jiao; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Yan Wang 015 (MICCAI (6), 2022)

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. - Guan Gui 002; Zhen Zhao 001; Lei Qi 001; Luping Zhou; Lei Wang 001; Yinghuan Shi (NeurIPS, 2022)

Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach. - Mengwei Yuan; Gang Yang; Shijie Song; Luping Zhou; Robert A. Minasian; Xiaoke Yi (CoRR, 2022)

ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction. - Xianghui Yang; Guosheng Lin; Luping Zhou (CoRR, 2022)

Instance Image Retrieval by Learning Purely From Within the Dataset. - Zhongyan Zhang; Lei Wang 001; Yang Wang 002; Luping Zhou; Jianjia Zhang; Peng Wang 023; Fang Chen 004 (CoRR, 2022)

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation. - Kaiping Wang; Yan Wang 015; Bo Zhan; Yujie Yang; Chen Zu; Xi Wu 004; Jiliu Zhou; Dong Nie; Luping Zhou (Int. J. Neural Syst., 2022)

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis. - Bo Zhan; Luping Zhou; Zhiang Li; Xi Wu 004; Yifei Pu; Jiliu Zhou; Yan Wang 015; Dinggang Shen (Knowl. Based Syst., 2022)

Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis. - Yanmei Luo; Luping Zhou; Bo Zhan; Fei-Yue Wang 001; Jiliu Zhou; Yan Wang 015; Dinggang Shen (Medical Image Anal., 2022)

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning. - Kaiping Wang; Bo Zhan; Chen Zu; Xi Wu 004; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Medical Image Anal., 2022)

FOD-Net: A deep learning method for fiber orientation distribution angular super resolution. - Rui Zeng; Jinglei Lv; He Wang 016; Luping Zhou; Michael Barnett 006; Fernando Calamante; Chenyu Wang 001 (Medical Image Anal., 2022)

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. - Yuang Shi; Chen Zu; Mei Hong; Luping Zhou; Lei Wang 001; Xi Wu 004; Jiliu Zhou; Daoqiang Zhang; Yan Wang 015 (Pattern Recognit., 2022)

Action Recognition With Motion Diversification and Dynamic Selection. - Peiqin Zhuang; Yu Guo; Zhipeng Yu; Luping Zhou; Lei Bai 001; Ding Liang; Zhiyong Wang 001; Yali Wang 001; Wanli Ouyang (IEEE Trans. Image Process., 2022)

The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. - Jianqing Wu 002; Yihui Wang 001; Bo Du 004; Qiang Wu 010; Yanlong Zhai; Jun Shen 001; Luping Zhou; Chen Cai; Wei Wei 006; Qingguo Zhou (IEEE Trans. Intell. Transp. Syst., 2022)

Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach. - Zhanyu Wang; Hongwei Han; Lei Wang 001; Xiu Li 001; Luping Zhou (IEEE Trans. Medical Imaging, 2022)

Diffusion Kernel Attention Network for Brain Disorder Classification. - Jianjia Zhang; Luping Zhou; Lei Wang 001; Mengting Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Learning Partial Correlation based Deep Visual Representation for Image Classification. - Saimunur Rahman; Piotr Koniusz; Lei Wang 001; Luping Zhou; Peyman Moghadam; Changming Sun (CVPR, 2023)

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. - Zhanyu Wang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CVPR, 2023)

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation. - Zicheng Wang; Zhen Zhao 001; Xiaoxia Xing; Dong Xu 001; Xiangyu Kong; Luping Zhou (CVPR, 2023)

Neural Vector Fields: Implicit Representation by Explicit Learning. - Xianghui Yang; Guosheng Lin; Zhenghao Chen; Luping Zhou (CVPR, 2023)

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation. - Zhen Zhao 001; Sifan Long; Jimin Pi; Jingdong Wang 001; Luping Zhou (CVPR, 2023)

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation. - Zhen Zhao 001; Lihe Yang; Sifan Long; Jimin Pi; Luping Zhou; Jingdong Wang 001 (CVPR, 2023)

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. - Bhanu Prakash Voutharoja; Lei Wang 001; Luping Zhou (ECAI, 2023)

Towards Semi-supervised Learning with Non-random Missing Labels. - Yue Duan; Zhen Zhao 001; Lei Qi 001; Luping Zhou; Lei Wang 001; Yinghuan Shi (ICCV, 2023)

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. - Guan Gui 002; Zhen Zhao 001; Lei Qi 001; Luping Zhou; Lei Wang 001; Yinghuan Shi (ICCV, 2023)

Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. - Sifan Long; Zhen Zhao 001; Junkun Yuan; Zichang Tan; Jiangjiang Liu 006; Luping Zhou; Shengsheng Wang 001; Jingdong Wang 001 (ICCV, 2023)

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. - Zhongyan Zhang; Lei Wang 001; Luping Zhou; Piotr Koniusz (ICCV, 2023)

Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder. - Yunyi Liu; Zhanyu Wang; Dong Xu 001; Luping Zhou (IPMI, 2023)

Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation. - Cheng Tang 003; Xinyi Zeng; Luping Zhou; Xi Wu 004; Jiliu Zhou; Peng Wang; Yan Wang 015 (ISBI, 2023)

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. - Zeyu Han; Yuhan Wang; Luping Zhou; Peng Wang; Binyu Yan; Jiliu Zhou; Yan Wang 015; Dinggang Shen (MICCAI (10), 2023)

MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. - Jiadong Zhang; Qianqian Chen; Luping Zhou; Zhiming Cui; Fei Gao 010; Zhenhui Li; Qianjin Feng; Dinggang Shen (CaPTion@MICCAI, 2023)

Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers. - Zhenghao Chen; Lucas Relic; Roberto Azevedo; Yang Zhang 003; Markus Gross 001; Dong Xu 001; Luping Zhou; Christopher Schroers (ACM Multimedia, 2023)

Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning. - Zhen Zhao 001; Meng Zhao 003; Ye Liu 013; Di Yin; Luping Zhou (ACM Multimedia, 2023)

Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? - Feihong Liu; Junwei Yang; Mingyue Feng; Zhiming Cui; Xiaowei He; Luping Zhou; Jun Feng 003; Dinggang Shen (Comput. Medical Imaging Graph., 2023)

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models. - Sifan Long; Zhen Zhao 001; Junkun Yuan; Zichang Tan; Jiangjiang Liu 006; Luping Zhou; Shengsheng Wang 001; Jingdong Wang 001 (CoRR, 2023)

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation. - Zhen Zhao 001; Ye Liu 013; Meng Zhao 003; Di Yin; Yixuan Yuan; Luping Zhou (CoRR, 2023)

R2GenGPT: Radiology Report Generation with Frozen LLMs. - Zhanyu Wang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2023)

Understanding Masked Autoencoders From a Local Contrastive Perspective. - Xiaoyu Yue; Lei Bai 001; Meng Wei; Jiangmiao Pang; Xihui Liu; Luping Zhou; Wanli Ouyang (CoRR, 2023)

A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging. - Yingshu Li; Yunyi Liu; Zhanyu Wang; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Leyang Cui; Zhaopeng Tu; Longyue Wang; Luping Zhou (CoRR, 2023)

Progressive Target-Styled Feature Augmentation for Unsupervised Domain Adaptation on Point Clouds. - Zicheng Wang; Zhen Zhao 001; Yiming Wu 005; Luping Zhou; Dong Xu 001 (CoRR, 2023)

Clean Label Disentangling for Medical Image Segmentation with Noisy Labels. - Zicheng Wang; Zhen Zhao 001; Erjian Guo; Luping Zhou (CoRR, 2023)

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation. - Zhen Zhao 001; Zicheng Wang; Longyue Wang; Yixuan Yuan; Luping Zhou (CoRR, 2023)

MedXChat: Bridging CXR Modalities with a Unified Multimodal Large Model. - Ling Yang; Zhanyu Wang; Luping Zhou (CoRR, 2023)

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval. - Zhongyan Zhang; Lei Wang 001; Yang Wang 002; Luping Zhou; Jianjia Zhang; Fang Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Single-View 3D Mesh Reconstruction for Seen and Unseen Categories. - Xianghui Yang; Guosheng Lin; Luping Zhou (IEEE Trans. Image Process., 2023)

Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework. - Erjian Guo; Huazhu Fu; Luping Zhou; Dong Xu 001 (IEEE Trans. Medical Imaging, 2023)

Kernel-based feature aggregation framework in point cloud networks. - Jianjia Zhang; Zhenxi Zhang; Lei Wang 001; Luping Zhou; Xiaocai Zhang; Mengting Liu; Weiwen Wu (Pattern Recognit., 2023)

Stay in Grid: Improving Video Captioning via Fully Grid-Level Representation. - Mingkang Tang; Zhanyu Wang; Zhaoyang Zeng; Xiu Li 001; Luping Zhou (IEEE Trans. Circuits Syst. Video Technol., 2023)

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. - Jiadong Zhang; Zhiming Cui; Zhenwei Shi; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou 003; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. - Jiadong Zhang; Zhiming Cui; Luping Zhou; Yiqun Sun; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. - Yue Duan; Zhen Zhao 001; Lei Qi 001; Luping Zhou; Lei Wang 001; Yinghuan Shi (AAAI, 2024)

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words. - Zhongtian Fu; Kefei Song; Luping Zhou; Yang Yang (AAAI, 2024)

UFDA: Universal Federated Domain Adaptation with Practical Assumptions. - Xinhui Liu; Zhenghao Chen; Luping Zhou; Dong Xu 001; Wei Xi; Gairui Bai; Yihan Zhao; Jizhong Zhao (AAAI, 2024)

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds. - Zicheng Wang; Zhen Zhao 001; Yiming Wu 005; Luping Zhou; Dong Xu 001 (ECCV (28), 2024)

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation. - Zhen Zhao 001; Zicheng Wang; Longyue Wang; Dian Yu 001; Yixuan Yuan; Luping Zhou (ECCV (5), 2024)

Towards Speech Classification from Acoustic and Vocal Tract data in Real-time MRI. - Yaoyao Yue; Michael Proctor; Luping Zhou; Rijul Gupta; Tharinda Piyadasa; Amelia Gully; Kirrie Ballard; Craig T. Jin (INTERSPEECH, 2024)

Automated Medical Report Generation and Visual Question Answering. - Luping Zhou (MCHM@MM, 2024)

LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion. - Tong Chen; Qingcheng Lyu; Long Bai 008; Erjian Guo; Huxin Gao; Xiaoxiao Yang; Hongliang Ren 001; Luping Zhou (MICCAI (6), 2024)

KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. - Yingshu Li; Zhanyu Wang; Yunyi Liu; Lei Wang 001; Lingqiao Liu; Luping Zhou (MICCAI (5), 2024)

MRScore: Evaluating Medical Report with LLM-Based Reward System. - Yunyi Liu; Zhanyu Wang; Yingshu Li; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (MICCAI (3), 2024)

Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. - Zhenghao Chen; Luping Zhou; Zhihao Hu; Dong Xu 001 (ACM Multimedia, 2024)

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. - Zhanyu Wang; Longyue Wang; Zhen Zhao 001; Minghao Wu; Chenyang Lyu; Huayang Li; Deng Cai 002; Luping Zhou; Shuming Shi 001; Zhaopeng Tu (ACM Multimedia, 2024)

Reflective Microresonator based Microwave Photonic Sensor Assisted by Sparse Transformer. - Xiaoyi Tian; Yeming Chen; Joel Sved; Yiming Yan; Luping Zhou; Liwei Li; Linh Nguyen; Xiaoke Yi (OFC, 2024)

MRScore: Evaluating Radiology Report Generation with LLM-based Reward System. - Yunyi Liu; Zhanyu Wang; Yingshu Li; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2024)

PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis. - Zicheng Wang; Zhenghao Chen; Yiming Wu 005; Zhen Zhao 001; Luping Zhou; Dong Xu 001 (CoRR, 2024)

AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation. - Zechao Sun; Haolin Jin; Weitong Chen; Luping Zhou (CoRR, 2024)

Diffusion Models Need Visual Priors for Image Generation. - Xiaoyu Yue; Zidong Wang 004; Zeyu Lu; Shuyang Sun; Meng Wei; Wanli Ouyang; Lei Bai 001; Luping Zhou (CoRR, 2024)

ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss. - Yunyi Liu; Yingshu Li; Zhanyu Wang; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2024)

SurgSora: Decoupled RGBD-Flow Diffusion Model for Controllable Surgical Video Generation. - Tong Chen; Shuya Yang; Junyi Wang; Long Bai 008; Hongliang Ren 001; Luping Zhou (CoRR, 2024)

UniBrain: A Unified Model for Cross-Subject Brain Decoding. - Zicheng Wang; Zhen Zhao; Luping Zhou; Parashkev Nachev (CoRR, 2024)

DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only. - Yuanyuan Xu; Lu Wen; Zhengyang Jiao; Jianghong Xiao; Luping Zhou; Yanmei Luo; Jiliu Zhou; Xingchen Peng; Yan Wang 015 (Knowl. Based Syst., 2024)

Constructing hierarchical attentive functional brain networks for early AD diagnosis. - Jianjia Zhang; Yunan Guo; Luping Zhou; Lei Wang 001; Weiwen Wu; Dinggang Shen (Medical Image Anal., 2024)

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction. - Yujie Yang; Lin Hu; Chen Zu; Jianjia Zhang; Yun Hou; Ying Chen; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Pattern Recognit., 2024)

Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation. - Yang Yang 074; Wenjuan Xi; Luping Zhou; Jinhui Tang 001 (IEEE Trans. Image Process., 2024)

3D multi-modality Transformer-GAN for high-quality PET reconstruction. - Yan Wang 015; Yanmei Luo; Chen Zu; Bo Zhan; Zhengyang Jiao; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (Medical Image Anal., 2024)

Semi-supervised medical image segmentation via hard positives oriented contrastive learning. - Cheng Tang 003; Xinyi Zeng; Luping Zhou; Qizheng Zhou; Peng Wang; Xi Wu 004; Hongping Ren; Jiliu Zhou; Yan Wang 015 (Pattern Recognit., 2024)

MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization. - Yue Duan; Zhen Zhao 001; Lei Qi 001; Lei Wang 001; Luping Zhou; Yinghuan Shi; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising. - Jiaqi Cui; Yan Wang 015; Luping Zhou; Yuchen Fei; Jiliu Zhou; Dinggang Shen (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking. - Lorenzo Papa; Paolo Russo 001; Irene Amerini; Luping Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances. - Wenting Xu; Viorela Ila; Luping Zhou; Craig T. Jin (AAAI, 2025)

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels. - Erjian Guo; Zhen Zhao 001; Zicheng Wang; Tong Chen; Yunyi Liu; Luping Zhou (CVPR, 2025)

Medxchat: A Unified Multimodal Large Language Model Framework Towards CXRS Understanding and Generation. - Ling Yang; Zhanyu Wang; Zhenghao Chen; Xinyu Liang; Luping Zhou (ISBI, 2025)

Medvisiochat: A Multimodal Large Language Model Framework for Interpretable Diagnosis with Visual Grounding in CXRs. - Ling Yang; Zhanyu Wang; Luping Zhou (ISBI, 2025)

Exploring Representation-Aligned Latent Space for Better Generation. - Wanghan Xu; Xiaoyu Yue; Zidong Wang 004; Yao Teng; Wenlong Zhang; Xihui Liu; Luping Zhou; Wanli Ouyang; Lei Bai 001 (CoRR, 2025)

Asynchronous Functional Brain Network Construction With Spatiotemporal Transformer for MCI Classification. - Jianjia Zhang; Xiaotong Wu; Xiang Tang; Luping Zhou; Lei Wang 001; Weiwen Wu; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation. - Zihan Cheng; Jintao Guo; Jian Zhang 018; Lei Qi 001; Luping Zhou; Yinghuan Shi; Yang Gao 001 (CoRR, 2025)

Imbalanced Medical Image Segmentation With Pixel-Dependent Noisy Labels. - Erjian Guo; Zicheng Wang; Zhen Zhao 001; Luping Zhou (IEEE Trans. Medical Imaging, 2025)

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction. - Jiaqi Cui; Lu Wen; Yuchen Fei; Bo Liu 095; Luping Zhou; Dinggang Shen; Yan Wang 015 (CoRR, 2025)

Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. - Xianghui Yang; Guosheng Lin; Zhenghao Chen; Luping Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework. - Yingshu Li; Yunyi Liu; Zhanyu Wang; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2025)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation. - Shumeng Li; Jian Zhang 018; Lei Qi 001; Luping Zhou; Yinghuan Shi; Yang Gao 001 (CoRR, 2025)

RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores. - Yingshu Li; Yunyi Liu; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2025)

Diagnostic Captioning by Cooperative Task Interactions and Sample-Graph Consistency. - Zhanyu Wang; Lei Wang 001; Xiu Li 001; Luping Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI. - Pinxian Zeng; Xinyi Zeng; Yan Wang 015; Luping Zhou; Chen Zu; Xi Wu 004; Jiliu Zhou; Dinggang Shen (IEEE Trans. Circuits Syst. Video Technol., 2025)