| 2026 | AAAI | EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion. | Tong Chen, Xinyu Ma, Long Bai, Wenyang Wang, Yue Sun, Luping Zhou |
| 2026 | AAAI | ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation. | Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2025 | AAAI | TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances. | Wenting Xu, Viorela Ila, Luping Zhou, Craig T. Jin |
| 2025 | CVPR | DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels. | Erjian Guo, Zhen Zhao, Zicheng Wang, Tong Chen, Yunyi Liu, Luping Zhou |
| 2025 | DICTA | AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation. | Zechao Sun, Shuying Piao, Haolin Jin, Chang Dong, Lin Yue, Weitong Chen, Luping Zhou |
| 2025 | ICCV | InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis. | Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai |
| 2025 | MICCAI | SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation. | Tong Chen, Shuya Yang, Junyi Wang, Long Bai, Hongliang Ren, Luping Zhou |
| 2025 | MICCAI | HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction. | Jiaqi Cui, Lu Wen, Yuchen Fei, Bo Liu, Luping Zhou, Dinggang Shen, Yan Wang |
| 2025 | MICCAI | WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference. | Qingcheng Lyu, Tong Chen, Yiran Wang, Erjian Guo, Luping Zhou |
| 2025 | MICCAI | MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction. | Xinyi Zeng, Pinxian Zeng, Yan Wang, Jiaqi Cui, Luping Zhou, Caiwen Jiang, Han Zhang, Dinggang Shen |
| 2024 | AAAI | Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. | Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2024 | AAAI | Noise-Aware Image Captioning with Progressively Exploring Mismatched Words. | Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang |
| 2024 | AAAI | UFDA: Universal Federated Domain Adaptation with Practical Assumptions. | Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao |
| 2024 | ECCV | Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds. | Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu |
| 2024 | ECCV | Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation. | Zhen Zhao, Zicheng Wang, Longyue Wang, Dian Yu, Yixuan Yuan, Luping Zhou |
| 2024 | Interspeech | 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 J. Ballard, Craig T. Jin |
| 2024 | MICCAI | LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion. | Tong Chen, Qingcheng Lyu, Long Bai, Erjian Guo, Huxin Gao, Xiaoxiao Yang, Hongliang Ren, Luping Zhou |
| 2024 | MICCAI | MRScore: Evaluating Medical Report with LLM-Based Reward System. | Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2024 | MICCAI | KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. | Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou |
| 2023 | CVPR | Learning Partial Correlation based Deep Visual Representation for Image Classification. | Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun |
| 2023 | CVPR | METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. | Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2023 | CVPR | Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation. | Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou |
| 2023 | CVPR | Neural Vector Fields: Implicit Representation by Explicit Learning. | Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou |
| 2023 | CVPR | Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation. | Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, Luping Zhou |
| 2023 | CVPR | Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation. | Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang |
| 2023 | ECAI | Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. | Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou |
| 2023 | ICCV | Towards Semi-supervised Learning with Non-random Missing Labels. | Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2023 | ICCV | Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. | Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2023 | ICCV | Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. | Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang |
| 2023 | ICCV | Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. | Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz |
| 2023 | MICCAI | 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, Dinggang Shen |
| 2023 | MICCAI | MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. | Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen |
| 2022 | AAAI | LaSSL: Label-Guided Self-Training for Semi-supervised Learning. | Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao |
| 2022 | CVPR | DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. | Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi |
| 2022 | ECCV | RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. | Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi |
| 2022 | MICCAI | A Medical Semantic-Assisted Transformer for Radiographic Report Generation. | Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou |
| 2022 | MICCAI | 3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. | Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang |
| 2021 | CVPR | A Self-Boosting Framework for Automated Radiographic Report Generation. | Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li |
| 2021 | MICCAI | 3D Transformer-GAN for High-Quality PET Reconstruction. | Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou |
| 2021 | MICCAI | Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation. | Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang |
| 2020 | BMVC | 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 |
| 2020 | ECCV | ReDro: Efficiently Learning Large-Sized SPD Visual Representation. | Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou |
| 2020 | MICCAI | Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation. | Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp |
| 2019 | CVPR | Improving Action Localization by Progressive Cross-Stream Cooperation. | Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu |
| 2019 | ICCV | A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. | Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao |
| 2019 | ICCV | Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images. | Huan Wang, Luping Zhou, Lei Wang |
| 2019 | MICCAI | Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. | Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang |
| 2019 | MICCAI | Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. | Ziqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou, Lei Wang, Ming Yang |
| 2018 | BMVC | Modelling Diffusion Process by Deep Neural Networks for Image Retrieval. | Yan Zhao, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao |
| 2018 | CSCWD | Data Fusion for MaaS: Opportunities and Challenges. | Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong |
| 2018 | ECCV | DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. | Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu |
| 2018 | ICASSP | A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. | Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Sheri |
| 2018 | MICCAI | Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. | Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen |
| 2017 | CVPR | Revisiting Metric Learning for SPD Matrix Based Visual Representation. | Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao |
| 2016 | CSCWD | A Hidden Markov Model based efficient next best viewpoint planning for autonomous exploration. | Yin Liang, Tong Zhang, Limin Chen, Bingen Li, Luping Zhou |
| 2016 | DICTA | Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval. | Ian Comor, Yan Zhao, Zhimin Gao, Luping Zhou, Lei Wang |
| 2016 | DICTA | Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval. | Yan Zhao, Lei Wang, Zhimin Gao, Ian Comor, Weichen Zhang, Luping Zhou |
| 2015 | ICCV | Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. | Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li |
| 2014 | CVPR | Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification. | Luping Zhou, Lei Wang, Philip Ogunbona |
| 2014 | DICTA | Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering. | Yan Zhao, Zhimin Gao, Lei Wang, Luping Zhou |
| 2014 | ICPR | HEp-2 Cell Image Classification with Convolutional Neural Networks. | Zhimin Gao, Jianjia Zhang, Luping Zhou, Lei Wang |
| 2014 | MICCAI | Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification. | Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li |
| 2014 | MICCAI | Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. | Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen |
| 2013 | CVPR | A Fast Approximate AIB Algorithm for Distributional Word Clustering. | Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li |
| 2013 | CVPR | Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. | Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen |
| 2013 | DICTA | Accelerating the Divisive Information-Theoretic Clustering of Visual Words. | Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li |
| 2012 | MICCAI | MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion. | Luping Zhou, Olivier Salvado, Vincent Dor, Pierrick Bourgeat, Parnesh Raniga, Victor Villemagne, Christopher Rowe, Jurgen Fripp |
| 2011 | CVPR | Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. | Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen |
| 2011 | DICTA | A Comparison Study of Ellipsoid Fitting for Pose Normalization of Hippocampal Shapes. | Luping Zhou, Olivier Salvado |
| 2010 | MICCAI | Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. | Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes |
| 2009 | ICIG | Discriminative Maximum Margin Image Object Categorization with Exact Inference. | Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurmans |
| 2008 | ECCV | A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. | Lei Wang, Luping Zhou, Chunhua Shen |
| 2008 | MICCAI | Regularized Discriminative Direction for Shape Difference Analysis. | Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes |
| 2007 | MICCAI | 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 |
| 2001 | CGI | Polygonizing Non-Uniformly Distributed 3D Points by Advancing Mesh Frontiers. | Indriyati Atmosukarto, Luping Zhou, Wee Kheng Leow, Zhiyong Huang |