Luping Zhou

According to our database, Luping Zhou authored at least 159 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Semi-supervised medical image segmentation via hard positives oriented contrastive learning.

Cheng Tang, Xinyi Zeng, Luping Zhou, Qizheng Zhou, Peng Wang, Xi Wu, Hongping Ren, Jiliu Zhou, Yan Wang

Pattern Recognit., February, 2024

3D multi-modality Transformer-GAN for high-quality PET reconstruction.

Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou

Medical Image Anal., January, 2024

UFDA: Universal Federated Domain Adaptation with Practical Assumptions.

Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words.

Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, December, 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, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen

Patterns, September, 2023

Stay in Grid: Improving Video Captioning via Fully Grid-Level Representation.

Mingkang Tang, Zhanyu Wang, Zhaoyang Zeng, Xiu Li, Luping Zhou

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Kernel-based feature aggregation framework in point cloud networks.

Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu

Pattern Recognit., July, 2023

Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework.

Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu

IEEE Trans. Medical Imaging, 2023

Single-View 3D Mesh Reconstruction for Seen and Unseen Categories.

Xianghui Yang, Guosheng Lin, Luping Zhou

IEEE Trans. Image Process., 2023

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval.

Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2023

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

CoRR, 2023

MedXChat: Bridging CXR Modalities with a Unified Multimodal Large Model.

Ling Yang, Zhanyu Wang, Luping Zhou

CoRR, 2023

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.

Zhen Zhao, Zicheng Wang, Longyue Wang, Yixuan Yuan, Luping Zhou

CoRR, 2023

Clean Label Disentangling for Medical Image Segmentation with Noisy Labels.

Zicheng Wang, Zhen Zhao, Erjian Guo, Luping Zhou

CoRR, 2023

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.

Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu

CoRR, 2023

Progressive Target-Styled Feature Augmentation for Unsupervised Domain Adaptation on Point Clouds.

Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu

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, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou

CoRR, 2023

Understanding Masked Autoencoders From a Local Contrastive Perspective.

Xiaoyu Yue, Lei Bai, Meng Wei, Jiangmiao Pang, Xihui Liu, Luping Zhou, Wanli Ouyang

CoRR, 2023

R2GenGPT: Radiology Report Generation with Frozen LLMs.

Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

CoRR, 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.

Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

CoRR, 2023

A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking.

Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou

CoRR, 2023

Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization.

Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

CoRR, 2023

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation.

Zhen Zhao, Ye Liu, Meng Zhao, Di Yin, Yixuan Yuan, Luping Zhou

CoRR, 2023

Towards Semi-supervised Learning with Non-random Missing Labels.

Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

CoRR, 2023

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models.

Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang

CoRR, 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, Dinggang Shen

Comput. Medical Imaging Graph., 2023

Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning.

Zhen Zhao, Meng Zhao, Ye Liu, Di Yin, Luping Zhou

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers.

Zhenghao Chen, Lucas Relic, Roberto Azevedo, Yang Zhang, Markus H. Gross, Dong Xu, Luping Zhou, Christopher Schroers

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

Proceedings of the Cancer Prevention Through Early Detection, 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, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.

Cheng Tang, Xinyi Zeng, Luping Zhou, Xi Wu, Jiliu Zhou, Peng Wang, Yan Wang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder.

Yunyi Liu, Zhanyu Wang, Dong Xu, Luping Zhou

Proceedings of the Information Processing in Medical Imaging, 2023

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval.

Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.

Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Semi-supervised Learning with Non-random Missing Labels.

Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives.

Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation.

Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation.

Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Vector Fields: Implicit Representation by Explicit Learning.

Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation.

Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens.

Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Partial Correlation based Deep Visual Representation for Image Classification.

Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Diffusion Kernel Attention Network for Brain Disorder Classification.

Jianjia Zhang, Luping Zhou, Lei Wang, Mengting Liu, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach.

Zhanyu Wang, Hongwei Han, Lei Wang, Xiu Li, Luping Zhou

IEEE Trans. Medical Imaging, 2022

The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays.

Jianqing Wu, Yihui Wang, Bo Du, Qiang Wu, Yanlong Zhai, Jun Shen, Luping Zhou, Chen Cai, Wei Wei, Qingguo Zhou

IEEE Trans. Intell. Transp. Syst., 2022

Action Recognition With Motion Diversification and Dynamic Selection.

Peiqin Zhuang, Yu Guo, Zhipeng Yu, Luping Zhou, Lei Bai, Ding Liang, Zhiyong Wang, Yali Wang, Wanli Ouyang

IEEE Trans. Image Process., 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, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang

Pattern Recognit., 2022

FOD-Net: A deep learning method for fiber orientation distribution angular super resolution.

Rui Zeng, Jinglei Lv, He Wang, Luping Zhou, Michael Barnett, Fernando Calamante, Chenyu Wang

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, Jiliu Zhou, Luping Zhou, Yan Wang

Medical Image Anal., 2022

Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis.

Yanmei Luo, Luping Zhou, Bo Zhan, Fei-Yue Wang, Jiliu Zhou, Yan Wang, Dinggang Shen

Medical Image Anal., 2022

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis.

Bo Zhan, Luping Zhou, Zhiang Li, Xi Wu, Yifei Pu, Jiliu Zhou, Yan Wang, Dinggang Shen

Knowl. Based Syst., 2022

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.

Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Jiliu Zhou, Dong Nie, Luping Zhou

Int. J. Neural Syst., 2022

Instance Image Retrieval by Learning Purely From Within the Dataset.

Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen

CoRR, 2022

ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction.

Xianghui Yang, Guosheng Lin, Luping Zhou

CoRR, 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

MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization.

Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao

CoRR, 2022

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class.

Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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, Jiliu Zhou, Dinggang Shen, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Medical Semantic-Assisted Transformer for Radiographic Report Generation.

Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning.

Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi

Proceedings of the Computer Vision - ECCV 2022, 2022

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.

Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LaSSL: Label-Guided Self-Training for Semi-supervised Learning.

Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dense Video Captioning Using Graph-Based Sentence Summarization.

Zhiwang Zhang, Dong Xu, Wanli Ouyang, Luping Zhou

IEEE Trans. Multim., 2021

SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation.

Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp

IEEE Trans. Medical Imaging, 2021

Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-Resolution Information in Temporal Domain.

Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang

IEEE Trans. Image Process., 2021

Progressive Cross-Stream Cooperation in Spatial and Temporal Domain for Action Localization.

Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Unsupervised brain tumor segmentation using a symmetric-driven adversarial network.

Xinheng Wu, Lei Bi, Michael J. Fulham, David Dagan Feng, Luping Zhou, Jinman Kim

Neurocomputing, 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, Jiliu Zhou, Luping Zhou, Yan Wang

Neurocomputing, 2021

Beyond Covariance: SICE and Kernel Based Visual Feature Representation.

Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li

Int. J. Comput. Vis., 2021

Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions.

Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao

CoRR, 2021

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?

Feihong Liu, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen

CoRR, 2021

LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis.

Bo Zhan, Di Li, Yan Wang, Zongqing Ma, Xi Wu, Jiliu Zhou, Luping Zhou

Biomed. Signal Process. Control., 2021

Interactive medical image segmentation via a point-based interaction.

Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou, Yang Gao, Dinggang Shen

Artif. Intell. Medicine, 2021

Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding.

Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Transformer-GAN for High-Quality PET Reconstruction.

Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Self-Boosting Framework for Automated Radiographic Report Generation.

Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis.

Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat

IEEE Trans. Medical Imaging, 2020

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis.

Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang

IEEE Trans. Medical Imaging, 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

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.

Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, 2020

Deep learning based HEp-2 image classification: A comprehensive review.

Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou

Medical Image Anal., 2020

Class Distribution Alignment for Adversarial Domain Adaptation.

Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang

CoRR, 2020

Improving Auto-Augment via Augmentation-Wise Weight Sharing.

Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation.

Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

ReDro: Efficiently Learning Large-Sized SPD Visual Representation.

Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.

Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat

IEEE Trans. Medical Imaging, 2019

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

A Probabilistic Approach to Cross-Region Matching-Based Image Retrieval.

Zhimin Gao, Lei Wang, Luping Zhou

IEEE Trans. Image Process., 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

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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network.

Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Towards a General Prediction System for the Primary Delay in Urban Railways.

Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images.

Huan Wang, Luping Zhou, Lei Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.

Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multiple Obstacle Detection for Assistance Driver System Using Deep Neural Networks.

Yuhua Fan, Luping Zhou, Liya Fan, Jing Yang

Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Semi-supervised Seizure Prediction with Generative Adversarial Networks.

Nhan Duy Truong, Luping Zhou, Omid Kavehei

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Improving Action Localization by Progressive Cross-Stream Cooperation.

Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

OPML: A one-pass closed-form solution for online metric learning.

Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi

Pattern Recognit., 2018

Special Issue on High Performance Computing in Bio-medical Informatics.

Luping Zhou, Islem Rekik, Chenggang Yan, Guorong Wu

Neuroinformatics, 2018

3D conditional generative adversarial networks for high-quality PET image estimation at low dose.

Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou

NeuroImage, 2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning.

Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen

CoRR, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics.

Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.

Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation.

Biting Yu, Luping Zhou, Lei Wang, Jurgen Fripp, Pierrick Bourgeat

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Tumor segmentation via multi-modality joint dictionary learning.

Yan Wang, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu, Zhipeng Yang, Jiliu Zhou, Luping Zhou

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images.

Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Sheri

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition.

Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu

Proceedings of the Computer Vision - ECCV 2018, 2018

Data Fusion for MaaS: Opportunities and Challenges.

Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval.

Yan Zhao, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao

Proceedings of the British Machine Vision Conference 2018, 2018

2017

A Graph-Embedding Approach to Hierarchical Visual Word Mergence.

Lei Wang, Lingqiao Liu, Luping Zhou

IEEE Trans. Neural Networks Learn. Syst., 2017

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks.

Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang

IEEE J. Biomed. Health Informatics, 2017

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity.

Jianjia Zhang, Luping Zhou, Lei Wang

Pattern Recognit., 2017

Machine learning in medical imaging.

Kenji Suzuki, Luping Zhou, Qian Wang

Pattern Recognit., 2017

Infomax principle based pooling of deep convolutional activations for image retrieval.

Zhimin Gao, Lei Wang, Luping Zhou, Ming Yang

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Revisiting Metric Learning for SPD Matrix Based Visual Representation.

Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications.

Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li

IEEE Trans. Neural Networks Learn. Syst., 2016

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.

Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Exploiting Structure Sparsity for Covariance-based Visual Representation.

Jianjia Zhang, Lei Wang, Luping Zhou

CoRR, 2016

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

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval.

Ian Comor, Yan Zhao, Zhimin Gao, Luping Zhou, Lei Wang

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

A Hidden Markov Model based efficient next best viewpoint planning for autonomous exploration.

Yin Liang, Tong Zhang, Limin Chen, Bingen Li, Luping Zhou

Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

2015

Functional Brain Network Classification With Compact Representation of SICE Matrices.

Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li

IEEE Trans. Biomed. Eng., 2015

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction.

Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen

Pattern Recognit., 2015

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices.

Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.

Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap

Proceedings of the Machine Learning in Healthcare Informatics, 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

A Hierarchical Word-Merging Algorithm with Class Separability Measure.

Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Routing Strategy Based on Local Density Sensing in Delay Tolerant Network.

Fucai Wang, Bingrong Li, Luping Zhou

J. Networks, 2014

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data.

Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification.

Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

HEp-2 Cell Image Classification with Convolutional Neural Networks.

Zhimin Gao, Jianjia Zhang, Luping Zhou, Lei Wang

Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering.

Yan Zhao, Zhimin Gao, Lei Wang, Luping Zhou

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification.

Luping Zhou, Lei Wang, Philip Ogunbona

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Particle Swarm Optimization Model of Distributed Network Planning.

Luping Zhou, Bingrong Li, Fucai Wang

J. Networks, 2013

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification.

Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin

CoRR, 2013

Accelerating the Divisive Information-Theoretic Clustering of Visual Words.

Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

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

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Fast Approximate AIB Algorithm for Distributional Word Clustering.

Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Multimodal classification of Alzheimer's disease and mild cognitive impairment.

Daoqiang Zhang, Yaping Wang, Luping Zhou, Hong Yuan, Dinggang Shen

NeuroImage, 2011

Learning-based prostate localization for image guided radiation therapy.

Luping Zhou, Shu Liao, Wei Li, Dinggang Shen

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A Comparison Study of Ellipsoid Fitting for Pose Normalization of Hippocampal Shapes.

Luping Zhou, Olivier Salvado

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis.

Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A trusted control model of subject's behaviors based on static measuring.

Zheng Zhou, Luping Zhou, Bing Deng, Changwen Qu

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

Feature selection with redundancy-constrained class separability.

Luping Zhou, Lei Wang, Chunhua Shen

IEEE Trans. Neural Networks, 2010

Hippocampal Shape Classification Using Redundancy Constrained Feature Selection.

Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

Identifying Anatomical Shape Difference by Regularized Discriminative Direction.

Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes

IEEE Trans. Medical Imaging, 2009

Discriminative Maximum Margin Image Object Categorization with Exact Inference.

Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurmans

Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008

A Kernel-Induced Space Selection Approach to Model Selection in KLDA.

Lei Wang, Kap Luk Chan, Ping Xue, Luping Zhou

IEEE Trans. Neural Networks, 2008

Regularized Discriminative Direction for Shape Difference Analysis.

Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook.

Lei Wang, Luping Zhou, Chunhua Shen

Proceedings of the Computer Vision, 2008

2007

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2001

Polygonizing Non-Uniformly Distributed 3D Points by Advancing Mesh Frontiers.

Indriyati Atmosukarto, Luping Zhou, Wee Kheng Leow, Zhiyong Huang

Proceedings of the Computer Graphics International 2001 (CGI'01), 2001