Robust H-infinity Control for Stochastic Markovian Switching Systems Under Partly Known Transition Probabilities and Actuator Saturation via Anti-Windup Design. - Wenhai Qi; Xianwen Gao; Yuexiang Li (Circuits Syst. Signal Process., 2015)

HEp-2 specimen classification with fully convolutional network. - Yuexiang Li; LinLin Shen; Xiande Zhou; Shiqi Yu 001 (ICPR, 2016)

Positive and negative HEp-2 image classification fusing global and local features. - Jiancan Zhou; Yuexiang Li; Xiande Zhou; Linlin Shen (CISP-BMEI, 2017)

A Deep Residual Inception Network for HEp-2 Cell Classification. - Yuexiang Li; Linlin Shen (DLMIA/ML-CDS@MICCAI, 2017)

Deep Learning Based Multimodal Brain Tumor Diagnosis. - Yuexiang Li; Linlin Shen (BrainLes@MICCAI, 2017)

HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network. - Yuexiang Li; Linlin Shen; Shiqi Yu 001 (IEEE Trans. Medical Imaging, 2017)

GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. - Yuexiang Li; Xinpeng Xie; Shaoxiong Liu; Xuechen Li 001; Linlin Shen (ICTAI, 2018)

Deep learning based gastric cancer identification. - Yuexiang Li; Xuechen Li 001; Xinpeng Xie; Linlin Shen (ISBI, 2018)

Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN. - Xinpeng Xie; Yuexiang Li; Menglu Zhang; Linlin Shen (BrainLes@MICCAI (1), 2018)

cC-GAN: A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation. - Yuexiang Li; Linlin Shen (IEEE Access, 2018)

Active Learning for Breast Cancer Identification. - Xinpeng Xie; Yuexiang Li; Linlin Shen (CoRR, 2018)

Reversed Active Learning based Atrous DenseNet for Pathological Image Classification. - Yuexiang Li; Xinpeng Xie; Linlin Shen; Shaoxiong Liu (CoRR, 2018)

Open snake model based on global guidance field for embryo vessel location. - Weicheng Xie 001; Jinming Duan 001; Linlin Shen; Yuexiang Li; Meng Yang 001; Guojun Lin (IET Comput. Vis., 2018)

Deep cross residual network for HEp-2 cell staining pattern classification. - Linlin Shen; Xi Jia; Yuexiang Li (Pattern Recognit., 2018)

Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network. - Yuexiang Li; Linlin Shen (Sensors, 2018)

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. - Yu Chen; Jiawei Chen 009; Dong Wei 004; Yuexiang Li; Yefeng Zheng 001 (MMMI@MICCAI, 2019)

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. - Xinrui Zhuang; Yuexiang Li; Yifan Hu; Kai Ma 002; Yujiu Yang; Yefeng Zheng 001 (MICCAI (4), 2019)

Reverse active learning based atrous DenseNet for pathological image classification. - Yuexiang Li; Xinpeng Xie; Linlin Shen; Shaoxiong Liu (BMC Bioinform., 2019)

HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification. - Yuexiang Li; Linlin Shen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. - Yu Chen; Yuexiang Li; Jiawei Chen 009; Yefeng Zheng 001 (CoRR, 2019)

Generative Adversarial Networks for Video-to-Video Domain Adaptation. - Jiawei Chen 009; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001 (AAAI, 2020)

Dual Adversarial Network for Deep Active Learning. - Shuo Wang 008; Yuexiang Li; Kai Ma 002; Ruhui Ma; Haibing Guan; Yefeng Zheng 001 (ECCV (24), 2020)

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (ECCV (20), 2020)

A Multi-Task Self-Supervised Learning Framework for Scopy Images. - Yuexiang Li; Jiawei Chen 009; Yefeng Zheng 001 (ISBI, 2020)

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. - Yuexiang Li; Jiawei Chen 009; Xinpeng Xie; Kai Ma 002; Yefeng Zheng 001 (MICCAI (1), 2020)

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. - Yanfei Liu; Yunqiao Yang; Yi Lin 009; Yuexiang Li; Dong Wei 004; Kai Ma 002; Yefeng Zheng 001 (CADA@MICCAI, 2020)

Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. - Xing Tao; Yuexiang Li; Wenhui Zhou 001; Kai Ma 002; Yefeng Zheng 001 (MICCAI (4), 2020)

MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (MICCAI (2), 2020)

Instance-Aware Self-supervised Learning for Nuclei Segmentation. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2020)

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (CoRR, 2020)

Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning. - Jiuwen Zhu; Yuexiang Li; Yifan Hu; S. Kevin Zhou (CoRR, 2020)

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2020)

Aggregative Self-Supervised Feature Learning. - Jiuwen Zhu; Yuexiang Li; S. Kevin Zhou (CoRR, 2020)

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (Medical Image Anal., 2020)

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. - Jiuwen Zhu; Yuexiang Li; Yifan Hu; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (Medical Image Anal., 2020)

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank. - Yuexiang Li; Dong Wei 004; Jiawei Chen 009; Shilei Cao 001; Hongyu Zhou; Yanchun Zhu; Jianrong Wu; Lan Lan 002; Wenbo Sun; Tianyi Qian; Kai Ma 002; Haibo Xu; et al. (IEEE J. Biomed. Health Informatics, 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images. - Yuexiang Li; Jiawei Chen 009; Peng Xue; Chao Tang; Jia Chang; Chunyan Chu; Kai Ma 002; Qing Li; Yefeng Zheng 001; Youlin Qiao (IEEE Trans. Medical Imaging, 2020)

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. - Ziqi Zhang; Yuexiang Li; Hongxin Wei; Kai Ma 002; Tao Xu; Yefeng Zheng 001 (BMVC, 2021)

Feature Library: A Benchmark for Cervical Lesion Segmentation. - Yuexiang Li; Jiawei Chen 009; Kai Ma 002; Yefeng Zheng 001 (IPMI, 2021)

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. - Xing Tao; Chenglang Yuan; Cheng Bian; Yuexiang Li; Kai Ma 002; Dong Ni 001; Yefeng Zheng 001 (ISBI, 2021)

Deep Reinforcement Exemplar Learning for Annotation Refinement. - Yuexiang Li; Nanjun He; Sixiang Peng; Kai Ma 002; Yefeng Zheng 001 (MICCAI (8), 2021)

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Guangming Lu 001; Zhiqiang Zhang; Yefeng Zheng 001 (MICCAI (5), 2021)

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. - Hong Liu; Dong Wei 004; Donghuan Lu; Yuexiang Li; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (MICCAI (8), 2021)

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. - Hong Wang 021; Yuexiang Li; Haimiao Zhang; Jiawei Chen 009; Kai Ma 002; Deyu Meng; Yefeng Zheng 001 (MICCAI (6), 2021)

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. - Shuang Yu; Kai Ma 002; Qi Bi; Cheng Bian; Munan Ning; Nanjun He; Yuexiang Li; Hanruo Liu; Yefeng Zheng 001 (MICCAI (8), 2021)

Residual Moment Loss for Medical Image Segmentation. - Quanziang Wang; Renzhen Wang; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (CoRR, 2021)

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint. - Jiawei Chen 009; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images. - Hong Wang 021; Yuexiang Li; Haimiao Zhang; Deyu Meng; Yefeng Zheng 001 (CoRR, 2021)

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. - Quanziang Wang; Yuexiang Li; Dong Wei 004; Renzhen Wang; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (CoRR, 2021)

GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description. - Yuexiang Li; Zhi-Hua Liu; Peng Xue; Jiawei Chen 009; Kai Ma 002; Tianyi Qian; Yefeng Zheng 001; Youlin Qiao (Medical Image Anal., 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. - He Zhao 002; Yuexiang Li; Nanjun He; Kai Ma 002; Leyuan Fang; Huiqi Li; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2021)

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. - Yawen Huang; Feng Zheng; Xu Sun 006; Yuexiang Li; Ling Shao 001; Yefeng Zheng 001 (ECCV (34), 2022)

Decoupled Mixup for Out-of-Distribution Visual Recognition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Haoqian Wu; Bing Li 024; Ziqi Zhang; Yuexiang Li; Yawen Huang; Bernard Ghanem; Yefeng Zheng 001 (ECCV Workshops (6), 2022)

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. - Hong Wang 021; Yuexiang Li; Deyu Meng; Yefeng Zheng 001 (IJCAI, 2022)

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. - Haoqin Ji; Haozhe Liu; Yuexiang Li; Jinheng Xie; Nanjun He; Yawen Huang; Dong Wei 004; Xinrong Chen; Linlin Shen; Yefeng Zheng 001 (MICCAI (3), 2022)

Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification. - Yuexiang Li; Nanjun He; Yawen Huang (REMIA@MICCAI, 2022)

Orientation-Shared Convolution Representation for CT Metal Artifact Learning. - Hong Wang 021; Qi Xie; Yuexiang Li; Yawen Huang; Deyu Meng; Yefeng Zheng 001 (MICCAI (6), 2022)

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. - Yao Zhang 010; Nanjun He; Jiawei Yang 002; Yuexiang Li; Dong Wei 004; Yawen Huang; Yang Zhang 002; Zhiqiang He 002; Yefeng Zheng 001 (MICCAI (5), 2022)

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. - Wentian Zhang; Xu Sun 006; Yuexiang Li; Haozhe Liu; Nanjun He; Feng Liu 013; Yefeng Zheng 001 (MICCAI (2), 2022)

Aggregative Self-supervised Feature Learning from Limited Medical Images. - Jiuwen Zhu; Yuexiang Li; Lian Ding; S. Kevin Zhou (MICCAI (8), 2022)

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. - Yi Lin 009; Zhiyong Qu; Hao Chen 011; Zhongke Gao; Yuexiang Li; Lili Xia; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (CoRR, 2022)

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. - Heqin Zhu; Xu Sun 006; Yuexiang Li; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (CoRR, 2022)

Robust Representation via Dynamic Feature Aggregation. - Haozhe Liu; Haoqin Ji; Yuexiang Li; Nanjun He; Haoqian Wu; Feng Liu 013; Linlin Shen; Yefeng Zheng 001 (CoRR, 2022)

Combating Mode Collapse in GANs via Manifold Entropy Estimation. - Haozhe Liu; Bing Li 024; Haoqian Wu; Hanbang Liang; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2022)

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. - Haoqin Ji; Haozhe Liu; Yuexiang Li; Jinheng Xie; Nanjun He; Yawen Huang; Dong Wei 004; Xinrong Chen; Linlin Shen; Yefeng Zheng 001 (CoRR, 2022)

Decoupled Mixup for Generalized Visual Recognition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Haoqian Wu; Bing Li 024; Ziqi Zhang; Yuexiang Li; Yawen Huang; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2022)

Cross-Domain Gated Learning for Domain Generalization. - Dapeng Du; Jiawei Chen 009; Yuexiang Li; Kai Ma 002; Gangshan Wu; Yefeng Zheng 001; Limin Wang 002 (Int. J. Comput. Vis., 2022)

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. - Yuexiang Li; Jiawei Chen 009; Dong Wei 004; Yanchun Zhu; Jianrong Wu; Junfeng Xiong; Yadong Gang; Wenbo Sun; Haibo Xu; Tianyi Qian; Kai Ma 002; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2022)

Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint. - Jiawei Chen 009; Ziqi Zhang; Xinpeng Xie; Yuexiang Li; Tao Xu; Kai Ma 002; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2022)

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. - Hong Wang 021; Yuexiang Li; Nanjun He; Kai Ma 002; Deyu Meng; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2022)

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Hong Wang 021; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (AAAI, 2023)

Combating Mode Collapse via Offline Manifold Entropy Estimation. - Haozhe Liu; Bing Li 024; Haoqian Wu; Hanbang Liang; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (AAAI, 2023)

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Hong Wang 021; Yawen Huang; Yefeng Zheng 001 (CVPR, 2023)

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. - Haozhe Liu; Wentian Zhang; Bing Li 024; Haoqian Wu; Nanjun He; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CVPR, 2023)

Interactive Segmentation as Gaussian Process Classification. - Minghao Zhou; Hong Wang 021; Qian Zhao 002; Yuexiang Li; Yawen Huang; Deyu Meng; Yefeng Zheng 001 (CVPR, 2023)

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. - Peng Tu; Xu Xie; Guo Ai; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (ICCV, 2023)

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. - Jinheng Xie; Yuexiang Li; Yawen Huang; Haozhe Liu; Wentian Zhang; Yefeng Zheng 001; Mike Zheng Shou (ICCV, 2023)

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. - Hong Wang 021; Minghao Zhou; Dong Wei 004; Yuexiang Li; Yefeng Zheng 001 (MICCAI (10), 2023)

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. - Huimin Huang 002; Yawen Huang; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Yefeng Zheng 001 (ACM Multimedia, 2023)

Learning Visual Prior via Generative Pre-Training. - Jinheng Xie; Kai Ye 004; Yudong Li 001; Yuexiang Li; Kevin Qinghong Lin; Yefeng Zheng 001; Linlin Shen; Mike Zheng Shou (NeurIPS, 2023)

Dynamically Masked Discriminator for GANs. - Wentian Zhang; Haozhe Liu; Bing Li 024; Jinheng Xie; Yawen Huang; Yuexiang Li; Yefeng Zheng 001; Bernard Ghanem (NeurIPS, 2023)

A New Perspective to Boost Vision Transformer for Medical Image Classification. - Yuexiang Li; Yawen Huang; Nanjun He; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2023)

Improving GAN Training via Feature Space Shrinkage. - Haozhe Liu; Wentian Zhang; Bing Li 024; Haoqian Wu; Nanjun He; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2023)

Open-World Weakly-Supervised Object Localization. - Jinheng Xie; Zhaochuan Luo; Yuexiang Li; Haozhe Liu; Linlin Shen; Mike Zheng Shou (CoRR, 2023)

VisorGPT: Learning Visual Prior via Generative Pre-Training. - Jinheng Xie; Kai Ye 004; Yudong Li 001; Yuexiang Li; Kevin Qinghong Lin; Yefeng Zheng 001; Linlin Shen; Mike Zheng Shou (CoRR, 2023)

Cross-Modal Vertical Federated Learning for MRI Reconstruction. - Yunlu Yan; Hong Wang 021; Yawen Huang; Nanjun He; Lei Zhu 002; Yuexiang Li; Yong Xu 001; Yefeng Zheng 001 (CoRR, 2023)

Dynamically Masked Discriminator for Generative Adversarial Networks. - Wentian Zhang; Haozhe Liu; Bing Li 024; Jinheng Xie; Yawen Huang; Yuexiang Li; Yefeng Zheng 001; Bernard Ghanem (CoRR, 2023)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Rick Siow Mong Goh; Lei Zhu 003 (CoRR, 2023)

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. - Dong Wei 004; Yawen Huang; Donghuan Lu; Yuexiang Li; Yefeng Zheng 001 (CoRR, 2023)

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. - Hexiang Zhou; Yawen Huang; Yuexiang Li; Yi Zhou 007; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2023)

InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images. - Hong Wang 021; Yuexiang Li; Haimiao Zhang; Deyu Meng; Yefeng Zheng 001 (Medical Image Anal., 2023)

Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation. - Junliang Chen 002; Weizeng Lu; Yuexiang Li; Linlin Shen; Jinming Duan 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. - Yi Lin 009; Zhiyong Qu; Hao Chen 011; Zhongke Gao; Yuexiang Li; Lili Xia; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (Medical Image Anal., 2023)

MIL-ViT: A multiple instance vision transformer for fundus image classification. - Qi Bi; Xu Sun 006; Shuang Yu; Kai Ma 002; Cheng Bian; Munan Ning; Nanjun He; Yawen Huang; Yuexiang Li; Hanruo Liu; Yefeng Zheng 001 (J. Vis. Commun. Image Represent., 2023)

A deep weakly semi-supervised framework for endoscopic lesion segmentation. - Yuxuan Shi; Hong Wang 021; Haoqin Ji; Haozhe Liu; Yuexiang Li; Nanjun He; Dong Wei 004; Yawen Huang; Qi Dai; Jianrong Wu; Xinrong Chen; Yefeng Zheng 001; et al. (Medical Image Anal., 2023)

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. - Qi Bi; Jingjun Yi; Hao Zheng 008; Wei Ji 011; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (AAAI, 2024)

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. - Huimin Huang 002; Yawen Huang; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Yefeng Zheng 001 (AAAI, 2024)

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. - Huimin Huang 002; Yawen Huang; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Hao Zheng 008; Yuexiang Li; Yefeng Zheng 001 (CVPR, 2024)

Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. - Qi Bi; Hao Zheng 008; Xu Sun 006; Jingjun Yi; Wentian Zhang; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (ICASSP, 2024)

A New Perspective to Boost Performance Fairness For Medical Federated Learning. - Yunlu Yan; Lei Zhu 003; Yuexiang Li; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026; Salman H. Khan 001; Chun-Mei Feng 001 (MICCAI (10), 2024)

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. - Jingjun Yi; Qi Bi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Shaoxin Li 001; Yuexiang Li; Yefeng Zheng 001; Feiyue Huang (MICCAI (10), 2024)

Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation. - Jingjun Yi; Qi Bi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (ACM Multimedia, 2024)

Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading. - Qi Bi; Jingjun Yi; Hao Zheng 008; Wei Ji 011; Haolan Zhan; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (NeurIPS, 2024)

Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation. - Qi Bi; Jingjun Yi; Hao Zheng 008; Haolan Zhan; Yawen Huang; Wei Ji 011; Yuexiang Li; Yefeng Zheng 001 (NeurIPS, 2024)

Triplet-branch network with contrastive prior-knowledge embedding for disease grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yawen Huang; Jingxin Liu; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Zhiqiang Zhang; Guangming Lu 001; Yefeng Zheng 001 (Artif. Intell. Medicine, 2024)

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation. - Jingjun Yi; Qi Bi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (CoRR, 2024)

{S3-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation. - Gui Wang; Yuexiang Li; Wenting Chen; Meidan Ding; Wooi Ping Cheah; Rong Qu; Jianfeng Ren; Linlin Shen (CoRR, 2024)

Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing. - Zhenyu Wen; Yuheng Ye; Jie Su 001; Taotao Li; Jinhao Wan; Shilian Zheng; Zhen Hong; Shibo He; Haoran Duan 001; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (IEEE Intell. Syst., 2024)

Improving vision transformer for medical image classification via token-wise perturbation. - Yuexiang Li; Yawen Huang; Nanjun He; Kai Ma 002; Yefeng Zheng 001 (J. Vis. Commun. Image Represent., 2024)

Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship. - Quanziang Wang; Renzhen Wang; Yuexiang Li; Dong Wei 004; Hong Wang 021; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Multim., 2024)

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. - Qingsong Xie; Yuexiang Li; Nanjun He; Munan Ning; Kai Ma 002; Guoxing Wang; Yong Lian 001; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2024)

Anomaly detection via gating highway connection for retinal fundus images. - Wentian Zhang; Haozhe Liu; Jinheng Xie; Yawen Huang; Yu Zhang 185; Yuexiang Li; Raghavendra Ramachandra; Yefeng Zheng 001 (Pattern Recognit., 2024)

Adversarial Medical Image With Hierarchical Feature Hiding. - Qingsong Yao; Zecheng He; Yuexiang Li; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Hong Wang 021; Qi Xie; Qian Zhao 002; Yuexiang Li; Yong Liang 001; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. - Yawen Huang; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Guo-Jun Qi; Ling Shao 001; Yefeng Zheng 001 (Int. J. Comput. Vis., 2024)

Cross-Modal Vertical Federated Learning for MRI Reconstruction. - Yunlu Yan; Hong Wang 021; Yawen Huang; Nanjun He; Lei Zhu 003; Yong Xu 001; Yuexiang Li; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2024)

IDaTPA: importance degree based thread partitioning approach in thread level speculation. - Yuexiang Li; Zhiyong Zhang 002; Xinyong Wang; Shuaina Huang; Yaning Su (Discov. Comput., 2024)

Dual Teacher Knowledge Distillation With Domain Alignment for Face Anti-Spoofing. - Zhe Kong; Wentian Zhang; Tao Wang 052; Kaihao Zhang; Yuexiang Li; Xiaoying Tang 001; Wenhan Luo (IEEE Trans. Circuits Syst. Video Technol., 2024)

DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization. - Qi Bi; Jingjun Yi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Yuexiang Li (AAAI, 2025)

S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation. - Gui Wang; Yuexiang Li; Wenting Chen; Meidan Ding; Wooi Ping Cheah; Rong Qu; Jianfeng Ren; Linlin Shen (AAAI, 2025)

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation. - Qi Bi; Jingjun Yi; Huimin Huang 002; Hao Zheng 008; Haolan Zhan; Yawen Huang; Yuexiang Li; Xian Wu 001; Yefeng Zheng 001 (CVPR, 2025)

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. - Yunlu Yan; Huazhu Fu; Yuexiang Li; Jinheng Xie; Jun Ma 008; Guang Yang 006; Lei Zhu 003 (CVPR, 2025)

GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization. - Qi Bi; Jingjun Yi; Hao Zheng 008; Haolan Zhan; Yawen Huang; Wei Ji 011; Yuexiang Li; Yefeng Zheng 001 (Pattern Recognit., 2025)

Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions. - Yawen Huang; Huimin Huang 002; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Yefeng Zheng 001 (Int. J. Comput. Vis., 2025)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Ping Li 016; Rick Siow Mong Goh; Baiying Lei; Weiming Wang 002; David Dagan Feng; Lei Zhu 003 (IEEE J. Biomed. Health Informatics, 2025)

Open-world Weakly-Supervised Object Localization. - Jinheng Xie; Zhaochuan Luo; Rouyi Li; Yawen Huang; Haozhe Liu; Yuexiang Li; Yefeng Zheng 001; Yang Zhang; Linlin Shen; Mike Zheng Shou (Pattern Recognit., 2026)