| 2025 | ICCV | Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes. | Chuyan Zhang, Kefan Wang, Yun Gu |
| 2025 | IROS | R2Nav: Robust, Real-time Test Time Adaptation for Robot Assisted Endoluminal Navigation. | Junyang Wu, Yimin Chu, Haixia Peng, Yun Gu, Guang-Zhong Yang |
| 2025 | ICRA | Sim2real Within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images. | Junyang Wu, Yun Gu, Guang-Zhong Yang |
| 2024 | ICANN | TF-CL: Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning. | Wen Li, Yun Gu, Shouguo Du |
| 2024 | MICCAI | EAT-Mamba: Epicardial Adipose Tissue Segmentation from Multi-modal Dixon MRI. | Fan Feng, Abdallah Hasaballa, Fangqiang Xu, Jiayuan Yang, Yun Gu, Grace Wen, Carl-Johan Carlhll, Jichao Zhao |
| 2024 | MICCAI | ResNet-Based Convolutional Framework for Segmenting Left Atrial Scars and Cavities. | Malitha Gunawardhana, Fangqiang Xu, Yun Gu, Jichao Zhao |
| 2024 | MICCAI | Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation. | Fangqiang Xu, Wenxuan Tu, Fan Feng, Malitha Gunawardhana, Jiayuan Yang, Yun Gu, Jichao Zhao |
| 2024 | MICCAI | Computing Assessment for Liver Fibrosis Staging Using Real-World MR Images. | Hanxiao Zhang, Minghui Zhang, Xin You, Yun Gu, Guang-Zhong Yang |
| 2024 | MICCAI | Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures. | Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, Yun Gu |
| 2023 | AAAI | FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. | Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen |
| 2023 | ICIP | Variational Feature Disentanglement for Few-Shot Domain Adaptation. | Weiduo Wang, Yun Gu, Jie Yang |
| 2023 | ICRA | CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection. | Jiasheng Xu, Tianyi Zhang, Yangqian Wu, Jie Yang, Guang-Zhong Yang, Yun Gu |
| 2023 | MICCAI | Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation. | Yuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu |
| 2023 | MICCAI | Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage. | Xin You, Ming Ding, Minghui Zhang, Yangqian Wu, Yi Yu, Yun Gu, Jie Yang |
| 2023 | MICCAI | TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope. | Hao Yue, Yun Gu |
| 2023 | MICCAI | AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling. | Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang |
| 2022 | MICCAI | An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention. | Chao Xia, Jiyue Wang, Yulei Qin, Yun Gu, Bing Chen, Jie Yang |
| 2022 | MICCAI | A More Design-Flexible Medical Transformer for Volumetric Image Segmentation. | Xin You, Yun Gu, Junjun He, Hui Sun, Jie Yang |
| 2022 | MICCAI | Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. | Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang |
| 2022 | MICCAI | Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction. | Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang |
| 2022 | MICCAI | CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs. | Minghui Zhang, Hanxiao Zhang, Guang-Zhong Yang, Yun Gu |
| 2021 | ICASSP | Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. | Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang |
| 2021 | ICIP | Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation. | Ziyun Liang, Yun Gu, Jie Yang |
| 2021 | ICRA | Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing. | Jiaqi Liu, Yu Qiao, Jie Yang, Guang-Zhong Yang, Yun Gu |
| 2021 | MICCAI | FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. | Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu |
| 2021 | MICCAI | Refined Local-imbalance-based Weight for Airway Segmentation in CT. | Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang |
| 2020 | ICONIP | Part-Boundary-Aware Networks for Surgical Instrument Parsing. | Jiaqi Liu, Yu Qiao, Jie Yang, Yun Gu |
| 2020 | MICCAI | Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. | Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu |
| 2020 | MICCAI | Learning with Sure Data for Nodule-Level Lung Cancer Prediction. | Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang |
| 2020 | MICCAI | Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. | Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang |
| 2019 | MICCAI | Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting. | Yun Gu, Benjamin M. Walter, Jie Yang, Alexander Meining, Guang-Zhong Yang |
| 2019 | MICCAI | AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. | Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang |
| 2018 | ICRA | Multi-Stage Suture Detection for Robot Assisted Anastomosis Based on Deep Learning. | Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang |
| 2018 | IROS | Cross-Scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Feature Learning. | Yun Gu, Yang Hu, Lin Zhang, Jie Yang, Guang-Zhong Yang |
| 2018 | MICCAI | Weakly Supervised Representation Learning for Endomicroscopy Image Analysis. | Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang |
| 2018 | MICCAI | Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. | Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang |
| 2017 | MICCAI | Unsupervised Feature Learning for Endomicroscopy Image Retrieval. | Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang |
| 2016 | CVPR | Multi-view Multi-modal Feature Embedding for Endomicroscopy Mosaic Classification. | Yun Gu, Jie Yang, Guang-Zhong Yang |
| 2016 | ICIP | Congenital heart disease (CHD) discrimination in fetal echocardiogram based on 3D feature fusion. | Liqun Ji, Yun Gu, Kun Sun, Jie Yang, Yu Qiao |
| 2016 | ICONIP | Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature. | Chao Ma, Yun Gu, Wei Liu, Jie Yang, Xiangjian He |
| 2015 | ICIP | Cross-modality hashing with partial correspondence. | Yun Gu, Haoyang Xue, Jie Yang, Pengfei Shi |
| 2015 | ICIP | Reranking of person re-identification by manifold-based approach. | Shuai Huang, Yun Gu, Jie Yang, Pengfei Shi |
| 2015 | ICIP | NSLIC: SLIC superpixels based on nonstationarity measure. | Shaoyong Jia, Shijie Geng, Yun Gu, Jie Yang, Pengfei Shi, Yu Qiao |
| 2015 | ICIP | RGB-D saliency detection via mutual guided manifold ranking. | Haoyang Xue, Yun Gu, Yijun Li, Jie Yang |
| 2015 | ICONIP | Adaptive Location for Multiple Salient Objects Detection. | Shaoyong Jia, Yuding Liang, Xianyang Chen, Yun Gu, Jie Yang, Nikola K. Kasabov, Yu Qiao |
| 2014 | ICONIP | Automatic Image Annotation Exploiting Textual and Visual Saliency. | Yun Gu, Haoyang Xue, Jie Yang, Zhenhong Jia |
| 2014 | ICONIP | Shape Preserving RGB-D Depth Map Restoration. | Wei Liu, Haoyang Xue, Yun Gu, Jie Yang, Qiang Wu, Zhenhong Jia |
| 2013 | CIKM | LCMKL: latent-community and multi-kernel learning based image annotation. | Qing Li, Yun Gu, Xueming Qian |
| 2013 | INFOCOM | A novel method to detect bad data injection attack in smart grid. | Ting Liu, Yun Gu, Dai Wang, Yuhong Gui, Xiaohong Guan |
| 2013 | INFOCOM | A novel method to detect bad data injection attack in smart grid. | Ting Liu, Yun Gu, Dai Wang, Yuhong Gui, Xiaohong Guan |
| 2011 | CCS | Poster: using quantified risk and benefit to strengthen the security of information sharing. | Weili Han, Chenguang Shen, Yuliang Yin, Yun Gu, Chen Chen |