Yun Gu Homepage

You can also find my articles on my Google Scholar profile

Journal Papers

X. You, M. Ding, M. Zhang, H. Zhang, J. Wu, Y. Yu, J. Yang, Y. Gu, Towards Boundary Confusion for Volumetric Medical Image Segmentation, Medical Image Analysis (MedIA), 2026— [code]
J. Wu, Y. Gu, G.-Z. Yang, Trimming-then-Augmentation: Towards Robust Depth and Odometry Estimation for Endoscopic Images, Medical Image Analysis (MedIA), 2026 — code
C. Zhang, K. Wang, Y. Gu, Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes, IEEE International Conference on Computer Vision (ICCV), 2025 — code
Z. Huang, Z. Deng, J. Ye, H. Wang, Y. Su, T. Li, H. Sun, J. Cheng, J. Chen, J. He, Y. Gu, S. Zhang, L. Gu, Y. Qiao, A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation, Medical Image Analysis (MedIA), 2025
C. Zhang, H. Zheng, X. You, Y. Zheng, Y. Gu, PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation, IEEE Transactions on Medical Imaging (TMI), 2025 — code
X. You, J. He, J. Yang, Y. Gu, Learning with Explicit Shape Priors for Medical Image Segmentation, IEEE Transactions on Medical Imaging (TMI), 2025 — code
X. You, Y. Lou, M. Zhang, J. Yang, Y. Gu, SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation, IEEE Journal of Biomedical and Health Informatics (JBHI), 2025
C. Zhang, Y. Yang, H. Zheng, Y. Huang, Y. Zheng, Y. Gu, Normalization as a Shortcut to Adaptation: A Unified Framework for Transferability Measurement in Medical Image Analysis, Pattern Recognition (PR), 2024 — code
P. Wang, D. Guo, D. Zheng, M. Zhang, H. Yu, X. Sun, J. Ge, Y. Gu, L. Lu, X. Ye, D. Jin, Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning, IEEE Transactions on Medical Imaging (TMI), 2024
Y. Nan, …, M. Zhang, Y. Gu, H. Zhang, …, Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge, Medical Image Analysis (MedIA), 2024
M. Zhang, Y. Gu, Towards Connectivity-Aware Pulmonary Airway Segmentation, IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 — code
M. Zhang, …, Y. Gu, Multi-site, Multi-domain Airway Tree Modeling, Medical Image Analysis (MedIA), 2023
C. Zhang, H. Zheng, X. You, Y. Zheng, Y. Gu, Dive into the Details of Self-supervised Learning for Medical Image Analysis, Medical Image Analysis (MedIA), 2023 — code
C. Xia, J. Wang, Y. Qin, J. Wen, Z. Liu, N. Song, L. Wu, B. Chen, Y. Gu, J. Yang, KaryoNet: An End-to-End Combinatorial Optimization Method for Chromosome Recognition in Metaphase Cell Images, IEEE Transactions on Medical Imaging (TMI), 2023
C. Zhang, G.-Z. Yang, Y. Gu, Constrastive Adversarial Learning for Unsupervised Endomicroscopy Image Super-Resolution, IEEE Journal of Biomedical and Health Informatics (JBHI), 2023
Y. Gu, Single-shot Focus Estimation for Microscopy Imaging with Kernel Distillation, IEEE Transactions on Computational Imaging (TCI), 2023
H. Zhang, L. Chen, X. Gu, M. Zhang, Y. Qin, F. Yao, Z. Wang, Y. Gu, G.-Z. Yang, Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT, Medical Image Analysis (MedIA), 2023
W. Yu, H. Zheng, Y. Gu, F. Xie, J. Yang, J. Sun, G.-Z. Yang, TNN: Tree Neural Network for Airway Anatomical Labeling, IEEE Transactions on Medical Imaging (TMI), 2023
Y. Gu, C. Gu, J. Yang, J. Sun, G.-Z. Yang, Vision-Kinematics-Interaction for Robotic-Assisted Bronchoscopy Navigation, IEEE Transactions on Medical Imaging (TMI), 2022
Y. Gu, Y. Xu, J. Yang, W. Xue, G.-Z. Yang, Towards Robust Feature Embedding for Endomicroscopy Image Classification, IEEE Transactions on Medical Imaging (TMI), 2022
H. Zheng, Y. Qin, Y. Gu, F. Xie, J. Yang, J. Sun, G.-Z. Yang, Alleviating class-wise gradient imbalance for pulmonary airway segmentation, IEEE Transactions on Medical Imaging (TMI), 2021
Y. Qin, H. Zheng, Y. Gu, X. Huang, J. Yang, L. Wang, F. Yao, Y.-M. Zhu, G.-Z. Yang, Learning tubule-sensitive CNNs for pulmonary airway and artery-vein segmentation in CT, IEEE Transactions on Medical Imaging (TMI), 2021
Y. Gu, K. Vyas, M. Shen, J. Yang, G.-Z. Yang, Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
Y. Gu, K. Vyas, J. Yang, G.-Z. Yang, Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition, IEEE Transactions on Medical Imaging (TMI), 2019
Y. Gu, M. Shen, J. Yang, G.-Z. Yang, Reliable Label-Efficient Learning for Biomedical Image Recognition, IEEE Transactions on Biomedical Engineering (TBME), 2019
Y. Gu, J. Yang, Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval, IEEE Journal of Biomedical and Health Informatics (JBHI), 2019
Y. Gu, X. Qian, Q. Li, M. Wang, R. Hong, Q. Tian, Image annotation by latent community detection and multikernel learning, IEEE Transactions on Image Processing (TIP), 2015

Conference Papers

C. Li, M. Zhang, C. Zhang, Y. Gu, Reflecting Topology Consistency and Abnormality via Learnable Attentions, IPCAI, 2025 — code
J. Wu, Yimin Chu, Haixia Peng, Y. Gu, G.-Z. Yang, R2Nav: Robust, Real-time Test Time Adaptation for Robot Assisted Endoluminal Navigation, IROS, 2025 — code
J. Wu, Y. Gu, G.-Z. Yang, Sim2Real within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images, ICRA, 2025
M. Zhang, H. Zhang, X. You, G.-Z. Yang, Y. Gu, Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures, MICCAI, 2024 — code
H. Yue, Y. Gu, TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope, MICCAI, 2023 — code
X. You, Y. Gu, Y. Wu, M. Zhang, M. Ding, Y. Yu, J. Yang, Semantic difference guidance for the uncertain boundary segmentation of CT left atrium appendage, MICCAI, 2023
Y. Yang, M. Wei, J. He, J. Yang, J. Ye, Y. Gu, Pick the Best Pre-trained Model: Towards Transferability Estimation For Medical Image Segmentation, MICCAI (Early Accepted), 2023 — code
W. Yu, H. Zheng, Y. Gu, F. Xie, J. Sun, J. Yang, AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling, MICCAI (Early Accepted), 2023 — code
J. Xu, T. Zhang, Y. Wu, J. Yang, G.-Z. Yang, Y. Gu, CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection, ICRA, 2023
H. Zhang, M. Zhang, Y. Gu, G.-Z. Yang, Deep Anatomy Learning for Lung Airway and Artery-vein Modeling with Contrast-enhanced CT Synthesis, IPCAI (ML for CAI Award), 2023
M. Zhang, H. Zhang, G.-Z. Yang, Y. Gu, CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs, MICCAI (Early Accepted, Student Travel Award), 2022 — code
C. Xia, J. Wang, Y. Qin, Y. Gu, B. Chen, J. Yang, An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention, MICCAI (Early Accepted), 2022
Y. Wu, M. Zhang, W. Yu, H. Zheng, J. Xu, Y. Gu, LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation, IPCAI (Best Bench-to-Bedside Paper Award), 2022 — code
H. Zheng, Y. Qin, Y. Gu, F. Xie, J. Sun, J. Yang, G.-Z. Yang, Refined Local-imbalance-based Weight for Airway Segmentation in CT, MICCAI, 2021
C. Zhang, Y. Gu, J. Yang, G.-Z. Yang, Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing, ICRA (with RAL submission), 2021
J. Liu, Y. Qiao, J. Yang, G.-Z. Yang, Y. Gu, Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing, ICRA, 2021
H. Zhang, Y. Gu, Y. Qin, F. Yao, G.-Z. Yang, Learning with sure data for nodule-level lung cancer prediction, MICCAI, 2020
H. Zheng, Z. Zhuang, Y. Qin, Y. Gu, J. Yang, G.-Z. Yang, Weakly supervised deep learning for breast cancer segmentation with coarse annotations, MICCAI, 2020
Y. Qin, H. Zheng, Y. Gu, X. Huang, J. Yang, L. Wang, Y.-M. Zhu, Learning bronchiole-sensitive airway segmentation CNNs by feature recalibration and attention distillation, MICCAI (Early Accepted), 2020
M. Shen, Y. Gu, N. Liu, G.-Z. Yang, Context-aware depth and pose estimation for bronchoscopic navigation, ICRA (with RAL submission), 2019
Y. Gu, K. Vyas, J. Yang, G.-Z. Yang, Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting, MICCAI, 2019
Y. Qin, M. Chen, H. Zheng, Y. Gu, M. Shen, J. Yang, X. Huang, Y.-M. Zhu, G.-Z. Yang, AirwayNet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks, MICCAI, 2019
Y. Gu, Y. Hu, L. Zhang, J. Yang, G.-Z. Yang, Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads, TBME / related venue landing (search), 2023
Y. Hu, Y. Gu, J. Yang, G.-Z. Yang, Multi-stage suture detection for robot assisted anastomosis based on deep learning, ICRA, 2018
Y. Gu, Y. Hu, L. Zhang, J. Yang, G.-Z. Yang, Cross-scene suture thread parsing for robot assisted anastomosis based on joint feature learning, IROS, 2018
H. Zheng, Y. Gu, Y. Qin, X. Huang, J. Yang, G.-Z. Yang, Small lesion classification in dynamic contrast enhancement MRI for breast cancer early detection, MICCAI, 2018
Y. Gu, K. Vyas, J. Yang, G.-Z. Yang, Weakly supervised representation learning for endomicroscopy image analysis, MICCAI (Early Accepted, Student Travel Award), 2018
Y. Gu, K. Vyas, J. Yang, G.-Z. Yang, Unsupervised feature learning for endomicroscopy image retrieval, MICCAI, 2017
Y. Gu, C. Ma, J. Yang, Supervised recurrent hashing for large scale video retrieval, ACM MM, 2016