Yongchao Xu  许永超

Selected Publications

1. Donggen Fang, Yuliang Gu, Lingyi Yu, Bo Du, Yongchao Xu*, Lianming Wu*, Incorporating modality-specific intensity prior as text prompt for multimodal myocardial pathology segmentation, Medical Image Analysis (MedIA), 2026

2. Donggen Fang, Yuliang Gu, Lingyi Yu, Bo Du, Yongchao Xu*, Lianming Wu*, Prompt-Guided Modality Completion for Cardiac Pathology Segmentation, Pattern Recognition (PR), 2026

3. Jinchi Zhu, Zhou Zhao, Hailong Lei, Xiaoguang Wang, Jialiang Lu, Jing Li, Qianqian Tang, Jiachen Shen, Gui-Song Xia*, Bo Du*, Yongchao Xu*, Rejoining fragmented ancient bamboo slips with physics-driven deep learning, Nature Communications (NC), 2026

4. Zelong Liu, Yuliang Gu, Zhichao Sun, Huachao Zhu, Xin Xiao, Bo Du, Laurent Najman, Yongchao Xu*, Coarse-to-fine crack cue for robust crack detection, Pattern Recognition (PR), 2026

5. Yuliang Gu, Weilun Tsao, Yepeng Liu, Lianming Wu, Thierry Géraud, Bo Du, Yongchao Xu*, Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation, IEEE Transactions on Medical Imaging (TMI), 2026

6. Yaowei Bai, Ruiheng Zhang, Yu Lei, Xuhua Duan, Jingfeng Yao, Shuguang Ju, Chaoyang Wang, Wei Yao, Yiwan Guo, Guilin Zhang, Chao Wan, Qian Yuan, Lei Chen, Wenjuan Tang, Biqiang Zhu, Xinggang Wang, Tao Sun, Wei Zhou, Dacheng Tao*, Yongchao Xu*, Chuansheng Zheng*, Huangxuan Zhao*, Bo Du*, A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice, Nature Communications (NC), Accepted, 2026

7. Huachao Zhu, Zelong Liu, Zhichao Sun, Wenhui Dong, Xin Xiao, Zerui Zhang, Yongchao Xu*, Anomaly or Characteristic: Memory-based Coarse-to-Fine Feature Fusion for Industrial Anomaly Detection, IEEE Transactions on Multimedia (TMM), 2026

8. Jing Wang, Yongchao Xu*, Jing Tang, Zeyu Gong, Bo Tao, Clarence W De Silva, Xiang Bai, Vicinal Gaussian Transform: Rethinking Source-Free Domain Adaptation through Source-Informed Label Consistency, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

9. Wenhui Dong, Bo Du, Yongchao Xu*, Shape-intensity knowledge distillation for robust medical image segmentation, Frontiers of Computer Science (FCS), 2025

10. Xin Xiao, Daiguo Zhou, Jiagao Hu, Yi Hu, Yongchao Xu*, Not all pixels are equal: Learning pixel hardness for semantic segmentation, International Journal of Computer Vision (IJCV), 2025

11. Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu*, Jun Cheng, MIFNet: Learning modality-invariant features for generalizable multimodal image matching, IEEE Transactions on Image Processing (TIP), 2025

12. Yepeng Liu, Wenpeng Lai, Yuliang Gu, Gui-Song Xia, Bo Du, Yongchao Xu*, Learning modality-invariant feature for multimodal image matching via knowledge distillation, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025

13. Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu*, Laurent Najman, Dual structure-aware image filterings for semi-supervised medical image segmentation, Medical Image Analysis (MedIA), 2024

14. Qian Tang, Yapeng Li, Yongchao Xu*, Bo Du*, Enhancing building footprint extraction with partial occlusion by exploring building integrity, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024

15. Chenfeng Xu, Dingkang Liang, Yongchao Xu*, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka, Autoscale: Learning to scale for crowd counting, International Journal of Computer Vision (IJCV), 2022

16. Tianyi Shi, Nicolas Boutry, Yongchao Xu*, Thierry Géraud, Local intensity order transformation for robust curvilinear object segmentation, IEEE Transactions on Image Processing (TIP), 2022

17. Xiang Bai#, Hanchen Wang#, Liya Ma#, Yongchao Xu#, Jiefeng Gan#, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J Halin, Ihab R Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena E Sanchez, Evis Sala, Daniel L Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia, Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence, Nature Machine Intelligence (NMI), 2021

18. Yajie Chen, Dingkang Liang, Xiang Bai, Yongchao Xu*, Xin Yang*, Cell localization and counting using direction field map, IEEE Journal of Biomedical and Health Informatics (JBHI), 2021

19. Yongchao Xu, Yukang Wang, Stavros Tsogkas, Jianqiang Wan, Xiang Bai, Sven Dickinson, Kaleem Siddiqi, Deepflux for skeleton detection in the wild, International Journal of Computer Vision (IJCV), 2021

20. Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai, Gliding vertex on the horizontal bounding box for multi-oriented object detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

21. Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu*, Affinity space adaptation for semantic segmentation across domains, IEEE Transactions on Image Processing (TIP), 2021

22. Tengteng Huang, Yongchao Xu*, Song Bai, Yongpan Wang, Xiang Bai, Feature context learning for human parsing, Science China Information Sciences (SCIS), 2019

23. Jun Tang, Zhibo Yang, Yongpan Wang, Qi Zheng, Yongchao Xu*, Xiang Bai, Seglink++: Detecting dense and arbitrary-shaped scene text by instance-aware component grouping, Pattern Recognition (PR), 2019

24. Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai, Textfield: Learning a deep direction field for irregular scene text detection, IEEE Transactions on Image Processing (TIP), 2019

25. Yongchao Xu#*, Baptiste Morel#, Sonia Dahdouh, Élodie Puybareau, Alessio Virzì, Héléne Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch, The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities, Medical Image Analysis (MedIA), 2018

26. Yongchao Xu, Edwin Carlinet, Thierry Géraud, Laurent Najman, Hierarchical segmentation using tree-based shape spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017

27. Yongchao Xu, Thierry Géraud, Laurent Najman, Connected filtering on tree-based shape-spaces, , IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

28. Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Najman, Tree-based morse regions: A topological approach to local feature detection, IEEE Transactions on Image Processing (TIP), 2014

Selected Conference Publications

1. Yepeng Liu, Hao Li, Liwen Yang, Fangzhen Li, Xudi Ge, Yuliang Gu, Bing Wang, Guang Chen, Hangjun Ye, Yongchao Xu*, From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection, CVPR Oral, 2026

2. Qianqian Tang, Jinchi Zhu, Xiaolu Zhou, Yongchao Xu*, Physics-Guided Multistep Deformation Reversal for Ancient Bamboo Slip Restoration, CVPR, 2026

3. Zhichao Sun, Yepeng Liu, Zhiling Su, Huachao Zhu, Yuliang Gu, Yuda Zou, Zelong Liu, Gui-Song Xia, Bo Du, Yongchao Xu*, RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes, CVPR Findings, 2026

4. Zhichao Sun, Yidong Ma, Gang Liu, Yibo Chen, Xu Tang, Yao Hu, Yongchao Xu*, IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning, ICLR, 2026

5. Yuda Zou, Zijian Zhang, Yongchao Xu*, Decoupling What to Count and Where to See for Referring Expression Counting, AAAI, 2026

6. Zhichao Sun, Huazhang Hu, Yidong Ma, Gang Liu, Yibo Chen, Xu Tang, Yao Hu, Yongchao Xu*, CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection, NeurIPS, 2025

7. Huachao Zhu, Zelong Liu, Zhichao Sun, Yuda Zou, Gui-Song Xia, Yongchao Xu*, Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes, ICCV, 2025

8. Zhikai Wei, Chao Wu, Hanyu Du, Rui Yu, Bo Du*, Yongchao Xu*, Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation, MICCAI, 2025

9. Zelong Liu, Huachao Zhu, Zhichao Sun, Yuda Zou, Yuliang Gu, Bo Du*, Yongchao Xu*, Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis, MICCAI, 2025

10. Yuliang Gu, Zhichao Sun, Zelong Liu, Yongchao Xu*, Test-Time Training with Local Contrast-Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation, MICCAI, 2025

11. Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu*, LiftFeat: 3D geometry-aware local feature matching, ICRA, 2025

12. Weixi Zheng, Aoling Huang, Jingping Yuan, Haoyu Zhao, Zhou Zhao, Yongchao Xu*, Thierry Géraud, Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification, ICASSP, 2025

13. Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu*, Jun Cheng, Progressive retinal image registration via global and local deformable transformations, BIBM, 2024

14. Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu*, Laurent Najman, Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation, BIBM, 2024

15. Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu*, Shifted autoencoders for point annotation restoration in object counting, ECCV, 2024

16. Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu*, Prompting segment anything model with domain-adaptive prototype for generalizable medical image segmentation, MICCAI, 2024

17. Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu*, Morestyle: relax low-frequency constraint of fourier-based image reconstruction in generalizable medical image segmentation, MICCAI, 2024

18. Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du*, Yongchao Xu*, Spatial-aware attention generative adversarial network for semi-supervised anomaly detection in medical image, MICCAI, 2024

19. Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu*, Rui Yu, WIA-LD2ND: Wavelet-based image alignment for self-supervised low-dose CT denoising, MICCAI, 2024

20. Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu*, Position-guided prompt learning for anomaly detection in chest x-rays, MICCAI, 2024

21. Zhihao Li, Jiancheng Yang, Yongchao Xu*, Li Zhang, Wenhui Dong, Bo Du*, Scale-aware test-time click adaptation for pulmonary nodule and mass segmentation, MICCAI, 2023

22. Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu*, Intra-class feature variation distillation for semantic segmentation, ECCV, 2020

23. Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Richu Jin, Yongchao Xu*, Pay more attention to discontinuity for medical image segmentation, MICCAI, 2020

24. Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu*, Learning directional feature maps for cardiac MRI segmentation, MICCAI, 2020

25. Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu*, Super-BPD: Super boundary-to-pixel direction for fast image segmentation, CVPR, 2020

26. Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu*, Xiang Bai, Learn to scale: Generating multipolar normalized density maps for crowd counting, ICCV, 2019

27. Yukang Wang, Yongchao Xu*, Stavros Tsogkas, Xiang Bai, Sven Dickinson, Kaleem Siddiqi, Deepflux for skeletons in the wild, CVPR, 2019

28. Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu*, Xiang Bai, Hard-aware point-to-set deep metric for person re-identification, ECCV, 2018