Xiaohan XING

邢小涵

Assistant Professor

Department of Diagnostic Radiology,
Department of Electrical and Computer Engineering,
National University of Singapore (NUS)

Email: xhxing AT nus.edu.sg


I am an Assistant Professor at Department of Diagnostic Radiology and ECE at National University of Singapore (NUS). Before joining NUS, I was a postdoctoral researcher at Department of Radiation Oncology, Stanford University, working with Prof. Lei Xing currently a Postdoc Fellow in the Department of Radiation Oncology of Stanford University, advised by Prof. Lei Xing. I received my Ph.D. degree in the Department of Electronic Engineering, The Chinese University of Hong Kong in 2021, supervised by Prof. Max Q.-H. Meng and Prof. Hongsheng Li.

My research interests include artificial intelligence and its applications on healthcare, with an emphasized application to medical imaging, medical image analysis and multimodal learning. I recently work on 1）Multimodal AI for precision medicine, especially the integration of histopathology, genomics, and spatial omics; 2) AI for spatial biology and biomedical discovery; 3) Foundation models and AI agents.

*Opening!* The lab is looking for PhD (2027Spring)/Postdoc/Visiting students/RA/Interns, who are interested in medical AI, medical imaging, medical image analysis, multimodal learning. Students with strong self-motivation and publication record are preferred. Welcome to email me at this address after reading the details.

*Urgent!* As the deadline for 2027Spring PhD application is June 30, please contact me ASAP if you are interested!

News

Selected Publications

* First Author, ✉ Corresponding Author

Journal Papers

Conference Papers

  • H2-Surv: Hierarchical Hyperbolic Multimodal Representation Learning for Survival Prediction
    Jiaqi Yang, Wenting Chen, Xiangjian He✉, Yuanbai Li, Sen Yang, Linlin Shen, Xiaohan Xing✉.
    International Conference on Computer Vision and Pattern Recognition (CVPR 2026), Denver, USA.

  • A Survey of Artificial Intelligence in Endoscopic Surgery Workflow: From Perception to Surgical Support
    Juyan Ba, Hao Chen, Xiaohan Xing✉, Yi Wang✉.
    IJCAI-ECAI 2026 Survey Track, 2026.

  • One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution
    Xinyu Mao, Xiaohan Xing✉, Fei Meng, Jianbang Liu, Fan Bai, Qiang Nie, Max Q.-H. Meng✉.
    International Conference on Computer Vision (ICCV 2025), Hawaii, USA.

  • Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
    Qi Chen, Xiaohan Xing✉, Zhen Chen, Zhiwei Xiong.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), MOROCCO.

  • Multi-Contrast MRI Acceleration with K-Space Progressive Learning and Image-Space Self-to-Peer Aggregation
    Xiaohan Xing, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu.
    66th Annual Meeting of the American Society of Radiation Oncology (ASTRO 2024), Washington DC, United States. (Best of Physics, 5/1650)

  • Progressive K-Space Learning For MRI Reconstruction From Noisy And Sparse Acquisitions
    Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu.
    66th Annual Meeting & Exhibition of the American Association of Physicists in Medicine (AAPM 2024), LA, United States. (Oral)

  • Accelerated Multi-Contrast MRI Via A Self-To-Peer Aggregation Network
    Xiaohan Xing, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu.
    66th Annual Meeting & Exhibition of the American Association of Physicists in Medicine (AAPM 2024), LA, United States. (Oral)

  • Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels [paper]
    Xiaohan Xing, Zhen Chen, Zhifan Gao, Yixuan Yuan.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2023), Canada.

  • Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading [paper]
    Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2022), Singapore.

  • Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification [paper]
    Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q.-H. Meng.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2021).

  • An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data [paper]
    Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, and Jianhua Yao.
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021.

  • Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification [paper]
    Xiaohan Xing, Yixuan Yuan, Max Q.-H. Meng.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

  • A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images [paper]
    Xiaohan Xing, Yixuan Yuan, Xiao Jia, Max Q.-H. Meng.
    IEEE International Symposium on Biomedical Imaging (ISBI), 2019.

  • Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier
    Xiaohan Xing, Xiao Jia, Max Q.-H. Meng.
    IEEE Engineering in Medicine and Biology Society (EMBC), 2018.

  • Locate before Segment: Topology-guided Retinal Layer Segmentation in Optical Coherence Tomography Images
    Ye Lu, Yutian Shen, Xiaohan Xing, Max Q.-H. Meng.
    IEEE International Conference on Robotics and Automation (ICRA), 2023.

  • Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
    Fan Bai, Xiaohan Xing, Yutian Shen, Han Ma, Max Q.-H. Meng.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2022), Singapore.

  • Multiple Consistency Supervision based Semi-supervised OCT Segmentation using Very Limited Annotations
    Ye Lu, Yutian Shen, Xiaohan Xing, Max Q.-H. Meng.
    IEEE International Conference on Robotics and Automation (ICRA), 2022.

  • Unseen Domain Generalization for Prostate MRI Segmentation via Disentangled Representations
    Ye Lu, Xiaohan Xing, Max Q.-H. Meng.
    IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021.

  • Multibranch learning for angiodysplasia segmentation with attention-guided networks and domain adaptation
    Xiao Jia, Xiaochun Mai, Xiaohan Xing, Yutian Shen, Jiankun Wang, Max Q.-H. Meng.
    IEEE International Conference on Robotics and Automation (ICRA), 2021.

  • Multi-modal multi-instance learning using weakly correlated histopathological images and tabular clinical information
    Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2021).

  • DT-MIL: deformable transformer for multi-instance learning on histopathological image
    Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao.
    International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2021).

    • Book Chapter

    • Deep Learning-Driven Models for Endoscopic Image Analysis
      Xiao Jia, Xiaohan Xing, Yixuan Yuan, Max Q.-H. Meng.
      Advances in Artificial Intelligence, Computation, and Data Science, pp 271-300.

Selected Awards

    Postdoctoral Dean's Fellowship, School of Medicine, Stanford University, 2025 (37k USD).

    Seed Grant, Medical Physics, Stanford University, 2024 (6k USD).

    ASTRO, Best of Physics, 2024.

    MICCAI Young Scientist Award, 2022.

    Outstanding Graduates of Shandong Province, 2017.

    Outstanding Undergraduate Thesis Award, Shandong University, 2017.

    Outstanding Students Award, Shandong Province, 2016.

    National Scholarship in China, 2014 & 2015 & 2016.

    First-class Scholarship for Outstanding Students, Shandong University, 2014 & 2015 & 2016.

Professional Activities

  • Conference Service

    Area Chair, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

    Session Chair, IEEE International Conference on Robotics and Automation (ICRA), 2021.

    Session Chair, IEEE International Conference on Information and Automation (ICIA), 2018.

  • Journal Reviews

    IEEE Transactions on Medical Imaging.

    IEEE Journal of Biomedical and Health Informatics.

    IEEE Sensors Journal.

    IEEE Access.

  • Technical Reviewers

    MICCAI, 2021 & 2022 & 2023.

    ICRA, 2021.

    ICIA, 2018.


© Xiaohan Xing | Last updated: Feb. 2024