Xiaohan XING

邢小涵

Postdoc Fellow

Department of Radiation Oncology,
Stanford University,
CA, US.

Email: xhxing AT stanford.edu


I am currently a Postdoc Fellow in the Department of Radiation Oncology of Stanford University, advised by Prof. Lei Xing. Before joining Stanford, I worked as a Postdoc Fellow in the Department of Electrical Engineering of City University of Hong Kong, advised by Prof. Yixuan Yuan. I obtained the 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. Prior to that, I received the B.S. degree in Biomedical Engineering, Shandong University in 2017.

My research interests include Deep Learning, Medical Image Analysis, and Omics Analysis.

I am looking for remote collaborators, please drop me an email if you are interested.

News

Selected Publications

Journal Papers

Conference Papers

  • Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels
    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
    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
    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

    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