Xiaoling Hu

Postdoctoral Research Fellow

Athinoula A. Martinos Center for Biomedical Imaging

MGH/Harvard Medical School

Research Statement / CV / Linkedin / Twitter / Scholar / Github / arXiv

I am maintaining a GitHub repo: Topology-Driven (Deep) Image Analysis. Please feel free to contribute!

I am currently a Postdoctoral Research Fellow at MGH/Harvard Medical School, hosted by Prof. Juan Eugenio Iglesias and Prof. Bruce Fischl.

I obtained my PhD degree from the Department of Computer Science at Stony Brook University. Before that, I obtained my master and bachelor degrees from Tsinghua University and Huazhong University of Science and Technology, respectively.

Research Interests: My research focuses on Machine Learning for Healthcare, with an emphasis on developing core AI/ML algorithms for healthcare applications. In particular, I am interested in:

Topology-Driven Deep Image Analysis [NeurIPS'19, ICLR'21, ICLR'22, ECCV'22, NeurIPS'22, ICLR'23b, NeurIPS'23, ECCV'24a, CVPR'25]

Learning with Reliability, Interpretability, and Robustness [ICLR'23a, ICLR'23b, ICCV'23a, ICCV'23b, NeurIPS'23, ECCV'24a, MedIA'24, ICLR'25]

Multimodal AI [ICCV'23a, ECCV'24b, arXiv'24b] and Generative AI (GenAI) [arXiv'24a, CVPR'25] for Healthcare

Healthcare Applications [ECCV'22, ICCV'23a, MedIA'24, ECCV'24a, ECCV'24b, arXiv'24a, arXiv'24b, ICLR'25, CVPR'25]

Email Address: xihu3 at mgh dot harvard dot edu

Contact Address: 149 13th St, Charlestown, MA 02129

Mentoring

Chen Li (Ph.D. student at Department of BMI, Stony Brook University)

Meilong Xu (Ph.D. student at Department of CS, Stony Brook University)

Wentao Huang (Ph.D. student at Department of CS, Stony Brook University)

Qingqiao Hu (Ph.D. student at Department of CS, Stony Brook University)

Recent Services

Area Chair, MICCAI 2025

Area Chair, NeurIPS 2025

Organizer

MICCAI 2023 Tutorial on Topology-Driven Image Analysis

MICCAI 2024 Workshop on The First Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3)

Selected Publications (Full Publications)

(* denotes equal contributions, ^† denotes students (co-)mentored by me, ^‡ denotes co-senior supervision)

Preprints

	*NEW! Learn2Synth: Learning Optimal Data Synthesis using Hypergradients for Brain Image Segmentation* Xiaoling Hu, Xiangrui Zeng, Oula Puonti, Juan Eugenio Iglesias, Bruce Fischl^‡, Yaël Balbastre^‡ Tech report arXiv Code
	*NEW! RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency* Wentao Huang^†, Meilong Xu^†, Xiaoling Hu, ..., Chao Chen Tech report arXiv

Papers

	*NEW! TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model* Meilong Xu^†, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Oral Presentation, Top 3.3% of accepted papers) Paper Code
	NEW! Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti^‡, Juan Eugenio Iglesias^‡ International Conference on Learning Representations (ICLR), 2025 Paper OpenReview Code Slide Poster
	Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency Meilong Xu^†, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen European Conference on Computer Vision (ECCV), 2024 Paper Code Slide Poster
	Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias European Conference on Computer Vision (ECCV), 2024 Paper Code
	Registration by Regression (RbR): a framework for interpretable and flexible atlas registration Karthik Gopinath, Xiaoling Hu*, Malte Hoffmann, Oula Puonti^‡, Juan Eugenio Iglesias^‡ Workshop on Biomedical Image Registration-MICCAI, 2024* Paper Code
	Anomaly-guided weakly supervised lesion segmentation on retinal OCT images Jiaqi Yang^†, Nitish Mehtac, Gozde Demirci^†, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai Medical Image Analysis (MedIA), 2024 Paper
	Topology-Aware Uncertainty for Image Segmentation Saumya Gupta^†, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 Short version is also presented at NeurReps Workshop Paper Code Poster
	Calibrating Uncertainty for Semi-Supervised Crowd Counting Chen Li^†, Xiaoling Hu, Shahira Abousamra, Chao Chen International Conference on Computer Vision (ICCV), 2023 Paper Code Slide Poster Video
	Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer^†, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna International Conference on Computer Vision (ICCV), 2023 Paper Slide
	Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu, Dimitris Samaras, Chao Chen International Conference on Learning Representations (ICLR), 2023 (Spotlight Presentation, notable-top-25% of accepted papers) Short version is selected as Oral Presentation* at Medical Imaging meets NeurIPS Workshop* Paper OpenReview Code Slide Poster
	Confidence Estimation Using Unlabeled Data Chen Li^†, Xiaoling Hu, Chao Chen International Conference on Learning Representations (ICLR), 2023 Paper OpenReview Code Slide Poster
	Structure-Aware Image Segmentation with Homotopy Warping Xiaoling Hu Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022 Paper OpenReview Code Slide Poster
	Learning Topological Interactions for Multi-Class Medical Image Segmentation Saumya Gupta^†, Xiaoling Hu*, ..., Prateek Prasanna, Chao Chen European Conference on Computer Vision (ECCV), 2022 (Oral Presentation, acceptance rate 2.7%*) Paper Code Slide Poster Video
	Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen International Conference on Learning Representations (ICLR), 2022 Paper OpenReview Code Slide Poster
	Topology-aware Segmentation Using Discrete Morse Theory Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen International Conference on Learning Representations (ICLR), 2021 (Spotlight Presentation, acceptance rate 5.6%) Paper OpenReview Code Slide Poster
	Topology-Preserving Deep Image Segmentation Xiaoling Hu, Li Fuxin, Dimitris Samaras, Chao Chen Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019 Paper Code Slide Poster

Thesis

Learning Topological Representations for Deep Image Understanding
Xiaoling Hu
PhD Dissertation
pdf ProQuest Slide

Awards

Catacosinos Fellowship, 2023

Industry Experience

	Allen Institute (May 2022 - Aug. 2022) Topology-Aware Image Segmentation
	United Imaging Intelligence (UII) (May 2021 - Aug. 2021) Deep Shape Model Based Network
	Tencent Youtu Lab (June 2017 - Jan. 2018) Object Detection and Clothes Search

Reading Group

Topology Data Analysis Reading Group