Xiaoling Hu

Postdoctoral Research Fellow

Laboratories for Computational Neuroimaging (LCN)

Athinoula A. Martinos Center for Biomedical Imaging

MGH/Harvard Medical School

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

I am on the academic job market for Fall 2025 positions, and I am open to opportunies in CS/EE/BME/BMI/DS/IS/Medicine! Please feel free to reach out if there is a good fit.

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, advised by Prof. Chao Chen. During my PhD, I have also been fortunate to spend time at United Imaging Intelligence (UII) and Allen Institute for Cell Science to explore various biomedical scenarios/applications.

Before that, I obtained my master and bachelor degrees from Tsinghua University and Huazhong University of Science and Technology, respectively.

Research Interests: My research interest is Machine Learning for Healthcare, and I am focusing on developing core machine learning algorithms applied to medical imaging problems. 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]

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

Empowering Clinical and Biomedical Applications [ECCV'22, ICCV'23a, MedIA'24, ECCV'24a, ECCV'24b, MICCAI'24Wb, arXiv'24]

Email Address: xihu3 at mgh dot harvard dot edu

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

Mentoring

Jiaqi Yang (Ph.D. student at Department of CS, CUNY)

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)

Mahmudul Hasan (Ph.D. student at Department of CS, Stony Brook University)

Organized Tutorials/Workshops

The First Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3)
Chao Chen, Bjoern Menze, Yash Singh, Xiaoling Hu, Johannes C. Paetzold, Saumya Gupta, Colleen Farrelly, Quincy Hathaway, Rahul Paul, Paul Rosen, Jennifer Rozenblit
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
Website

Topology-Driven Image Analysis
Chao Chen, Bjoern Menze, Xiaoling Hu, Johannes C. Paetzold, Saumya Gupta
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
Website

Selected Publications (Full Publications)

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

Preprints

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^‡
Tech report
arXiv Code

Publications

	TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images Meilong Xu^†, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen European Conference on Computer Vision (ECCV), 2024 Paper Code
	Brain-ID: Learning Robust Feature 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, notable-top-25%) 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, 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, 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

Services

Reviewer for ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, AISTATS, MICCAI, AAAI etc.

Reading Group

Topology Data Analysis Reading Group