Xiaoling Hu

PhD Candidate
Computer Vision, Machine Learning, Medical Imaging and Topological Data Analysis

I am a final year computer science PhD Candidate at Stony Brook University, advised by Prof.Chao Chen. I also work closely with Prof.Dimitris Samaras and Prof.Prateek Prasanna.

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

Research Interests: My research interest lies in the intersection of medical imaging, computer vision and machine learning. In particular, I am interested in:

Learning topological/geometric representations

Uncertainty estimation

Learning with imperfect data

Email Address: xiaolhu at cs.stonybrook.edu

Contact Address: Old Computer Science Building 2314, Stony Brook, NY

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

Selected Publications (Full Publications)

	Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna Under review arXiv
	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 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
	Deep Statistic Shape Model for Myocardium Segmentation Xiaoling Hu, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun Tech report arXiv
	Learning Topological Interactions for Multi-Class Medical Image Segmentation Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, et al. (* means equal contribution) 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
	A Manifold View of Adversarial Risk Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris Metaxas International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Paper Code
	A Topology-Attention ConvLSTM Network and Its Application to EM Images Jiaqi Yang, Xiaoling Hu, Chao Chen, Chia-Ling Tsai (* means equal contribution) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021 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
	3D Topology-Preserving Segmentation with Compound Multi-Slice Representation Jiaqi Yang, Xiaoling Hu, Chao Chen, Chia-Ling Tsai (* means equal contribution) IEEE International Symposium on Biomedical Imaging (ISBI), 2021 Paper 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 Code1 Code2 Slide Poster
	Saliency detection based on integration of central bias, reweighting and multi-scale for superpixels Xiaoling Hu, Wenming Yang, Fei Zhou, Qingmin Liao IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 Paper

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