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Xiaoling HuPhD CandidateComputer 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:
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Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation |
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Learning Probabilistic Topological Representations Using Discrete Morse Theory |
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Confidence Estimation Using Unlabeled Data |
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Structure-Aware Image Segmentation with Homotopy Warping |
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Deep Statistic Shape Model for Myocardium Segmentation |
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Learning Topological Interactions for Multi-Class Medical Image Segmentation |
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Trigger Hunting with a Topological Prior for Trojan Detection |
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A Manifold View of Adversarial Risk |
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A Topology-Attention ConvLSTM Network and Its Application to EM Images |
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Topology-aware Segmentation Using Discrete Morse Theory |
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3D Topology-Preserving Segmentation with Compound Multi-Slice Representation |
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Topology-Preserving Deep Image Segmentation |
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Saliency detection based on integration of central bias, reweighting and multi-scale for superpixels |
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Topology-Aware Image Segmentation |
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Deep Shape Model Based Network |
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Object Detection and Clothes Search |
Reviewer for ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, AISTATS, MICCAI, AAAI etc.