Xiaoling Hu
19 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (6) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (19)
π
Academic Marathon
(6)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(15)
π₯
Unstoppable
(5)
π
Century Club
(19)
π
Conference Pioneer
β‘
Prolific Year
(5)
Conferences
ICLR (5)
ECCV (3)
ICCV (3)
MICCAI (3)
NIPS (3)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
image segmentation
(2)
medical imaging
(2)
semi-supervised learning
(1)
cell detection
(1)
topological data analysis
(1)
deep learning
(1)
brain image segmentation
(1)
data synthesis
(1)
classifier robustness
(1)
diffusion model
(1)
deep neural network
(1)
loss function
(1)
synthetic datum
(1)
uncertainty estimation
(1)
end-to-end training
(1)
domain randomization
(1)
missing modality
(1)
uncertainty calibration
(1)
data augmentation
(1)
adversarial learning
(1)
Papers
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
ICCV 2025
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
ICLR 2025
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
CVPR 2025
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
ECCV 2024
Spatial Diffusion for Cell Layout Generation
MICCAI 2024
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
ECCV 2024
Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
MICCAI 2024
Hard Negative Sample Mining for Whole Slide Image Classification
MICCAI 2024
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
ICCV 2023
Topology-Aware Uncertainty for Image Segmentation
NIPS 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
ICCV 2023
Confidence Estimation Using Unlabeled Data
ICLR 2023
Learning Probabilistic Topological Representations Using Discrete Morse Theory
ICLR 2023
A Manifold View of Adversarial Risk
AISTATS 2022
Structure-Aware Image Segmentation with Homotopy Warping
NIPS 2022
Learning Topological Interactions for Multi-Class Medical Image Segmentation
ECCV 2022
Trigger Hunting with a Topological Prior for Trojan Detection
ICLR 2022
Topology-Aware Segmentation Using Discrete Morse Theory
ICLR 2021
Topology-Preserving Deep Image Segmentation
NIPS 2019