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Xiaoling Hu

20 papers · 2019–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (25) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (16) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (72)

Venues

ICLR (5) ECCV (3) ICCV (3) MICCAI (3) NeurIPS (3) CVPR (2) AISTATS (1)

Top co-authors

Chao Chen (16) Shahira Abousamra (7) Prateek Prasanna (6) Dimitris Samaras (4) Chen Li (4) Saumya Gupta (4) Meilong Xu (3) Oula Puonti (3) Peirong Liu (2) Yikai Zhang (2)

Research topics

Machine Learning (10) Computer Vision (8) Optimization & Theory (7) Domain-Specific (6) Learning Types (5) Deep Learning (4) Healthcare & Medicine (4) Clinical (4) Core Methods (4) Processing (4) Artificial Intelligence (3) Models (3) Application Areas (2) Core AI (2) Analysis (1)

Keywords

image segmentation (3) discrete morse theory (3) deep learning (3) medical imaging (3) topological data analysis (2) semi-supervised learning (2) uncertainty estimation (2) topological accuracy (2) backdoor attack (1) persistent homology (1) data augmentation (1) cell detection (1) adversarial learning (1) generative model (1) brain image segmentation (1) loss function (1) image registration (1) deep neural network (1) gaussian distribution (1) diffusion model (1)

Papers

Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning CVPR 2026 Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging ICLR 2025 Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation ICCV 2025 TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model CVPR 2025 Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging ECCV 2024 Hard Negative Sample Mining for Whole Slide Image Classification MICCAI 2024 Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images MICCAI 2024 Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency ECCV 2024 Spatial Diffusion for Cell Layout Generation MICCAI 2024 Calibrating Uncertainty for Semi-Supervised Crowd Counting ICCV 2023 Confidence Estimation Using Unlabeled Data ICLR 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 Learning Probabilistic Topological Representations Using Discrete Morse Theory ICLR 2023 Topology-Aware Uncertainty for Image Segmentation NeurIPS 2023 A Manifold View of Adversarial Risk AISTATS 2022 Learning Topological Interactions for Multi-Class Medical Image Segmentation ECCV 2022 Structure-Aware Image Segmentation with Homotopy Warping NeurIPS 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 NeurIPS 2019