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Yong Xia

31 papers · 2015–2025 · 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ‘₯ Mega-Team Β· Legion ⚑ Prolific Year Β· Prolific πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (88)

Venues

MICCAI (14) CVPR (8) AAAI (3) NeurIPS (3) ECCV (1) ICML (1) IJCAI (1)

Top co-authors

Yutong Xie (9) Benteng Ma (6) Ziyang Chen (5) Jianpeng Zhang (5) Hengfei Cui (5) Yiwen Ye (5) Zilin Lu (4) Qi Wu (4) Qingjie Zeng (4) Yongsheng Pan (4)

Research topics

Machine Learning (14) Computer Vision (12) Domain-Specific (9) Learning Types Β· Machine Learning (9) Healthcare & Medicine (7) Clinical (7) Deep Learning (6) Optimization & Theory (6) Learning Types Β· Deep Learning (5) Processing (4) Artificial Intelligence (3) Analysis (3) Application Areas (3) Core Methods (2) Mathematics & Optimization (1)

Keywords

medical image segmentation (4) medical imaging (4) image segmentation (3) domain adaptation (2) medical image analysis (2) continual learning (2) domain shift (2) test-time adaptation (2) medical image classification (2) self-supervised learning (2) multimodal learning (2) zero-shot learning (2) computed tomography (2) neural network security (1) feature learning (1) semi-supervised learning (1) benchmark evaluation (1) contrastive learning (1) representation learning (1) uncertainty quantification (1)

Papers

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination ICML 2025 CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation MICCAI 2025 Cycle Context Verification for In-Context Medical Image Segmentation MICCAI 2025 Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation MICCAI 2025 Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data MICCAI 2025 Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation AAAI 2025 Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation MICCAI 2025 Personalized Federated Side-Tuning for Medical Image Classification MICCAI 2025 RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images MICCAI 2025 SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation MICCAI 2025 Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap MICCAI 2025 Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering MICCAI 2025 Block Sparse Bayesian Learning: A Diversified Scheme NeurIPS 2024 Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024 Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024 Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning MICCAI 2024 FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation MICCAI 2024 Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding AAAI 2024 PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024 Reciprocal Collaboration for Semi-supervised Medical Image Classification MICCAI 2024 Spot the Difference: Difference Visual Question Answering with Residual Alignment MICCAI 2024 SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation AAAI 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023 FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis CVPR 2022 UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier ECCV 2022 DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets CVPR 2021 Auto Learning Attention NeurIPS 2020 Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation IJCAI 2019 Robust Saliency Detection via Regularized Random Walks Ranking CVPR 2015