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Yong Xia

31 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (46)
πŸ—ΊοΈ Taxonomy Completionist (46) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ‘₯ Mega-Team (53) πŸš€ Conference Pioneer πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (84) ❓ The Questioner (2) ⚑ Prolific Year (12)

Conferences

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

Papers

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering MICCAI 2025 Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation AAAI 2025 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 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 PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024 Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NIPS 2024 Block Sparse Bayesian Learning: A Diversified Scheme NIPS 2024 Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding AAAI 2024 SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation AAAI 2024 Spot the Difference: Difference Visual Question Answering with Residual Alignment MICCAI 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts 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 Reciprocal Collaboration for Semi-supervised Medical Image Classification MICCAI 2024 PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023 UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier ECCV 2022 FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis CVPR 2022 DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets CVPR 2021 Auto Learning Attention NIPS 2020 Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation IJCAI 2019 Robust Saliency Detection via Regularized Random Walks Ranking CVPR 2015