Yutong Xie
26 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (6)
πΊοΈ
Taxonomy Completionist
(50)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π₯
Mega-Team
(53)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(104)
β‘
Prolific Year
(9)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(25)
π₯
Unstoppable
(5)
β
The Questioner
(3)
Conferences
CVPR (6)
MICCAI (5)
IJCAI (3)
ACL (2)
ICLR (2)
NIPS (2)
AAAI (1)
ECCV (1)
EMNLP (1)
ICCV (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
medical imaging
(5)
large language model
(3)
multi-modal learning
(2)
benchmark evaluation
(2)
information extraction
(2)
zero-shot learning
(2)
vision-language pre-training
(2)
medical image segmentation
(2)
computed tomography
(2)
medical image classification
(2)
medical image analysis
(2)
few-shot learning
(1)
feature learning
(1)
domain generalization
(1)
semi-supervised learning
(1)
catastrophic forgetting
(1)
representation learning
(1)
metric learning
(1)
continual learning
(1)
self-supervised learning
(1)
Papers
MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training
ACL 2026
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
NAACL 2025
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
EMNLP 2025
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding
ICCV 2025
PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts
MICCAI 2025
A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification
WACV 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
ACL 2025
Partial Label Clustering
IJCAI 2025
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
MICCAI 2024
Spot the Difference: Difference Visual Question Answering with Residual Alignment
MICCAI 2024
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
MICCAI 2024
Reciprocal Collaboration for Semi-supervised Medical Image Classification
MICCAI 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
CVPR 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
CVPR 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CVPR 2024
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
CVPR 2024
Unsupervised Image Denoising with Score Function
NIPS 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training
CVPR 2023
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
ICLR 2023
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
IJCAI 2022
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
ECCV 2022
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
AAAI 2022
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
ICLR 2021
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets
CVPR 2021
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
IJCAI 2019