Yongxin Xu
16 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (14) 🗃️ Keyword Collector (83)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Natural Language Processing
(9)
Core AI
(9)
Learning Types · Machine Learning
(7)
Resources & Methods
(7)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Optimization & Theory
(5)
Core Methods
(4)
Learning Paradigms
(4)
Healthcare & Medicine
(3)
Application Areas
(3)
Clinical
(3)
Applications
(2)
Keywords
large language model
(7)
retrieval-augmented generation
(5)
catastrophic forgetting
(2)
diagnosis prediction
(2)
electronic health record
(2)
knowledge transfer
(2)
knowledge graph
(2)
continual learning
(2)
information retrieval
(2)
link prediction
(1)
knowledge editing
(1)
contrastive learning
(1)
information extraction
(1)
attention mechanism
(1)
joint learning
(1)
knowledge extraction
(1)
feature correlation
(1)
model merging
(1)
graph classification
(1)
semantic search
(1)
Papers
DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
ACL 2026
Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
AAAI 2026
3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
EMNLP 2025
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
AAAI 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models
EMNLP 2025
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
ACL 2025
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
AAAI 2025
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks
IJCAI 2025
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
ACL 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
ACL 2025
TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems
ACL 2025
ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps
ACL 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
ACL 2024
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
AAAI 2023
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
IJCAI 2023