Hongxin Ding
9 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
ACL (4)
AAAI (3)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(5)
reinforcement learning
(2)
diagnosis prediction
(2)
information retrieval
(2)
knowledge graph
(2)
electronic health record
(2)
attention mechanism
(1)
knowledge extraction
(1)
contrastive learning
(1)
semantic search
(1)
feature correlation
(1)
joint learning
(1)
clinical prediction
(1)
instruction tuning
(1)
text annotation
(1)
domain adaptation
(1)
data selection
(1)
information gain
(1)
monte carlo tree search
(1)
information extraction
(1)
Papers
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
ACL 2026
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
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
ACL 2025
ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps
ACL 2024
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
IJCAI 2023
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
AAAI 2023