Junfeng Zhao
20 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🤝 Dynamic Duo (19)
🏆
Grand Slam
🗃️
Keyword Collector
(104)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(14)
Core AI
(12)
Deep Learning
(9)
Core Methods
(8)
Learning Types · Machine Learning
(8)
Natural Language Processing
(7)
Learning Types · Deep Learning
(7)
Healthcare & Medicine
(5)
Application Areas
(5)
Clinical
(5)
Resources & Methods
(5)
Architectures
(4)
Optimization & Theory
(4)
Learning Paradigms
(3)
Keywords
large language model
(6)
retrieval-augmented generation
(5)
knowledge graph
(3)
electronic health record
(3)
information retrieval
(2)
graph classification
(2)
gromov-wasserstein distance
(2)
diagnosis prediction
(2)
graph neural network
(2)
representation learning
(2)
reinforcement learning
(2)
text generation
(1)
information extraction
(1)
data augmentation
(1)
domain adaptation
(1)
contrastive learning
(1)
attention mechanism
(1)
semantic consistency
(1)
self-supervised learning
(1)
joint learning
(1)
Papers
DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
ACL 2026
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
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
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
ICLR 2025
Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
ICML 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
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
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
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
ICML 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
NeurIPS 2024
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words
ACL 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
NeurIPS 2023
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
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment
AAAI 2020