Xinke Jiang
16 papers · 2024–2026 · 6 venues · across top CS/AI venues
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🤝 Dynamic Duo (11) 💎 Century Club · Bronze
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The Questioner
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Prolific Year · Productive
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Research topics
Artificial Intelligence
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Machine Learning
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Deep Learning
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Natural Language Processing
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Architectures
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Learning Paradigms
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Optimization & Theory
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Resources & Methods
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Learning Types · Deep Learning
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Healthcare & Medicine
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Clinical
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Keywords
large language model
(5)
retrieval-augmented generation
(5)
reinforcement learning
(3)
graph neural network
(2)
information retrieval
(2)
electronic health record
(2)
contrastive learning
(2)
graph classification
(1)
clinical prediction
(1)
domain adaptation
(1)
feature correlation
(1)
instruction tuning
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time series
(1)
laplacian matrix
(1)
semantic search
(1)
risk management
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information gain
(1)
knowledge graph
(1)
graph transformer
(1)
monte carlo tree search
(1)
Papers
Adaptive Frequency Pathways for Spatiotemporal Forecasting
AAAI 2026
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
Task-Aware Retrieval Augmentation for Dynamic Recommendation
AAAI 2026
Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
AAAI 2026
Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search
ACL 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
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
Time Series Supplier Allocation via Deep Black-Litterman Model
AAAI 2025
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis
COLING 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024