Xinke Jiang
16 papers · 2024–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (32) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6)
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Cross-Pollinator
(8)
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Keyword Collector
(64)
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Century Club
(10)
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Prolific Year
(8)
Conferences
AAAI (6)
ACL (6)
COLING (1)
EMNLP (1)
ICML (1)
NIPS (1)
Top co-authors
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
(1)
time series
(1)
resource management
(1)
semantic search
(1)
risk management
(1)
graph transformer
(1)
information gain
(1)
data selection
(1)
knowledge graph
(1)
Papers
Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search
ACL 2026
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
ACL 2026
Adaptive Frequency Pathways for Spatiotemporal Forecasting
AAAI 2026
Task-Aware Retrieval Augmentation for Dynamic Recommendation
AAAI 2026
Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
AAAI 2026
DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
ACL 2026
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
ACL 2025
Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
ICML 2025
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
Time Series Supplier Allocation via Deep Black-Litterman Model
AAAI 2025
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
AAAI 2025
TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems
ACL 2025
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
ACL 2025
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NIPS 2024
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis
COLING 2024