Junyu Luo
29 papers · 2019–2026 · 11 venues · across top CS/AI venues
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Research topics
Machine Learning
(20)
Artificial Intelligence
(18)
Core AI
(17)
Deep Learning
(15)
Learning Types Β· Machine Learning
(11)
Application Areas
(9)
Architectures
(7)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(5)
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(4)
Resources & Methods
(4)
Techniques
(4)
Computer Vision
(3)
Keywords
large language model
(6)
graph neural network
(5)
multimodal learning
(3)
domain adaptation
(3)
representation learning
(2)
multimodal large language model
(2)
electronic health record
(2)
attention mechanism
(2)
multi-agent system
(2)
domain shift
(2)
reinforcement learning
(2)
transfer learning
(2)
test-time adaptation
(2)
medical ai
(2)
entropy minimization
(1)
semi-supervised learning
(1)
variational inference
(1)
adversarial learning
(1)
spectral clustering
(1)
domain generalization
(1)
Papers
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
ACL 2026
BAMAS: Structuring Budget-Aware Multi-Agent Systems
AAAI 2026
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
AAAI 2026
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
ACL 2026
A Survey of RAG-Reasoning Systems in Large Language Models
EMNLP 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
AAAI 2025
Automate Strategy Finding with LLM in Quant Investment
EMNLP 2025
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
ACL 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
EMNLP 2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
ACL 2025
Semi-supervised Fine-tuning for Large Language Models
NAACL 2025
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
ICML 2025
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
ICML 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
AAAI 2025
A Survey of Data-Efficient Graph Learning
IJCAI 2024
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning
COLING 2024
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
NeurIPS 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
IJCAI 2024
Recent Advances in Predictive Modeling with Electronic Health Records
IJCAI 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
ACL 2024
Zero-Resource Hallucination Prevention for Large Language Models
EMNLP 2024
Hierarchical Pretraining on Multimodal Electronic Health Records
EMNLP 2023
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
CVPR 2022
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation
COLING 2022
ChartOCR: Data Extraction From Charts Images via a Deep Hybrid Framework
WACV 2021
Fusion: Towards Automated ICD Coding via Feature Compression
ACL 2021
Accelerating CNN Training by Pruning Activation Gradients
ECCV 2020
Learning Document Embeddings with Crossword Prediction
AAAI 2019