Yuan Luo
15 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(89)
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Learning Types
(5)
Architectures
(4)
Healthcare & Medicine
(3)
Application Areas
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Methods
(2)
Models
(2)
Research
(2)
Keywords
gene set
(2)
genetic pathway
(2)
disease classification
(2)
non-negative matrix factorization
(2)
policy optimization
(1)
text classification
(1)
zero-shot learning
(1)
attention mechanism
(1)
feature learning
(1)
natural language inference
(1)
dialogue generation
(1)
supervised learning
(1)
code generation
(1)
policy learning
(1)
tensor factorization
(1)
model robustness
(1)
gene expression
(1)
domain knowledge
(1)
data privacy
(1)
label noise
(1)
Papers
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
EMNLP 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
AAAI 2025
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources
IJCAI 2025
SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation
EMNLP 2025
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
IJCAI 2024
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
ICLR 2023
SHINE: SubHypergraph Inductive Neural nEtwork
NeurIPS 2022
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
AAAI 2021
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning
AAAI 2021
Improving Medical NLI Using Context-Aware Domain Knowledge
COLING 2020
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling
MLHC 2020
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation
EMNLP 2019
Graph Convolutional Networks for Text Classification
AAAI 2019
Symmetric Cross Entropy for Robust Learning With Noisy Labels
ICCV 2019
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization
MLHC 2018