← Authors

Yuan Luo

16 papers · 2018–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (39) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (7) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (85) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8)

Conferences

AAAI (4) EMNLP (3) IJCAI (2) MLHC (2) COLING (1) ICCV (1) ICLR (1) IJCNLP (1) NIPS (1)

Top co-authors

Chengsheng Mao (6) Yisen Wang (3) Yikuan Li (2) Chenhao Ying (2) zheng Yu (2) Min Zeng (2) Mengdi Wang (2) Kaixuan Huang (2) Hanyin Wang (1) Rui Qian (1)

Keywords

non-negative matrix factorization (2) dialogue generation (2) variational encoder-decoder (2) disease classification (2) dirichlet distribution (2) latent variable (2) variational autoencoder (2) genetic pathway (2) gene set (2) model robustness (1) policy learning (1) code generation (1) label noise (1) gene expression (1) open-set classification (1) benchmark evaluation (1) supervised learning (1) multi-armed bandit (1) text classification (1) symmetric loss (1)

Papers

SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation EMNLP 2025
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources IJCAI 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering 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 NIPS 2022
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning AAAI 2021
Open-Set Recognition with Gaussian Mixture Variational Autoencoders AAAI 2021
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling MLHC 2020
Improving Medical NLI Using Context-Aware Domain Knowledge COLING 2020
Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019
Graph Convolutional Networks for Text Classification AAAI 2019
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation IJCNLP 2019
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 2019
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization MLHC 2018