Yinhua Piao

According to our database, Yinhua Piao authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction.

Yinhua Piao, Hyomin Kim, Seonghwan Kim, Yunhak Oh, Junhyeok Jeon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn

CoRR, February, 2026

Progressive Multi-Agent Reasoning for Biological Perturbation Prediction.

Hyomin Kim, Sang-Yeon Hwang, Jaechang Lim, Yinhua Piao, Yunhak Oh, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn, Junhyeok Jeon

CoRR, February, 2026

Context-Aware Hierarchical Fusion for Drug Relational Learning.

Yijingxiu Lu, Yinhua Piao, Sangseon Lee, Sun Kim

IEEE Trans. Comput. Biol. Bioinform., 2026

2025

GraphT5: Unified Molecular Graph-Language Modeling via Multi-Modal Cross-Token Attention.

Sangyeup Kim, Nayeon Kim, Yinhua Piao, Sun Kim

CoRR, March, 2025

MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model.

Sumin Ha, Jun Hyeong Kim, Yinhua Piao, Sun Kim

CoRR, March, 2025

Improving Reaction Yield Prediction with Chemical Atom-Level Reaction Learning.

Yijingxiu Lu, Yinhua Piao, Ming Shen, Sun Kim

J. Chem. Inf. Model., 2025

BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization.

Dongmin Bang, Inyoung Sung, Yinhua Piao, Sangseon Lee, Sun Kim

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model.

Sumin Ha, Jun Hyeong Kim, Yinhua Piao, Changyun Cho, Sun Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Enhancing Drug-Drug Interaction Prediction with Context-Aware Architecture.

Yijingxiu Lu, Yinhua Piao, Sun Kim

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments.

Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning.

Nayeon Kim, Yinhua Piao, Sun Kim

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

SPGP: Structure Prototype Guided Graph Pooling.

Sangseon Lee, Dohoon Lee, Yinhua Piao, Sun Kim

CoRR, 2022

Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification.

Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022