Huan Yee Koh

According to our database, Huan Yee Koh authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

M²LLM: Multi-view Molecular Representation Learning with Large Language Models.

Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan

CoRR, August, 2025

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models.

Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang

CoRR, June, 2025

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization.

Jiajun Yu, Yizhen Zheng, Huan Yee Koh, Shirui Pan, Tianyue Wang, Haishuai Wang

CoRR, March, 2025

Large language models for drug discovery and development.

Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Madeleine Yang, Lauren T. May, Geoffrey I. Webb, Li Li, Shirui Pan, George Church

Patterns, 2025

Large language models for scientific discovery in molecular property prediction.

Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan

Nat. Mac. Intell., 2025

Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks.

Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Shirui Pan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

M^2LLM: Multi-view Molecular Representation Learning with Large Language Models.

Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.

Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection.

Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data".

Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb

Dataset, April, 2024

Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data.

Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb

Nat. Mac. Intell., 2024

Graph spatiotemporal process for multivariate time series anomaly detection with missing values.

Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang

Inf. Fusion, 2024

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials.

Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church

CoRR, 2024

2023

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics.

Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan

ACM Comput. Surv., 2023

Large Language Models for Scientific Synthesis, Inference and Explanation.

Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan

CoRR, 2023

2022

How Far are We from Robust Long Abstractive Summarization?

Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Leveraging Information Bottleneck for Scientific Document Summarization.

Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021