Leveraging Information Bottleneck for Scientific Document Summarization. - Jiaxin Ju; Ming Liu 028; Huan Yee Koh; Yuan Jin; Lan Du 002; Shirui Pan (EMNLP (Findings), 2021)

How Far are We from Robust Long Abstractive Summarization? - Huan Yee Koh; Jiaxin Ju; He Zhang 012; Ming Liu 028; Shirui Pan (EMNLP, 2022)

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)

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics. - Huan Yee Koh; Jiaxin Ju; Ming Liu 028; Shirui Pan (ACM Comput. Surv., 2023)

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)

Graph spatiotemporal process for multivariate time series anomaly detection with missing values. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Haishuai Wang; Khoa Tran Phan; Yi-Ping Phoebe Chen; Shirui Pan; Wei Xiang 001 (Inf. Fusion, 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)

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 (Zenodo, 2024)

Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Khoa Tran Phan; Shirui Pan; Yi-Ping Phoebe Chen; Wei Xiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. - Ming Jin 005; Huan Yee Koh; Qingsong Wen; Daniele Zambon; Cesare Alippi; Geoffrey I. Webb; Irwin King; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks. - Jiaxin Ju; Yizhen Zheng; Huan Yee Koh; Shirui Pan (PAKDD (5), 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)

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization. - Jiajun Yu; Yizhen Zheng; Huan Yee Koh; Shirui Pan; Tianyue Wang; Haishuai Wang (CoRR, 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, 2025)

M2LLM: Multi-view Molecular Representation Learning with Large Language Models. - Jiaxin Ju; Yizhen Zheng; Huan Yee Koh; Can Wang 004; Shirui Pan (CoRR, 2025)