Huan Yee Koh
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An empirical survey on long document summarization: Datasets, models, and metrics
HY Koh, J Ju, M Liu, S Pan
ACM computing surveys 55 (8), 1-35, 2022
A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
M Jin, HY Koh, Q Wen, D Zambon, C Alippi, GI Webb, I King, S Pan
arXiv preprint arXiv:2307.03759, 2023
How Far are We from Robust Long Abstractive Summarization?
HY Koh, J Ju, H Zhang, M Liu, S Pan
EMNLP 2022, 2022
Leveraging Information Bottleneck for Scientific Document Summarization
J Ju, M Liu, HY Koh, Y Jin, L Du, S Pan
EMNLP 2021 Findings, 2021
The application of artificial intelligence to accelerate GPCR drug discovery
ATN Nguyen, DTN Nguyen, HY Koh, J Toskov, W MacLean, A Xu, ...
British Journal of Pharmacology, 0
Large language models for scientific synthesis, inference and explanation
Y Zheng, HY Koh, J Ju, ATN Nguyen, LT May, GI Webb, S Pan
arXiv preprint arXiv:2310.07984, 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Y Zheng, HY Koh, M Jin, L Chi, KT Phan, S Pan, YPP Chen, W Xiang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
PSICHIC: physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data
HY Koh, ATN Nguyen, S Pan, LT May, GI Webb
bioRxiv, 2023.09. 17.558145, 2023
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