Huan Yee Koh

Orcid: 0000-0002-0488-2616

According to our database1, Huan Yee Koh authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data".
Dataset, April, 2024

Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data.
Nat. Mac. Intell., 2024

Graph spatiotemporal process for multivariate time series anomaly detection with missing values.
Inf. Fusion, 2024

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials.
CoRR, 2024

2023
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics.
ACM Comput. Surv., 2023

Large Language Models for Scientific Synthesis, Inference and Explanation.
CoRR, 2023

2022
How Far are We from Robust Long Abstractive Summarization?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Leveraging Information Bottleneck for Scientific Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021


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