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ORCIDHuan Yee Koh
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2020 – today
- 2024
[j5]Yu Zheng
, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106: 102255 (2024)- [j4]Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb:
Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data. Nat. Mac. Intell. 6(6): 673-687 (2024) - [j3]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10466-10485 (2024) - [j2]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11802-11816 (2024) - [d1]Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan, Lauren T. May, Geoffrey I. Webb:
Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data". Zenodo, 2024
- [i8]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR abs/2401.05800 (2024) - [i7]Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church:
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. CoRR abs/2409.04481 (2024) - 2023
- [j1]Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan:
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics. ACM Comput. Surv. 55(8): 154:1-154:35 (2023) - [i6]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i5]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR abs/2307.08390 (2023) - [i4]Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan:
Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR abs/2310.07984 (2023) - 2022
- [c2]Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan:
How Far are We from Robust Long Abstractive Summarization? EMNLP 2022: 2682-2698 - [i3]Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan:
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics. CoRR abs/2207.00939 (2022) - [i2]Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan:
How Far are We from Robust Long Abstractive Summarization? CoRR abs/2210.16732 (2022) - 2021
- [c1]Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. EMNLP (Findings) 2021: 4091-4098 - [i1]Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. CoRR abs/2110.01280 (2021)
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