Huan Yee Koh

According to our database, Huan Yee Koh authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2023

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

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