Yi-Ping Phoebe Chen

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Shirui Pan

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Publications

2025
[j163]
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Le Fang, Wei Xiang, Shirui Pan, Flora D. Salim, Yi-Ping Phoebe Chen:
Spatiotemporal Pretrained Large Language Model for Forecasting With Missing Values. IEEE Internet Things J. 12(10): 13838-13850 (2025)
2024
[j157]
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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)
[j151]
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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)
[i11]
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  - journals/corr/abs-2401-05800
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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)
2023
[i7]
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  - journals/corr/abs-2307-08390
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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)
2022
[j127]
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Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan:
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3530-3538 (2022)
[i6]
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  - journals/corr/abs-2202-05525
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Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022)

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