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Gerald Woo
Gerald Woo
Industrial PhD Candidate, Salesforce Research Asia, Singapore Management University
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
The Tenth International Conference on Learning Representations (ICLR 2022), 2022
1652022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
arXiv preprint arXiv:2202.01381, 2022
1172022
Model agnostic defence against backdoor attacks in machine learning
S Udeshi, S Peng, G Woo, L Loh, L Rawshan, S Chattopadhyay
IEEE Transactions on Reliability 71 (2), 880-895, 2022
872022
Merlion: End-to-End Machine Learning for Time Series
A Bhatnagar, P Kassianik, C Liu, T Lan, W Yang, R Cassius, D Sahoo, ...
Journal of Machine Learning Research 24 (226), 1-6, 2023
26*2023
Learning Deep Time-index Models for Time Series Forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
The Fortieth International Conference on Machine Learning (ICML 2023), 2022
20*2022
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Q Cheng, D Sahoo, A Saha, W Yang, C Liu, G Woo, M Singh, S Saverese, ...
arXiv preprint arXiv:2304.04661, 2023
152023
Unified Training of Universal Time Series Forecasting Transformers
G Woo, C Liu, A Kumar, C Xiong, S Savarese, D Sahoo
arXiv preprint arXiv:2402.02592, 2024
32024
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain
G Woo, C Liu, A Kumar, D Sahoo
arXiv preprint arXiv:2310.05063, 2023
32023
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