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Gerald Woo

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Unified Training of Universal Time Series Forecasting Transformers

Feb 04, 2024
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo

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Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain

Oct 10, 2023
Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo

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AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges

Apr 10, 2023
Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Saverese, Steven C. H. Hoi

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DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

Jul 14, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

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CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Feb 03, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

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ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Feb 03, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

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Merlion: A Machine Learning Library for Time Series

Sep 20, 2021
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

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Model Agnostic Defence against Backdoor Attacks in Machine Learning

Aug 28, 2019
Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay

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