Merlion: A Machine Learning Library for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (CoRR, 2021)

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (ICLR, 2022)

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (CoRR, 2022)

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (CoRR, 2022)

Model Agnostic Defence Against Backdoor Attacks in Machine Learning. - Sakshi Udeshi; Shanshan Peng; Gerald Woo; Lionell Loh; Louth Rawshan; Sudipta Chattopadhyay 001 (IEEE Trans. Reliab., 2022)

Learning Deep Time-index Models for Time Series Forecasting. - Gerald Woo; Chenghao Liu; Doyen Sahoo; Akshat Kumar; Steven C. H. Hoi (ICML, 2023)

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. - Qian Cheng; Doyen Sahoo; Amrita Saha; Wenzhuo Yang; Chenghao Liu; Gerald Woo; Manpreet Singh; Silvio Savarese; Steven C. H. Hoi (CoRR, 2023)

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. - Gerald Woo; Chenghao Liu; Akshat Kumar; Doyen Sahoo (CoRR, 2023)

Merlion: End-to-End Machine Learning for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (J. Mach. Learn. Res., 2023)

Unified Training of Universal Time Series Forecasting Transformers. - Gerald Woo; Chenghao Liu; Akshat Kumar; Caiming Xiong; Silvio Savarese; Doyen Sahoo (ICML, 2024)

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. - Taha Aksu; Gerald Woo; Juncheng Liu; Xu Liu 014; Chenghao Liu; Silvio Savarese; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. - Xu Liu 014; Juncheng Liu; Gerald Woo; Taha Aksu; Yuxuan Liang; Roger Zimmermann; Chenghao Liu; Silvio Savarese; Caiming Xiong; Doyen Sahoo (CoRR, 2024)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. - Juncheng Liu; Chenghao Liu; Gerald Woo; Yiwei Wang 001; Bryan Hooi; Caiming Xiong; Doyen Sahoo (Trans. Mach. Learn. Res., 2025)