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Chenghao Liu

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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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Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank

Jun 03, 2022
Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

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Continual Normalization: Rethinking Batch Normalization for Online Continual Learning

Mar 30, 2022
Quang Pham, Chenghao Liu, Steven Hoi

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Learning Fast and Slow for Online Time Series Forecasting

Feb 23, 2022
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. 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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Node-wise Localization of Graph Neural Networks

Oct 27, 2021
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

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DualNet: Continual Learning, Fast and Slow

Oct 01, 2021
Quang Pham, Chenghao Liu, Steven Hoi

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Modeling Dynamic Attributes for Next Basket Recommendation

Sep 23, 2021
Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian McAuley, Caiming Xiong

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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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