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TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis


Oct 18, 2022
Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun

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* CIKM 2022 

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TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting


Jun 24, 2022
Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin

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FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting


May 24, 2022
Tian Zhou, Ziqing Ma, Xue wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin

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Transformers in Time Series: A Survey


Mar 07, 2022
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun

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* 8 pages, 65 referred papers; The corresponding GitHub repository is https://github.com/qingsongedu/time-series-transformers-review 

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FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting


Jan 30, 2022
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin

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Mid-flight Forecasting for CPA Lines in Online Advertising


Jul 15, 2021
Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores

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* 41st International Symposium on Forecasting, June 27-30, 2021 

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An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions


Jul 15, 2021
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

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* In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), August 14-18, 2021, Singapore 

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