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Tian Zhou

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Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting

Feb 08, 2024
Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin

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FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

Feb 08, 2024
Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin

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Attention as Robust Representation for Time Series Forecasting

Feb 08, 2024
PeiSong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin

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SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting

Dec 07, 2023
Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin

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Model-free Test Time Adaptation for Out-Of-Distribution Detection

Nov 28, 2023
YiFan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

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One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors

Nov 24, 2023
Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

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DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Jun 17, 2023
Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun

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GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting

Jun 14, 2023
YanJun Zhao, Ziqing Ma, Tian Zhou, Liang Sun, Mengni Ye, Yi Qian

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SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events

Jun 14, 2023
Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun

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Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer

May 24, 2023
Wang Xue, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

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