Zhou, Tian

9 publications

AAAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

ICLR 2024 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

NeurIPS 2023 One Fits All: Power General Time Series Analysis by Pretrained LM Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

IJCAI 2023 Transformers in Time Series: A Survey Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun

AAAI 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun

NeurIPSW 2022 Chemistry Guided Molecular Graph Transformer Peisong Niu, Tian Zhou, Qingsong Wen, Liang Sun, Tao Yao

ICML 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-Term Series Forecasting Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin

NeurIPS 2022 FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin

AAAI 2015 Touchless Telerobotic Surgery - Is It Possible at All? Tian Zhou, Maria Eugenia Cabrera, Juan P. Wachs