ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
October 2024
Shun Zheng
Senior Researcher
Publications
Publications by Year
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ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 International Conference on Learning Representations | January 2024
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BatteryML: An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
ICLR 2024 | October 2023
Towards Foundation Models for Learning on Tabular Data
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
October 2023
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Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
2022 Neural Information Processing Systems | November 2022
Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
KDD 2022 | August 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
ICLR 2022 | April 2022
Publications by Research Area
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ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
October 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 International Conference on Learning Representations | January 2024
BatteryML: An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
ICLR 2024 | October 2023
Towards Foundation Models for Learning on Tabular Data
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
October 2023
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
2022 Neural Information Processing Systems | November 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
ICLR 2022 | April 2022
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Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
KDD 2022 | August 2022
Publications by Type
-
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
October 2024
-
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 International Conference on Learning Representations | January 2024
BatteryML: An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
ICLR 2024 | October 2023
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
2022 Neural Information Processing Systems | November 2022
Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
KDD 2022 | August 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
ICLR 2022 | April 2022
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Towards Foundation Models for Learning on Tabular Data
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
October 2023