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CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting.

J. Gao, Y. Hu, Q. Cao, S. Dai, and Y. Chen. CoRR, (2023)

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Jiaxin Pan

Jiaxin Dong

Jiaxin Zhao

Zhigang Gao

Gao Guo

Other publications of authors with the same name

Research on the Integrated Navigation Technology of SINS with Couple Odometers for Land Vehicles.J. Gao, K. Li, and J. Chen. Sensors, 20 (2): 546 (2020)Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement.J. Gao, X. Liu, R. Liu, and X. Fan. Vis. Comput., 39 (4): 1471-1484 (April 2023)CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting.J. Gao, Y. Hu, Q. Cao, S. Dai, and Y. Chen. CoRR, (2023)Generalized Countable Fuzzy Semi-Compactness in L-Topological Spaces.Q. Li, X. Wang, and J. Gao. FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 670-676. IOS Press, (2023)Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments.J. Gao, Z. Yue, Y. Liu, S. Xie, X. Fan, and R. Liu. CoRR, (2023)LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow.Z. Yue, J. Gao, S. Xie, Y. Liu, and Z. Su. CoRR, (2024)Beyond backpropagate through time: Efficient model-based training through time-splitting.J. Gao, Y. Guan, W. Li, S. Li, F. Ma, J. Zheng, J. Wei, B. Zhang, and K. Li. Int. J. Intell. Syst., 37 (10): 8046-8067 (2022)Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting.J. Gao, W. Hu, and Y. Chen. CoRR, (2023)TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning.J. Gao, W. Hu, D. Zhang, and Y. Chen. CoRR, (2022)Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness.Y. Liu, J. Gao, Z. Liu, X. Jiao, X. Fan, and R. Liu. CoRR, (2023)

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Disambiguation of "Gao, Jiaxin"

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CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting.

Please choose a person to relate this publication to

Jiaxin Pan

Jiaxin Dong

Jiaxin Zhao

Zhigang Gao

Gao Guo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gao, Jiaxin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting.

Please choose a person to relate this publication to

Jiaxin Pan

Jiaxin Dong

Jiaxin Zhao

Zhigang Gao

Gao Guo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting.