Ma, Lintao
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1

Flow-Based End-to-End Model for Hierarchical Time Series Fo..:

, In: Database Systems for Advanced Applications; Lecture Notes in Computer Science,
Wang, Shiyu ; Sun, Yinbo ; Wang, Yan... - p. 167-176 , 2023
 
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3

End-to-End Modeling of Hierarchical Time Series Using Autor..:

, In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),
Wang, Shiyu ; Zhou, Fan ; Sun, Yinbo... - p. 1087-1094 , 2022
 
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4

A Meta Reinforcement Learning Approach for Predictive Autos..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Xue, Siqiao ; Qu, Chao ; Shi, Xiaoming... - p. 4290-4299 , 2022
 
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6

Optimal Decay Rates of Higher-Order Derivatives of Solution..:

Ma, Lintao ; Wang, Juan ; Zhang, Yinghui
Bulletin of the Malaysian Mathematical Sciences Society.  45 (2022)  6 - p. 3067-3084 , 2022
 
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7

Global existence and time decay rates of the two-phase flui..:

Zhang, Yinghui ; Wang, Juan ; Xiao, Changguo.
Zeitschrift für angewandte Mathematik und Physik.  72 (2021)  5 - p. , 2021
 
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8

A Riemannian Primal-dual Algorithm Based on Proximal Operat..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),
Wang, Shijun ; Zhu, Baocheng ; Ma, Lintao. - p. 1-8 , 2019
 
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9

Intelligent techniques for cigarette formula design:

Feng, Tian-Jin ; Ma, Lin-Tao ; Ding, Xiang-Qian..
Mathematics and Computers in Simulation.  77 (2008)  5-6 - p. 476-486 , 2008
 
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14

Continuous Invariance Learning:

Lin, Yong ; Zhou, Fan ; Tan, Lu...
http://arxiv.org/abs/2310.05348.  , 2023
 
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