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A model-data asymptotic-preserving neural network method based on micro-macro decomposition for gray radiative transfer equations


Dec 11, 2022
Hongyan Li, Song Jiang, Wenjun Sun, Liwei Xu, Guanyu Zhou

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Tele-Knowledge Pre-training for Fault Analysis


Oct 20, 2022
Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Song Jiang, Zhaoyang Lian, Yingying Li, Huajun Chen

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* 12 pages, 10 figures 

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Learning Probabilities of Causation from Finite Population Data


Oct 16, 2022
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl

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Unit Selection: Learning Benefit Function from Finite Population Data


Oct 15, 2022
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl

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Relational Message Passing for Fully Inductive Knowledge Graph Completion


Oct 08, 2022
Yuxia Geng, Jiaoyan Chen, Wen Zhang, Jeff Z. Pan, Mingyang Chen, Huajun Chen, Song Jiang

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* under review 

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Deep Learning of Potential Outcomes


Oct 09, 2021
Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster

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Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks


Nov 17, 2019
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu

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* Published in NeurIPS 2019 

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