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Graph Fourier transforms on directed product graphs


Sep 07, 2022
Cheng Cheng, Yang Chen, Jeon Yu Lee, Qiyu Sun

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Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19


Aug 28, 2022
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss

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Graph Fourier transform based on singular value decomposition of directed Laplacian


May 12, 2022
Yang Chen, Cheng Cheng, Qiyu Sun

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Wiener filters on graphs and distributed polynomial approximation algorithms


May 09, 2022
Cong Zheng, Cheng Cheng, Qiyu Sun

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MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks


Mar 14, 2022
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee

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* Accepted by the WebConf 2022 

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Learning to Adapt to Light


Feb 16, 2022
Kai-Fu Yang, Cheng Cheng, Shi-Xuan Zhao, Xian-Shi Zhang, Yong-Jie Li

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* 10 pages, 9 figures 

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A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method


Dec 10, 2021
Sen Zhao, Yong Zhang, Shang Wang, Beitong Zhou, Cheng Cheng

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* Measurement 2019 

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OneFlow: Redesign the Distributed Deep Learning Framework from Scratch


Oct 29, 2021
Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao

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Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)


Oct 26, 2021
Cheng Cheng, Wei Dai

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* arXiv admin note: text overlap with arXiv:1911.08975 

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Dictionary Learning with Convex Update (ROMD)


Oct 25, 2021
Cheng Cheng, Wei Dai

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