Search Results - "Shi, Naichen" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

The Internet of Federated Things (IoFT)

The Internet of Federated Things (IoFT)

by Kontar, Raed, Shi, Naichen, Yue, Xubo, Chung, Seokhyun, Byon, Eunshin, Chowdhury, Mosharaf, Jin, Jionghua, Kontar, Wissam, Masoud, Neda, Nouiehed, Maher, Okwudire, Chinedum E., Raskutti, Garvesh, Saigal, Romesh, Singh, Karandeep, Ye, Zhi-Sheng
Published in IEEE access (2021)

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Journal Article

Personalized feature extraction for manufacturing process signature characterization and anomaly detection

Personalized feature extraction for manufacturing process signature characterization and anomaly detection

by Shi, Naichen, Guo, Shenghan, Al Kontar, Raed
Published in Journal of manufacturing systems (01.06.2024)

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Journal Article

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing

by Shi, Naichen, Kontar, Raed Al
Published in Technometrics (03.07.2023)

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Journal Article

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification

by Shi, Naichen, Lai, Fan, Al Kontar, Raed, Chowdhury, Mosharaf
Published in IEEE transactions on automation science and engineering (01.07.2024)

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Journal Article

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components

by Shi, Naichen, Fattahi, Salar, Kontar, Raed Al
Year of Publication 21.03.2024

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Journal Article

Personalized PCA: Decoupling Shared and Unique Features

Personalized PCA: Decoupling Shared and Unique Features

by Shi, Naichen, Kontar, Raed Al
Year of Publication 16.07.2022

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Journal Article

Heterogeneous Matrix Factorization: When Features Differ by Datasets

Heterogeneous Matrix Factorization: When Features Differ by Datasets

by Shi, Naichen, Kontar, Raed Al, Fattahi, Salar
Year of Publication 28.05.2023

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Journal Article

Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics

Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics

by Shi, Naichen, Yan, Hao, Guo, Shenghan, Kontar, Raed Al
Year of Publication 24.07.2024

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Journal Article

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data

by Hu, Jiuyun, Shi, Naichen, Kontar, Raed Al, Yan, Hao
Year of Publication 06.09.2023

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Journal Article

Personalized Dictionary Learning for Heterogeneous Datasets

Personalized Dictionary Learning for Heterogeneous Datasets

by Liang, Geyu, Shi, Naichen, Kontar, Raed Al, Fattahi, Salar
Year of Publication 24.05.2023

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Journal Article

Personalized PCA: Decoupling Shared and Unique Features

Personalized PCA: Decoupling Shared and Unique Features

by Shi, Naichen, Raed Al Kontar
Published in arXiv.org (08.02.2024)

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Paper

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning

by Shi, Naichen, Li, Ruichen, Youran, Sun
Year of Publication 15.02.2021

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Journal Article

Heterogeneous Matrix Factorization: When Features Differ by Datasets

Heterogeneous Matrix Factorization: When Features Differ by Datasets

by Shi, Naichen, Raed Al Kontar, Fattahi, Salar
Published in arXiv.org (27.03.2024)

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Paper

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components

by Shi, Naichen, Fattahi, Salar, Raed Al Kontar
Published in arXiv.org (21.03.2024)

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Paper

Adam Can Converge Without Any Modification On Update Rules

Adam Can Converge Without Any Modification On Update Rules

by Zhang, Yushun, Chen, Congliang, Shi, Naichen, Sun, Ruoyu, Luo, Zhi-Quan
Year of Publication 20.08.2022

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Journal Article

Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics

Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics

by Shi, Naichen, Yan, Hao, Guo, Shenghan, Raed Al Kontar
Published in arXiv.org (25.07.2024)

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Paper

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

by Shi, Naichen, Lai, Fan, Raed Al Kontar, Chowdhury, Mosharaf
Published in arXiv.org (21.07.2021)

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Paper Journal Article

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data

by Hu, Jiuyun, Shi, Naichen, Raed Al Kontar, Yan, Hao
Published in arXiv.org (07.09.2023)

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Paper

Personalized Dictionary Learning for Heterogeneous Datasets

Personalized Dictionary Learning for Heterogeneous Datasets

by Liang, Geyu, Shi, Naichen, Raed Al Kontar, Fattahi, Salar
Published in arXiv.org (24.05.2023)

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Paper

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning

by Shi, Naichen, Li, Ruichen, Sun Youran
Published in arXiv.org (15.02.2021)

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Paper