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Yujia Zhai
Researcher at University of California, Riverside
Publications - 68
Citations - 742
Yujia Zhai is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Model predictive control & Computer science. The author has an hindex of 12, co-authored 48 publications receiving 450 citations. Previous affiliations of Yujia Zhai include Shandong University & Memorial Sloan Kettering Cancer Center.
Papers
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Journal ArticleDOI
The innate immunity protein IFITM3 modulates γ-secretase in Alzheimer’s disease
Ji-Yeun Hur,Georgia R. Frost,Georgia R. Frost,Xianzhong Wu,Christina J. Crump,Christina J. Crump,Si Jia Pan,Eitan Wong,Marília A. S. Barros,Thomas Li,Thomas Li,Pengju Nie,Pengju Nie,Yujia Zhai,Jen Chyong Wang,Julia Tcw,Lei Guo,Andrew M. McKenzie,Chen Ming,Xianxiao Zhou,Minghui Wang,Yotam Sagi,Alan E. Renton,Bianca T. Esposito,Yong Kim,Katherine R. Sadleir,Ivy Trinh,Robert A. Rissman,Robert Vassar,Bin Zhang,Douglas S. Johnson,Eliezer Masliah,Paul Greengard,Alison Goate,Yue-Ming Li,Yue-Ming Li +35 more
TL;DR: A mechanism in which γ-secretase is modulated by neuroinflammation via IFITM3 and the risk of Alzheimer’s disease is thereby increased is revealed.
Journal ArticleDOI
Neural network model-based automotive engine air/fuel ratio control and robustness evaluation
Yujia Zhai,Dingli Yu +1 more
TL;DR: The model predictive control strategy is applied to engine air/fuel ratio control using neural network model, which uses information from multivariables and considers engine dynamics to do multi-step ahead prediction and is more accurate and robust compared with non-adaptive model based methods.
Proceedings ArticleDOI
A Chi-Square Statistics Based Feature Selection Method in Text Classification
TL;DR: A method for extracting feature words based on Chi-square Statistics to classify texts by using single word and double words as features at the same time and the efficiency of this method was demonstrated.
Journal ArticleDOI
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks
Kai Zhao,Sheng Di,Sihuan Li,Xin Liang,Yujia Zhai,Jieyang Chen,Kaiming Ouyang,Franck Cappello,Zizhong Chen +8 more
TL;DR: This article proposes several systematic ABFT schemes based on checksum techniques and analyzes their fault protection ability and runtime thoroughly, and designs a novel workflow integrating all the proposed schemes to obtain a high detection/correction ability with limited total runtime overhead.
Journal ArticleDOI
Salidroside attenuates oxidized low‑density lipoprotein‑induced endothelial cell injury via promotion of the AMPK/SIRT1 pathway
Dongming Zhao,Xinyi Sun,Shujie Lv,Miying Sun,Huatao Guo,Yujia Zhai,Zhi Wang,Peng Dai,Lina Zheng,Mingzhe Ye,Xinpeng Wang +10 more
TL;DR: It is suggested that salidroside protects HUVECs against ox-LDL injury through inhibiting oxidative stress and improving mitochondrial dysfunction, which were dependent on activating the AMPK/SIRT1 pathway.