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Xin Guo
Researcher at University of California, Berkeley
Publications - 308
Citations - 8663
Xin Guo is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 45, co-authored 213 publications receiving 6890 citations. Previous affiliations of Xin Guo include University of Georgia & University of Science and Technology of China.
Papers
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Enhancing sensitivity of a single ZnO micro-/nanowire photodetector by piezo-phototronic effect
TL;DR: The results show that the piezo-phototronic effect can enhance the detection sensitivity more than 5-fold for pW levels of light detection.
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2D Materials for Optical Modulation: Challenges and Opportunities.
TL;DR: Up-to-date 2D material-based optical modulation in three categories is reviewed: free-space, fiber-based, and on-chip configurations and the outlook for future opportunities of these 2D materials for optical modulation is given.
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A novel regulator of macrophage activation: miR-223 in obesity-associated adipose tissue inflammation.
Guoqing Zhuang,Cong Meng,Xin Guo,Patali S. Cheruku,Lei Shi,Hang Xu,Honggui Li,Gang Wang,Ashley R. Evans,Stephen Safe,Chaodong Wu,Beiyan Zhou +11 more
TL;DR: In this paper, the authors examined the activity of microRNA-223 (miR-223) and its role in controlling macrophage functions in adipose tissue inflammation and systemic insulin resistance.
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Direct coupling of plasmonic and photonic nanowires for hybrid nanophotonic components and circuits.
Xin Guo,Min Qiu,Jiming Bao,Benjamin J. Wiley,Qing Yang,Xining Zhang,Yaoguang Ma,Huakang Yu,Limin Tong +8 more
TL;DR: Photon-plasmon coupling efficiency up to 80% with coupling length down to the 200 nm level is achieved between individual Ag and ZnO nanowires and hybrid nanophotonic components, including polarization splitters, Mach-Zehnder interferometers, and microring cavities are fabricated.
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On the optimality of conditional expectation as a Bregman predictor
TL;DR: It is shown that E[X|Z] is the optimal predictor for all Bregman loss functions (BLFs), of which the L/sup 2/ loss function is a special case, and under mild conditions, it is demonstrated that the BLFs are exhaustive.