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Xinyu Zhang

Researcher at University of California, San Diego

Publications -  169
Citations -  6006

Xinyu Zhang is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Wireless network & Wireless. The author has an hindex of 38, co-authored 140 publications receiving 4681 citations. Previous affiliations of Xinyu Zhang include Wisconsin Alumni Research Foundation & University of Toronto.

Papers
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The infertile individual analysis based on whole-exome sequencing in chinese multi-ethnic groups

TL;DR: This study establishes the genetics analysis of Northwest China and finds a candidate gene locus KNTC1 (rs7968222: G > T), which is one of the genetic susceptibility factors for male azoospermia.
Journal ArticleDOI

Direct insertion into the C–C bond of unactivated ketones with NaH-mediated aryne chemistry

TL;DR: In this article , the authors proposed a NaH-mediated activation strategy for the generation of highly reactive aryne species in a controlled manner, which can efficiently participate in a C-C σ-bond insertion reaction with unactivated ketones, which is difficult to achieve by existing methods.
Proceedings ArticleDOI

Demo: A paper keyboard for mobile devices

TL;DR: UbiK, an alternative portable text-entry method that allows user to type on a piece of paper, placed on solid surfaces like wood desktop, leverages the microphones on a mobile device to accurately localize the keystrokes through fine-grained acoustic fingerprinting.
Patent

Hybrid learning method and device for improving interactive video transmission quality and equipment

TL;DR: In this paper, a hybrid learning method and device for improving interactive video transmission quality and electronic equipment is presented, which comprises the steps: obtaining a transmission parameter of a previous transmission time slot and an inter-packet delay sequence for a current transmission time slots; inputting the transmission parameter into a code rate prediction deep reinforcement learning model, and determining a first alternative transmission code rate; determining a network state identification value based on an interpackets delay trend represented by the interpacket delays sequence; determining the network state threshold of the current transmission timeslots; if the network