J
Jianhua Yang
Researcher at Chinese Academy of Sciences
Publications - 818
Citations - 38492
Jianhua Yang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Memristor. The author has an hindex of 74, co-authored 554 publications receiving 27839 citations. Previous affiliations of Jianhua Yang include Hewlett-Packard & Fudan University.
Papers
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Journal ArticleDOI
Memristive devices for computing
TL;DR: The performance requirements for computing with memristive devices are examined and how the outstanding challenges could be met are examined.
Journal ArticleDOI
Memristive switching mechanism for metal/oxide/metal nanodevices.
Jianhua Yang,Matthew D. Pickett,Xuema Li,Douglas A. A. Ohlberg,Duncan Stewart,R. Stanley Williams +5 more
TL;DR: Experimental evidence is provided to support this general model of memristive electrical switching in oxide systems, and micro- and nanoscale TiO2 junction devices with platinum electrodes that exhibit fast bipolar nonvolatile switching are built.
Journal ArticleDOI
‘Memristive’ switches enable ‘stateful’ logic operations via material implication
Julien Borghetti,Gregory S. Snider,Philip J. Kuekes,Jianhua Yang,Duncan Stewart,Duncan Stewart,R. Stanley Williams +6 more
TL;DR: Bipolar voltage-actuated switches, a family of nonlinear dynamical memory devices, can execute material implication (IMP), which is a fundamental Boolean logic operation on two variables p and q such that pIMPq is equivalent to (NOTp)ORq.
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Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Zhongrui Wang,Saumil Joshi,Sergey Savel'ev,Hao Jiang,Rivu Midya,Peng Lin,Miao Hu,Ning Ge,John Paul Strachan,Zhiyong Li,Qing Wu,Mark Barnell,Geng Lin Li,Huolin L. Xin,R. Stanley Williams,Qiangfei Xia,Jianhua Yang +16 more
TL;DR: The diffusive Ag-in-oxide memristor and its dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses, representing an advance in hardware implementation of neuromorphic functionalities.
Journal ArticleDOI
Fully hardware-implemented memristor convolutional neural network
Peng Yao,Huaqiang Wu,Bin Gao,Jianshi Tang,Qingtian Zhang,Wenqiang Zhang,Jianhua Yang,He Qian +7 more
TL;DR: The fabrication of high-yield, high-performance and uniform memristor crossbar arrays for the implementation of CNNs and an effective hybrid-training method to adapt to device imperfections and improve the overall system performance are proposed.