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Yanan Zhong
Researcher at Tsinghua University
Publications - 9
Citations - 239
Yanan Zhong is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Neuromorphic engineering. The author has an hindex of 1, co-authored 2 publications receiving 17 citations.
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Journal ArticleDOI
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing.
TL;DR: In this paper, a parallel dynamic memristor-based reservoir computing system was proposed by applying a controllable mask process, in which the critical parameters, including state richness, feedback strength and input scaling, can be tuned by changing the mask length and the range of input signal.
Journal ArticleDOI
Analog memristive synapse based on topotactic phase transition for high-performance neuromorphic computing and neural network pruning
Mou Xing,Jianshi Tang,Yingjie Lyu,Qingtian Zhang,Siyao Yang,Feng Xu,Wei Liu,Minghong Xu,Yu Zhou,Wen Sun,Yanan Zhong,Bin Gao,Pu Yu,He Qian,Huaqiang Wu +14 more
TL;DR: In this article, a topotactic phase transition random access memory (TPT-RAM) with a unique diffusive nonvolatile dual mode based on SrCoO x is demonstrated.
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A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing
Yanan Zhong,Jianshi Tang,Xinyi Li,Xiangpeng Liang,Zhengwu Liu,Yijun Li,Yue Xi,Peng Yao,Zhenqi Hao,Bin Gao,He Qian,Huaqiang Wu +11 more
TL;DR: In this article , a fully analogue reservoir computing system that uses dynamic memristors for the reservoir layer and non-volatile memristor for the readout layer is presented.
Journal ArticleDOI
Rotating neurons for all-analog implementation of cyclic reservoir computing
Xiangpeng Liang,Yanan Zhong,Jianshi Tang,Zhengwu Liu,Peng Yao,KeYang Sun,Qingtian Zhang,Bin Gao,Hadi Heidari,He Qian,Huaqiang Wu +10 more
TL;DR: In this article , the authors proposed a rotation-based cyclic reservoir using rotating elements integrated with signal-driven dynamic neurons and achieved state-of-the-art performance in a nonlinear system approximation benchmark.
Journal ArticleDOI
Memristors-based Dendritic Neuron for High-Efficiency Spatial-Temporal Information Processing.
Xinyi Li,Yanan Zhong,Hang Chen,Jianshi Tang,Xiaojian Zheng,Wen Sun,Yan Li,Dong-Hai Wu,Bin Gao,Xiaolin Hu,He Qian,Huaqiang Wu +11 more
TL;DR: The dendritic neuron developed in this study can be considered a critical building block for implementing more bio-plausible neural networks that can manage complex spatial-temporal tasks with high efficiency.