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何毓辉
个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
在职信息：在职
所在单位：集成电路学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：北京大学
学科：微电子学与固体电子学
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An Ultrafast Sparse Solution Solver made by HfWOx/VOy Threshold Tunable Neurons.[M].IEDM,2023,
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Computational event-driven vision sensors for in-sensor spiking neural networks.[J].Nature Electronics,2023,
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Reconfigurable two-WSe2-transistor synaptic cell for reinforcement learning.Advanced Materials,2022,
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Reconfigurable Synaptic and Neuronal Functions in a V/VOx/HfWOx/Pt Memristor for Nonpolar Spiking Convolutional Neural Network.[J].Advanced Functional Materials,2022,
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Graphene–ferroelectric transistors as complementary synapses for supervised learning in spiking neural network.[J].NPJ 2D Materials & Applications,2019,31
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Threshold Switching Memristor-based Stochastic Neuron for Probabilistic Computing.[J].Materials Horizons,2021,619-629
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Nanochannel-Based Transport in an Interfacial Memristor Can Emulate the Analog Weight Modulation of Synapses.[J].Nano Letters,2019,4279-4286
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Complementary Graphene-Ferroelectric Transistors (C-GFTs) as Synapses with Modulatable Plasticity for Supervised Learning.[C].2019 IEEE International Electron Devices Meeting,2019,
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Complementary Memtransistors based Multilayer Neural Networks for Online Supervised Learning through (anti-) Spiking-Timing Dependent Plasticity.[J].IEEE Transactions on Neural Networks & Learning Systems,2021,
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Solid-state nanopore systems: From materials to applications.[J].NPG Asia Materials,2021,48
