Wenqiang Zhang
Wenqiang Zhang
PhD student of the Institute of Microelectronics, Tsinghua University
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Zitiert von
Zitiert von
Fully hardware-implemented memristor convolutional neural network
P Yao, H Wu, B Gao, J Tang, Q Zhang, W Zhang, JJ Yang, H Qian
Nature 577 (7792), 641-646, 2020
Face classification using electronic synapses
P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ...
Nature communications 8 (1), 15199, 2017
Neuro-inspired computing chips
W Zhang, B Gao, J Tang, P Yao, S Yu, MF Chang, HJ Yoo, H Qian, H Wu
Nature electronics 3 (7), 371-382, 2020
A compute-in-memory chip based on resistive random-access memory
W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ...
Nature 608 (7923), 504-512, 2022
33.2 A fully integrated analog ReRAM based 78.4 TOPS/W compute-in-memory chip with fully parallel MAC computing
Q Liu, B Gao, P Yao, D Wu, J Chen, Y Pang, W Zhang, Y Liao, CX Xue, ...
2020 IEEE International Solid-State Circuits Conference-(ISSCC), 500-502, 2020
Power-efficient neural network with artificial dendrites
X Li, J Tang, Q Zhang, B Gao, JJ Yang, S Song, W Wu, W Zhang, P Yao, ...
Nature Nanotechnology 15 (9), 776-782, 2020
33.1 A 74 TMACS/W CMOS-RRAM neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models
W Wan, R Kubendran, SB Eryilmaz, W Zhang, Y Liao, D Wu, S Deiss, ...
2020 IEEE International Solid-State Circuits Conference-(ISSCC), 498-500, 2020
Device and circuit optimization of RRAM for neuromorphic computing
H Wu, P Yao, B Gao, W Wu, Q Zhang, W Zhang, N Deng, D Wu, ...
2017 IEEE International Electron Devices Meeting (IEDM), 11.5. 1-11.5. 4, 2017
Memristor-based analogue computing for brain-inspired sound localization with in situ training
B Gao, Y Zhou, Q Zhang, S Zhang, P Yao, Y Xi, Q Liu, M Zhao, W Zhang, ...
Nature communications 13 (1), 2026, 2022
Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems
Q Zhang, H Wu, P Yao, W Zhang, B Gao, N Deng, H Qian
Neural Networks 108, 217-223, 2018
Design guidelines of RRAM based neural-processing-unit: A joint device-circuit-algorithm analysis
W Zhang, X Peng, H Wu, B Gao, H He, Y Zhang, S Yu, H Qian
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Modeling disorder effect of the oxygen vacancy distribution in filamentary analog RRAM for neuromorphic computing
B Gao, H Wu, W Wu, X Wang, P Yao, Y Xi, W Zhang, N Deng, P Huang, ...
2017 IEEE International Electron Devices Meeting (IEDM), 4.4. 1-4.4. 4, 2017
Intrinsic charge storage capability of transition metal dichalcogenides as pseudocapacitor electrodes
X Cong, C Cheng, Y Liao, Y Ye, C Dong, H Sun, X Ji, W Zhang, P Fang, ...
The Journal of Physical Chemistry C 119 (36), 20864-20870, 2015
The role of terminations and coordination atoms on the pseudocapacitance of titanium carbonitride monolayers
W Zhang, C Cheng, P Fang, B Tang, J Zhang, G Huang, X Cong, B Zhang, ...
Physical Chemistry Chemical Physics 18 (6), 4376-4384, 2016
A compact model of analog RRAM with device and array nonideal effects for neuromorphic systems
Y Liao, B Gao, F Xu, P Yao, J Chen, W Zhang, J Tang, H Wu, H Qian
IEEE Transactions on Electron Devices 67 (4), 1593-1599, 2020
Diagonal matrix regression layer: Training neural networks on resistive crossbars with interconnect resistance effect
Y Liao, B Gao, P Yao, W Zhang, J Tang, H Wu, H Qian
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
Novel in-memory matrix-matrix multiplication with resistive cross-point arrays
Y Liao, H Wu, W Wan, W Zhang, B Gao, HSP Wong, H Qian
2018 IEEE Symposium on VLSI Technology, 31-32, 2018
Array-level boosting method with spatial extended allocation to improve the accuracy of memristor based computing-in-memory chips
W Zhang, B Gao, P Yao, J Tang, H Qian, H Wu
Science China Information Sciences 64 (6), 160406, 2021
Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning
Y Lin, Q Zhang, B Gao, J Tang, P Yao, C Li, S Huang, Z Liu, Y Zhou, Y Liu, ...
Nature Machine Intelligence 5 (7), 714-723, 2023
Contrastive band gap engineering of strained graphyne nanoribbons with armchair and zigzag edges
X Cong, Y Liao, Q Peng, Y Yang, C Cheng, W Zhang, P Fang, C Chen, ...
RSC advances 5 (73), 59344-59348, 2015
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