Wenqiang Zhang
Wenqiang Zhang
PhD student of the Institute of Microelectronics, Tsinghua University
Verified email at mails.tsinghua.edu.cn - Homepage
Cited by
Cited by
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), 1-8, 2017
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
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
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
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
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
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
2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
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
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
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
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
A compact model of analog RRAM for neuromorphic computing system design
W Zhang, H Wu, P Yao, B Gao, H Qian
2018 China Semiconductor Technology International Conference (CSTIC), 1-3, 2018
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
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
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 Systems, 2020
Parasitic Resistance Effect Analysis in RRAM-based TCAM for Memory Augmented Neural Networks
Y Liao, B Gao, W Zhang, P Yao, X Li, J Tang, Z Li, S Cui, H Wu, H Qian
2020 IEEE International Memory Workshop (IMW), 1-4, 2020
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
Optimization Strategy for Accelerating Multi-Bit Resistive Weight Programming on the RRAM Array
J Chen, H Wu, B Gao, J Tang, W Zhang, H Qian
2019 IEEE International Workshop on Future Computing (IWOFC, 1-3, 2019
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