Huaqiang Wu
Huaqiang Wu
Tsinghua University, Cornell University
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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 memristive neural networks for pattern classification with unsupervised learning
Z Wang, S Joshi, S Savel’ev, W Song, R Midya, Y Li, M Rao, P Yan, ...
Nature Electronics 1 (2), 137-145, 2018
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
Recommended methods to study resistive switching devices
M Lanza, HSP Wong, E Pop, D Ielmini, D Strukov, BC Regan, L Larcher, ...
Advanced Electronic Materials 5 (1), 1800143, 2019
Towards artificial general intelligence with hybrid Tianjic chip architecture
J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ...
Nature 572 (7767), 106-111, 2019
Resistive switching materials for information processing
Z Wang, H Wu, GW Burr, CS Hwang, KL Wang, Q Xia, JJ Yang
Nature Reviews Materials 5 (3), 173-195, 2020
Synthesis and characterization of vertically standing MoS 2 nanosheets
H Li, H Wu, S Yuan, H Qian
Scientific reports 6 (1), 1-9, 2016
Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect
S Yu, PY Chen, Y Cao, L Xia, Y Wang, H Wu
2015 IEEE International Electron Devices Meeting (IEDM), 17.3. 1-17.3. 4, 2015
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges
J Tang, F Yuan, X Shen, Z Wang, M Rao, Y He, Y Sun, X Li, W Zhang, Y Li, ...
Advanced Materials 31 (49), 1902761, 2019
Binary neural network with 16 Mb RRAM macro chip for classification and online training
S Yu, Z Li, PY Chen, H Wu, B Gao, D Wang, W Wu, H Qian
2016 IEEE International Electron Devices Meeting (IEDM), 16.2. 1-16.2. 4, 2016
An artificial nociceptor based on a diffusive memristor
JH Yoon, Z Wang, KM Kim, H Wu, V Ravichandran, Q Xia, CS Hwang, ...
Nature communications 9 (1), 1-9, 2018
Threshold switching of Ag or Cu in dielectrics: materials, mechanism, and applications
Z Wang, M Rao, R Midya, S Joshi, H Jiang, P Lin, W Song, S Asapu, ...
Advanced Functional Materials 28 (6), 1704862, 2018
Graphene oxide quantum dots based memristors with progressive conduction tuning for artificial synaptic learning
X Yan, L Zhang, H Chen, X Li, J Wang, Q Liu, C Lu, J Chen, H Wu, P Zhou
Advanced Functional Materials 28 (40), 1803728, 2018
Improving Analog Switching in HfOx-Based Resistive Memory With a Thermal Enhanced Layer
W Wu, H Wu, B Gao, N Deng, S Yu, H Qian
IEEE Electron Device Letters 38 (8), 1019-1022, 2017
Capacitive neural network with neuro-transistors
Z Wang, M Rao, JW Han, J Zhang, P Lin, Y Li, C Li, W Song, S Asapu, ...
Nature communications 9 (1), 1-10, 2018
Understanding memristive switching via in situ characterization and device modeling
W Sun, B Gao, M Chi, Q Xia, JJ Yang, H Qian, H Wu
Nature communications 10 (1), 1-13, 2019
Study of multi-level characteristics for 3D vertical resistive switching memory
Y Bai, H Wu, R Wu, Y Zhang, N Deng, Z Yu, H Qian
Scientific reports 4 (1), 1-7, 2014
Study of conduction and switching mechanisms in Al/AlOx/WOx/W resistive switching memory for multilevel applications
Y Zhang, H Wu, Y Bai, A Chen, Z Yu, J Zhang, H Qian
Applied Physics Letters 102 (23), 233502, 2013
Experimental characterization of physical unclonable function based on 1 kb resistive random access memory arrays
R Liu, H Wu, Y Pang, H Qian, S Yu
IEEE Electron Device Letters 36 (12), 1380-1383, 2015
Fabrication and characterization of pre-aligned gallium nitride nanowire field-effect transistors
HY Cha, H Wu, M Chandrashekhar, YC Choi, S Chae, G Koley, ...
Nanotechnology 17 (5), 1264, 2006
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