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Huaqiang Wu
Huaqiang Wu
Tsinghua University, Cornell University
Verified email at tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
18062020
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
10022018
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
9372019
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
9152020
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
9082017
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
6082019
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
6082019
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
5972020
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
T Zhou, X Lin, J Wu, Y Chen, H Xie, Y Li, J Fan, H Wu, L Fang, Q Dai
Nature Photonics 15 (5), 367-373, 2021
5032021
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
4382022
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), 3453, 2019
4162019
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), 417, 2018
3852018
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Y Zhong, J Tang, X Li, B Gao, H Qian, H Wu
Nature communications 12 (1), 408, 2021
3602021
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
3232018
Reliability of analog resistive switching memory for neuromorphic computing
M Zhao, B Gao, J Tang, H Qian, H Wu
Applied Physics Reviews 7 (1), 2020
2782020
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), 3208, 2018
2672018
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
2632018
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
2542016
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
2532017
In situ training of feed-forward and recurrent convolutional memristor networks
Z Wang, C Li, P Lin, M Rao, Y Nie, W Song, Q Qiu, Y Li, P Yan, ...
Nature Machine Intelligence 1 (9), 434-442, 2019
2462019
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