Guoqi Li
Guoqi Li
Associate Professor, Tsinghua University, Beijing, P.R. China
Verified email at - Homepage
Cited by
Cited by
Training and inference with integers in deep neural networks
S Wu, G Li, F Chen, L Shi
arXiv preprint arXiv:1802.04680, 2018
Spatio-temporal backpropagation for training high-performance spiking neural networks
Y Wu, L Deng, G Li, J Zhu, L Shi
Frontiers in neuroscience 12, 331, 2018
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
Model compression and hardware acceleration for neural networks: A comprehensive survey
L Deng, G Li, S Han, L Shi, Y Xie
Proceedings of the IEEE 108 (4), 485-532, 2020
Direct training for spiking neural networks: Faster, larger, better
Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1311-1318, 2019
Continuous and noninvasive blood pressure measurement: a novel modeling methodology of the relationship between blood pressure and pulse wave velocity
Y Chen, C Wen, G Tao, M Bi, G Li
Annals of biomedical engineering 37 (11), 2222-2233, 2009
Cifar10-dvs: an event-stream dataset for object classification
H Li, H Liu, X Ji, G Li, L Shi
Frontiers in neuroscience 11, 309, 2017
Adaptive crystallite kinetics in homogenous bilayer oxide memristor for emulating diverse synaptic plasticity
J Yin, F Zeng, Q Wan, F Li, Y Sun, Y Hu, J Liu, G Li, F Pan
Advanced Functional Materials 28 (19), 1706927, 2018
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
L Deng, P Jiao, J Pei, Z Wu, G Li
Neural Networks 100, 49-58, 2018
-Norm Batch Normalization for Efficient Training of Deep Neural Networks
S Wu, G Li, L Deng, L Liu, D Wu, Y Xie, L Shi
IEEE transactions on neural networks and learning systems 30 (7), 2043-2051, 2018
Few-shot image recognition with knowledge transfer
Z Peng, Z Li, J Zhang, Y Li, GJ Qi, J Tang
Proceedings of the IEEE/CVF International Conference on Computer Vision, 441-449, 2019
Identification of a class of nonlinear autoregressive models with exogenous inputs based on kernel machines
G Li, C Wen, WX Zheng, Y Chen
IEEE Transactions on Signal Processing 59 (5), 2146-2159, 2011
Enabling an integrated rate-temporal learning scheme on memristor
W He, K Huang, N Ning, K Ramanathan, G Li, Y Jiang, JY Sze, L Shi, ...
Scientific reports 4 (1), 1-6, 2014
Minimum-cost control of complex networks
G Li, W Hu, G Xiao, L Deng, P Tang, J Pei, L Shi
New Journal of Physics 18 (1), 013012, 2015
Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference
J Huang, YD Song, W Wang, C Wen, G Li
Automatica 83, 361-367, 2017
Fully distributed adaptive consensus control of a class of high-order nonlinear systems with a directed topology and unknown control directions
J Huang, Y Song, W Wang, C Wen, G Li
IEEE transactions on cybernetics 48 (8), 2349-2356, 2018
Rethinking the performance comparison between SNNS and ANNS
L Deng, Y Wu, X Hu, L Liang, Y Ding, G Li, G Zhao, P Li, Y Xie
Neural Networks 121, 294-307, 2020
Truly Concomitant and Independently Expressed Short‐ and Long‐Term Plasticity in a Bi2O2Se‐Based Three‐Terminal Memristor
Z Zhang, T Li, Y Wu, Y Jia, C Tan, X Xu, G Wang, J Lv, W Zhang, Y He, ...
Advanced Materials 31 (3), 1805769, 2019
Motor imagery EEG signals classification based on mode amplitude and frequency components using empirical wavelet transform
MT Sadiq, X Yu, Z Yuan, Z Fan, AU Rehman, G Li, G Xiao
IEEE Access 7, 127678-127692, 2019
Model-based online learning with kernels
G Li, C Wen, ZG Li, A Zhang, F Yang, K Mao
IEEE transactions on neural networks and learning systems 24 (3), 356-369, 2013
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