Yujie Wu
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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
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
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
Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm
J Wang, H Jiang, Y Wu, Y Dong
Energy 81, 627-644, 2015
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
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
A novel hybrid model based on artificial neural networks for solar radiation prediction
Y Wu, J Wang
Renewable Energy 89, 268-284, 2016
Highly compact artificial memristive neuron with low energy consumption
Y Zhang, W He, Y Wu, K Huang, Y Shen, J Su, Y Wang, Z Zhang, X Ji, ...
Small 14 (51), 1802188, 2018
Tianjic: A unified and scalable chip bridging spike-based and continuous neural computation
L Deng, G Wang, G Li, S Li, L Liang, M Zhu, Y Wu, Z Yang, Z Zou, J Pei, ...
IEEE Journal of Solid-State Circuits 55 (8), 2228-2246, 2020
Comparing snns and rnns on neuromorphic vision datasets: similarities and differences
W He, YJ Wu, L Deng, G Li, H Wang, Y Tian, W Ding, W Wang, Y Xie
Neural Networks 132, 108-120, 2020
Going deeper with directly-trained larger spiking neural networks
H Zheng, Y Wu, L Deng, Y Hu, G Li
arXiv preprint arXiv:2011.05280, 2020
Comprehensive snn compression using admm optimization and activity regularization
L Deng, Y Wu, Y Hu, L Liang, G Li, X Hu, Y Ding, P Li, Y Xie
arXiv preprint arXiv:1911.00822, 2019
DashNet: A hybrid artificial and spiking neural network for high-speed object tracking
Z Yang, Y Wu, G Wang, Y Yang, G Li, L Deng, J Zhu, L Shi
arXiv preprint arXiv:1909.12942, 2019
A hybrid and scalable brain-inspired robotic platform
Z Zou, R Zhao, Y Wu, Z Yang, L Tian, S Wu, G Wang, Y Yu, Q Zhao, ...
Scientific reports 10 (1), 1-13, 2020
Exploring adversarial attack in spiking neural networks with spike-compatible gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding, P Li, Y Xie
arXiv preprint arXiv:2001.01587, 2020
End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip
G Wang, S Ma, Y Wu, J Pei, R Zhao, L Shi
Frontiers in Neuroscience 15, 2021
Brain-inspired global-local hybrid learning towards human-like intelligence
Y Wu, R Zhao, J Zhu, F Chen, M Xu, G Li, S Song, L Deng, G Wang, ...
arXiv preprint arXiv:2006.03226, 2020
Engineering the Synaptic Kinetic Process into Memristive Device
Z Zhang, Y Wang, H Li, Y Wu, G Wang, L Shi
Advanced Electronic Materials 4 (6), 1800096, 2018
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
M Xu, Y Wu, L Deng, F Liu, G Li, J Pei
arXiv preprint arXiv:2107.06865, 2021
HNST: Hybrid Neural State Tracker for High Speed Tracking
Z Zou, Y Wu, R Zhao
2021 7th International Conference on Control, Automation and Robotics (ICCAR …, 2021
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