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
367 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, 2019
342 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
303 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, 1311-1318, 2019
233 2019 Hygcn: A gcn accelerator with hybrid architecture M Yan, L Deng, X Hu, L Liang, Y Feng, X Ye, Z Zhang, D Fan, Y Xie
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
124 2020 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
123 * 2018 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
110 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
87 2020 Deepsniffer: A dnn model extraction framework based on learning architectural hints X Hu, L Liang, S Li, L Deng, P Zuo, Y Ji, X Xie, Y Ding, C Liu, T Sherwood, ...
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
77 * 2020 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
66 2015 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
57 2020 Going deeper with directly-trained larger spiking neural networks H Zheng, Y Wu, L Deng, Y Hu, G Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11062 …, 2021
54 2021 Training high-performance and large-scale deep neural networks with full 8-bit integers Y Yang, L Deng, S Wu, T Yan, Y Xie, G Li
Neural Networks, 2020
54 2020 Alleviating irregularity in graph analytics acceleration: A hardware/software co-design approach M Yan, X Hu, S Li, A Basak, H Li, X Ma, I Akgun, Y Feng, P Gu, L Deng, ...
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
51 2019 Temperature based restricted Boltzmann machines G Li, L Deng, Y Xu, C Wen, W Wang, J Pei, L Shi
Scientific reports 6, 19133, 2016
46 2016 Development of a neuromorphic computing system L Shi, J Pei, N Deng, D Wang, L Deng, Y Wang, Y Zhang, F Chen, M Zhao, ...
2015 IEEE international electron devices meeting (IEDM), 4.3. 1-4.3. 4, 2015
43 2015 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
41 2020 Hitnet: Hybrid ternary recurrent neural network P Wang, X Xie, L Deng, G Li, D Wang, Y Xie
Advances in Neural Information Processing Systems 31, 2018
40 2018 {GNNAdvisor}: An Adaptive and Efficient Runtime System for {GNN} Acceleration on {GPUs} Y Wang, B Feng, G Li, S Li, L Deng, Y Xie, Y Ding
15th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2021
38 2021 Complex learning in bio-plausible memristive networks L Deng, G Li, N Deng, D Wang, Z Zhang, W He, H Li, J Pei, L Shi
Scientific reports 5 (1), 1-10, 2015
38 2015 
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityZweryfikowany adres z ia.ac.cn
