Lei Deng (邓磊)
Lei Deng (邓磊)
Associate Professor at Tsinghua University
Verified email at - Homepage
Cited by
Cited by
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, 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, 1311-1318, 2019
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
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
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
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
-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
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
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
{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
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
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
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
Attention spiking neural networks
M Yao, G Zhao, H Zhang, Y Hu, L Deng, Y Tian, B Xu, G Li
IEEE transactions on pattern analysis and machine intelligence 45 (8), 9393-9410, 2023
Sampling methods for efficient training of graph convolutional networks: A survey
X Liu, M Yan, L Deng, G Li, X Ye, D Fan
IEEE/CAA Journal of Automatica Sinica 9 (2), 205-234, 2021
SpaceA: Sparse matrix vector multiplication on processing-in-memory accelerator
X Xie, Z Liang, P Gu, A Basak, L Deng, L Liang, X Hu, Y Xie
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
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
Brain-inspired global-local learning incorporated with neuromorphic computing
Y Wu, R Zhao, J Zhu, F Chen, M Xu, G Li, S Song, L Deng, G Wang, ...
Nature Communications 13 (1), 65, 2022
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