| 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 | 1121 | 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 | 983 | 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 | 922 | 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 | 712 | 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 | 485 | 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 | 355 | 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 | 293 | 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 | 220 | 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 | 200* | 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 | 188 | 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 | 183* | 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 | 166 | 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 | 163 | 2021 |
| 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 | 153 | 2023 |
| 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 | 151 | 2020 |
| 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 | 119 | 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 | 119 | 2020 |
| 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 | 97 | 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 | 90 | 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 | 88 | 2022 |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua University在 ia.ac.cn 的电子邮件经过验证
