| Incorporating learnable membrane time constant to enhance learning of spiking neural networks W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 476 | 2021 |
| Deep residual learning in spiking neural networks W Fang, Z Yu, Y Chen, T Huang, T Masquelier, Y Tian Advances in Neural Information Processing Systems 34, 21056-21069, 2021 | 357 | 2021 |
| Spikingjelly W Fang, Y Chen, J Ding, D Chen, Z Yu, H Zhou, Y Tian Multimedia Learn. Group, Inst. Digit. Media (NELVT), 2020 | 166* | 2020 |
| Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks T Bu, W Fang, J Ding, PL Dai, Z Yu, T Huang arXiv preprint arXiv:2303.04347, 2023 | 156 | 2023 |
| Optimal ann-snn conversion for fast and accurate inference in deep spiking neural networks J Ding, Z Yu, Y Tian, T Huang arXiv preprint arXiv:2105.11654, 2021 | 133 | 2021 |
| A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks P Dai, K Hu, X Wu, H Xing, F Teng, Z Yu IEEE Transactions on Intelligent Transportation Systems 23 (2), 899-911, 2020 | 80 | 2020 |
| Design and implementation of a noncontact sleep monitoring system using infrared cameras and motion sensor F Deng, J Dong, X Wang, Y Fang, Y Liu, Z Yu, J Liu, F Chen IEEE Transactions on Instrumentation and Measurement 67 (7), 1555-1563, 2018 | 75 | 2018 |
| Optimized potential initialization for low-latency spiking neural networks T Bu, J Ding, Z Yu, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 11-20, 2022 | 73 | 2022 |
| SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence W Fang, Y Chen, J Ding, Z Yu, T Masquelier, D Chen, L Huang, H Zhou, ... Science Advances 9 (40), eadi1480, 2023 | 69 | 2023 |
| Temporal Effective Batch Normalization in Spiking Neural Networks C Duan, J Ding, S Chen, Z Yu, T Huang Advances in Neural Information Processing Systems, 2022 | 63 | 2022 |
| Multi-armed bandit learning for computation-intensive services in MEC-empowered vehicular networks P Dai, Z Hang, K Liu, X Wu, H Xing, Z Yu, VCS Lee IEEE Transactions on Vehicular Technology 69 (7), 7821-7834, 2020 | 63 | 2020 |
| Event-based vision enhanced: A joint detection framework in autonomous driving J Li, S Dong, Z Yu, Y Tian, T Huang 2019 ieee international conference on multimedia and expo (icme), 1396-1401, 2019 | 58 | 2019 |
| Asynchronous deep reinforcement learning for data-driven task offloading in MEC-empowered vehicular networks P Dai, K Hu, X Wu, H Xing, Z Yu IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 56 | 2021 |
| A distributed algorithm for task offloading in vehicular networks with hybrid fog/cloud computing Z Liu, P Dai, H Xing, Z Yu, W Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (7), 4388-4401, 2021 | 55 | 2021 |
| Heterogeneous cooperative belief for social dilemma in multi-agent system K Huang, X Chen, Z Yu, C Yang, W Gui Applied Mathematics and Computation 320, 572-579, 2018 | 53 | 2018 |
| High-speed image reconstruction through short-term plasticity for spiking cameras Y Zheng, L Zheng, Z Yu, B Shi, Y Tian, T Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
| 1000× faster camera and machine vision with ordinary devices T Huang, Y Zheng, Z Yu, R Chen, Y Li, R Xiong, L Ma, J Zhao, S Dong, ... Engineering 25, 110-119, 2023 | 51 | 2023 |
| Reconstruction of natural visual scenes from neural spikes with deep neural networks Y Zhang, S Jia, Y Zheng, Z Yu, Y Tian, S Ma, T Huang, JK Liu Neural Networks 125, 19-30, 2020 | 48 | 2020 |
| Pruning of deep spiking neural networks through gradient rewiring Y Chen, Z Yu, W Fang, T Huang, Y Tian arXiv preprint arXiv:2105.04916, 2021 | 47 | 2021 |
| Toward the next generation of retinal neuroprosthesis: Visual computation with spikes Z Yu, JK Liu, S Jia, Y Zhang, Y Zheng, Y Tian, T Huang Engineering 6 (4), 449-461, 2020 | 43 | 2020 |
Tiejun HuangProfessor,School of EE&CS, Peking University在 pku.edu.cn 的电子邮件经过验证
