| Training high-performance low-latency spiking neural networks by differentiation on spike representation Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 162 | 2022 |
| MimicNet: Fast performance estimates for data center networks with machine learning Q Zhang, KKW Ng, C Kazer, S Yan, J Sedoc, V Liu Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 287-304, 2021 | 60 | 2021 |
| Burstsketch: Finding bursts in data streams Z Zhong, S Yan, Z Li, D Tan, T Yang, B Cui Proceedings of the 2021 International Conference on Management of Data, 2375 …, 2021 | 50 | 2021 |
| Towards memory-and time-efficient backpropagation for training spiking neural networks Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 49 | 2023 |
| Elastic bloom filter: deletable and expandable filter using elastic fingerprints Y Wu, J He, S Yan, J Wu, T Yang, O Ruas, G Zhang, B Cui IEEE Transactions on Computers 71 (4), 984-991, 2021 | 40 | 2021 |
| Training much deeper spiking neural networks with a small number of time-steps Q Meng, S Yan, M Xiao, Y Wang, Z Lin, ZQ Luo Neural Networks 153, 254-268, 2022 | 33 | 2022 |
| Sampling complex topology structures for spiking neural networks S Yan, Q Meng, M Xiao, Y Wang, Z Lin Neural Networks 172, 106121, 2024 | 6 | 2024 |
| BurstSketch Z Zhong, S Yan, Z Li, D Tan, T Yang, B Cui Proceedings of the 2021 International Conference on Management of Data, 2021 | | 2021 |
| Supplementary Materials for: Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo | | |
| Supplementary Materials for: Towards Memory-and Time-Efficient Backpropagation for Training Spiking Neural Networks Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo | | |
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchEmail verificata su pku.edu.cn
