| Training spiking neural networks with event-driven backpropagation Y Zhu, Z Yu, W Fang, X Xie, T Huang, T Masquelier Advances in Neural Information Processing Systems 35, 30528-30541, 2022 | 43 | 2022 |
| Exploring loss functions for time-based training strategy in spiking neural networks Y Zhu, W Fang, X Xie, T Huang, Z Yu Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Online stabilization of spiking neural networks Y Zhu, J Ding, T Huang, X Xie, Z Yu The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
| An FPGA accelerator for high-speed moving objects detection and tracking with a spike camera Y Zhu, Y Zhang, X Xie, T Huang Neural Computation 34 (8), 1812-1839, 2022 | 7 | 2022 |
| Single machine vector scheduling with general penalties X Liu, W Li, Y Zhu Mathematics 9 (16), 1965, 2021 | 6 | 2021 |
| Algorithms for single machine scheduling problem with release dates and submodular penalties X Liu, M Xiao, W Li, Y Zhu, L Ma Journal of Combinatorial Optimization 45 (4), 105, 2023 | 3 | 2023 |
| On-line Single Machine Scheduling with Release Dates and Submodular Rejection Penalties X Liu, Y Zhu, W Li, L Ma International Conference on Algorithmic Applications in Management, 55-65, 2022 | 1 | 2022 |
| Appendix for Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks Y Zhu, W Fang, T Huang, X Xie, Z Yu | | |
