| Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks M Zhang, J Wang, J Wu, A Belatreche, Z Zhang, B Amornpaisannon, ... IEEE Transactions on Neural Networks and Learning Systems, 2021 | 177 | 2021 |
| A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks J Wu, Y Chua, M Zhang, G Li, H Li, KC Tan IEEE Transactions on Neural Networks and Learning Systems, 2021 | 170 | 2021 |
| A spiking neural network framework for robust sound classification J Wu, Y Chua, M Zhang, H Li, KC Tan Frontiers in neuroscience 12, 836, 2018 | 117 | 2018 |
| Progressive tandem learning for pattern recognition with deep spiking neural networks J Wu, C Xu, X Han, D Zhou, M Zhang, H Li, KC Tan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 115 | 2021 |
| Deep spiking neural networks for large vocabulary automatic speech recognition J Wu, E Yılmaz, M Zhang, H Li, KC Tan Frontiers in neuroscience 14, 199, 2020 | 110 | 2020 |
| Deep Spiking Neural Network with Spike Count based Learning Rule J Wu, Y Chua, M Zhang, Q Yang, G Li, H Li 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 72 | 2019 |
| A biologically plausible speech recognition framework based on spiking neural networks J Wu, Y Chua, H Li 2018 international joint conference on neural networks (IJCNN), 1-8, 2018 | 64 | 2018 |
| Supervised learning in spiking neural networks with synaptic delay-weight plasticity M Zhang, J Wu, A Belatreche, Z Pan, X Xie, Y Chua, G Li, H Qu, H Li Neurocomputing 409, 103-118, 2020 | 55 | 2020 |
| Neural population coding for effective temporal classification Z Pan, J Wu, M Zhang, H Li, Y Chua 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 49 | 2019 |
| Mpd-al: an efficient membrane potential driven aggregate-label learning algorithm for spiking neurons M Zhang, J Wu, Y Chua, X Luo, Z Pan, D Liu, H Li Proceedings of the AAAI conference on artificial intelligence 33 (01), 1327-1334, 2019 | 43 | 2019 |
| An Efficient and Perceptually Motivated Auditory Neural Encoding and Decoding Algorithm for Spiking Neural Networks Z Pan, Y Chua, J Wu, M Zhang, H Li, E Ambikairajah Frontiers in Neuroscience 13 (1662-453X), 1420, 2019 | 40 | 2019 |
| Training Spiking Neural Networks with Local Tandem Learning Q Yang, J Wu, M Zhang, Y Chua, X Wang, H Li NeurIPS22, 2022 | 30 | 2022 |
| Deep convolutional spiking neural networks for keyword spotting E Yılmaz, OB Gevrek, J Wu, Y Chen, X Meng, H Li Proceedings of INTERSPEECH, 2557-2561, 2020 | 29 | 2020 |
| An efficient threshold-driven aggregate-label learning algorithm for multimodal information processing M Zhang, X Luo, Y Chen, J Wu, A Belatreche, Z Pan, H Qu, H Li IEEE Journal of Selected Topics in Signal Processing 14 (3), 592-602, 2020 | 29 | 2020 |
| Evolutionary computation in the era of large language model: Survey and roadmap X Wu, S Wu, J Wu, L Feng, KC Tan arXiv preprint arXiv:2401.10034, 2024 | 24 | 2024 |
| Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech C Xu, W Rao, J Wu, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021 | 24 | 2021 |
| Multi-tone phase coding of interaural time difference for sound source localization with spiking neural networks Z Pan, M Zhang, J Wu, J Wang, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2656-2670, 2021 | 22 | 2021 |
| An event-based cochlear filter temporal encoding scheme for speech signals Z Pan, H Li, J Wu, Y Chua 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 21 | 2018 |
| Robust Sound Recognition: A Neuromorphic Approach J Wu, Z Pan, M Zhang, RK Das, Y Chua, H Li Proc. Interspeech 2019, 3667-3668, 2019 | 11 | 2019 |
| Multi-tones' phase coding (mtpc) of interaural time difference by spiking neural network Z Pan, M Zhang, J Wu, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021 | 8 | 2021 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, Singapore在 u.nus.edu 的电子邮件经过验证
