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 | 197 | 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 | 183 | 2021 |
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 | 138 | 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 | 135 | 2020 |
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 | 133 | 2018 |
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 | 75 | 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 | 69 | 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 | 62 | 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 | 60 | 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 | 47 | 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 | 45 | 2019 |
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 | 43 | 2024 |
Training Spiking Neural Networks with Local Tandem Learning Q Yang, J Wu, M Zhang, Y Chua, X Wang, H Li NeurIPS22, 2022 | 38 | 2022 |
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 | 32 | 2021 |
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 | 32 | 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 | 32 | 2020 |
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 | 31 | 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 |
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks X Chen, Q Yang, J Wu, H Li, KC Tan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 18 | 2023 |
Event-driven learning for spiking neural networks W Wei, M Zhang, J Zhang, A Belatreche, J Wu, Z Xu, X Qiu, H Chen, ... arXiv preprint arXiv:2403.00270, 2024 | 14 | 2024 |