| Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs Q Xu, M Zhang, Z Gu, G Pan Neurocomputing 328, 69-74, 2019 | 177 | 2019 |
| Darwin: A neuromorphic hardware co-processor based on spiking neural networks D Ma, J Shen, Z Gu, M Zhang, X Zhu, X Xu, Q Xu, Y Shen, G Pan Journal of systems architecture 77, 43-51, 2017 | 136 | 2017 |
| Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks. J Shen, D Ma, Z Gu, M Zhang, X Zhu, X Xu, Q Xu, Y Shen, G Pan Sci. China Inf. Sci. 59 (2), 1-5, 2016 | 93 | 2016 |
| Csnn: an augmented spiking based framework with perceptron-inception. Q Xu, Y Qi, H Yu, J Shen, H Tang, G Pan IJCAI 1646, 2018 | 64 | 2018 |
| Unsupervised aer object recognition based on multiscale spatio-temporal features and spiking neurons Q Liu, G Pan, H Ruan, D Xing, Q Xu, H Tang IEEE transactions on neural networks and learning systems 31 (12), 5300-5311, 2020 | 44 | 2020 |
| Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment Q Xu, J Peng, J Shen, H Tang, G Pan Neural Networks 121, 512-519, 2020 | 42 | 2020 |
| Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation X Ran, M Xu, L Mei, Q Xu, Q Liu Neural Networks 145, 199-208, 2022 | 41 | 2022 |
| Constructing deep spiking neural networks from artificial neural networks with knowledge distillation Q Xu, Y Li, J Shen, JK Liu, H Tang, G Pan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| Robust transcoding sensory information with neural spikes Q Xu, J Shen, X Ran, H Tang, G Pan, JK Liu IEEE Transactions on Neural Networks and Learning Systems 33 (5), 1935-1946, 2021 | 31 | 2021 |
| SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG D Zhou, J Wang, G Hu, J Zhang, F Li, R Yan, L Kettunen, Z Chang, Q Xu, ... Biomedical Signal Processing and Control 75, 103592, 2022 | 30 | 2022 |
| Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding Q Xu, Y Li, J Shen, P Zhang, JK Liu, H Tang, G Pan IEEE Transactions on Neural Networks and Learning Systems, 2023 | 26 | 2023 |
| SparseConnect: regularising CNNs on fully connected layers Q Xu, G Pan Electronics Letters 53 (18), 1246-1248, 2017 | 22 | 2017 |
| ESL-SNNs: An Evolutionary Structure Learning Strategy For Spiking Neural Networks Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang Proceedings of the AAAI Conference on Artificial Intelligence 37 (AAAI 23), 2023 | 21* | 2023 |
| LightSleepNet: A lightweight deep model for rapid sleep stage classification with spectrograms D Zhou, Q Xu, J Wang, J Zhang, G Hu, L Kettunen, Z Chang, F Cong 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 18 | 2021 |
| Alleviating class imbalance problem in automatic sleep stage classification D Zhou, Q Xu, J Wang, H Xu, L Kettunen, Z Chang, F Cong IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 14 | 2022 |
| Vision transformers for computational histopathology H Xu, Q Xu, F Cong, J Kang, C Han, Z Liu, A Madabhushi, C Lu IEEE Reviews in Biomedical Engineering, 2023 | 12 | 2023 |
| Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks Q Xu, Y Li, X Fang, J Shen, JK Liu, H Tang, G Pan arXiv preprint arXiv:2304.09500, 2023 | 11 | 2023 |
| Deep auto-encoder with neural response X Ran, J Zhang, Z Ye, H Wu, Q Xu, H Zhou, Q Liu arXiv preprint arXiv:2111.15309, 2021 | 5 | 2021 |
| JDAT: Joint-dimension-aware transformer with strong flexibility for EEG emotion recognition Z Wang, Z Zhou, H Shen, Q Xu, K Huang Authorea Preprints, 2021 | 5 | 2021 |
| Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture S Jin, H Xu, Y Dong, X Hao, F Qin, Q Xu, Y Zhu, F Cong International Journal of Imaging Systems and Technology, 2023 | 4 | 2023 |
