| More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, M Pechenizkiy, D Mocanu, ... ICLR 2023, The Eleventh International Conference on Learning Representations …, 2022 | 221 | 2022 |
| Multi-objective meta learning F Ye, B Lin, Z Yue, P Guo, Q Xiao, Y Zhang NeurIPS 2021, 35th Annual Conference on Neural Information Processing …, 2021 | 53 | 2021 |
| Dynamic Sparse Network for Time Series Classification: Learning What to" see'' Q Xiao*, B Wu*, Y Zhang, S Liu, M Pechenizkiy, E Mocanu, DC Mocanu NeurIPS 2022, 36th Annual Conference on Neural Information Processing Systems, 2022 | 32 | 2022 |
| FF-CNN: an efficient deep neural network for mitosis detection in breast cancer histological images B Wu, T Kausar, Q Xiao, M Wang, W Wang, B Fan, D Sun MIUA 2017, 21st Annual Conference on Medical Image Understanding and …, 2017 | 24 | 2017 |
| Distant transfer learning via deep random walk Q Xiao, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10422 …, 2021 | 4 | 2021 |
| E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation B Wu*, Q Xiao*, S Liu, L Yin, M Pechenizkiy, DC Mocanu, M Van Keulen, ... NeurIPS 2024, arXiv preprint arXiv:2312.04727, 2024 | 3 | 2024 |
| Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces Q Xiao, Y Zhang, Q Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 2 | 2024 |
| Multi-scale deep neural network for mitosis detection in breast cancer histological images B Wu, B Fan, Q Xiao, T Kausar, W Wang Preprints, 2017 | 2 | 2017 |
| Are Sparse Neural Networks Better Hard Sample Learners? Q Xiao, B Wu, L Yin, CN Gadzinski, T Huang, M Pechenizkiy, DC Mocanu BMVC 2024, arXiv preprint arXiv:2409.09196, 2024 | 1 | 2024 |
| Nerva: a Truly Sparse Implementation of Neural Networks W Wesselink, B Grooten, Q Xiao, C de Campos, M Pechenizkiy arXiv preprint arXiv:2407.17437, 2024 | 1 | 2024 |
| Dynamic Data Pruning for Automatic Speech Recognition Q Xiao*, P Ma*, A Fernandez-Lopez, B Wu, L Yin, S Petridis, ... Interspeech 2024, arXiv preprint arXiv:2406.18373, 2024 | 1 | 2024 |
| MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization A Fernandez-Lopez, H Chen, P Ma, L Yin, Q Xiao, S Petridis, S Liu, ... Interspeech 2024, arXiv preprint arXiv:2406.17614, 2024 | 1 | 2024 |
| A two-handed gesture recognition technique on mobile devices based on improved DTW Algorithm X Han, J Xue, Q Zhang, Q Xiao, P Zhao ICCSP 2017, International Conference on Communications, Signal Processing …, 2017 | 1 | 2017 |
| Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness B Wu*, Q Xiao*, S Wang, N Strisciuglio, M Pechenizkiy, M van Keulen, ... ICLR 2025, arXiv preprint arXiv:2410.03030, 2025 | | 2025 |
| A Versatile Framework for Unsupervised Domain Adaptation based on Instance Weighting J Zhu, F Ye, Q Xiao, P Guo, Y Zhang, Q Yang IEEE Transactions on Image Processing, 2024 | | 2024 |
Boqian WuUniversity of Twente在 utwente.nl 的电子邮件经过验证