| 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 | 112 | 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 | 38 | 2021 |
| 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 | 23 | 2017 |
| 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 | 14 | 2022 |
| Distant transfer learning via deep random walk Q Xiao, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10422 …, 2021 | 2 | 2021 |
| 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 |
| 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 |
| 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 | | 2024 |
| 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, ... arXiv preprint arXiv:2312.04727, 2023 | | 2023 |
