| 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 …, 2023 | 156 | 2023 |
| 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 | 24 | 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 | 23 | 2017 |
| Multi-scale deep neural network for mitosis detection in histological images T Kausar, MJ Wang, B Wu, M Idrees, B Kanwal ICIIBMS 2018, International Conference on Intelligent Informatics and …, 2018 | 15 | 2018 |
| More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. arXiv S Liu, Y Chen, X Chen, X Chen, Q Xiao, B Wu, T Kärkkäinen, ... arXiv preprint arXiv:2207.03620 10, 2023 | 5 | 2023 |
| More convnets in the 2020s: Scaling up kernels beyond 51× 51 using sparsity. arXiv 2022 S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, M Pechenizkiy, D Mocanu, ... arXiv preprint arXiv:2207.03620, 0 | 5 | |
| 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 | 2 | 2023 |
| 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 |
| Robust online portfolio optimization with cash flows B Lyu, B Wu, S Guo, JW Gu, WK Ching Omega The International Journal of Management Science, 103169, 2024 | 1 | 2024 |
| Dynamic data pruning for automatic speech recognition Q Xiao, P Ma, A Fernandez-Lopez, B Wu, L Yin, S Petridis, M Pechenizkiy, ... arXiv preprint arXiv:2406.18373, 2024 | 1 | 2024 |
| Weighted Multivariate Mean Reversion for Online Portfolio Selection B Wu, B Lyu, J Gu ECMLPKDD 2023, Joint European Conference on Machine Learning and Knowledge …, 2023 | 1 | 2023 |
| Long-Term Target Tracking for UAV Based on Correlation Filter Q Xiao, Q Zhang, B Wu, X Han, X Wu ICCSP 2017, International Conference on Communications, Signal Processing …, 2019 | 1 | 2019 |
| 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, ... arXiv preprint arXiv:2410.03030, 2024 | | 2024 |
| Are Sparse Neural Networks Better Hard Sample Learners? Q Xiao, B Wu, L Yin, CN Gadzinski, T Huang, M Pechenizkiy, DC Mocanu arXiv preprint arXiv:2409.09196, 2024 | | 2024 |
| Insights into Dynamic Sparse Training: Theory Meets Practice B Wu, M van Keulen, DC Mocanu, E Mocanu European Conference on Machine Learning and Principles and Practice of …, 2024 | | 2024 |
| 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 ICLR 2023 Workshop on Sparsity in Neural Networks, 2023 | | 2023 |
| Can Less Yield More? Insights into Truly Sparse Training Q Xiao, B Wu, L Yin, M van Keulen, M Pechenizkiy ICLR 2023 Workshop on Sparsity in Neural Networks, 2023 | | 2023 |
| Edge-LLMs: Edge-Device Large Language Model Competition S Liu, K Han, A Fernandez-Lopez, AK JAISWAL, Z Atashgahi, B Wu, ... NeurIPS 2024 Competition Track, 0 | | |
Qiao XiaoEindhoven University of TechnologyVerified email at tue.nl
