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Boqian Wu
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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
1092023
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
232017
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
142022
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
142018
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
22017
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
12023
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
12019
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
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
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