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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
1812023
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
282022
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
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
152018
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
62023
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
6
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
22024
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
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
12024
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
12024
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
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, 2024
2024
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
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