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Qiao Xiao
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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 …, 2022
1782022
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
492021
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
Distant transfer learning via deep random walk
Q Xiao, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10422 …, 2021
32021
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
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
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
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
12024
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
12024
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
12017
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
BMVC 2024, arXiv preprint arXiv:2409.09196, 2024
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
2024
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