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Jiaxing Wang
Jiaxing Wang
Chinese Academy of Sciences, Institute of Automation
在 nlpr.ia.ac.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
M-nas: Meta neural architecture search
J Wang, J Wu, H Bai, J Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6186-6193, 2020
282020
Revisiting parameter sharing for automatic neural channel number search
J Wang, H Bai, J Wu, X Shi, J Huang, I King, M Lyu, J Cheng
Advances in Neural Information Processing Systems 33, 5991-6002, 2020
282020
Dpnas: Neural architecture search for deep learning with differential privacy
A Cheng, J Wang, XS Zhang, Q Chen, P Wang, J Cheng
Proceedings of the AAAI conference on artificial intelligence 36 (6), 6358-6366, 2022
182022
Bayesian automatic model compression
J Wang, H Bai, J Wu, J Cheng
IEEE Journal of Selected Topics in Signal Processing 14 (4), 727-736, 2020
182020
RaFM: rank-aware factorization machines
X Chen, Y Zheng, J Wang, W Ma, J Huang
International Conference on Machine Learning, 1132-1140, 2019
132019
ECBC: Efficient convolution via blocked columnizing
T Zhao, Q Hu, X He, W Xu, J Wang, C Leng, J Cheng
IEEE Transactions on Neural Networks and Learning Systems, 2021
102021
DynaMS: Dyanmic margin selection for efficient deep learning
J Wang, Y Li, J Zhuo, X Shi, W Zhang, L Gong, T Tao, P Liu, Y Bao, W Yan
The Eleventh International Conference on Learning Representations, 2022
32022
Joint channel and weight pruning for model acceleration on moblie devices
T Zhao, XS Zhang, W Zhu, J Wang, S Yang, J Liu, J Cheng
arXiv preprint arXiv:2110.08013, 2021
12021
Architecture Aware Latency Constrained Sparse Neural Networks
T Zhao, Q Hu, X He, W Xu, J Wang, C Leng, J Cheng
arXiv preprint arXiv:2109.00170, 2021
12021
Multi-Granularity Pruning for Model Acceleration on Mobile Devices
T Zhao, XS Zhang, W Zhu, J Wang, JL Sen Yang, J Cheng
1*
Patch-Aware Sample Selection for Efficient Masked Image Modeling
Z Zhuge, J Wang, Y Li, Y Bao, P Wang, J Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17245 …, 2024
2024
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