Jian-Hao Luo
Jian-Hao Luo
Consumer Cloud Service CBG, Huawei
在 lamda.nju.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
ThiNet: A filter level pruning method for deep neural network compression
JH Luo, J Wu, W Lin
IEEE International Conference on Computer Vision (ICCV), 5058-5066, 2017
10872017
Selective convolutional descriptor aggregation for fine-grained image retrieval
XS Wei, JH Luo, J Wu, ZH Zhou
IEEE Transactions on Image Processing 26 (6), 2868-2881, 2017
2722017
Thinet: pruning cnn filters for a thinner net
JH Luo, H Zhang, HY Zhou, CW Xie, J Wu, W Lin
IEEE transactions on pattern analysis and machine intelligence 41 (10), 2525 …, 2019
1102019
An entropy-based pruning method for cnn compression
JH Luo, J Wu
arXiv preprint arXiv:1706.05791, 2017
1022017
Autopruner: An end-to-end trainable filter pruning method for efficient deep model inference
JH Luo, J Wu
Pattern Recognition 107, 107461, 2020
702020
In defense of fully connected layers in visual representation transfer
CL Zhang, JH Luo, XS Wei, J Wu
Pacific Rim Conference on Multimedia, 807-817, 2017
452017
基于深度卷积特征的细粒度图像分类研究综述
罗建豪, 吴建鑫
自动化学报 43 (8), 1306-1318, 2017
332017
Neural network pruning with residual-connections and limited-data
JH Luo, J Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
212020
Resource-constrained deep learning: challenges and practices
J WU, BB GAO, XS WEI, JH LUO
SCIENTIA SINICA Informationis 48 (5), 501-510, 2018
32018
Image categorization with resource constraints: introduction, challenges and advances
JH Luo, W Zhou, J Wu
Frontiers of Computer Science 11 (1), 13-26, 2017
32017
Dense CNN learning with equivalent mappings
J Wu, CW Xie, JH Luo
arXiv preprint arXiv:1605.07251, 2016
22016
Learning Effective Binary Visual Representations with Deep Networks
J Wu, JH Luo
arXiv preprint arXiv:1803.03004, 2018
2018
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