关注
Yao Lu
标题
引用次数
引用次数
年份
Rgp: Neural network pruning through regular graph with edges swapping
Z Chen, J Xiang, Y Lu, Q Xuan, Z Wang, G Chen, X Yang
IEEE Transactions on Neural Networks and Learning Systems, 2023
152023
Understanding the dynamics of dnns using graph modularity
Y Lu, W Yang, Y Zhang, Z Chen, J Chen, Q Xuan, Z Wang, X Yang
European Conference on Computer Vision, 225-242, 2022
62022
Sr-init: An interpretable layer pruning method
H Tang, Y Lu, Q Xuan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
Can pre-trained models assist in dataset distillation?
Y Lu, X Chen, Y Zhang, J Gu, T Zhang, Y Zhang, X Yang, Q Xuan, K Wang, ...
arXiv preprint arXiv:2310.03295, 2023
42023
Graph-based similarity of neural network representations
Z Chen, Y Lu, J Hu, W Yang, Q Xuan, Z Wang, X Yang
arXiv preprint arXiv:2111.11165, 2021
32021
Adversarial sample detection via channel pruning
Z Chen, RX Wang, Y Lu, Q Xuan
ICML workshop, 2021
32021
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Y Lu, Y Zhu, Y Li, D Xu, Y Lin, Q Xuan, X Yang
arXiv preprint arXiv:2406.07929, 2024
2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Z Wang, T Jiang, Y Lu, X Bao, S Yu, B Wei, Q Xuan
arXiv preprint arXiv:2405.15544, 2024
2024
Side Channel Based Substitute Adversarial Attack on Deep Learning Models
Z Chen, J Hu, Y Lu, D Zhang, Y Xiang, Q Xuan
2024
Exploring the Impact of Dataset Bias on Dataset Distillation
Y Lu, J Gu, X Chen, S Vahidian, Q Xuan
CVPR workshop, 7656-7663, 2024
2024
How Does Contrastive Learning Organize Images?
Y Zhang, Y Lu, Q Xuan
WACV workshop, 497-506, 2024
2024
RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets
Y Lu, Y Huang, J Nie, Z Chen, Q Xuan
2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023
2023
系统目前无法执行此操作,请稍后再试。
文章 1–12