Biography
I’m Yao Lu, a third-year Ph.D in Zhejiang University of Technology, China. My advisors are Xiaoniu Yang and Qi Xuan. My research interest are interpretable machine learning and efficient learning. I was graduated from Zhejiang University of Technology with a bachelor’s degree in electrical engineering and its automation on June, 2021. I am always open for academic collaboration. You can contact me through email yaolu.zjut@gmail.com.
Latest News
07/2022: One paper accepted by ECCV 2022
02/2023: One paper accepted by ICASSP 2023
05/2023: One papar accepted by TNNLS 2023
10/2024: One papar accepted by Neurocomputing 2024
Experience
Research Intern in IS2 Lab @ Zhejiang University, supervised by Jingyi Wang.
Selected Publications
Conference
Understanding the Dynamics of DNNs Using Graph Modularity
Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang
European Conference on Computer Vision (ECCV), 2022
arXiv code poster
SR-init: An Interpretable Layer Pruning Method
Hui Tang*, Yao Lu*, Qi Xuan
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, Oral
arXiv code
Journal
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen*, Jingyang Xiang*, Yao Lu, Qi Xuan, Zhen Wang, Guanrong Chen, Xiaoniu Yang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Early Assess code
Revisit Similarity of Neural Network Representations From Graph Perspective
Zuohui Chen*, Yao Lu*, JinXuan Hu, Wen Yang, Qi Xuan, Zhen Wang, Xiaoniu Yang
Qi Xuan, Zhen Wang, 2024
Early Assess code
Arxiv
Academic Service
Reviewer of ICLR2025
Honors & Awards
On behalf of all graduate students, I delivered a speech at the school opening ceremony.