no code implementations • 7 Dec 2023 • Yichen Zhou, Yang Yang, Tao Zhou, Yonggang Li
A multi-information variable is constructed to transform the system into a new state space, where it is found that the jerk dynamics of the turbine-generator cascaded system is a second-order differential equation.
1 code implementation • 31 Jan 2023 • Yuqi Chen, Xiangbin Zhu, Yonggang Li, Yingjian Li, Haojie Fang
Unsupervised domain adaptation uses source data from different distributions to solve the problem of classifying data from unlabeled target domains.
no code implementations • 25 Jan 2023 • Yonggang Li, Hao Zhang
In this paper, we propose a self-supervised twin network approach based on this a priori.
no code implementations • CVPR 2023 • Xuanyang Zhang, Yonggang Li, Xiangyu Zhang, Yongtao Wang, Jian Sun
Differentiable architecture search (DARTS) has significantly promoted the development of NAS techniques because of its high search efficiency and effectiveness but suffers from performance collapse.
Ranked #12 on Neural Architecture Search on NAS-Bench-201, CIFAR-10
no code implementations • 26 Oct 2021 • Yichen Zhou, Weidong Liu, Jing Ma, Xinghao Zhen, Yonggang Li
Further, to mitigate the impact of MMA, a defense strategy based on multi-index information active disturbance rejection control is proposed to improve the stability and anti-disturbance ability of the power system, which considers the impact factors of both mode damping and disturbance compensation.
1 code implementation • ECCV 2020 • Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang
In this paper, we propose Differentiable Automatic Data Augmentation (DADA) which dramatically reduces the cost.
Ranked #15 on Data Augmentation on ImageNet