1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.NE2024
GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes
Zhaoning Shi, Meng Xiang, Zhaoyang Hai +2
Genetic algorithms have played an important role in engineering optimization. Traditional GAs treat each gene separately. However, biophysical studies of gene regulatory networks r…
cs.AI2023★ 1 cited
L2T-DLN: Learning to Teach with Dynamic Loss Network
Zhoyang Hai, Liyuan Pan, Xiabi Liu +2
With the concept of teaching being introduced to the machine learning community, a teacher model start using dynamic loss functions to teach the training of a student model. The dy…
cs.CV2023
LCCo: Lending CLIP to Co-Segmentation
Xin Duan, Yan Yang, Liyuan Pan +1
This paper studies co-segmenting the common semantic object in a set of images. Existing works either rely on carefully engineered networks to mine the implicit semantic informatio…