15 citations · 49 across the 10 of their papers we have counts for
4 papers · 1 filter
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models
Wenli Yang, Guan Huang, Renjie Li +4
Convolutional neural network (CNN) models have seen advanced improvements in performance in various domains, but lack of interpretability is a major barrier to assurance and regula…
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Ruijun Li, Weihua Li, Yi Yang +3
Recently, diffusion models have been proven to perform remarkably well in text-to-image synthesis tasks in a number of studies, immediately presenting new study opportunities for i…
A Comprehensive Review on Deep Supervision: Theories and Applications
Renjie Li, Xinyi Wang, Guan Huang +7
Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network. This technique has been increasingl…
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks
Shiqing Wu, Weihua Li, Quan Bai
In recent years, many applications have deployed incentive mechanisms to promote users' attention and engagement. Most incentive mechanisms determine specific incentive values base…