87 citations · 87 across the 6 of their papers we have counts for
6 papers
HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models
Yu Xue, Haoxuan Qu, Zhuoling Li +5
Training-free text-to-high-resolution image generation has recently attracted growing research attention. However, existing studies on this task primarily focus on adapting off-the…
A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
Yu Xue, Pengcheng Jiang, Chenchen Zhu +4
Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network arch…
Partial Connection Based on Channel Attention for Differentiable Neural Architecture Search
Yu Xue, Jiafeng Qin
Differentiable neural architecture search (DARTS), as a gradient-guided search method, greatly reduces the cost of computation and speeds up the search. In DARTS, the architecture…
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
Yu Xue, Ziming Yuan
The attention mechanism is one of the most important priori knowledge to enhance convolutional neural networks. Most attention mechanisms are bound to the convolutional layer and u…
A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick
Yu Xue, Ziming Yuan, Adam Slowik
With the development of automatic sleep stage classification (ASSC) techniques, many classical methods such as k-means, decision tree, and SVM have been used in automatic sleep sta…
ConAM: Confidence Attention Module for Convolutional Neural Networks
Yu Xue, Ziming Yuan, Ferrante Neri
The so-called "attention" is an efficient mechanism to improve the performance of convolutional neural networks. It uses contextual information to recalibrate the input to strength…