883 citations · 2.2k across the 58 of their papers we have counts for
9 papers · 1 filter
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
Ying Bi, Bing Xue, Mengjie Zhang
Using evolutionary computation algorithms to solve multiple tasks with knowledge sharing is a promising approach. Image feature learning can be considered as a multitask problem be…
Evolving Character-level Convolutional Neural Networks for Text Classification
Trevor Londt, Xiaoying Gao, Bing Xue +1
Character-level convolutional neural networks (char-CNN) require no knowledge of the semantic or syntactic structure of the language they classify. This property simplifies its imp…
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
Yuqiao Liu, Yanan Sun, Bing Xue +1
Hyperspectral images (HSIs) are susceptible to various noise factors leading to the loss of information, and the noise restricts the subsequent HSIs object detection and classifica…
A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu, Yanan Sun, Bing Xue +3
Deep Neural Networks (DNNs) have achieved great success in many applications. The architectures of DNNs play a crucial role in their performance, which is usually manually designed…
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
Bin Wang, Bing Xue, Mengjie Zhang
Deep convolutional neural networks have demonstrated promising performance on image classification tasks, but the manual design process becomes more and more complex due to the fas…
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang
A common claim of evolutionary computation methods is that they can achieve good results without the need for human intervention. However, one criticism of this is that there are s…