Researchers’ Paper from Our University Wins the 2024 Best Paper Award of the International Journal Applied Soft Computing

　A paper co-authored by Li Pengzhi, a doctoral student at our university, and Professor Pei Yan, titled "A Comprehensive Survey on Design and Application of Autoencoder in Deep Learning," has been selected for the 2024 Applied Soft Computing Best Paper Award by the international journal Applied Soft Computing. This prestigious award recognizes the paper as one of the best among over 4,000 papers published in the journal between 2011 and 2024. Furthermore, the paper has also been selected as a Highly Cited Paper in the Essential Science Indicators of Web of Science. On this occasion, the editor-in-chief of Applied Soft Computing has provided the following comment regarding the award for this paper.

"The award refers to articles published in our journal in 2021-2024 and reflects the high impact and match with goals and scope of the journal of this publication. Autoencoder are an essential component of nearly each Deep Learning neural network architecture these days, and it became hard to get an overview of the various modifications and ways of exploitation proposed so far. The present article sheds light on this complex matter. It explains autoencoder principles, the development process, a taxonomy based on structure and principles, and applications. The publication is very timely, highly accessible for the journal's readership, and it attracted many researchers, as can be seen by number of citations as well as downloads. Congratulations on the selection, and thanks from all editors and the publisher to consider this journal as a place to publish your best research. We hope on this collaboration in the future as well."

PEI Yan Associate Professor

「A Comprehensive Survey on Design and Application of Autoencoder in Deep Learning」

Applied Soft Computing

Highly Cited Papers

Editor-in-Chief of Applied Soft Computing