Today, I attended the EITCE 2021 conference, which was held in Xiamen, China from the 22nd to 24th October 2021. The conference was held virtually and I participated as an invited keynote speaker. In this blog post, I will talk about the confernce.
About the conference
This is the 5th International Conference on Electronic Information Technology and Computer Engineering (EITCE 2021). It is a conference focused on computer science, that has been held in different cities in China such as Xiamen, Shanghai and Zhuhai.
The proceedings are published by ACM, and all papers are indexed by EI Compendex.
The conference was well organized, in part by a company called GSRA, and professors from Jimei University and Shanghai University of Engineering Science.
The website of the EITCE conference is : http://eitce.org/
Schedule of the first day
On the first day, there was five keynote speeches followed by paper presentations.
The first keynote was by Prof. Sun-Yuan Kung from Princeton University (USA) and was about deep learning, and in particular neural architecture search (NAS). He discussed techniques to search for a good neural network architecture using reinforcement learning or other techniques.
The second keynote speaker was Prof. Dong Xu, from University of Missouri. It was about using graph neural networks for single cell analysis. This talk was more about bioinformatics, which is a bit far from what I do, but was interesting as an application of machine learning.
The third keynote speaker was Prof. Yuping Wang fromTulane University, USA. The talk was about Interpretable multimodal deep learning for brain imaging and genomics data fusion. A highlight of this talk was to say that interpretability is a challenge but is also very important for research on neural networks applied to real applications.
Then, there was my keynote (Prof. Philippe Fournier-Viger) about discovering interesting patterns in data using pattern mining algorithms.
The fifth keynote was by Prof. Yulong Bai.
That was an interesting conference, and I was happy to participate to it.
Philippe Fournier-Viger is a distinguished professor working in China and founder of the SPMF open source data mining software.