Workshop on Machine Learning Theory and Application (MLTA-2023)

Machine learning is about designing and analyzing algorithms, studying how computers can simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganizing existing knowledge structures to continuously improve their performance. It has been widely used in image recognition, speech recognition, natural language processing, recommendation system, classification, prediction and other fields. The main purpose of the Machine Learning Seminar is to exchange the latest results related to these research areas and to discuss their theory and applications in the fields of deep learning, neural networks and computer science. Original ideas and paper submissions are invited to share their latest advances in the field, as well as their application to solving real-world problems.

The topics including, but not limited to:

New architectures and algorithms for machine learning
Neural network theory analysis
Faster and more robust methods for learning of neural network k models
Deep neural network optimization and regularization technology
Deep learning for data analysis and prediction
Adversarial machine learning and its applications
Advances in fuzzy neural networks, spiking neural network, extreme learning machine and support vector machine.

Paper Submission

Prospective authors are invited to send full-length, 4-6 pages, including figures and references, to the workshop E-mail: qinweifan@xpu.edu.cn following the instructions for authors of DSCI 2023 (https://conf.mobinets.cn/dsci2023/submit)

Submission Deadline: 1 October 2023
Author Notification: 1 November 2023
Camera Ready Due: 28 November 2023
Registration Due: 28 November 2023
Conference Date: 28-30 December 2023

General Chairs


Qinwei Fan	School of Science, Xi’an Polytechnic University, Xi’an 710048, China	qinweifan@xpu.edu.cn
Xinshe Yang	Middlesex Univ, Sch Sci & Technol, Design Engn & Math, London, England	X.Yang@mdx.ac.uk

Program Committee Members


Jie Yang	School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China	yangjiee@dlut.edu.cn
Jian Wang	College of Science, China University of Petroleum (East China), Qingdao, 266580, China	wangjiannl@upc.edu.cn
Huisheng Zhang	Department of mathematics, Dalian Maritime University, Dalian 116026, China	hszhang@dlmu.edu.cn
Xiaolong Qin	Hangzhou Normal University, Hangzhou, 311121, China	qxlxajh@163.com
Yuchao Tang	Guangzhou University, Guangzhou, 510006, China	yctang@ncu.edu.cn
Dongpo Xu	School of Mathematics and Statistics, Northeast Normal University, Changchun, 130024, China	xudp100@nenu.edu.cn