We are pleased to welcome you to 2027 19th International Conference on Machine Learning and Computing, which will be held in Shenzhen, China during February 26-March 01, 2027. The International Conference on Machine Learning and Computing (ICMLC) is grand annual conference on machine learning algorithms, computational statistics, mathematical optimization, computer engineering, computer science and other related subject since 2009. It will provide opportunities for researchers in this field to share their ideas and reinforce collaboration. As such, the conference has achieved a remarkable number participants while also enable profuse exchanges among academic and industrial researchers over the years.

ICMLC 2027 is sponsored by Shenzhen Loop Area Institute, co-sponored by The Chinese University of Hong Kong, Shenzhen, and supported by Southwest Jiaotong University, Southeast University, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Sun Yat-sen University, South China Agricultural University, Sichuan University, South China University of Technology and so on.

Submission Guidelines

Any act of plagiarism is totally unacceptable academic misconduct and cannot be tolerated.

It is the responsibility of the author to check for plagiarism before submitting the paper to ICMLC 2027 Conference.

Submissions must not be concurrently under consideration for publication elsewhere.

In the first round of paper review, the submitted papers will be checked for plagiarism, including self-plagiarism. If any plagiarism is found, the paper will be rejected directly.

List of Topics

Papers are solicited on a broad range of topics, including (but not limited to):

Track 1: Theoretical Foundations of Machine Learning

Computational Learning Theory

Statistical Learning Theory

PAC Learning

VC Dimension

Track 2: Supervised Learning

Linear Regression

Logistic Regression

Decision Trees

Support Vector Machines

Track 3: Unsupervised Learning

Clustering Analysis

Association Rule Mining

Principal Component Analysis

Track 4: Reinforcement Learning

Q-Learning

Policy Gradient Methods

Applications in Robotics and Game AI

Track 5: Deep Learning

Convolutional Neural Networks

Recurrent Neural Networks

Transformer Architecture

Track 6: Applications of Machine Learning

Computer Vision

Natural Language Processing

Bioinformatics

Business Intelligence and Data Analytics

Track 7: Data Management and Processing

Big Data Processing

Data Mining and Knowledge Discovery

Data Cleaning and Integration

Track 8: Natural Language Processing (NLP)

Large Language Models (LLMs)

Multimodal NLP (Text+Vision/Audio)

Low-Resource/Domain-Specific NLP

Track 9: Human-Computer Interaction in Machine Learning

User-Friendly Machine Learning Interfaces

Human-Machine Collaboration

Visualization of Machine Learning Processes

Committees

Advisory Committee Chair

Lei Xu, IEEE Fellow, IAPR Fellow, Shanghai Jiao Tong University, China

Conference Chairs

Xiaoping Zhang, IEEE Fellow, Tsinghua University, China

Haizhou Li, IEEE Fellow, ISCA Fellow, The Chinese University of Hong Kong, Shenzhen, China

Lin Huang, Metropolitan State University of Denver, USA

Conference Co-chairs

Jianfeng Lu, Nanjing University of Science and Technology, China

Zechao Li, Nanjing University of Science and Technology, China

Shuanghua Yang, University of Reading, UK

Steering Committee Chairs

Qianmu Li, Nanjing University of Science and Technology, China

Liying Zheng, Harbin Engineering University, China

Xun Gong, Southwest Jiaotong University, China

Program Chairs

Cangqi Zhou, Nanjing University of Science and Technology, China

Shikui Tu, Shanghai Jiao Tong University, China

Bo Xu, Guangdong University of Finance and Economics, China

Dong Huang, South China Agricultural University, China

Program Co-chairs

Ran Shi, Nanjing University of Science and Technology, China

Shuai Zhao, Sun Yat-sen University, China

Dongyang Kuang, Sun Yat-sen University, China

Lars Lundberg, Blekinge Institute of Technology, Sweden

Zhihong Liu, National University of Defense Technology, China

Local Chairs

Junlong Zhou, Nanjing University of Science and Technology, China

Xuansong Li, Nanjing University of Science and Technology, China

Special Session Chairs

Jing Zhang, Southeast University, China

Yi Zhu, Yangzhou University, China

Yan Pang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Patrizia Savi, Politecnico di Torino，Italy

Jingpeng Li, South China University of Technology, China

Xiucai Ye, University of Tsukuba, Japan

Zaid Al-Huda, Chengdu University, China

Taha Rajeh, Chengdu University, China

Muhammad Hafeez Javed, Chengdu University, China

Yan Huang, South China University of Technology, China

Dawen Li, Sun Yat-sen University, China

Xi Zhang, Sun Yat-sen University, China

Regional Chair of United Kingdom

David Greenhalgh, University of Strathclyde, UK

Regional Chair of Japan

Akinori Ito, Tohoku University, Japan

Regional Chair of Australia

Cheng Siong Lee, Monash University, Australia

Publication

All peer-reviewed and presented papers from ICMLC 2027 will be published as post-proceedings in a volume of the Springer book series: Lecture Notes in Networks and Systems. The book series is now indexed by Ei Compendex, Scopus, INSPEC, etc. All books published in the series are submitted for consideration in Web of Science.

Contact

Ms. Doris Ge (Conference Secretary)
In charge of Paper Submission & Publication/Conference Registration & Participation
Email: icmlc@vip.126.com
Tel: +86-13709044746