Publication:
All accepted and presented papers will be published in the ICMLC 2026 Conference Proceedings.

Accepted papers in ICMLC 2017-2024 have been included in ACM Digital Library, indexed by Ei Compendex, and Scopus successfully.
● ICMLC 2024 Conference Proceedings (ISBN: 979-8-4007-0923-4) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2023 Conference Proceedings (ISBN: 978-1-4503-9841-1) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2022 Conference Proceedings (ISBN: 978-1-4503-9570-0) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2021 Conference Proceedings (ISBN: 978-1-4503-8931-0) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2020 Conference Proceedings (ISBN: 978-1-4503-7642-6) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2019 Conference Proceedings (ISBN: 978-1-4503-6600-7) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2018 Conference Proceedings (ISBN: 978-1-4503-6353-2) | ACM Digital Library | Ei Compendex & Scopus
● ICMLC 2017 Conference Proceedings (ISBN: 978-1-4503-4817-1) | ACM Digital Library | Ei Compendex & Scopus

Submission:
1. Full paper (publication and presentation)
2. Abstract (presentation only)
Please submit your paper by Electronic Submission System: https://www.easychair.org/conferences/?conf=icmlc2026
Send your enquiry to icmlc@vip.126.com
More details about submission, please visit at https://www.icmlc.org/submission.html

Call for papers:
Topics of interest for submission include, but are 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
More Topics, please visit at https://www.icmlc.org/topic.html

Call for special session:
ICMLC2026 would like to organize more special sessions. If you want to submit your paper or have any ideas about the special session, please contact us.
More info. about the special session, please visit at https://www.icmlc.org/ss.html

Conference Schedule:
February 6, 2026 | Conference Materials Collection & Welcome Reception
February 7, 2026 | Opening Remarks & Keynote Speeches & Invited Speeches & Parallel Sessions for Authors' Presentation
February 8, 2026 | Keynote Speeches & Invited Speeches & Parallel Sessions for Authors' Presentation
February 9, 2026 | Parallel Sessions for Authors' Presentations

Contact:
Ms. Doris Ge (Conference Secretary)
Email: icmlc@vip.126.com
Tel: +86-13709044746
WeChat No.: asr2020217 (Please note: ICMLC 2026)