18th International Conference on Machine Learning and Computing(ICMLC 2026)

Publication

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

Accepted papers from ICMLC 2017-2024 have been included in the ACM Digital Library and indexed by Ei Compendex and Scopus successfully. Here are the details of past conference proceedings:

• 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

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

For more topics, please visit ICMLC Topics.

Call for Special Sessions

ICMLC 2026 is organizing special sessions. If you wish to submit your paper or have ideas for a special session, please contact us. For more information, visit Special Sessions.

Submission

1. Full Paper (publication and presentation)
2. Abstract (presentation only)

Please submit your paper via the Electronic Submission System. For inquiries, email us at icmlc@vip.126.com. More details about submission can be found at ICMLC Submission.

Contact

Ms. Doris Ge (Conference Secretary)
Email: icmlc@vip.126.com
Tel: +86-13709044746
(Working days: 10:00 am - 5:30 pm)