2025 年第二届计算，机器学习与数据科学国际会议 (CMLDS 2025) 
2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025)
会议地点：厦门，中国
时间: 2025年4月25日- 27日 
网址: http://www.cmlds.net/ 
邮箱: cmlds_conf@163.com  

●会议简介
2025 第二届计算，机器学习与数据科学国际会议（CMLDS 2025）将于 2025 年 4 月 25 日至 27 日在中国厦门举行。CMLDS 2025 将汇集顶尖的学术科学家、研究学者和研究人员，分享和交流他们在计算，机器学习与数据科学各方面的经验和研究成果。会议还将为研究人员、从业人员和教育工作者提供一个重要的跨学科论坛，介绍和讨论计算，机器学习与数据科学领域的最新创新、趋势、关注问题、遇到的实际挑战以及采用的解决方案。

●论文出版和检索
被录用的文章将被收录在CMLDS 2025会议论文集，由SPIE 出版，该论文集将收录在 SPIE 数字图书馆中并被Ei Compendex 和 Scopus 检索 (该出版社EI检索非常稳定)
*CMLDS 2024会议论文已经发表在ACM (ISBN: 979-8-4007-1639-3), 所有论文已在出版后1个月内被EI Compendex和Scopus检索!

●征文主题 
（主题包括但不限于这些,更多详细主题请见官网: http://www.cmlds.net/topics.html ）
计算机建模
云计算
网格计算
以人为本的计算
面向 5G 系统的机器学习
机器学习趋势
大数据技术
统计学习
数据融合
数据挖掘与可视化

● 演讲专家
Prof. Henry Leung (Fellow IEEE, Fellow SPIE), 卡尔加里大学，加拿大

Prof. Benjamin W. Wah (Fellow IEEE, Fellow ACM), 香港中文大学，香港

Prof. Yanan Sun, 四川大学，中国

Prof. Pascal LORENZ, 南锡大学，法国

● 提交论文
1. CMT线上投稿系统：https://cmt3.research.microsoft.com/CMLDS2025/ 
2. 直接将您的文章或摘要投到我们的会议邮箱，我们收到后会第一时间回复您。
投稿邮箱：cmlds_conf@163.com  
3.审稿流程：作者投稿 - 稿件收到确认（1个工作日）- 初审(1-3工作日) - 复审（5-10工作日）- 告知结果（接受/拒稿），越早投稿越早收到文章结果。

● 投稿说明
1. 本会议官方语言为英语，投稿者务必用英语撰写论文。
2. 稿件应为原创作品，未在国内外刊物上发表过, 不接受一稿多投。 作者可通过Crosscheck, Turnitin或其他查询系统查重，否则由文章重复率引起的被拒搞将由作者自行承担责任。涉嫌抄袭的论文将不被出版，且公布在会议主页。
3. 请根据格式模板文件编辑您的文章（http://www.cmlds.net/submission.html ）
4. 文章至少8页，不超过16页。学生作者或多篇投稿有优惠。
5. 只做报告不发表论文的作者只需提交摘要。

●联系方式
会议官网：http://www.cmlds.net/  
邮箱：cmlds_conf@163.com  
电话咨询：15001035132 （微信同号）
QQ咨询：1455341287（您将在第一时间得到回复，添加时请备注“CMLDS 2025”）

2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) -EI Compendex& Scopus
Location: Xiamen, China
Dates: April 25-27, 2025
Website: http://www.cmlds.net/ 
E-mail: cmlds_conf@163.com 
Conference Format: Online and Onsite

2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) will be held during April 25-27, 2025 in Xiamen, China. CMLDS 2025 is to bring together leading academic scientists, research scholars and researchers to share and exchange their experiences and research results about all aspects of Computing, Machine Learning and Data Science. It would also provide a premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of Computing, Machine Learning and Data Science.

Topics:
Computer Modeling
Cloud Computing
Grid Computing
Human-centred Computing
Machine learning for 5G system
Machine Learning Trends
Big Data Technologies
Statistical Learning
Data Fusion
Data Mining & Visualization
(For more topics: http://www.cmlds.net/topics.html )

Paper Publication and indexing:
After a rigorous reviewing process, accepted papers after proper registration and presentation will be published in the CMLDS 2025 conference proceedings by SPIE, which will be included in SPIE Digital Library and indexed by EI Compendex, Web of Science, Scopus, Inspec, Chemical Abstracts, The Harvard-Smithsonian/NASA Astrophysics Data System (ADS), and others.
*All papers included in CMLDS 2024 Conference Proceeding have already been published by ACM (ISBN: 979-8-4007-1639-3) and indexed by El and Scopus successfully!

CMLDS 2025 Speakers:
Prof. Henry Leung, Fellow IEEE, University of Calgary, Canada

Prof. Benjamin W. Wah, Fellow IEEE, The Chinese University of Hong Kong, Hong Kong

Prof. Yanan Sun, Sichuan University, China

Prof. Pascal LORENZ, University of Nancy, France

Paper Submission (Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/CMLDS2025/  
2. Email Submission: cmlds_conf@163.com 

You are also welcome to join us as:
As Presenter: If you want to share you latest research results by giving presentation without publish papers, please submit your abstract (300-400 words)
As Listener: You are also warmly welcomed to take part in CMLDS 2025 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of CMLDS 2025, we cordially invite experts and scholars join us as a reviewer.

Contact us:
Conference Secretary: Ms. Caroline Li
Email: cmlds_conf@163.com 
Tel: +852 95096877
Website: http://www.cmlds.net/