We are pleased to welcome you to 2026 18th International Conference on Machine Learning and Computing, which will be held in Nanjing, China during February 06-09, 2026. 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 2026 is Sponsored by Southeast University, and technical supported by Metropolitan State University of Denver, Southwest Jiaotong University, Harbin Engineering University, University of Strathclyde and University of Reading and so on.
2026年第18届机器学习与计算国际会议(ICMLC 2026)定于2026年2月06日-09日在中国南京举办。会议旨在为机器学习与计算研究领域的专家学者提供一个交流相关领域最新研究成果的平台。会议征稿主题包括自适应系统、神经网络与支持向量机、商业智能、混合动力和非线性系统、生物统计学等研究领域。此次会议由东南大学主办,网络空间安全学院承办。
会议秘书:葛老师
会议邮箱:icmlc@vip.126.com
Lei Xu, IEEE Fellow, Shanghai Jiao Tong University, China
Bo Qiu, University of Science and Technology Beijing, China
Xiaolin Huang, Shanghai Jiao Tong University, China
Jianqiang Li, Shenzhen University, China
Lin Huang, Metropolitan State University of Denver, USA
Derong Liu, IEEE Fellow, Southern University of Science and Technology, China
Shuanghua Yang, University of Reading, UK
Liying Zheng, Harbin Engineering University, China
Xun Gong, Southwest Jiaotong University, China
Mohand Tahar Kechadi, University College Dublin (UCD), Ireland
Bo Xu, Guangdong University of Finance and Economics, China
Dong Huang, South China Agricultural University, China
Cangqi Zhou, Nanjing University of Science and Technology, China
Lars Lundberg, Blekinge Institute of Technology, Sweden
Xiucai Ye, University of Tsukuba, Japan
Ka Chun WONG, City University of Hong Kong, China
Mahmoud Shafik, University of Derby, UK
Feng Jian, Nanjing University of Science and Technology, China
Jing Zhang, Southeast University, China
Ming Wu, Hohai University, China
Shuai Zhao, Sun Yat-sen University, China
Wenle Wang, Jiangxi Normal University, China
David Greenhalgh, University of Strathclyde, UK
Akinori Ito, Tohoku University, Japan
Cheng Siong Lee, Monash University, Australia
Yan Pang, Guangzhou University, China
Changdong Wang, Sun Yat-sen University, China
Zhihong Liu, National University of Defense Technology, China
Lei Chen, Shandong University, China
1.全文投稿(文章出版及作者报告)
2.摘要投稿(仅作者报告)
上传文章(PDF)到电子投稿系统: https://www.easychair.org/conferences/?conf=icmlc2026
如果疑问,请联系:icmlc@vip.126.com
详细信息请见----https://www.icmlc.org/submission.html
以下主题仅为部分参考, 更多未提及的相关主题论文同样可投稿至ICMLC2026:
Track 1:机器学习理论基础
计算学习理论
统计学习理论
PAC学习框架
VC维理论
Track 2:监督学习
线性回归
逻辑回归
决策树算法
支持向量机
Track 3:非监督学习
聚类分析
关联规则挖掘
主成分分析(降维技术)
Track 4:强化学习
Q学习算法
策略梯度方法
在机器人学和游戏AI中的应用
Track 5:深度学习
卷积神经网络(CNN)
循环神经网络(RNN)
Transformer架构
Track 6:机器学习的应用
计算机视觉
自然语言处理
生物信息学
商业智能与数据分析
Track 7:数据管理与处理
大数据处理技术
数据挖掘与知识发现
数据清洗与集成
Track 8:自然语言处理(NLP)
大语言模型(LLM)
多模态NLP(文本+视觉/音频)
低资源/领域特定NLP
Track 9:机器学习中的人机交互
用户友好的机器学习接口
人机协作系统
机器学习过程可视化
更多征稿主题请见: https://www.icmlc.org/topic.html