CACML 2026
Computer Networks & Wireless Communication Computer Security & Cryptography Computer Vision & Pattern Recognition Computing Systems Data Mining & Analysis Databases & Information Systems
*【Important information】:
Website: https://www.cacml.net/
Venue: Guangzhou, China
Conference Date: March 27-29, 2026
*【Conference Introduction】:
2026 IEEE 5th Asia Conference on Algorithms, Computing and Machine Learning (CACML 2026) will be held in Guangzhou, China during March 27-29, 2026. It is sponsored by IEEE, IEEE Guangzhou Section, Sun Yat-sen University; organized by School of Computer Science and Engineering, Sun Yat-sen University.
*【Publication and indexing】:
★All accepted papers will be included in CACML 2026 Conference Proceedings and published by IEEE. The proceedings will be archived in IEEE Xplore and indexed by EI Compendex, Scopus and CPCI (ISTP).
*【Conference Speakers】:
Keynote Speaker I
Prof. Li Qing, The Hong Kong Polytechnic University, Hong Kong (IEEE Fellow)
Keynote Speaker II
Prof. Qiu Daowen, Sun Yat-sen University, China (IEEE Senior Member)
Keynote Speaker III
Prof. Tao Lei, Shaanxi University of Science and Technology, China (Deputy Dean)
Keynote Speaker IV
Prof. Pietro S. Oliveto, Southern University of Science and Technology, China
*【Call for papers】:
Analysis of algorithms
Ant colony algorithm
Approximation algorithm
Combinatorial search
Data Mining and Big Data
Computability theory
Computational complexity theory
Embarrassingly parallel problem
Track 2: Computing
Artificial and Computational Intelligence
Evolutionary Computation
Big data-oriented computing
Cloud Computing
Cognitive computing
High-performance computing
Affective and Physiological Computing
Real-Time and Distributed Computing
Reflective computing
Track 3: Machine Learning
Deep Learning
Machine Learning for Network Slicing Optimization
Machine Learning for 5G system
Machine Learning for User Behavior Prediction
New Innovative Machine Learning Methods
Optimization of Machine Learning Methods
Performance Analysis of Machine Learning Algorithms
Experimental evaluations of machine learning
*【Submission Methods】:
1. Online Submission System: https://cmt3.research.microsoft.com/CACML2026
2. Submission Email: cacml@applied-computing.net
3. Submission guidelines: https://www.cacml.net/Submission%20Guidelines.html
*【Contact us】:
Website: https://www.cacml.net/
Email: cacml@applied-computing.net
Tel: +8613502461341 (Wechat)
QQ: 2056773349