2026 IEEE 5th Asia Conference on Algorithms, Computing and Machine Learning (CACML 2026)

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, 2026It 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:



Track 1: Algorithms



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