026 IEEE 5th Asia Conference on Algorithms, Computing and Machine Learning

Memo

*【Important information】: Website: https://www.cacml.net/ Venue: Guangzhou, China Conference Date: March 27-29, 2026   *【Conference Introduction】: CACML 2026 has been officially listed on IEEE Conference List: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/68972   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】: 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   *【Contact us】: Website: https://www.cacml.net/ Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Tel: +8619382234810(Wechat) QQ: 2056773349