2026 4th Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2026)

MLANN 2026


  • URL: https://www.mlann.net/
  • Event Date: 2026-05-22 ~ 2026-05-24
  • Abstract Submission Date: 2026-05-10
  • Submission Date: 2026-05-10
  • Organizer: Shanghai Jiao Tong University
  • Location: Shanghai, China

Computer Graphics Computer Vision & Pattern Recognition Artificial Intelligence



*Important information:



Website: https://www.mlann.net/  



 



 



Venue: Shanghai, China



 



 



Conference Date: May 22-24, 2026  



 



 



 



 



 



*Conference Introduction:



 



 



2026 4th Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2026) will be held in Shanghai, China during May 22-24, 2026 along with 2026 4th Asia Conference on Computer Vision, Image Processing and Pattern Recognition (CVIPPR 2026). MLANN 2026 is the workshop of CVIPPR 2026.  CVIPPR 2026 is organized by School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University; Supported by Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University; Sponsored by IEEE, and The International Society for Applied Computing (ISAC).



 



 



 



 



 



*Publication and indexing:



 



 



All accepted papers will be included in the 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. Chenglin Liu, University of Chinese Academy of Sciences, China (IEEE Fellow)



Keynote Speaker II:



Prof. Jie Yang, Shanghai Jiao Tong University, China



Keynote Speaker III:



Prof. Linlin Shen, Shenzhen University, China



Keynote Speaker IV:



Prof. Zhenghao Shi, Xi'an University of Technology, China



 



*Call for papers:



Track 1: Machine Learning



Deep and Reinforcement 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



 



Track 2: Algorithms



Analysis of algorithms



Ant colony algorithm



Approximation algorithm



Combinatorial search



Competitive analysis



Computability theory



 



Track 3: Neural Networks



Computational Science and Engineering



Deep learning



Signal processing



Information extraction



Natural language reasoning



Pattern recognition



 



 



 



*Submission Methods:



 



 



1. Online Submission System: https://cmt3.research.microsoft.com/MLANN2026



 



 



2. Submission Email: mlann@applied-computing.net



 



 



3. Submission guidelines: https://www.mlann.net/submission.html



 



 



 



 



 



*Contact us:



 



 



Website: https://www.mlann.net/



 



 



Email: mlann@applied-computing.net



 



 



Tel: 13502461341(Wechat)



 



 



QQ: 2056773349