2026 2nd International Conference on Artificial Intelligence and Foundation Model (AIFM 2026) will be held from June 26-28 2026 in Urumqi, China. This conference is an important academic event in the global field of artificial intelligence, aiming to gather experts and scholars from academia, industry, and government agencies around the world to jointly explore the latest developments and future directions of artificial intelligence and its large-scale model technology.

In recent years, with the improvement of computing power and the development of big data technology, research on artificial intelligence and big models has become an important component of cutting-edge technology. From natural language processing to computer vision, from robot learning to autonomous driving, the application of large models is profoundly changing various industries. This conference will delve into the multidimensional applications of artificial intelligence, including the construction, training, and optimization of large-scale models, as well as practical implementation in specific industries, to promote effective integration between theory and application.

Explain what AIFM 2026 is.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

• Theoretical Foundations of Foundation Model Pre-training; Basic model framework; Model training and optimization; Distributed computing; High performance computing optimization; Data management and efficient access; Large model compilation optimization; Multimodal fusion; Reinforcement learning
• Foundation Model Applications Image classification and object detection; Image generation and editing; Multimodal understanding; Deep reasoning; Urban computing; Spatio-temporal data mining; Natural language processing; Visual language model
• Model Security and Large-scale Intelligence Adversarial attack and defense; Data security and privacy protection; Model inversion attack; Model stealing attack; Data extraction attack; Attack detection; Outlier detection; Agent training; Federated learning; Generative model security
• Embodied Intelligence and Robotics Intelligent robot; Visual tracking; Machine translation; Robot perception; Path planning; Task planning and intelligent control; Robot system

Committees

Program Committee

• Conference General Chairs

  Prof. Junlong Chen, South China University of Technology, China (IEEE Life Fellow、AAAS Fellow、IAPR Fellow)

  Prof. Xi Zhou, Xinjiang Technical Institute of Physics and Chenmistry, Chinese Academy of Sciences, China

  Prof. Xin Luo, Southwest University, China (IEEE/AAIA Fellow)

  Prof. Pengwei Hu, Xinjiang Technical Institute of Physics and Chenmistry, Chinese Academy of Sciences, China

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  Technical Program Committee Chairs

  Prof. Massimo Ficco, University of Salerno, Italy (H-index:32)

  Prof. Roberto Montemanni, University of Modena and Reggio Emilia, Italy (H-index:27)

  Prof. Danilo Pelusi, University of Teramo, Italy (H-index:25)

  Prof. Lei Wang, China University of Mining and Technology, China

  Prof. Zemin Liu, Zhejiang University, China

  ---

  Organizing Committee Chairs

  Prof. Lun Hu, Xinjiang Technical Institute of Physics and Chenmistry, Chinese Academy of Sciences, China

  Prof. Yu-An Huang, Northwestern Polytechnical University, China

  ---

  Publication Chairs

  Assoc. Prof. Zhian Huang, City University of Hong Kong (Dongguan), China

  Assoc. Prof. Azam Che Idris, Sunway University, Malaysia

  Assoc. Prof. Muhammed Basheer Jasser, Sunway University, Malaysia (H-index:17)

  Assoc. Prof. Selina Low Yeh Ching, Sunway University, Malaysia

  Assoc. Prof. Dalin Zhang, Aalborg University, Denmark

Publication

All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of AIFM 2026 will be published in ACM International Conference Proceedings Series, which will be archived in the ACM Digital Library, and indexed by EI Compendex, Scopus.

Contact

All questions about submissions should be emailed to

Tel: +86-18124944750 (WeChat)

E-Mail: icaifm@163.com