2026 3rd International Conference on Machine Learning and Neural Networks（MLNN 2026)

The Successful Conclusion of MLNN 2026

On April 11, 2026, the 2026 3rd International Conference on Machine Learning and Neural Networks successfully concluded in Haikou, China. Hosted by Sichuan Technology and Business University and Chengdu University of Technology, the conference has attracted distinguished experts and scholars from world-famous institutions worldwide. It builds a high-level academic exchange platform for the fields of machine learning and neural networks.

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The opening ceremony was presided over byProf. Mingzhe Liu, Vice Chairman of the Sichuan Artificial Intelligence Industry Association. Opening remarks were delivered byPeng Yan, Vice President of Sichuan Technology and Business University and General Chair of MLNN 2026, as well asZhiyu Ren, Vice Chairman and Secretary-General of the Sichuan Artificial Intelligence Industry Association.

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Keynote Speeches

Subsequently, keynote speeches were delivered by distinguished experts, including:

Prof. Qi Wu(Shanghai Jiao Tong University, China)

Prof. Yan Wang(Sichuan University, China)

Prof. Xu Gong(Southwest Jiaotong University, China)

Prof. Xiyuan Hu(Beijing University of Technology, China)

They shared cutting-edge insights on frontier topics including aerial intelligent body control, AI-powered precise radiotherapy, medical image trustworthy analysis, and deepfake detection.

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Discipline Construction Symposium

The discipline construction symposium brought together vice deans and academic leaders from top universities in Sichuan Province. They delivered in-depth sharing and discussions on frontier issues includingtalent training models, curriculum system innovation, teaching reform, research team building, and the integrated development of computer science, artificial intelligence, cybersecurity and quantum communication. The symposium effectively promoted exchanges on discipline construction and laid a solid foundation for future academic cooperation and collaborative education.

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Oral Presentations

During the oral presentation sessions, researchers from universities and institutions across China and overseas shared and discussed the latest findings in machine learning, neural networks, computer vision, information security and quantum cryptography. The successful event not only showcased the latest research achievements but also provided a valuable opportunity for the integration of industry, academia, and research.

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The successful organization of MLNN 2026 not only offered valuable academic exchange opportunities for global researchers and scholars in machine learning and neural networks, but also injected new momentum into the theoretical innovation and interdisciplinary application of intelligent computing technologies. We look forward to meeting you again at the upcomingMLNN conference.