2026 3rd Symposium on Big Data, Neural Networks, and Deep Learning （BDNNDL 2026) was successfully held in Xinjiang！

2026 3rd Symposium on Big Data, Neural Networks, and Deep Learning (BDNNDL 2026) successfully concluded on September 12, 2026, at Changji University in Xinjiang. The conference was organized by Changji University and co-organized by Xinjiang University and Shihezi University. It was co-organized by Xinjiang Agricultural Vocational Technical University, Kashgar University, IEEE Computational Intelligence Society Shandong Chapter, and the Intermedia Big Data Joint Laboratory of China University of Petroleum (East China).

As a significant academic event in the interdisciplinary fields of big data, neural networks, and deep learning, BDNNDL 2026 brought together experts, scholars, industry leaders, and researchers from universities and research institutions across the country. The symposium focused on cutting-edge topics such as multi-modal remote sensing, AI-driven agricultural applications, and federated learning, facilitating in-depth discussions on key areas like heterogeneous data representation, visual understanding, and human-AI collaboration. It served as a high-level and professional platform for academic exchange.

The opening ceremony of the conference was presided over by Sun Jie, Dean and Deputy Party Secretary of the School of Information Engineering at Changji University. On behalf of the organizers, Wei Bo, Member of the Standing Committee of the Party Committee and Vice President of Changji University, delivered the welcome speech.

Jie Sun, Dean and Deputy Party Secretary of the School of Information Engineering, Changji University

Bo Wei, Member of the Standing Committee of the Party Committee and Vice President, Changji University

The conference was honored to invite several renowned experts to deliver keynote reports, including:

Professor Yurong Qian, Xinjiang University

Speech Title: From Heterogeneous Representation to Collaborative Perception: Multi-source Data Fusion-Driven Intelligent Interpretation of Multi-modal Remote Sensing

Professor Pan Gao, Shihezi University

Speech Title: AI-Driven Multimodal Visual Understanding Methods for Agriculture

Professor Taihong Zhang, Xinjiang Agricultural University

Speech Title: Amplifying Human Capabilities through AI

Professor Danilo Pelusi, University of Teramo, Italy

Speech Title: Sparse Evolutionary Federated Learning: A Multi-Objective Swarm Optimization Approach

The conference specifically featured an oral presentation session, where scholars from institutions such as Xinjiang University, Harbin Engineering University, University of Teramo, University of the Philippines, Nanjing Audit University, Guizhou University, and North China University of Water Resources and Electric Power presented their latest research findings in cutting-edge fields like big data, neural networks, and deep learning through both online and on-site formats. The presentations covered theoretical innovations and technical practices, fostering active interaction and in-depth exchanges among participants.

Oral Presentation Session

To recognize and encourage outstanding academic contributions, the conference established awards for Outstanding Paper Award, Outstanding Oral Presentation Award, and Outstanding Poster Award, celebrating the excellent research achievements of the participating scholars.

The successful convening of BDNNDL 2026 is poised to significantly advance cross-disciplinary integration and innovative development in the fields of big data, neural networks, and deep learning. The in-depth exchanges and intellectual synergy among the participating experts will catalyze new frontier research directions and collaborative opportunities, injecting fresh momentum into building a smarter, more interconnected future society. Let us anticipate together how this feast of ideas will chart a new course for the development of global intelligent technology and usher in a promising tomorrow for data intelligence and deep learning.