
MLBDBI 2026 Conference Review
The 8th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2026) was successfully held on October 24, 2026, in Hangzhou, China. The conference was hosted by Zhejiang University of Finance and Economics and organized by its School of Information Technology and Artificial Intelligence.
Bringing together more than 100 experts, scholars, young researchers, and industry professionals through both on-site and online participation, the conference provided an academic platform for exchanging research findings and discussing recent developments in machine learning, big data, and business intelligence.

Group Photo of MLBDBI 2026
The opening ceremony was chaired by Prof. Jian Lin, Deputy Dean of the School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics. Prof. Shuai Zhang, Dean of the School, delivered the opening address and extended a warm welcome to all participants. He introduced the School's development and its work in education and research, and highlighted the importance of interdisciplinary collaboration in advancing machine learning, big data, and artificial intelligence.

Opening Address by Prof. Shuai Zhang

Prof. Jian Lin Chairing the Conference
The keynote session featured four distinguished scholars who shared their latest research and insights on topics spanning evolutionary optimization, intelligent manufacturing, autonomous systems, and group decision-making.
Prof. Wenyin Gong, Deputy Dean of the School of Computer Science, China University of Geosciences (Wuhan), China, delivered a keynote speech entitled"Evolutionary Multi-Task Optimization", discussing approaches to evolutionary optimization for multi-task problems.

Prof. Debiao Li, Fuzhou University, China, presented"Feature-aware Robust Scheduling for High-mix PCBA Manufacturing", focusing on robust scheduling methods for complex manufacturing environments.

Assoc. Prof. Kaizhou Gao, Macau University of Science and Technology, China, gave a presentation entitled"Scheduling of Unmanned/Autonomous Systems Under Ocean and Maritime Scenarios: Learning Enabled Intelligent Optimizers", exploring learning-enabled optimization approaches for scheduling unmanned and autonomous systems in maritime scenarios.

Prof. Juanjuan Peng, Zhejiang University of Finance and Economics, China, presented"Group Consensus Decision-Making Method Based on Personality Traits and Granular Balls", sharing research on group consensus decision-making methods.

The oral presentation session provided a platform for young researchers to present their work and exchange ideas. Three presentations covered research topics in cultural tourism information analysis, rule conflict detection, and resource-efficient artificial intelligence.
Jincheng Shao, Zhejiang University of Finance and Economics, China, presented"Fine-Grained Detection of Ethnic Visual Elements in Regional Cultural Tourism Information".

Oral Presentation by Jincheng Shao
Zhuoyu Wu, Zhejiang University of Finance and Economics, China, presented"Evidence Contracts and Transactional Verification for Rule Conflict Detection".

Oral Presentation by Zhuoyu Wu
Hao Chen, University of Twente, the Netherlands, joined the session online and presented"Green AI: Quantization or Pruning for Resource-Efficient Vision Models".

Online Oral Presentation by Hao Chen
The conference concluded with a closing ceremony, bringing the day's academic exchanges to a successful conclusion. The event provided participants with opportunities to share research progress, exchange perspectives, and explore potential collaborations across related fields.
The organizers would like to express their sincere appreciation to all keynote speakers, presenters, participants, committee members, and volunteers for their contributions and support. Their involvement made MLBDBI 2026 a successful academic gathering. We look forward to meeting again at future editions of the conference.



