From November 1 to 3, the 6th International Conference on Machine Learning, Big Data, and Business Intelligence (MLBDBI 2024) and the 50th-anniversary academic events of the School of Information Management and Artificial Intelligence were successfully held. Over 40 experts and scholars from relevant fields at home and abroad attended the conference. They are Qiu Jiangtao, professor of Southwestern University of Finance and Economics; Li Tong, professor of Shenzhen University; Mao Yuxin, professor of Zhejiang Gongshang University; Shao Weishi, professor of Nanjing Normal University; Shen Mouquan, professor of Nanjing Tech University; and others from Canada’s Concordia University, Australia’s Charles Darwin University, Indonesia’s Universitas Bunda Mulia, City University of Hong Kong, and Universite de technology sino-europeenne de Shanghai.
The conference was organized by the School of Information Management and Artificial Intelligence. Prof. Lin Jian, vice dean of the school, extended a warm welcome to the attending experts and scholars in the opening speech. He expressed his hope that the conference would provide a platform for in-depth discussion and exchange on the latest research findings, technological developments, and application prospects in the fields of machine learning, big data, and business intelligence. He also emphasized the importance of collectively advancing the research areas of machine learning and business intelligence through collaborative efforts.
Prof. Qiu Jiangtao, Prof. Li Tong, Prof. Mao Yuxin, Associated Prof. Shao Weishi, and Prof. Shen Mouquan respectively delivered keynote speeches titled “Research on Business Intelligence in the Era of Large Language Models: A Perspective from E-Commerce,” “Mortal Computation,” “Rethinking the Consumer Review Mining based on E-Commerce Platforms from the Perspective of LLM Fine-Turning,” “Learning-driven distributed flexible shop scheduling optimization,” and “Data based intelligent control of network systems.”
Wang Haosen and Shi Chenglong, doctoral candidates from Southeast University delivered oral presentations on “Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering” and “Knowledge-Guided Semantically Consistent Contrastive Learning for Sequential Recommendation” respectively.
The conference focused on the latest research progress and achievements in the fields of machine learning, big data, and business intelligence. Participants engaged in heated discussions on multiple topics, including the optimization of business intelligence technologies, artificial intelligence-driven decision-making, and scheduling optimization. The event fostered a strong academic atmosphere and achieved positive outcomes in academic exchange.
