Academician Ruili Wang: Telling China’s Library Story to the International Library Community
On September 29, 2025, an academic lecture themed “Decoding the Applications of Large Models in Frontier Research Areas” was jointly organized by the Office of Social Sciences of Nanchang University, the School of Public Policy and Administration, the Jiangxi Provincial Key Research Base for Philosophy and Social Sciences—the Research Center for Digital Literacy and Skills Enhancement—and the Jiangxi Provincial Key Laboratory of Humanities and Social Sciences—the National Security and Multimodal Semantic Forensics Laboratory. Academician Ruili Wang was invited to serve as the keynote speaker. Faculty members and students from the School of Public Policy and Administration attended the lecture.
The lecture began with an overview of the research team’s work on artificial intelligence and its applications in business and healthcare. Using video description and image fusion as illustrative examples, Academician Wang introduced how the team leverages large models for knowledge enhancement and multimodal data learning, applying these approaches to cutting-edge AI research. He further presented several recent advances, including the use of large models to overcome the limitations of knowledge graphs and the integration of entity recognition to guide multitask learning, demonstrating the broad potential of large-model technologies in frontier research areas.
In the final session, key faculty researchers and graduate student representatives from the School actively engaged in discussions with Academician Ruili Wang, sharing their reflections and insights inspired by the lecture. Academician Wang responded to their questions in detail, fostering an in-depth and productive exchange. Participants reported that they had greatly benefited from the lecture and expressed their sincere appreciation to Academician Wang, as well as their hope for further collaboration and communication in the future. The event concluded successfully amid warm applause from the audience.
Speaker Biography:
Professor Ruili Wang is a doctoral supervisor and a Fellow of the Academy of Engineering of New Zealand. He received his bachelor’s degree from Huazhong University of Science and Technology, his master’s degree from Northeastern University, and his Ph.D. from Dublin City University. He currently serves as Associate Dean for Research at the School of Mathematical and Computational Sciences, Massey University, New Zealand. His research spans a broad range of areas, including artificial intelligence, machine learning, computer vision, speech processing, and natural language processing. He has secured multiple major and key research grants at the national level in New Zealand. From 2021 to 2025, he was recognized among Stanford University’s “World’s Top 2% Scientists.” To date, he has published more than 290 papers, including over 190 journal articles, with an H-index of 46. Professor Wang also serves on the editorial boards of several SCI-indexed journals, including IEEE Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Computational Intelligence Magazine, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Knowledge and Information Systems (Springer), Applied Soft Computing (Elsevier), and Neurocomputing (Elsevier).