Huazhong University of Science and Technology (HUST) and Hong Kong Baptist University (HKBU) co-hosted the Computer and Artificial Intelligence Interdisciplinary Forum on the afternoon of March 5, 2024. The forum was held in the multifunctional hall on the second floor of Building VIII at HUST. Eight scholars from the Department of Computer Science at HKBU, the School of Computer Science and Technology, and the School of Artificial Intelligence and Automation at HUST delivered fascinating academic presentations to over 100 faculty members and students. Distinguished guests, including Professor Xinge You from the School of Electronic Information and Communication, Professor Danhua Cao from the School of Optics and Electronic Information, and Professor Weidong Li, Associate Professor Han Xu, and Associate Professor Ran Wang from the School of Journalism and Communication, were present. The forum was chaired by Professor Long Zheng from the School of Computer Science and Technology. Mr. Weili Zhou, Vice President of Hong Kong Baptist University, Mr. Jingbo Sheng, Deputy Director of Hong Kong, Macao, and Taiwan Affairs Office, and Mr. Hui Yi, Secretary of the Party Committee of the School of Computer Science and Technology, attended the forum.
Mr. Weili Zhou, Vice President of HKBU, delivered the opening speech, briefly introducing HKBU and expressing his delight in co-hosting this interdisciplinary forum with HUST. He hoped the forum would benefit more faculty members and students through academic exchanges, inspiring innovative ideas in humanities, culture, and computer science, and promoting multi-directional communication, contemplation, and learning. He emphasized the desire for continuous collaboration between the two universities to drive the integration and development of computer science and other disciplines.
The forum focused on two main themes: artificial intelligence and big data. Four experts and scholars, Mr. Xiaoming Zhang, Mr. Changxin Gao, Mr. Kun He, and Mr. Jie Chen, delivered their presentations in the fake intelligence session.
Professor Xiaoming Zhang, Chair Professor of Artificial Intelligence at HKBU, Director of the HKBU Shenzhen Research Institute, and Deputy Director of the HKBU Institute of Computational and Theoretical Sciences, gave a presentation titled "Imbalanced Data Learning for Anomaly Detection and Visual Recognition." In his presentation, he introduced the concepts of imbalanced data learning, from Class Imbalanced Learning to Long-Tailed Data Learning, and discussed the latest progress made by his team.
Professor Changxin Gao from the School of Artificial Intelligence and Automation at HUST delivered a presentation on "Computational Photography and Video Generation." He introduced his research group's work on the noise model in low-light conditions, the real-time high-performance image color mapping scheme using LLF-LUT, and three efficient video generation approaches. These findings effectively address the current challenges in computational photography and video generation.
Professor Kun He from the School of Computer Science and Technology at HUST presented on "Transferability of the Adversarial Attacks." He introduced various methods to improve the transferability of adversarial samples, including NIM and VT based on optimization, SIM and Admix based on input transformation, and the SVRE method for enhancing integrated attack transferability.
Assistant Professor Jie Chen from the Department of Computer Science at HKBU gave a lecture titled "AI for Virtual Production and Performing Arts." She showcased the remarkable progress of artificial intelligence in creative content generation and its increasingly strong capabilities in scene understanding and correlations. Against this backdrop, she introduced the application of artificial intelligence in virtual production and performing arts at HKBU, particularly in virtual character appearance and behavior programming, as well as immersive and interactive visual narratives.
After the presentation sessions, a roundtable discussion on "Research Suggestions on Large Model Security and Alignment" was moderated by Professor Long Zheng. The scholars discussed and exchanged ideas on the forgery, security, and privacy issues arising from the development of large model generation techniques, their impact on research fields and directions, and the challenges and opportunities that come with them. The future development direction in the field of large models was also discussed.
The subsequent forum session focused on the big data theme, with presentations by scholars Yang Xiao, Xin Huang, Yu Zhang, and Bolong Zheng.
Professor Yang Xiao from the School of Artificial Intelligence and Automation at HUST presented the problem of real-time blink detection under unconstrained conditions, where effective real-time blink detection technology has a wide range of applications in healthcare, security, and fatigue detection. The presentation introduces the research efforts made by his team in real-time blink detection under unconstrained conditions from the perspectives of data-set, theory, and practice.
Associate Professor Xin Huang of the Department of Computer Science at HKBU gave a presentation on the topic of compact subgraph querying techniques and applications on large graph data, introducing the related efficient querying methods and sharing their practical application scenarios for compact subgraph querying on large graph data.
Professor Yu Zhang from the School of Computer Science and Technology at HUST presented the research on high-performance dynamic graph computing technology. He mentioned that graph computing is essential for analyzing relationships between entities and is a crucial foundation for artificial intelligence and extensive data analysis. The presentation highlighted his team's latest research progress in high-performance dynamic graph computing.
Professor Bolong Zheng from the School of Computer Science and Technology at HUST discussed the topic of "Large-Scale Vector Search Technology: Trends and Challenges." He reviewed the basic concepts and mainstream methods of large-scale vector search technology, introduced the latest advances in vector search technology in recent years, and explored its future development trends and challenges.
Following the presentation sessions, Professor Long Zheng moderated a roundtable discussion on the topic of "Prospects for Big Data Research in the Era of Large Models." The scholars engaged in discussions and exchanges on methods for generating AI image and video details and detecting fake images.
This forum focuses on hot research directions, such as graph algorithms and big models in big data and artificial intelligence. It facilitated academic exchanges between first-class scholars and students, encouraged theoretical research and academic innovation among faculty and students, broadened their international vision, and laid a solid foundation for deep collaboration between the two universities.
