| Prof. Junwei DuQingdao University of Science and Technology, China Junwei Du is Executive Vice Dean and Professor at the School of Data Science, Qingdao University of Science and Technology (QUST), where he also serves as a doctoral supervisor. He joined QUST in July 1997. He received his bachelor's degree in Computer Software from Shandong Mining Institute, his master's degree in Control Theory and Control Engineering from QUST, and his Ph.D. in Computer Software and Theory from Tongji University in 2009. From 2011 to 2012, he conducted postdoctoral research at Hisense Group in collaboration with Tongji University. He is a Distinguished Member of the China Computer Federation (CCF), Executive Committee Member of the CCF Software Engineering Technical Committee, Executive Committee Member of the Networked Services Technical Committee of the Chinese Association of Automation, Director of the Shandong Association for Artificial Intelligence and Deputy Director of its Higher Education Committee, Director of the Shandong Computer Federation, and Vice President of the Qingdao Association for Artificial Intelligence. He has led projects funded by the National Natural Science Foundation of China and the Shandong Provincial Natural Science Foundation. His research has been published in international conferences and journals such as ISSTA and Pattern Recognition. He proposed the Candidate-aware Graph Prompt Tuning (CGPT) recommendation model. His research interests include intelligent software engineering, graph neural networks, and recommendation algorithms. He has led industry-academia collaborative education projects under the Ministry of Education, designed the "Consistent Case-based Teaching" methodology, and served as chief editor for textbooks including A Coherent Project-based Training Textbook for Software Engineering Curricula. He has organized university-enterprise cooperation projects, led industry-academia-research exchanges in big data and AI with Shandong Telecom, and participated in the "China-Thailand Digital Intelligence Cloud Bridge" international talent exchange program. |
| Researcher Lei Yang IEEE Senior Member Zhengzhou University, China Lei Yang is a researcher and doctoral supervisor at Zhengzhou University, an IEEE Senior Member, and has been selected as a Science and Technology Innovation Talent in Colleges and Universities of Henan Province, a Youth Scientist of the Henan Provincial Science and Technology R&D Joint Fund, and an Excellent Master's Thesis Supervisor in Henan Province. He has been listed for two consecutive years (2024 and 2025) on the “Annual Scientific Influence Ranking” among the world’s top 2% scientists. He has long been engaged in research on robot visual perception and intelligent inspection. As first or corresponding author, he has published more than 50 high-level SCI journal papers in authoritative journals such as IEEE TITS, IEEE TIM, and IEEE TMRB, including two ESI highly cited papers. He has won three first-class awards for outstanding scientific and technological papers from the Henan Provincial Department of Education. Lei Yang has presided over six national and provincial-level projects, including General and Youth Projects funded by the National Natural Science Foundation of China. He serves as a member of the Intelligent Robotics Committee of the China Computer Federation and the Youth Working Committee of the Chinese Association of Automation. |
 | Amy Jiang IEEE SA Generative AI and Foundation Model Subcommittee Ms. Jiang Hui has more than 17 years working experience in standardization activities. She has worked in Standard Administration of China (SAC/TC328), ISO/TC195 and Siemens China. Now she is the standard director of Shanghai AI Lab which is the national AI research center. She has developed more than 50 national and international standards and has rich experience in standardization fields. She serves as the Chair of the IEEE SA Generative AI and Foundation Model Subcommittee, the Secretary of the IEEE SA Artificial Intelligence (A) Standards Committee, the Standard Director of Shanghai AI Lab, and the Secretary-General of the Augmented Reality Core Technology Industry Association (CARA). Additionally, she is a member of the National Standardization General Group for Artificial Intelligence. In her professional career, from 2015 to 2018 she worked at Siemens China, where she was responsible for all standardization management of Siemens' business operations. Prior to that, from 2012 to 2015, she served as the Chair of the International Standard Organization ISO/TC 195, and from 2010 to 2015, she held the role of Secretary-General of the National Standards Organization SAC/TC 328. She has also actively contributed to the development of IEEE standards, chairing several working groups responsible for key standards, including IEEE Std 2945-2023 on Face Recognition, IEEE Std 2048.101-2023 on Augmented Reality on Mobile Devices, as well as ongoing projects such as P3110 on Computer Vision, P3375 on Chips for Computer Vision, and P2048.121 on Digital Human. |
