Author Affiliations and Contact Details¶
Jun Yu, University of Science and Technology of China, Hefei, China.
Email: harryjun@ustc.edu.cn
ORCID: https://orcid.org/0000-0002-3197-8103
Homepage: https://faculty.ustc.edu.cn/yujun_AI/zh_CN/index.htm
Contributors¶
Jun Yu
Jun Yu is an associate professor and Ph.D. supervisor in the Department of Automation at the University of Science and Technology of China, Ph.D., Huawei Most Valuable Instructor (MVI), and Huawei/MindSpore dual-certified developer evangelist. His research focuses on multimedia computing and intelligent robotics. He has led 40 research projects, including 5 National Natural Science Foundation of China projects, 1 National Aviation Science Fund project, 3 Chinese Association for Artificial Intelligence-Huawei Academic Fund projects, and 3 Huawei flagship research programs. He has led the development of a series of model suites that have entered Huawei computing product lines. He has published more than 200 academic papers and books, including more than 100 first-author or corresponding-author papers in IEEE/ACM top journals, CCF-A international conferences, and SCI Q1 journals.
As the first-ranked contributor, he has received the Wu Wenjun Science and Technology Award, the highest Chinese award in intelligent technology; 6 best paper awards at top international conferences (CVPR_PBVS/ICCV_MFR/ICME/FG); more than 100 championships in top international AI challenges (CVPR/ICCV/IJCAI/AAAI/MM/ECCV, etc.); the Anhui Provincial First Prize for AI Scientific and Technological Progress; excellent completion awards from the Chinese Association for Artificial Intelligence-Huawei MindSpore Academic Reward Fund (2 projects); NetEase's "Excellent Teacher" Award; the Huawei MindSpore "Excellent Advisor" Award; the Ministry of Education-Huawei "Intelligent Base" Outstanding Teacher Award; the Chinese Academy of Sciences Wang Kuancheng Talent Cultivation Award; and the University of Science and Technology of China Xingye Securities Education Award. As the second-ranked contributor, he has received the Anhui Provincial Natural Science Second Prize, the Anhui Provincial Teaching Achievement First Prize (5 projects), the Anhui Provincial Teaching Achievement Second Prize (1 project), and the Chinese Association of Higher Education "School-Enterprise Cooperation Double Hundred Plan" nomination award. He has been granted more than 20 patents as first inventor.
He has long served as an SPC member for multiple top international conferences (IJCAI/AAAI/CVPR/ICCV/ICML/NeurIPS/MM/ICLR, etc.) and is a member of the Huawei MindSpore Technical Committee. As the sole supervising instructor, he has guided students to win the World Robot Contest championship (2 times), the national first prize in the "Challenge Cup" science and technology competition special challenge (2 times), the Huawei Ascend AI Innovation Competition silver medal, and the Huawei MindSpore Outstanding Developer award (2 students).
He teaches undergraduate foundational courses including Data Structures and Algorithms, Introduction to Pattern Recognition, Introduction to Artificial Intelligence, and Digital Logic Circuits, as well as the graduate foundational course Computer Vision, with an average of 350 teaching hours per year. Four core AI courses have been selected for the Huawei Intelligent Base program. He has led 9 Ministry of Education-Huawei industry-university collaborative education and provincial quality engineering projects, including Computer Vision and Pattern Recognition. He has edited 8 textbooks, including Computer Vision and Pattern Recognition, Embedded Efficient Visual Perception: From Theory to Practice, and Multi-modal Human Modeling, Analysis and Synthesis, one of which received the Huawei ICT Excellent Textbook Award. He led the development of the Huawei MindSpore Face Suite (MindFace), now available at https://gitee.com/mindspore-lab/mindface, and was a core contributor to the Huawei MindSpore Optical Character Recognition Suite (MindOCR), now available at https://gitee.com/mindspore-lab/mindocr.
Changwen Chen
Changwen Chen is Chair Professor of Visual Computing and Interim Dean of the Faculty of Computer and Mathematical Sciences at The Hong Kong Polytechnic University. He previously served as Dean of Science and Engineering at The Chinese University of Hong Kong, Shenzhen, and Deputy Director at Peng Cheng Laboratory. Professor Chen has held editorial leadership roles as Editor-in-Chief of IEEE Transactions on Multimedia and IEEE Transactions on Circuits and Systems for Video Technology. His distinguished career has been recognized with the Alexander von Humboldt Award, the SUNY Chancellor's Award for Excellence in Scholarship, and the UIUC ECE Distinguished Alumni Award. He is an IEEE Fellow, SPIE Fellow, and member of Academia Europaea. With decades of experience in visual computing and multimedia systems, Professor Chen brings authoritative insight into the data engineering challenges addressed in this book.