Prof. Zhongleng Zheng

Zhejiang Normal University

Zhonglong Zheng, Ph.D., Professor, and doctoral advisor. Dean of the School of Computer Science (School of Artificial Intelligence) at Zhejiang Normal University. He earned his Ph.D. from Shanghai Jiao Tong University in 2005 and has been a visiting scholar at Zhejiang University and the University of California. His research interests include machine learning, computer vision, intelligent networks, and blockchain. He has led multiple projects funded by the National Natural Science Foundation of China and has published numerous papers in IEEE/ACM journals and CCF A/B-level conferences.

Prof. Jie Yang

Shanghai Jiao Tong University

Jie Yang is a tenured professor in the Department of Automation at Shanghai Jiao Tong University, director of the Institute of Image Processing and Pattern Recognition, and the discipline leader of "Pattern Recognition and Intelligent Systems." His research areas include machine learning, pattern recognition, big data analysis, medical image analysis and 3D reconstruction, and computer vision. He has undertaken more than 30 national and provincial-level research projects. Seven of his achievements have won provincial or ministerial-level awards, and he holds over 40 authorized invention patents. He was selected for the Ministry of Education’s "Cross-Century Excellent Talent Training Program," Shanghai’s "Shuguang Outstanding Scholar" and "Shuguang Tracking Program." He serves as an editorial board member for six journals, including two SCI journals. He has published five monographs domestically and internationally and over 400 papers in academic journals and conferences worldwide, with more than 300 indexed by SCI, over 27,000 citations on Google Scholar, and an H-index of 85. He has served as the general chair, organizing committee chair, or session chair for more than 20 international conferences and has delivered invited talks at renowned international universities and conferences over 10 times. Four of the doctoral dissertations he supervised have won national outstanding doctoral dissertation awards. Among his doctoral students, two have received the National Science Fund for Distinguished Young Scholars, six have received the National "Four Youth" awards, and more than ten have been appointed as professors. Over ten of his trained doctoral graduates are serving as chief scientists or senior technical executives in enterprises.