BiographyProfessor Yang Can is From Yiyang, Hunan, holds a Ph.D. in engineering and is a postdoctoral researcher. He is a graduate advisor, a member of the China Democratic League, and the vice-chairman of the Democratic League of Huagong. He is an Associate Professor and Xianshang Gang Professor at the School of Computer Science and Engineering, South China University of Technology (SCUT), Director of the Cloud Intelligent Service/Cloud Media Lab, and the founder of three major technologies: the Cross-Layer Neural Network Net95, the Best Adaptive Network Application Layer Multicast BANACAST, and the General Web Data Intelligence GWDI. Professor Yang participated in the development of China's first digital laser 3D scanner and the XY-20 trajectory planning system. He obtained his Bachelor's, Master's, and Ph.D. degrees in 1994, 1997, and 2002 from Huazhong University of Science and Technology (HUST), respectively, and completed his postdoctoral research in Computer Science and Technology at HUST from 2002 to 2004. In 2003, he was appointed as a graduate advisor at HUST. In 2005, he was appointed Associate Professor and graduate advisor at SCUT, and in 2012, he was promoted to Xianshang Gang Professor. Professor Yang was a visiting scholar at New York University (NYU) from 2013 to 2014. From 2017 to 2022, he served as a non-executive director and head of the Strategic Development Committee of New Media Co. (300770). His research and technology development primarily focus on multimedia, artificial intelligence, cloud computing, big data, and software engineering. He has led over 20 national and provincial-level research projects, as well as commissioned research and development projects from enterprises and institutions. Professor Yang has received the Second Prize of the National Radio and Television Administration's Science and Technology Innovation Award, the First and Second Prizes of the Guangdong Province Science and Technology Progress Award, and the Provincial-level Science and Technology Progress Award. He has also won the Chinese Postdoctoral Fund and the Excellent Paper Awards from the Guangdong Computer Society. He holds over 60 national patents, of which 35 have been granted, and 3 international PCT patents. Additionally, he has 11 software copyrights and has led the drafting of 7 international and domestic standards. He has published over 80 academic papers in prestigious journals and conferences, including IEEE Trans. on Information Forensics and Security, IEEE Trans. on Multimedia, IEEE Transactions on Biometrics, Behavior, and Identity Science, IEEE Transactions on Circuits and Systems for Video Technology, Chinese Journal of Electronics, Journal of Computer Science and Technology, ACM MMSys, and CVPR. He teaches courses such as Operating Systems, Software Engineering, Multimedia Communication Technology, Principles and Applications of Distributed Computing, and Network Media. Over 100 graduate students have been trained under his guidance, and his students have won multiple awards, including the Special Prize at the Guangdong Province Challenge Cup. Email: cscyang@scut.edu.cn WeChat: banacast Team Overview: The Cloud Intelligent Service Lab focuses on the research and development of core theories and key technologies for big data intelligence, cloud ecosystem service software, and large-scale multimedia communication network applications. Recent research directions include big data, artificial intelligence, recommendation systems, cloud engineering, P2P networks, coding, IPTV, and live video streaming. The lab is an interdisciplinary, internationally-oriented self-organizing research team initiated by core members of the former Multimedia and Graphics/Image Group (Prof. Hwang Kiang) at South China University of Technology. It is one of the top research teams in the Greater Bay Area, with a strong reputation in the academic community, consistently ranked on the China Scholars Network homepage. The lab has undertaken more than 20 national and provincial-level major projects, as well as international collaboration projects. It is a member of the national video encoding technology standards body and has an advanced in-house DevOps software R&D and operations management platform. The team includes one IEEE Fellow, five professors, and five associate professors, with over 300 graduate and undergraduate students. They have published over 300 academic papers in prestigious journals and international conferences, including IEEE Transactions, Journal of Computer Science and Technology, CVPR, and InfoCom. More than 85% of their graduates have gone on to work at global Fortune 500 companies such as Huawei, Tencent, Alibaba, ByteDance, State Grid, and Southern Power Grid. The team has won numerous awards, including the Guangdong Province Excellent Graduate Thesis Award, the National Radio and Television Administration Science and Technology Innovation Award, and multiple Best Paper awards at international conferences like InfoCom. They hold over 100 authorized invention patents and 30+ software copyrights. The lab has contributed to the formulation of five Chinese national standards, two IETF international standards, and has published three international academic monographs. The core technology of the Banacst Cloud Intelligent Adaptive Network Transmission developed by the lab has achieved international leading levels through national technical identification, with over 200 million visits and more than 20 million downloads. It once covered over 2,000 university campuses and was one of the most influential self-developed software in Chinese universities at the time. From 2010 to 2015, the lab developed and launched mobile multimedia live video service terminals and established related technical standards, marking the prototype system for today’s internet celebrity live streaming technology and playing a pioneering role in the development of personal video streaming services. The lab has also developed the next-generation non-programming SAAS cloud service platform GWDI since 2011, which is one of the earliest low-code platforms for web intelligent learning model construction and reasoning experimentation. This technology has become one of the undisputed directions of modern software engineering development and is widely used in domestic and international software system development. In terms of social service, the lab has provided high-quality technical services to organizations such as the Guangdong Provincial Government, State Grid, China Telecom, Guangdong Postal Service, Guangdong Provincial People's Hospital, Guangzhou TV Station, Guangzhou Technical Quality Supervision Bureau, Macau Polytechnic Institute, and others. It has also cooperated with Tsinghua University, Zhejiang University, the Institute of Automation of the Chinese Academy of Sciences, Shenzhen University, Guangdong University of Technology, Inspur, and Jinpeng in undertaking several national and provincial-level key research projects. Today, the Cloud Intelligent Service Lab continues to focus on the open ecosystem and passionately adheres to its original mission of exploring the future of science and serving social progress. The lab works hand-in-hand with industry elites to actively contribute to the development of big data-driven artificial intelligence in industries such as telecommunications, broadcasting, power, and finance by providing consulting and software system development services. EducationPostdoctoral 2002–2004, Huazhong University of Science and Technology (HUST), Computer Science and Technology Doctor 1998–2002, Huazhong University of Science and Technology (HUST), Electronic Science and Technology Master 1994–1997, Huazhong University of Science and Technology (HUST), Image Recognition and Artificial Intelligence Bachelor 1990–1994, Huazhong University of Science and Technology (HUST), Electronic Science and Technology Admission InformationWorkExperienceSocial PositionResearch AreasMultimedia Communication Software Engineering Cloud Computing and Big Data Engineering Pattern Recognition and Artificial Intelligence Courses TaughtOperating Systems Software Engineering Distributed Computing Systems Principles and Technologies of Multimedia Communication (Graduate Course) Research ProjectSelected Publications
AchievementsPatentHonorSoftware achievement |