1. Internet of things and big data analysis
Summary:
The Internet of things (IoT) provides applications of integration of ubiquitous networks through intelligent perception, recognition and pervasive computing. By applying the powerful technology of Cloud Computing, Machine Learning, Data Mining, Artificial Intelligence, the potential and hidden values of large-scale data can be extracted, analyzed and predicted to impact on a wide range of fields, such as Web data analysis, financial and economical informatics, bioinformatics, computer vision, e-commerce, etc.
Keywords:
Internet of things; Cloud Computing; Machine Learning; Data Mining; Artificial Intelligence
Chairs:
Xuesong Qiu, Beijing University of Posts and Telecommunications, China Xuesong Qiu received the Ph.D. degree from the Beijing University of Posts and Telecommunications in 2000. He is currently a Professor and the Ph.D. Supervisor. He has published more than 100 SCI/EI index papers. Aside this, He has received 13 national and provincial scientific and technical awards, including the national scientific and technical awards (second-class) twice.
Yang Yang, Beijing University of Posts and Telecommunications, China Yang Yang is currently an associate Professor and the master's Supervisor of Beijing University of Posts and Telecommunications. Her research interests include wireless networking, Internet of things, big data analysis and predicting, etc. She has published more than 30 SCI/EI index papers and 10 national patents. She presides over and participates in a series of key research projects supported by the National Natural Science Foundation, the National High-Tech Research and Development Program and National Science and Technology Pillar Program Project of China.
Yang Dong, Hong Kong Polytechnic University, China Yang Dong is currently an Assistant Professor in The Hong Kong Polytechnic University and Senior Consultant for APEC Port Service Network. His research interests include big data analysis and predicting in waterborne transport, maritime economics & finance, etc. He has published more than 20 SCI/EI index papers. He presides over a series of key research projects on logistics integration for a more sustainable exploitation of natural resources, including the projects supported by the United Nations project, APEC funded project etc.
2. Content-based multimedia analysis
Summary:
The goal of this special session is to bring forward recent advancements in content-based multimedia analysis. In addition to multimedia and social media search and retrieval, we wish to highlight related and equally important issues that build on content-based analysis, such as multimedia content management, user interaction and visualization, media analytics, etc.
Keywords:
Social network, Recommendation Systems, Social Big Data Mining, Knowledge Extraction, User Behavior
Chairs:
Jinpeng Chen, Beijing University of Posts and Telecommunications, China. Jinpeng Chen received the Ph.D. degree from Beihang University in 2016. He is now an assistant professor and the master’s supervisor of Beijing University of Posts and Telecommunications. His research interests include social network analysis, recommendation system, data mining methodologies, machine learning algorithm and information retrieval technique. He has published more than 20 SCI/EI index papers. In addition, he participates in a series of key research projects supported by the National Natural Science Foundation and National Key R&D Program of China.
Kaimin Wei, Jinan University, GuangZhou, China. Kaimin Wei is currently an associate professor and an assistant dean of the collage of information science and technology, Jinan University. He received the Ph.D. degree from Beihang University in 2014. His research interests include mobile computing, social network, cloud computing, internet of things and network security. He presides over and participates in a series of key research projects supported by the national natural science foundation, national key research and development plan, etc.
Zhenyu Wu, Nanjing University of Posts and Telecommunications, China Zhenyu Wu is the member of CCF. He received the Ph.D. degree from Beihang University in 2015. He has published more than 10 SCI/EI index papers. His research interests include social network mining, big data analysis, artificial intelligence, machine learning algorithms, etc. Currently, he presides over a research project supported by the National Natural Science Foundation.
3. Business intelligence and system integration application analysis
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