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High-dimensional vector autoregressive time series modeling via tensor decomposition


Instructors/Speakers Prof. Guodong LI Associate Professor Department of Statistics & Actuarial Science University of Hong Kong Hong Kong Abstract The classical vector autoregressive model is a fundamental tool for multivariate time series analysis. However, it involves too many parameters when the number of time series and lag order are even moderately large. This paper proposes to rearrange the coefficient matrices of the model into a tensor form such that the parameter space can be restricted in three directions simultaneously [...]

Sift Sand for Gold: Towards Research Challenges in Big Video Data Computing


Instructors/Speakers Prof. Wenbo HE McMaster University Canada Abstract Nowadays, billions of videos are captured, hosted and shared in the cloud, and the world has stepped into a multimedia big data era. As an active and interdisciplinary research field, multimedia big data presents great challenges and opportunities for multimedia big data computing. A vast amount of research work has been done in image processing, targeting different aspects of big data analytics, such as the capture, storage, indexing, mining, and retrieval. [...]

Decellularized matrix composites for bone tissue regeneration


Instructors/Speakers Prof. Huaqiong LISchool of Biomedical EngineeringWenzhou Medical UniversityWengzhouChina Abstract Prof. Huaqiong LI is an Associate Professor at School of Biomedical Engineering of Wenzhou Medical University (WMU) and Principal Investigator at Wenzhou Institute, University of Chinese Academy of Science (Wenzhou Institute of Biomaterials and Engineering, WIBE). Before he joined WMU and WIBE in 2015, he worked in Singapore for two years after completing his PhD study in Nanyang Technological University. His current research interests are development of biomaterials using advanced [...]