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2019年9月29日学术报告(熊昊一 资深研究员,百度研究院)
2019年09月27日15时 人评论

报告题目:Industrializing AI: An Ubiquitous Computing Approach

报告时间:2019年9月29日(周日)上午10:00

报告地点:送彩金500的网站大白菜B404会议室

报告人:熊昊一

报告人单位: 百度研究院大数据实验室

报告人简介: 

Dr. Haoyi Xiong is currently a Tech Lead and Senior Staff Research Scientist at Beijing Big Data Lab, Baidu Inc. Prior to his industrial research endeavor, he was a tenure-track Assistant Professor at Department of Computer Science, Missouri University of Science and Technology, Rolla Missouri, United States. Before joining Missouri S&T, he was a Research Associate at Department of Systems and Information Engineering, University of Virginia. He received his PhD in Computer Science from Telecom SudParis and Univeristy of Paris 6, MSc and BEng from Hong Kong University of Science and Technology and Huazhong University of Science and Technology respectively. His research interests lay on the intersection between smart cyber-physical systems, applied optimization algorithms, and optimal estimation/control. He published intensively in top computer science conference and journals, such as ICLR, UbiComp, RTSS, IJCAI, AAAI, PerCom, ICDM, and IEEE/ACM Transactions. He has funded, supervised and committed several PhD students and Postdocs, some of them have already secured faculty positions in leading United State universities and researcher positions in top AI companies.

报告摘要

Ubiquitous computing – a term coincided by Mark Weiser (1955—1999, known as chief scientist of Xerox PARC)—refers to the computing paradigm that is made to appear anytime and everywhere through intangible interactions between computer systems to the human and environments. Such interactions are believed as the ways to improve social good, including medical health, psychological well-beings, smart urban life, and so on. In this talk, I will review my past works on ubiquitous computing while giving a special emphasis on their algorithms.  Most of these algorithms were originally designed from intuitions, while having been proved with its optimality and (best/worst case) bounds. The ways that provable guarantees of algorithms secured the optimality, safety and criticality, including budget-feasibility, real-time responses, and spatial-temporal coverage, of the operations in ubiquitous computing systems would be discussed.

邀请人:刘娟 教授


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