Jiebo Luo


Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and professor of computer science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.

Biography

Luo was born in 1967 in Yunnan, China. He obtained his undergraduate degree and master's degree from University of Science and Technology of China, and PhD degree from University of Rochester, all in electrical engineering. Luo joined the Computer Science Department at University of Rochester in fall 2011 after over fifteen prolific years at Kodak Research Laboratories, where he last held the position of senior principal scientist.
Luo has been actively involved in numerous technical conferences, including serving as general co-chair of 2007 SPIE VCIP, 2008 ACM CIVR, 2018 ACM Multimedia and 2024 IEEE ICME, program co-chair of 2010 ACM Multimedia, 2012 IEEE CVPR, 2016 ACM ICMR and 2017 IEEE ICIP, as well as area chair or senior PC of CVPR, ICCV, ECCV, KDD, AAAI, IJCAI, ACM Multimedia, MICCAI, ICDM, ICWSM, ICPR, ICIP, ICME and ICASSP. He served as the editor-in-chief of the IEEE Transactions on Multimedia, and on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Big Data, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, Knowledge and Information Systems, Machine Vision and Applications, and Journal of Electronic Imaging. He was a guest editor for many special issues, including "Image Understanding for Digital Photos", "Real-World Image Annotation and Retrieval", "Event Analysis in Video", "Integration of Content and Context for Multimedia Management", "Probabilistic Graphic Models in Computer Vision", "Knowledge Discovery over Community-Contributed Multimedia Data", "Social Media", "Social Media as Sensors", "Deep Learning in Multimedia Computing", "Video Analytics with Deep Learning", "Learning with Fewer Labels in Computer Vision", and so on.

Selected works

Luo's broad research spans image processing, computer vision, natural language processing, machine learning, data mining, social media, computational social science, and digital health. He is a pioneer of contextual inference in semantic understanding of visual data and social multimedia data mining. He has published extensively in these fields with well over 600 peer-reviewed technical papers and over 90 US patents. His h-Index is 132. Some of his notable works are listed below and details can be seen on his website at University of Rochester.

Books

Articles

Patents

  • https://patents.justia.com/inventor/jiebo-luo

Awards and honors