Jiebo Luo - Biography#

Jiebo Luo is a Professor of Computer Science at the University of Rochester. He received BS degree and MS degree, both in Electrical Engineering, from the University of Science and Technology of China (USTC) in 1989 and 1992, respectively, and a PhD degree in Electrical Engineering from the University of Rochester in 1995. Prior to joining the faculty of the University of Rochester, he was a Senior Principal Scientist with the Kodak Research Laboratories where he conducted and led research and advanced development for over 15 years. His research interests include computer vision, natural language processing, machine learning, data mining, computational social science, and digital health. Dr. Luo has authored over 500 peer-reviewed journal and conference papers and holds over 90 granted US patents (with an h-index of 107 and a total citation of 38,000+). He was the recipient or co-recipient of the Best Student Paper Award (as the senior author) at the 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Multimedia Prize Paper Award, Best Industrial Related Paper Award at 2018 International Conference on Pattern Recognition (ICPR), and Best Long Paper Award at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). Dr. Luo is the recipient of the 2018 IEEE Region 1 Technological Innovation in Academic Award and 2021 ACM SIGMM Technical Achievement Award for Outstanding Technical Contributions to Multimedia Computing, Communications, and Applications.

Dr. Luo is active in the organizing or program committees of numerous technical conferences, including most notably General Co-Chair of the 2007 SPIE International Symposium on Visual Communication and Image Processing (VCIP), 2008 ACM International Conference on Content-based Image and Video Retrieval (CIVR), and 2018 ACM Multimedia Conference, Program Co-Chair of the 2010 ACM Multimedia Conference, 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 ACM International Conference on Multimedia Retrieval (ICMR), and 2017 IEEE International Conference on Image Processing (ICIP), as well as the founding chair of the CVPR Workshop on Semantic Learning Application in Multimedia (SLAM) (2006-2009) and the ACM SIGMM Workshop on Social Media (2009-2011). Dr. Luo currently serves as the Editor-in-Chief for the IEEE Transactions on Multimedia for the 2020-2022 term. He has also served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Big Data (TBD), ACM Transactions on Intelligent Systems and Technology (TIST), Pattern Recognition (PR), Machine Vision and Applications (MVAP), Knowledge and Information Systems (KAIS), and Journal of Electronic Imaging (JEI). He is a guest editor for numerous special issues, including “Image Understanding for Digital Photos” (PR, 2005), “Real-World Image Annotation and Retrieval” (TPAMI, 2008), “Event Analysis in Video” (TCSVT 2008), “Integration of Content and Context for Multimedia Management” (TMM, 2009), “Probabilistic Graphic Models in Computer Vision” (TPAMI, 2009), “Knowledge Discovery Over Community-Contributed Multimedia Data” (IEEE Multimedia Magazine, 2010), "Social Media as Sensors" (TMM, 2013), “Deep Learning for Multimedia” (TMM, 2015), “Video Analytics with Deep Learning” (Pattern Recognition, 2016), and “Learning with Fewer Labels” (TPAMI, 2022). He was the chair of the Rochester Chapter of the IEEE Signal Processing Society (2001), and a member of multiple IEEE Technical Committees (IMDSP, MLSP, MMSP) and conference steering committees (ACM CIVR/ICMR, IEEE ICME). He is a Kodak Distinguished Inventor, a winner of the 2004 Eastman Innovation Award, a Data Science CoE Distinguished Researcher with the Goergen Institute for Data Science, and a Board Member of the Greater Rochester Data Science Industry Consortium. Dr. Luo is a Fellow of ACM, AAAI, IEEE, IAPR, and SPIE.

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