Jiebo Luo (; born 1967) is a Chinese-American computer scientist and the Albert Arendt Hopeman Professor of Engineering and professor of computer science at the University of Rochester. His research covers computer vision, machine learning, and the analysis of multimedia and social media data.
He received the IEEE Computer Society's Edward J. McCluskey Technical Achievement Award in 2025 and the ACM SIGMM Technical Achievement Award in 2021.
He is a fellow of AIMBE, NAI, AAAI, ACM, IAPR, IEEE, and SPIE, and a member of Academia Europaea.
Career and education Luo joined the University of Rochester's Department of Computer Science in fall 2011. Previously, he spent more than fifteen years at Kodak Research Laboratories, where he conducted and directed research and advanced development, last holding the position of senior principal scientist. He was also named a Kodak Distinguished Inventor.
He received a PhD in electrical engineering from the University of Rochester in 1996. See p. 192 (author biography). He earned his master's degree in 1992 and bachelor's degree in 1989 from the University of Science and Technology of China, both in electrical engineering.
Research Luo's research spans signal processing, image processing, computer vision, natural language processing, machine learning, data mining, and multimedia. His work also includes multimodal learning, social media analysis, computational social science, and digital health, including medical image computing.
According to his university biography, he has published more than 700 peer-reviewed technical papers and holds at least 98 U.S. patents. As of September 10, 2026, Google Scholar recorded 76,126 citations to his publications, an h-index of 138, and an i10-index of 600.
In 2021, Luo was a principal investigator, alongside Jin Xiao and Kevin Fiscella, on a project to develop AICaries, a smartphone application designed to use artificial intelligence to detect tooth decay in children from photographs.
In 2023, he continued this work as a principal investigator on SMARTeeth (Smart Connected Oral Health Community), a three-year project funded by the National Science Foundation's Smart and Connected Communities program. The project aimed to combine the app with community outreach through oral-health centers, mobile vans, and community health workers to improve access to screening and dental care in underserved communities.
Also in 2023, Luo led a study that used machine learning to examine media bias in 1.8 million headlines published by nine U.S. news outlets between 2014 and 2022.
Professional service
Conferences and workshops Luo's conference leadership roles include:
2024: General co-chair, IEEE International Conference on Multimedia and Expo (ICME). 2023: General co-chair, ACM International Conference on Multimedia Retrieval (ICMR). 2018: General co-chair, ACM Multimedia. 2017: Program co-chair, IEEE International Conference on Image Processing (ICIP). 2016: Program co-chair, ACM International Conference on Multimedia Retrieval (ICMR). 2012: Program co-chair, IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2010: Program co-chair, ACM Multimedia. 2008: General co-chair, ACM International Conference on Content-based Image and Video Retrieval (CIVR). 2007: Co-chair, SPIE Visual Communication and Image Processing (VCIP).
He was the founding chair of the ACM SIGMM Workshop on Social Media (2009–2011) and the CVPR Workshop on Semantic Learning Applications in Multimedia (2006–2009). He has also served on IEEE technical committees and on the steering committees for ACM CIVR/ICMR and IEEE ICME. In 2001, he chaired the Rochester chapter of the IEEE Signal Processing Society.
Editorial work Luo is a deputy editor of BME Frontiers. He was editor-in-chief of IEEE Transactions on Multimedia from 2020 to 2022.
He has served on the editorial boards of Health Data Science and Intelligent Medicine, as well as ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Big Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, and Machine Vision and Applications.
His guest-edited special issues have addressed learning with fewer labels in computer vision, video analytics with deep learning, and deep learning for multimedia computing.
Awards and honors
Paper awards and distinctions Papers coauthored by Luo have received the following awards and distinctions:
+ Paper awards and distinctions, by year of recognition Year Recognition Conference or journal Paper 2026 Best Paper Finalist IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) "PixelDiT: Pixel Diffusion Transformers for Image Generation" 2023 Best Student Paper Award IEEE International Conference on Digital Health (ICDH) "sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging" 2021 Best Long Paper Award North American Chapter of the Association for Computational Linguistics (NAACL) "Video-aided Unsupervised Grammar Induction" 2018 Best Industrial Related Paper Award International Conference on Pattern Recognition (ICPR) "End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception" 2015 Best Paper Award ACM International Conference on Internet Multimedia Computing and Service (ICIMCS) "Using User Generated Online Photos to Estimate and Monitor Air Pollution in Major Cities" 2014 IEEE Multimedia Prize Paper Award IEEE Transactions on Multimedia (TMM) "Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement" 2010 Best Student Paper Award IEEE Conference on Computer Vision and Pattern Recognition (CVPR) "Visual Event Recognition in Videos by Learning from Web Data" 2008 Best Poster Paper Award ACM International Conference on Content-based Image and Video Retrieval (CIVR) "Leveraging Probabilistic Season and Location Context Models for Scene Understanding" 1994 Best Student Paper Award SPIE Visual Communication and Image Processing (VCIP) "On the applications of Gibbs random field in image processing: from segmentation to enhancement"
Individual honors 2025. IEEE Computer Society Edward J. McCluskey Technical Achievement Award 2025. AIMBE Fellow 2024. Debra Haring Excellence in Research Award, University of Rochester 2024. Edmund A. Hajim Outstanding Faculty Award, University of Rochester 2024. William H. Riker University Award for Excellence in Graduate Teaching, University of Rochester 2022. NAI Fellow 2022. Member of Academia Europaea 2021. ACM SIGMM Technical Achievement Award 2019. AAAI Fellow 2018. ACM Fellow 2018. IEEE Region 1 Technological Innovation (Academic) Award 2010. IAPR Fellow 2009. IEEE Fellow 2008. SPIE Fellow 2004. George Eastman Innovation Award, Kodak
Selected books 2022. 2011. 2011. 2011. 2010.
References
External links Official university homepage
Patents and patent applications at Justia