Prof. Rongrong Ji

Xiamen University, China (IEEE & ACM Senior Member) (H-index: 81)

纪荣嵘，教授，厦门大学

Prof. Rongrong Ji, his research falls in the field of computer vision, multimedia, and machine learning. His scholarly work mainly focuses on leveraging big data to build computer systems to understand visual scenes and human behaviors, inferring the semantics and retrieving instances for various emerging applications. He interests include compact visual descriptor, social media sentiment analysis, and holistic scene understanding, model compression and acceleration recently. He has published over a hundred papers papers in tier-1 journal and conferences like PAMI, IJCV, TIP, CVPR, ICCV, IJCAI, AAAI and ACM Multimedia. His work has been cited over 28,000 times in Google Scholar.

Prof. Rongrong Ji is an associate editors in Neurocomputing, Multimedia Tools and Applications, The Visual Computer, PLOS ONE, Frontiers of Computer Science etc., guest editors in ACM Transactions on Intelligent Systems and Technology, IEEE Multimedia Magazine, Signal Processing, Neurocomputing etc., General Chair of VALSE (Vision And Learning Seminar) 2017, Local/Session/Area Chairs in IEEE MMSP 2015, ACM ICMR 2014, IEEE VCIP 2014, ACM MMM 2015, IEEE ISM 2015 etc. TPC Members in AAAI 2015, CVPR 2013, ICCV 2013, ACM Multimedia 2010-2015 etc. He has been a Senior Member of IEEE (2014-now), Senior Member of ACM (2015-now), Chair of VAIG Group for IEEE Multimedia Communication Technical Committee (MMTC) (2014-2016), Member of ACM, Chair of CCF YOCSEF Xiamen (2016-2017), and Executive Member of Fujian Association of Artificial Intelligence. He has also served as General Chair for various conferences, including VALSE 2017, PRCV 2023, CCIG 2024. He holds multiple roles in academic committees, including being the Co-Chair for the National Standards Working Group for Artificial Intelligence in China.

In the past decade, Prof. Rongrong Ji and his collaborators have developed some of the state-of-the-art mobile visual search systems and social multimedia analytics tools, with top performances in the MPEG Compact Descriptor for Visual Search (CDVS) standard evaluations. His work has also been recognized by ACM Multimedia 2011 Best Paper Award, Microsoft Fellowship 2007, and Best Thesis Award of Harbin Institute of Technology. His research has been supported by government agencies like National Science Foundation of China. And he is the recipient of the National Science Foundation for Excellent Young Scholars (2014) and National Science Foundation for Distinguished Young Scholars (2022). His research has also been supported by major government projects such as the Ministry of Science and Technology Innovation 2030 Major Project, Military Science and Technology Foundation Projects, National Natural Science Foundation of China, and others.

Prof. Rongrong Ji has won several awards, including Doctoral Consortium Award, CVPR, 2010; The IEEE SA Emerging Technology Award, 2022; Outstanding Contribution to Standard of IEEE 2941;Fok Ying Tung Young Scientist Award, 2022;Ministry of Education Technology Invention Award, 2017; Ministry of Education Technology Invention Award, 2022;Fujian Provincial Science and Technology Progress Award, 2019; Fujian Province Science and Technology Progress Award, 2022;Fujian Province Science and Technology Progress Award, 2023; Xiamen Science and Technology Progress Award, 2021; Henan Province Science and Technology Progress Award, 2022; Heilongjiang Provincial Natural Science Award, 2015.