Xiaoyan Jiang is currently an associate professor in the School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, China. She received the Ph.D. degree in computer science from Friedrich-Schiller University of Jena, Germany, in 2015. Her research interests include semantic segmentation, pose estimation, person re-identification, multi-modal fusion, and SLAM. 

She has 50 publications in the field of computer vision and machine learning including top journals and conferences. She holds multiple funds both from research organizations and enterprises aiming to design AI solutions for practical scenarios. She is the associate editor of Applied Intelligence (impact factor: 5.3), the PC Member of ICPCSEE2019, the keynote speaker in ICFTIC2019, IWITC2021, and CISE2023. She is the reviewer of several top journals and conferences, including TMM, TIP, TITS, TCSVT, ICME.