于莉，南京信息工程大学计算机学院、网络空间安全学院副教授，硕士生导师。2017年获英国利物浦大学电子与电气工程学院工学博士学位。2017年至2018年于芬兰坦佩雷理工大学担任博士后。主要研究方向为基于深度学习的视频编码与传输等。近五年，获得全国高等学校电子信息类专业青年教师授课竞赛全国二等奖等多项教学比赛奖，主持国家自然科学基金青年项目等课题共计6项，获江苏省双创博士等荣誉称号，在IEEE Transactions on Multimedia（TMM）等期刊发表论文十余篇。

学习与工作经历：

2017.05 - 2018.05 Tampere University of Technology, Postdoc

2012.12 - 2017.06 University of Liverpool, PhD

2008.09 - 2012.06 Soochow University, Bachelor

研究领域：

视频编码与传输，计算机视觉，人工智能

招生信息：

今年拟招收硕士研究生5名，欢迎对计算机视觉、深度学习等方向感兴趣的同学与我联系，可发送个人简历至邮箱：

li.yu@nuist.edu.cn

代表性论文：

论文列表：‪Li Yu‬ - ‪Google 学术‬

Yu Li, Zhong, H., Zou, L., Chen, K., Gao, P. "Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation." IEEE Transactions on Circuits and Systems for Video Technology (2025).

Yu Li, Wu Shiyu and Gabbouj Moncef, “Multi-Swin Transformer Based Spatio-Temporal Information Exploration for Compressed Video Quality Enhancement,” IEEE Signal Processing Letters, vol. 31, pp. 1880-1884, 2024, doi : 10.1109/LSP.2024.3429008.

Yu Li, Wenshuai Chang, Shiyu Wu and Moncef Gabbouj, "End-to-End Transformer for Compressed Video Quality Enhancement," in IEEE Transactions on Broadcasting, vol. 70, no. 1, pp. 197-207, 2024.

Yu Li, Junyang Li, Farhad Pakdaman, Miaogen Ling and M. Gabbouj. “MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics.” IEEE Signal Processing Letters 30 (2023): 588-592.

Yu Li, Wenshuai Chang, Weize Quan, Jimin Xiao, Dong-Ming Yan, Moncef Gabbouj, Neural texture transfer assisted video coding with adaptive up-sampling, Signal Processing: Image Communication, 2022, Volume 107,116754.

Yu Li ; Tillo Tammam; Xiao Jimin; Grangetto Marco, Convolutional Neural Network for Intermediate View Enhancement in Multiview Streaming , IEEE Transactions on Multimedia, 2018.01, 20(1): 15~28