Mirlabs
Leida Li
Leida Li
Xidian University, Xi'an
Regular Member
Personal Web Site: https://web.xidian.edu.cn/ldli/en/index.html
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=234
Short Biography

Leida Li received the B.E. and Ph.D. degrees from Xidian University in 2004 and 2009, respectively. From Feb. to Jun. 2008, he was a research associate in Kaohsiung University of Science and Technology, Taiwan. From Jan. 2014 to Jan. 2015, he was a Research Fellow with the Rapid-rich Object SEarch (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, working with Prof. Alex C. Kot and Prof. Weisi Lin. From Jul. 2016 to Jul. 2017, he was a Senior Research Fellow in ROSE lab, NTU, Singapore. From July 2009 to June 2019, he worked as Lecturer, Associate Professor and Professor, in the School of Information and Control Engineering, China University of Mining and Technology, China. Currently, he is a Full Professor with the School of Artificial Intelligence, Xidian University, China. He is an Associate Editor of Journal of Visual Communication and Image Representation (Best Associate Editor Award 2021) , Young Associate Editor of Journal of Image and Graphics (Excellent Editor Award 2022). His research interests include image processing and recognition, multimedia quality assessment, information hiding and image forensics. He has published more than 100 papers in these areas. He is a senior member of CCF and CSIG and a member of IEEE/CAAI.

List of top 5 publications in the last 5 years

  1. Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Weisi Lin, "Personality-assisted Multi-task Learning for Generic and Personalized Image Aesthetics Assessment", IEEE Transactions on Image Processing, vol. 29, pp. 3898-3910, 2020.
  2. Leida Li, Pengfei Chen, Weisi Lin, Mai Xu, Guangming Shi, "From Whole Video to Frames: Weakly-Supervised Domain Adaptive Continuous-Time QoE Evaluation", IEEE Transactions on Image Processing, 2022.
  3. Leida Li, Yipo Huang, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, Guangming Shi, "Theme-aware Visual Attribute Reasoning for Image Aesthetics Assessment", IEEE Transactions on Circuits and Systems for Video Technology, 2023. 
  4. Hancheng Zhu, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi, “MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14131-14140, June 14-19, 2020.
  5. Pengfei Chen, Leida Li*, Jinjian Wu, Weisheng Dong, Guangming Shi, “Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment”, IEEE International Conference on Computer Vision (ICCV), pp. 5158-5167, Oct. 11-17, 2021.

List of top 5 academic activities during the last 5 years