Dynamic Graph Learning for Dimension Reduction and Data Clustering

About Jingjing LiLei ZhuZheng Zhang

Lei Zhu PhD. is a Professor in the School of Information Science and Engineering at Shandong Normal University. He received his B.Eng. and Ph.D. degrees from Wuhan University of Technology in 2009 and Huazhong University Science and Technology in 2015 respectively. He was also previously a Research Fellow at the University of Queensland. Zhu has co-/authored more than 100 peer-reviewed papers such as ACM SIGIR ACM MM IEEE TPAMI IEEE TIP IEEE TKDE and ACM TOIS. He won ACM SIGIR 2019 Best Paper Honorable Mention Award ADMA 2020 Best Paper Award ACM China SIGMM Rising Star Award. His research interests are in the area of big data mining and large-scale multimedia content analysis and retrieval.Jingjing Li PhD. is a Professor in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). He received his B.Eng. M.Sc. and Ph.D. degrees from UESTC in 2010 2013 and 2015 respectively. He has co-/authored morethan 70 peer-reviewed papers such as IEEE TPAMI IEEE TIP IEEE TKDE CVPR ICCV AAAI IJCAI and ACM Multimedia. He won Excellent Doctoral Dissertation award of Chinese Institute of Electronics in 2018. His research interests are in the area of domain adaptation and zero-shot learning.Zheng Zhang PhD. is a tenured Associate Professor at the School of Computer Science & Technology Harbin Institute of Technology Shenzhen China. He received his Ph.D. degree in Computer Applied Technology from Harbin Institute of Technology in 2018. He has published over 150 technical papers in prestigious journals and conferences such as IEEE TPAMI IJCV IEEE TIP IEEE TNNLS CVPR ECCV ICCV ACM MM AAAI and IJCAI. He has received the 2019 Young Outstanding Research Achievement Award of the Chinese Association for Artificial Intelligence (CAAI) and was also a recipient of the Honorable Mentioned Award from ACM Multimedia Asia 2021 and the Best Paper Award from International Conference on Smart Computing 2014. His research interests include machine learning computer vision and multimedia analytics.