Dynamic Graph Learning for Dimension Reduction and Data Clustering

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.

雷珠博士是山東師範大學資訊科學與工程學院的教授。他於2009年獲得武漢理工大學的工程學學士學位，並於2015年獲得華中科技大學的博士學位。他曾擔任昆士蘭大學的研究員。雷珠共同或獨立發表了超過100篇經過同行評審的論文，發表於ACM SIGIR、ACM MM、IEEE TPAMI、IEEE TIP、IEEE TKDE和ACM TOIS等期刊。他獲得了2019年ACM SIGIR最佳論文榮譽提名獎、2020年ADMA最佳論文獎以及ACM中國SIGMM新星獎。他的研究興趣包括大數據挖掘和大規模多媒體內容分析與檢索。

李晶晶博士是電子科技大學計算機科學與工程學院的教授。他於2010年、2013年和2015年分別獲得電子科技大學的工程學學士、碩士和博士學位。他共同或獨立發表了超過70篇經過同行評審的論文，發表於IEEE TPAMI、IEEE TIP、IEEE TKDE、CVPR、ICCV、AAAI、IJCAI和ACM Multimedia等期刊。他於2018年獲得中國電子學會優秀博士論文獎。他的研究興趣包括領域適應和零樣本學習。

張政博士是哈爾濱工業大學（深圳）計算機科學與技術學院的終身副教授。他於2018年獲得哈爾濱工業大學的計算機應用技術博士學位。他在IEEE TPAMI、IJCV、IEEE TIP、IEEE TNNLS、CVPR、ECCV、ICCV、ACM MM、AAAI和IJCAI等知名期刊和會議上發表了超過150篇技術論文。他獲得了2019年中國人工智慧學會（CAAI）青年傑出研究成就獎，並曾獲得2021年ACM Multimedia Asia的榮譽提名獎和2014年智能計算國際會議的最佳論文獎。他的研究興趣包括機器學習、計算機視覺和多媒體分析。