Multimodal Learning toward Micro-Video Understanding

Liqiang Nie is currently a professor with the School of Computer Science and Technology, Shandong University. In addition, he is the adjunct dean with the Shandong AI institute.H e received his B.Eng. and Ph.D. from Xian Jiaotong University in 2009 and the National University of Singapore (NUS) in 2013, respectively. After his Ph.D., Dr. Nie continued his research in NUS as a research fellow for three and half years. His research interests lie primarily in multimedia computing and information retrieval. Dr. Nie has authored and/or coauthored more than 100 papers for SIGIR, ACM MM, TOIS,and TIP, received more than 4,800 Google Scholar citations. He is an AE of Information Science, and an area chair of ACMMM 2018/2019.Meng Liu is currently a Ph.D. student with the School of Computing Science and Technology, Shandong University. She received an M.S. in computational mathematics from Dalian University of Technology, China in 2016. Her research interests are multimedia computing and information retrieval. Various parts of her work have been published in top forums and journals, such as SIGIR, MM, and IEEE TIP. She has served as reviewer and subreviewer for various conferences and journals, such as MMM, MM, PCM, JVCI, and INS.Xuemeng Song received a B.E. from the University of Science and Technology of China in 2012, and a Ph.D. from the School of Computing, National University of Singapore in 2016. She is currently an assistant professor of Shandong University, Jinan, China. Her research interests include information retrieval and social network analysis. She has published several papers in the top venues, such as ACM SIGIR, MM,and TOIS. In addition, she has served as a reviewer for many top conferences and journals.

• Preface.- Acknowledgments.- Introduction.- Data Collection.- Multimodal Transductive Learning for Micro-Video Popularity Prediction.- Multimodal Cooperative Learning for Micro-Video Venue Categorization.- Multimodal Transfer Learning in Micro-Video Analysis.- Multimodal Sequential Learning for Micro-Video Recommendation.- Research Frontiers.- Bibliography.- Authors' Biographies.