Bio
Jianquan Liu is currently the Director and Head of Video Insights Discovery Research Group at the Visual Intelligence Research Laboratories of NEC Corporation, working on the topics of multimedia data processing. He is also a visiting professor at Nagoya University and an adjunct professor at Hosei University, Japan. Prior to NEC, he was a development engineer in Tencent Inc. from 2005 to 2006, and was a visiting researcher at the Chinese University of Hong Kong in 2010. His research interests include high-dimensional similarity search, multimedia databases, web data mining and information retrieval, cloud storage and computing, and social network analysis. He has published 70+ papers at major international/domestic conferences and journals, received 30+ international/domestic awards, and filed 70+ PCT patents. He also successfully transformed these technological contributions into commercial products in the industry. Currently, he is/was serving as the Industry Co-chair of IEEE ICIP 2023, 2025 and ACM MM 2023, 2024; the General Co-chair of IEEE MIPR 2021; the PC Co-chair of IEEE IRI 2022, ICME 2020, AIVR 2019, BigMM 2019, ISM 2018, ICSC 2018, ISM 2017, ICSC 2017, IRC 2017, and BigMM 2016; the Workshop Co-chair of IEEE AKIE 2018 and ICSC 2016; the Demo Co-chair of IEEE MIPR 2019 and MIPR 2018. He is a senior member of ACM and IEEE, and a member of IEICE, IPSJ, APSIPA and the Database Society of Japan (DBSJ), a member of expert committee for IEICE Mathematical Systems Science and its Applications (2017-), and IEICE Data Engineering (2015-2021), and an associate editor of IEEE TMM (2023-), ACM TOMM (2022-), EURASIP JIVP (2023-), IEEE MultiMedia Magazine (2019-2022), ITE Transaction on Media Technology and Applications (2021-), APSIPA Transactions on Signal and Information Processing (2022-), and the Journal of Information Processing (2017-2021). Dr. Liu received the M.E. and Ph.D. degrees from the University of Tsukuba, Japan.

Bio
Dr. Raian Ali joined HBKU as a Professor in Information and Computing Technology. His research has an inter-disciplinary nature, with a focus on the inter-relation between technology and human requirements and behavior. His work on Digital Addiction and Digital Wellbeing has been widely featured by mainstream media, including the BBC, Telegraph, Huffington Post, and La Stampa. He gives speeches and provides consultancy on the topic both nationally and internationally. Dr. Ali has received the Marie Curie CIG grant and other grants from prestigious sponsors in the UK and Europe for work in areas he has pioneered, e.g., software social adaptation and designing to combat digital addiction. He sits on the editorial board and organizing and program committees of leading international conferences and journals in the field of information systems, software engineering, and behavioral and social informatics. He has published over 120 articles.

Bio
Dr. Hao Chen is a Professor specializing in Computational Behavioral Science. He currently holds a faculty position in the Department of Social Psychology at Nankai University. Dr. Chen received his Ph.D. and Master of Arts in Social Psychology from Nankai University and earned his Bachelor of Engineering (Hons) in Air Traffic Management from the Civil Aviation University of China. Dr. Chen has been with Nankai University since 2008, starting as an Assistant Professor and being promoted to Associate Professor in 2011. His research expertise includes computational behavioral science, socioecological psychology, online and offline collective action, and evolutionary psychology in intimate relationships. Throughout his career, Dr. Chen has made significant contributions to the field through his teaching and research. He teaches courses such as Applied Social Psychology, Advanced Psychological Statistics, Psychological Statistics and SPSS Software, Social Statistics and SPSS Software, and Psychometrics. Dr. Chen's research has been widely published, with notable papers including studies on social mood prediction, collective emotional reactions to societal risks, and the impact of micro-blog social moods on the Chinese stock market. His work has appeared in various international conferences and journals, earning recognition in the field. In addition to his academic work, Dr. Chen has been honored with several awards, including the Excellent Tutor Prize for Excellent Graduation Thesis of Undergraduate in Nankai University (2015 & 2016), the Best Paper Award at the 2nd International Conference on Behavioral, Economic, and Socio-Cultural Computing (2015), and the Jung Tae-Gon Young Scholar Award from the Asian Association of Social Psychology (2009). He was also nominated for the National 100 Excellent Doctoral Dissertation Award in 2010 and received the Outstanding Doctoral Dissertation Award in Tianjin City the same year.

Bio
Xin Li, Ph.D. and the senior engineer, is the vice president of the AI Research Institute and the head of the R&D department of iFLYTEK. He obtained his Ph.D. degree from and served as postdoctoral researcher and associate professor at the University of Science and Technology of China (USTC), and was a visiting scholar at the University of Technology Sydney (UTS). He is also a researcher at the National Key Laboratory for Cognitive Intelligence, a senior member of China Computer Federation (CCF), the member of the Executive Committee of the CCF's Big Data Committee, the member of council in the China Association of Standardization (CAS), the deputy director of Brain-Computer Interface and Brain-inspired Intelligence Special Committee of CAS, and the vice chairman of the System and Industry Application Group in Brain-Computer Interface Alliance (BCIA). He is also a young expert of the China Internet Society and a founding editor of the Journal of Natural Language Processing, and received “The Young 30” honor of Brain Science and Brain-like Intelligence, KSEM and CIKM best paper/ runners up award. He is mainly responsible for the application research of artificial intelligence and cognitive neuroscience technology in education, medical and other fields. He has led and participated in multiple projects including the 2030 Program and the key research and development programs of the Ministry of Science and Technology of China, along with several funds of Natural Science Foundation of China. He has published over 90 papers and patents in top international academic conferences and well-known journals.

Bio
Lin Qiu is an Associate Professor at Chinese University of Hong Kong with joint appointments in the Department of Psychology and School of Journalism and Communication. Before joining CUHK, he was an Associate Professor in School of Social Sciences and College of Computing and Data Science (by courtesy) at Nanyang Technological University, and a member of Singapore Ministry of Education’s Computational Social Science research panel. He received his Bachelor from Shanghai Jiao Tong University, and his Ph.D. from Northwestern University. His research interests include Computational Social Science, Personality Psychology, Social Psychology, and Human-computer Interaction. His work has appeared in top-tier journals including Psychological Science, Personality and Social Psychology Bulletin, Journal of Research in Personality, and Computers in Human Behavior. He is Associate Editor of Journal of Computational Social Science, Associate Editor of PsyCh Journal, Editorial Board Member of Human-Centric Intelligent System. He was Associate Editor of Asian Journal of Social Psychology.

Bio
Dr. Jiangtao Wang is a Professor at the School of AI and Data Science, University of Science and Technology of China (USTC). Before joining USTC, he was an Assistant and Associate Professor in the UK. Dr. Wang specializes in developing AI algorithms to analyze complex healthcare data, aiming to improve healthcare delivery. He has created advanced machine learning models for population health monitoring, diagnosis prediction, drug-drug interaction analysis, and COVID-19 severity estimation, often outperforming current methods on real-world data. In 2021, Dr. Wang received the EPSRC New Investigator Award, and in 2023, he was selected for the UK Future Leader Fellow development network.