Professor Masashi Sugiyama (RIKEN-AIP)

Masashi Sugiyama received the degrees of Bachelor of Engineering, Master of Engineering, and Doctor of Engineering in Computer Science from Tokyo Institute of Technology, Japan in 1997, 1999, and 2001, respectively. In 2001, he was appointed Assistant Professor in the same institute, and he was promoted to Associate Professor in 2003. He moved to the University of Tokyo as Professor in 2014. Since 2016, he has concurrently served as Director of RIKEN Center for Advanced Intelligence Project. His research interests include theories and algorithms of machine learning and data mining, and a wide range of applications such as signal processing, image processing, and robot control.

Dr. Gang Niu (RIKEN-AIP)

Gang Niu is currently a research scientist (indefinite-term) at RIKEN Center for Advanced Intelligence Project. He received the PhD degree in computer science from Tokyo Institute of Technology in 2013. Before joining RIKEN as a research scientist, he was a senior software engineer at Baidu and then an assistant professor at the University of Tokyo. He has published more than 70 journal articles and conference papers, including 28 ICML, 17 NeurIPS (1 oral and 3 spotlights), and 2 ICLR (1 oral) papers. He has served as an area chair 16 times, including ICML 2019--2022, NeurIPS 2019--2021, and ICLR 2021--2022, and will serve as a publication chair for ICML 2022.

Dr. Bo Han (HKBU)

Bo Han is currently an Assistant Professor of Computer Science at Hong Kong Baptist University, and a BAIHO Visiting Scientist at RIKEN Center for Advanced Intelligence Project (RIKEN AIP), hosted by Masashi Sugiyama. He was a Postdoc Fellow at RIKEN AIP (2019-2020), advised by Masashi Sugiyama. He received his Ph.D. degree in Computer Science from University of Technology Sydney (2015-2019), advised by Ivor W. Tsang and Ling Chen. He has served as area chairs of NeurIPS and ICLR, senior program committees of IJCAI and ACML, and program committees of ICML, AISTATS, UAI and AAAI. He has served as a guest editor of MLJ Special Issue.

Dr. Tongliang Liu (USYD)

Tongliang Liu is currently a Senior Lecturer with School of Computer Science at the University of Sydney. He is heading the Trustworthy Machine Learning Laboratory and is also a Visiting Scientist at RIKEN AIP. He is broadly interested in the fields of trustworthy machine learning and its interdisciplinary applications, with a particular emphasis on learning with noisy labels, adversarial learning, transfer learning, unsupervised learning, and statistical deep learning theory. He is/was Area Chair for many conferences, such as ICML, NeurIPS, ICLR, UAI, AAAI, and IJCAI. He was named in the Early Achievers Leaderboard of Engineering and Computer Science by The Australian in 2020.