Ziwei Liu is an Associate Professor at MMLab@NTU, College of Computing and Data Science in Nanyang Technological University, Singapore. Previously, he was a research fellow in Chinese University of Hong Kong with Prof. Dahua Lin and a post-doc researcher in University of California, Berkeley with Prof. Stella Yu. His research interests include computer vision, machine learning and computer graphics. Ziwei is the recipient of PAMI Mark Everingham Prize, MIT TR Innovators under 35 Asia Pacific, ICBS Frontiers of Science Award, CVPR Best Paper Award Candidate and Asian Young Scientist Fellowship.

Marc'Aurelio Ranzato is a research scientist director at Google DeepMind in London. He is generally interested in Machine Learning, Computer Vision, Natural Language Processing and, more generally, Artificial Intelligence. His long term endeavor is to enable machines to learn more efficiently and with less supervision by transferring and acrruing knowledge over time. He joined Facebook and was a founding member of the Facebook AI Research lab. He has been at Google DeepMind in London since August 2021, where he leads the continual learning team.

Bing Liu is a Distinguished Professor and Peter L. and Deborah K. Wexler Professor of Computing at the University of Illinois at Chicago (UIC). He received his PhD in Artificial Intelligence from the University of Edinburgh. Before joining UIC, he was a faculty member (associate professor) at School of Computing, National University of Singapore (NUS). He was also with Peking University for one year (2019-2020). His current Research interests include lifelong or continual learning, open-world AI and continual learning, continual learning language models and dialogue systems, natural language processing, Machine learning, Artificial General Intellgience (AGI).

Zsolt Kira is an Asssociate Professor at the School of Interactive Computing in the College of Computing, and serve as an Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. Previously He was a Branch Chief at the Georgia Tech Research Institute (GTRI) and Research Scientist at SRI International Sarnoff in Princeton. He leads the RobotIcs Perception and Learning (RIPL) lab. His areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas. He is especially interested in moving beyond supervised learning (un/semi/self-supervised and continual/lifelong learning) as well as distributed perception (multi-modal fusion, learning to incorporate information across a group of robots, etc.).