Junsong Yuan

Computer Science and Engineering, University at Buffalo, State University of New York

Dr. Junsong Yuan is Professor and Director of Visual Computing Lab at Department of Computer Science and Engineering (CSE), State University of New York at Buffalo, USA. Before joining SUNY Buffalo, he was Associate Professor (2015-2018) and Nanyang Assistant Professor (2009-2015) at Nanyang Technological University (NTU), Singapore. He obtained his Ph.D. from Northwestern University in 2009 (advised by Prof. Ying Wu), M.Eng. from National University of Singapore in 2005, and B.Eng. from Huazhong University of Science Technology (HUST) in 2002. He received Chancellor's Award for Excellence in Scholarship and Creative Activities from SUNY, Nanyang Assistant Professorship from NTU, Outstanding EECS Ph.D. Thesis award from Northwestern University, and Best Paper Award from IEEE Trans. on Multimedia. He serves as Editor-in-Chief of Journal of Visual Communication and Image Representation (JVCI), Associate Editor of IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), IEEE Trans. on Image Processing (T-IP), IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), and Machine Vision and Applications (MVA). He also serves as General/Program Co-chair of ICME and Area Chair for CVPR, ICCV, ECCV, ACM MM, etc. He was elected Faculty Senator at Both SUNY Buffalo and NTU. He is a Fellow of IEEE and IAPR.

Jinwei Gu

Principal Research Scientist, Nvidia

Adjunct Associate Professor, CUHK

Dr. Jinwei Gu is currently a Principal Research Scientist at NVIDIA and an Adjunct Associate Professor at the Chinese University of Hong Kong, working on generative AI, world models, and the general fields of computer vision, computer graphics, and machine learning. He received his Ph.D. in Computer Science from Columbia University in 2010, and B.S. and M.S. from Tsinghua University in 2002 and 2005, respectively. At NVIDIA, Dr. Gu is one of tech leads in cosmos model development – a family of multimodality world foundation models, with a focus on enabling real-world applications in robotics, autonomous driving, and generative AI. Prior to joining NVIDIA, he worked at SenseBrain as a R&D Executive Director, focusing on mobile computational photography with novel image sensors and imaging systems. He has published extensively in top-tier conferences and journals, and serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and IEEE Transactions on Computational Imaging (TCI) (2018-2023), an Area Chair for CVPR, NeurIPS, ICCV, ICCP, and ECCV, and organizing chairs for several workshops (MIPI, RichMediaGAI). He is an IEEE senior member since 2018. His research work has been successfully transferred to many products such as NVIDIA CoPilot SDK, DriveIX SDK, NVIDIA-Cosmos, as well as Super Resolution, Super Night, Portrait Restoration, RGBW solution which are widely used in many flagship mobile phones.

Junfeng He

Reseach Scientist, Google

Dr. Junfeng He is a tech lead and research scientist in Gogoal Research. He got his bachelor and master degree from Tsinghua Univeristy and PhD from Columbia University. His full publication list can be found in gogole scholar page. He has about 20 years research expriences on image retrieval and classification, image generation/editing and their detection, ranking, large scale (approximate) machine learing etc. His current research interests include the intersection of AIGC and user modeling, as well as post-training for generative models, and the intersection of computer vision and human vision/perception.

Jinyang Guo

Assistant Professor, Beihang University

Jinyang Guo is an Assistant Professor at Institute of Artificual Intelligence, Beihang University. Before that, he obtained his PhD from the University of Sidney. His current research interests include efficient methods for machine/deep learning, such as model sparsification, quantization, and distillation. He has published more than 20 papers on top-tier conference and journals, such as IEEE TIP, CVPR, AAAI.