Richard (Hao) Zhang
Simon Fraser University
Richard (Hao) Zhang is a Distinguished University Professor at Simon Fraser University (SFU), an Amazon Scholar, and he directs the GrUVi (Graphics U Vision) Lab in the School of Computing Science. He obtained his Ph.D. from the University of Toronto, and MMath and BMath degrees from the University of Waterloo. His research is in computer graphics and visual computing with special interests in geometric modeling, shape analysis, 3D vision, geometric deep learning, as well as computational design and fabrication. He has published more than 200 papers on these topics, including 60+ articles in SIGGRAPH, SIGGRAPH Asia, and ACM Trans. on Graphics, the most prestigious venue in computer graphics. Methods from three of his papers on geometry processing have been adopted by CGAL, the open-source Computational Geometry Algorithms Library.
Awards won by Richard include an NSERC DAS (Discovery accelerator Supplement) Award in 2014, a Faculty of Applied Sciences (FAS) Research Excellence Award at SFU in 2014, a National Science Foundation of China (NSFC) Overseas Outstanding Young Researcher Award in 2015, a Google Faculty Research Award in 2019, a Best Dataset Award from ChinaGraph (2020), as well as faculty grants/gifts from Adobe and Autodesk. He and his students have won the CVPR 2020 Best Student Paper Award and Best Paper Awards at SGP 2008 and CAD/Graphics 2017.
Microsoft Research Asia
Dr. Xin Tong is the partner research manager of Microsoft Research Asia and the leader of internet graphics group of MSRA. He joined MSRA in 1999 after he obtained his Ph.D. degree from Tsinghua University. His research interests covers many topics in computer graphics and computer vision, including appearance modeling and rendering, texture synthesis, real time rendering, facial animation, and data driven geometric processing. He served as the associate editor of IEEE CG&A, CGF, IEEE TVCG, and ACM TOG.
University of California, San Diego
Hao Su has been in UC San Diego as Assistant Professor of Computer Science and Engineering since July 2017. He has been pushing to use machine learning methods to capture and understand 3D data. Recently, he is interested in generalizable policy learning through structured 3D environment representation. He was also on the creator team of ImageNet, a large-scale 2D image database. Applications of Su's research include robotics, autonomous driving, virtual/augmented reality, smart manufacturing, etc. He served on the program committee of multiple conferences and workshops on computer vision, computer graphics, and machine learning. He has been serving as the Area Chair of top vision conferences (CVPR/ICCV/ECCV) since 2019, the Associate Editor of Transactions on Graphics since 2020, and the Associate Editor of robotics conferences (IROS/ICRA) since 2020.
Xuejin Chen received the B.S. and Ph.D. degrees from the University of Science and Technology of China (USTC) in 2003 and 2008, respectively. From 2008 to 2010, she conducted research as a post-doctoral scholar at the Department of Computer Science, Yale University. She joined USTC as an associate professor in August 2010. She worked at Microsoft Research Asia and Stanford University as a visiting Scholar in 2014 and 2017, respectively.
Her research interests include 3-D modeling, geometry processing, and biomedical image processing. She has published over 60 papers in these areas including ACM SIGGRAPH, CVPR, NeurIPS, IEEE Trans. Medical Imaging, etc. She received the Honorable Mention Award of the journal of Computational Visual Media in 2019. She served on the program committee of multiple conferences on computer vision and computer graphics.