Shiying Xiong is a Postdoctoral Researcher working with Prof. Bo Zhu in the Visual Computing Lab at Dartmouth College. He received a Ph.D. in Fluid Mechanics at Peking University in 2019, advised by Prof. Yue Yang. Before starting his Ph.D., he obtained a Bachelor's degree in Physics at Jilin University in 2014. His research interests include Computational Physics, Vortex Dynamics, and Scientific Machine Learning. He has published papers at SIGGRAPH, ICLR, NeurIPS, JFM, JCP, PoF, etc. More information can be reached via: https://shiyingxiong.github.io/
Talk title: A Clebsch Method for Free-Surface Vortical Flow Simulation
Abstract: We propose a novel Clebsch method to simulate the free-surface vortical flows. At the center of our approach lies a level-set method enhanced by a wave-function correction scheme and a wave-function extrapolation algorithm to tackle the Clebsch method's numerical instabilities near a dynamic interface. By combining the Clebsch wave function's expressiveness in representing vortical structures and the level-set function's ability on tracking interfacial dynamics, we can model complex vortex-interface interaction problems that exhibit rich free-surface flow details on a Cartesian grid. We showcase the efficacy of our approach by simulating a wide range of new free-surface flow phenomena that were impractical for previous methods, including horseshoe vortex, sink vortex, bubble rings, and free-surface wake vortices.
University of Utah
Dr. Yin Yang is currently an Associate Professor with the School of Computing at the University of Utah. Before joining Utah, he was a faculty member at University of New Mexico and Clemson University. He received Ph.D. degree of Computer Science from The University of Texas, Dallas in 2013 (the awardee of David Daniel Fellowship Prize). He was a Research/Teaching Assistant at UT Dallas as well as UT Southwestern Medical Center. His research mainly focuses on real-time physics-based computer graphics, animation and simulation with a strong emphasis on interdisciplinarity. He was a Research Intern in Microsoft Research Asia in 2012. He received NSF CRII (2015) and CAREER (2019) awards. Dr. Yang has published over 70 conference/journal articles in areas of computer graphics, animation, machine learning, computer aided design, and medical imaging. He serves as the TPC member for many international conferences and the reviewer for almost all the top journals/conferences in computer graphics and animation.
Talk title: Accelerate Penetration-free Simulation
Abstract: Incremental potential contact (IPC) is an emerging numerical solution to handle collisions and contacts between virtual objects. While demonstrating excellent robustness and accuracy, the computational overhead of IPC remains significant. In this talk, I would like to share with you a few or our recent projects aiming to accelerate IPC-involved simulations. With a dedicated reduced-order model, IPC can be speeded up by orders of magnitude. Stiff object simulation can also greatly benefit from reduced IPC simulation. As IPC relaxes the complementary slackness, penetration-free variational optimization becomes compatible with other optimization and simulation algorithms. We demonstrate one of possibilities using projective dynamics.
He is now the chief Professor of the State Key Laboratory of CAD&CG, College of Computer Science and Technology, Zhejiang University, and the Changjiang Scholar of the Ministry of Education. He was a POSTDOCTORAL fellow at Ritsumeikan University, a researcher at the NETWORK GRAPHICS GROUP of Microsoft Research Asia, and a DISTINGUISHED Professor of QianJIANG scholars of Zhejiang Province in Hangzhou Normal University. His research interests include computer graphics, including 3D reconstruction, deep learning, physical simulation, and 3D printing. He has published more than 80 papers in high-level academic conferences and journals nationally and internationally, including more than 40 CCF-A papers such as ACM Transactions on Graphics, IEEE TVCG, IEEE CVPR, AAAI, etc. China and the United States authorized 15 patents. The developed 3D registration and reconstruction techniques have been applied in high precision scanners and 3D human body reconstruction systems. In 2014, supported by the National Natural Science Foundation for Excellent Youth, he presided over one key project of National Natural Science Foundation and won the second prize of natural science in Zhejiang Province.