Yitong Deng 邓宜桐

I am a first-year Ph.D. student in CS at Stanford. My research interest lies in computer graphics, computational physics, and machine learning. I strive to design numerical methods grounded in physical and mathematical principles to faithfully and efficiently simulate the motion of real-world objects. Before joining Stanford, I received my M.S. from Dartmouth College, where I was very fortunate to work with Prof. Bo Zhu. I received my B.A. summa cum laude from Colby College.
Email: yitongd [at] stanford (dot) edu



Fluid Simulation on Neural Flow Maps
ACM Transactions on Graphics (SIGGRAPH Asia 2023)
Best Paper Award
Yitong Deng, Hong-Xing "Koven" Yu, Diyang Zhang, Jiajun Wu, and Bo Zhu
[paper] [webpage] [video]


Second-Order Finite Elements for Deformable Surfaces
SIGGRAPH Asia 2023 Conference Track
Qiqin Le, Yitong Deng, Jiamu Bu, Bo Zhu, and Tao Du
[paper] [webpage] [video]


Inferring Hybrid Fluid Fields from Videos
NeurIPS 2023
Hong-Xing "Koven" Yu*, Yang Zheng*, Yuan Gao, Yitong Deng, Bo Zhu, and Jiajun Wu
[paper] [webpage]


Learning Vortex Dynamics For Fluid Inference and Prediction
ICLR 2023
Yitong Deng, Hong-Xing "Koven" Yu, Jiajun Wu, and Bo Zhu
[paper] [webpage] [video]


A Moving Eulerian-Lagrangian Particle Method for Thin Film and Foam Simulation
ACM Transactions on Graphics (SIGGRAPH 2022)
Yitong Deng, Mengdi Wang, Xiangxin Kong, Shiying Xiong, Zangyueyang Xian, and Bo Zhu
[paper] [webpage] [video]


Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics
Computers and Fluids
Shiying Xiong, Xingzhe He, Yunjin Tong, Yitong Deng, and Bo Zhu


Thin-Film Smoothed Particle Hydrodynamics Fluid
ACM Transactions on Graphics (SIGGRAPH 2021)
Mengdi Wang, Yitong Deng, Xiangxin Kong, Aditya Prasad, Shiying Xiong, and Bo Zhu
[paper] [webpage] [video]


Soft Multicopter Control Using Neural Dynamics Identification
CoRL 2020
Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel DiPietro, and Bo Zhu
[paper] [video] [presentation]