Zichen Wang

I am Zichen, a first-year Ph.D. student at the University of Michigan, advised by Prof. JJ Park. I work on the intersections of Computer Vision, Computer Graphics, and generative models.

Prior to that, I obtained my Bachelor degrees in Mathematics and Computer Science at Cornell University, where I worked with Prof. Steve Marschner on differentiable rendering.

Email / Google Scholar / Github

Research

Here are some of my research projects.

	A Simple Approach to Differentiable Rendering of SDFs Zichen Wang, Xi Deng, Ziyi Zhang, Wenzel Jakob, Steve Marschner SIGGRAPH Asia 2024 [Project] [arXiv] [Code]
	DiffusionPDE: Generative PDE-Solving Under Partial Observation Jiahe Huang, Guandao Yang, Zichen Wang, JJ Park NeurIPS 2024 [Project][arXiv][Code]
	Accurate Differential Operators for Neural Fields Aditya Chetan, Guandao Yang, Zichen Wang, Steve Marschner, Bharath Hariharan arXiv preprint [Project][arXiv]
	Revisiting Garg's 2-Approximation Algorithm for the k-MST Problem in Graphs Emmett Breen, Renee Mirka, Zichen Wang, David P. Williamson * Authors listed in alphabetical order Symposium on Simplicity in Algorithms (SOSA), 2023 [Paper] [Slides] [arXiv]
	Four-periodic infinite staircases for four-dimensional polydisks Caden Farley, Tara Holm, Nicki Magill, Jemma Schroder, Zichen Wang, Morgan Weiler, Elizaveta Zabelina * Authors listed in alphabetical order Joint Math Meeting, 2023; Involve, A Journal Of Mathematics, 2023 [arXiv] [Code]
	On 2-digit and 3-digit Kaprekar's Routine Zichen Wang, Wei Lu [arXiv]