Siqi Wang (王思棋)

siqi.wang [AT] nyu [DOT] edu

I am a final-year Ph.D. candidate in Computer Science at the Geometric Computing Lab of New York University, supervised by Prof. Daniele Panozzo and Prof. Denis Zorin. Earlier, I earned my B.Sc (2019) in Electrical Engineering from Shanghai Jiao Tong University in China. I also served as a research assistant at Dartmouth College with Prof. Xia Zhou and Prof. Bo Zhu.

I have also spent time working for the Engine (Geometry) Group of Roblox as a research intern in 2024 and Adobe Research as a research scientist intern in 2022. Before graduate school, I was also a part of the Digital ART Laboratory at SJTU.

My research focuses on computer graphics, geometric computing and physical simulation, including three key research themes: (1) Delve into an extensive domain within geometric modeling and processing, including automated mesh repairing for game engines, geometry simplification for SVG and vector graphics animation. (2) Bridge the gap between virtual and real-world applications, involving computer-aided shape design and optimization for a simulation purpose and high-fidelity anisotropic fluid simulations. (3) Emphasize the importance of simulation accuracy and efficiency with geometric approaches, such as the adaptive hp-refinements on volumetric meshes for physical simulations.

[New] I'm on the job market in Summer 2025. Feel free to contact me if you know of a position for which I could be a fit.

CV  |  Google Scholar  |  LinkedIn  |  Github  |  ORCID

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News
Feb 2025 Paper “2D Neural Fields with Learned Discontinuities” accepted at Eurographics 2025.
Sep 2024 Completed my Ph.D. thesis proposal! 🎉
Jun 2024 Started my internship at Roblox advised by Derek Liu, Janos Meny, Izak Grguric and Mehdi Rahimzadeh.
Dec 2023 Presented “Bézier Spline Simplification Using Locally Integrated Error” paper at SIGGRAPH Asia 2023 in Sydney.
Aug 2023 Paper “Bézier Spline Simplification Using Locally Integrated Error” accepted at SIGGRAPH Asia 2023.
May 2023 Presented “A Posteriori HP Adaptive FEM Solver for Physical Simulations” at Capital Graphics 2023.
Jul 2022 Presented “Vector Graphics Liquify” at the Dynamic Graphics Project (DGP), University of Toronto.
Jun 2022 Honored to be one of the WiGRAPH's Rising Stars in 2022.
May 2022 Started my internship at Adobe Research advised by Alec Jacobson.
Nov 2021 Passed my Ph.D. depth qualifying exam! 🎉
Sep 2021 Was awarded a DeepMind scholarship by the Department of Computer Science, New York University.
Aug 2020 Paper “Appearance-preserving Tactile Optimization” accepted at SIGGRAPH Asia 2020.
Aug 2020 Paper “An Adaptive Staggered-tilted Grid for Incompressible Flow Simulation” accepted at SIGGRAPH Asia 2020.
Sep 2019 My homepage is built today.


Research ( Show Selected / Show All by Date )

For a complete list of publications, please visit my Google Scholar page. To explore my research by topic, please click the icons below.

2D Graphics

Geometric Processing

Shape Optimization

Physics-Based Simulation

Deep Learning


(*): Equal contribution

2D Neural Fields with Learned Discontinuities
Chenxi Liu, Siqi Wang, Matthew Fisher, Deepali Aneja, Alec Jacobson
[EG 2025]
Computer Graphics Forum (Eurographics 2025)Oral presentation

arXiv | code | paper | project |
Bézier Spline Simplification Using Locally Integrated Error
Siqi Wang, Chenxi Liu, Daniele Panozzo, Denis Zorin, Alec Jacobson
[SA 2023]
SIGGRAPH Asia 2023 Conference Papers Oral presentation

code | paper | slides | video |
Appearance-Preserving Tactile Optimization
Chelsea Tymms, Siqi Wang, Denis Zorin
[SA 2020]
ACM Transactions on Graphics (SIGGRAPH Asia 2020) Oral presentation

code | paper |
An Adaptive Staggered-Tilted Grid for Incompressible Flow Simulation
Yuwei Xiao, Szeyu Chan, Siqi Wang, Bo Zhu, Xubo Yang
[SA 2020]
ACM Transactions on Graphics (SIGGRAPH Asia 2020) Oral presentation

paper | video |
Reconstructing Human Joint Motion with Computational Fabrics
Ruibo Liu, Qijia Shao, Siqi Wang, Christina Ru, Devin Balkcom, Xia Zhou
[UbiComp 19]
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2019 Oral presentation

paper | Featured in NSF "4 Awesome Discoveries This Week" |

Intern Experience
May 2024 - Aug 2024 Roblox Engine (Geometry) Group, San Mateo, CA
Research Intern
May 2022 - Dec 2022 Adobe Research, San Jose, CA
Research Scientist Intern
Teaching
CSCI-GA.3033-018: Geometric Modeling: Teaching Assistant, NYU, Spring 2021.
CSCI-GA.2565-001: Machine Learning: Grader, NYU, Spring 2022.
Service
Conference Reviewer SIGGRAPH Asia 2024
Journal Reviewer IMWUT
Selected Awards
WiGRAPH's (Women in Computer Graphics Research) Rising star (2022)
DeepMind Scholarship (2021)
MacCracken Fellowship, New York University University (2019)
Outstanding Graduates Honor of Shanghai (2019)
Hongyi Scholarship, Undergraduate Research Overseas (2018)
First-class Scholarship of Lee Fushou Fund (2018)
Scholarship of the Temasek Foundation International Leadership Enrichment and Regional Networking Programme (TFI LEaRN) (2017)
First Prize in the Undergraduate Mathematical Contest in Modeling of China (2016)
Award for Outstanding Student Cadres, Shanghai Jiao Tong University (2016)
Academic Excellence Scholarship, Shanghai Jiao Tong University (2016 - 2018)
First-Prize in the High School Students Mathematics Contest (Provincial Prize) (2014)
Visitors

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