I am currently an MS student at Brown University, majoring in Computer Science. Research Gate: https://www.researchgate.net/profile/Junyu-Liu-12Google Scholar: https://scholar.google.com/citations?hl=en&user=EiSrD1UAAAAJPersonal Website: https://junyu-liu-nate.github.io/I have interdisciplinary research/project interests and experiences. My main interests lie in the Vision Computing (CG and CV) and Human-Computer-Interaction fields. My work on Computer Graphics centers on geometry processing and simulation. I also lead a series of works on physics-based character control and animation, intersecting with machine learning. For Human-Computer-Interaction, my research/projects focus on (semi-)autonomous vehicles, exploring interactive toolkit designs, privacy protection techniques, and multi-modal statistics predictions.I have graduated as a BS CS student from the University of Nottingham Ningbo China with First Class Honour.
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Research AssistantBrown Visual Computing Aug 2023 - PresentProvidence, Rhode Island, United States -
Graduate Student ResearcherSuccincter Nov 2022 - PresentExploring new designs and practices -
Undergraduate Research ManagerThe University Of Nottingham Ningbo China Sep 2021 - Jun 2023Ningbo, Zhejiang, ChinaI was the Project Manager of the User-Centric Computing Group, a student-independent research group. I mentored four undergraduate students to conduct research, which is a significant part of our group. Our research projects are based on Human-Vehicle Interaction and derive multiple directions, including model customization, driving style characterization, and simulator engine generalization. -
Research InternNew York University Aug 2022 - Jan 2023Worked with Prof. Daniele Panozzo and Prof. Teseo Schneider to conduct a benchmark study on Polyhedral Discretizations for Elliptic PDEs:- Constructed a comprehensive mesh dataset by collecting, categorizing, and handwriting commonlyused polygonal mesh generation and triangulation methods on various domains. - Conducted large-scale comparisons of the performance of traditional FEMs, barycentric FEMs, and VEMs in terms of solving time for linear systems on solving Poisson and Linear Elasticity problems. - The experiment results draw instructive observations in terms of solver categories, PDE selections, mesh quality refinements, and discretization choices. -
Research InternUniversity Of Victoria Jun 2022 - Jan 2023Worked with Prof. Daniele Panozzo and Prof. Teseo Schneider to conduct a benchmark study on Polyhedral Discretizations for Elliptic PDEs:- Constructed a comprehensive mesh dataset by collecting, categorizing and handwriting commonlyused polygonal mesh generation and triangulation methods on various domains. - Conducted large-scale comparisons of the performance of traditional FEMs, barycentric FEMs, and VEMs in terms of solving time for linear systems on solving Poisson and Linear Elasticity problems. - The experiment results draw instructive observations in terms of solver categories, PDE selections, mesh quality refinements, and discretization choices.
Junyu Liu Education Details
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Computer Science -
Computer Science
Frequently Asked Questions about Junyu Liu
What company does Junyu Liu work for?
Junyu Liu works for Brown Visual Computing
What is Junyu Liu's role at the current company?
Junyu Liu's current role is MSCS Student at Brown University.
What schools did Junyu Liu attend?
Junyu Liu attended Brown University, The University Of Nottingham Ningbo China.
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