Yiwei Hu

Yiwei Hu

Ph.D. Candidate

Yale University

Biography

I am a final-year Ph.D student in Computer Graphics Group at Yale University advised by Prof. Holly Rushmeier and Prof. Julie Dorsey. My current research focuses on material appearance modeling and rendering. Prior to Yale, I received my bachelor’s degree in the Computer Science Department at Zhejiang University.

I interned at Adobe Research, London Lab working with Valentin Deschaintre, and also at Meta (Facebook) Reality Lab with Chakravarty R. Alla Chaitanya. During my undergraduate study, I was a research assistant advised by Prof. Rui Wang working on GPU pipeline optimization.

Besides graphics, I was a visiting research scholar at Harvard Medical School supervised by Prof. Quanzheng Li, working on medical image processing.

I will be joining Adobe Research as a Research Scientist this summer and I am looking for PhD students for the 2023 Adobe internship program. Feel free to drop me an email if you are interested.
Interests
  • Computer Graphics
  • Computer Vision
  • Artificial Intelligence
Education
  • PhD in Computer Graphics, Current

    Yale University

  • BSc in Computer Science, 2018

    Zhejiang University

Publications

(2022). Multirate Shading with Piecewise Interpolatory Approximation. Computer Graphics Forum, Proc. of Pacific Graphics (PG 2022).

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(2022). Node Graph Optimization Using Differentiable Proxies. SIGGRAPH 2022.

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(2022). Controlling Material Appearance by Examples. Computer Graphics Forum, Proc. of Eurographics Symposium on Rendering (EGSR 2022).

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(2022). An Inverse Procedural Modeling Pipeline for SVBRDF Maps. ACM Transactions on Graphics (Presented at SIGGRAPH 2022).

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(2019). A Novel Framework for Inverse Procedural Texture Modeling. ACM Transactions on Graphics (SIGGRAPH AISA 2019).

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(2019). Novel Radiomic Features Based on Graph Theory for PET Image Analysis. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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