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

Yiwei Hu, Yazhen Yuan, Rui Wang, Zhuo Yang, Hujun Bao (2022). Multirate Shading with Piecewise Interpolatory Approximation. Computer Graphics Forum, Proc. of Pacific Graphics (PG 2022).

PDF Project

Yiwei Hu, Paul Guerrero, Miloš Hašan, Holly Rushmeier, Valentin Deschaintre (2022). Node Graph Optimization Using Differentiable Proxies. SIGGRAPH 2022.

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Yiwei Hu, Miloš Hašan, Paul Guerrero, Holly Rushmeier, Valentin Deschaintre (2022). Controlling Material Appearance by Examples. Computer Graphics Forum, Proc. of Eurographics Symposium on Rendering (EGSR 2022).

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Yiwei Hu, Chengan He, Valentin Deschaintre, Julie Dorsey, Holly Rushmeier (2022). An Inverse Procedural Modeling Pipeline for SVBRDF Maps. ACM Transactions on Graphics (Presented at SIGGRAPH 2022).

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Yiwei Hu, Julie Dorsey, Holly Rushmeier (2019). A Novel Framework for Inverse Procedural Texture Modeling. ACM Transactions on Graphics (SIGGRAPH AISA 2019).

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Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li (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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