Quan Zheng

University of Maryland, College Park

About

Quan Zheng was a postdoc researcher in Prof. Matthias Zwicker's laboratory at University of Maryland, College Park. His research centers on visual computing, including efficient high-fidelity rendering, deep learning, sampling and reconstruction, computational imaging, Markov chain Monte Carlo, light transport simulation, etc.

He received Ph.D. degree from Univerisy of Chinese Academy of Sciences in 2017, supervised by Prof. Changwen Zheng. Before that, he received B.Sc. of Computer Science from Dalian University of Technology in 2012. For contact, please send emails to quan.zheng[at]outlook.com.

(Q: How to pronounce ‘Quan Zheng’? A: It sounds like ‘Tsuan Cheng’ in English.)

Recent news

Feb. 2019: Research paper ‘Learning to importance sample in primary sample space’ is accepted to Eurographics 2019.

Selected Publications

Full publications list

Learning to importance sample in primary sample space

Quan Zheng, Matthias Zwicker

Eurographics 2019. (Computer Graphics Forum, vol. 38, no. 2)

Preprint Supplementary

Removing Monte Carlo Noise Using a Sobel Operator and a Guided Image Filter

Yu Liu, Changwen Zheng, Quan Zheng, Hongliang Yuan

The Visual Computer, 2018, vol. 34, no. 4

Preprint PublisherLink

NeuroLens: data-driven camera lens simulation using neural networks

Quan Zheng, Changwen Zheng

Eurographics 2017. (Computer Graphics Forum, vol. 36, no. 8)

Preprint PublisherLink

Adaptive sparse polynomial regression for camera lens simulation

Quan Zheng, Changwen Zheng

Computer Graphics International 2017. (The Visual Computer, vol. 33, no. 6)

Preprint Supplementary PublisherLink

Visual importance-based adaptive photon tracing

Quan Zheng, Changwen Zheng

Computer Graphics International 2015. (The Visual Computer, vol. 31, no. 6)

Preprint PublisherLink