计算机图形学，三维计算机视觉，计算成像，人工智能

欢迎相关专业(包括且不限于AI、CS、SE、CE等)的学生报名。

081200-计算机科学与技术，085405-软件工程，083500-软件工程，081203-计算机应用技术

​计算机图形学，三维计算机视觉，计算摄像

2012-09--2017-07   中国科学院大学   博士学位
2008-09--2012-06   大连理工大学   学士学位

2021-11~现在, 中国科学院软件研究所, 副研究员
2019-10~2021-10,德国马克斯普朗克计算机科学研究所, 研究科学家
2017-10~2019-10,美国马里兰大学, 博士后

2023-04~今，中国图像图形学会三维视觉专委会，委员

2023-11~今，系统仿真学报，青年编委，青年副主编

2026-01~今，中国仿真学会复杂系统建模与仿真专委会，委员

[1] P. Wu, H. Weng, Q. Zheng*, Y. Zhan, et al. CLIP-Guided Unsupervised Semantic-Aware Exposure Correction. The Fifty-First International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026.

[2] X. Wang, Q. Zheng. LightLLIE: Lightweight Low-Light Image Enhancement via Dual Attention and Re-parameterization. 2025 International Joint Conference on Neural Networks (IJCNN), 2025.

[3] X. Wang, Q. Zheng. Revitalize Supervised Low-Light Image Enhancer: Learning Source-free Fast Scene Adaptation. The Twenty-First International Conference on Intelligent Computing (ICIC), 2025.

[4] S. Zhang, Y. Zhang, Q. Zheng, R. Ma, et al. 3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[5] B. Wang, F. Xu, Q. Zheng. A Survey on Facial Image Deblurring. Computational Visual Media, 10(1), 2024.

[6] S. Cui, B. Wang, Q. Zheng. Neural Invertible Variable-degree Optical Aberrations Correction. Optics Express, 31(9), 2023.

[7] S. Cui, F. Xu, X. Tang, Q. Zheng. Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. International Joint Conference on Neural Networks, 2023.

[8] Y. Xia, F. Xu, Q. Zheng. Zero-Shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation. International Joint Conference on Neural Networks, 2023.

[9] X. Su, Y. Lin, Q. Zheng, F. Wu, et al. GSGAN: Learning Controllable Geospatial Images Generation. IET Image Processing, 17(2), 2022.

[10] M. Chu, L. Liu, Q. Zheng, E. Franz, et al. Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. ACM Transactions on Graphics (TOG), 41(4), SIGGRAPH 2022.

[11] Q. Zheng, G. Singh, H.-P. Seidel. Neural Relightable Participating Media Rendering. The Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.

[12] Q. Zheng, V. Babaei, G. Wetzstein, H.-P. Seidel. Neural Light Field 3D Printing. ACM Transactions on Graphics (TOG), 39(6), SIGGRAPH Asia 2020.

[13] X. Meng, Q. Zheng, A. Varshney, G. Singh, et al. Real-time Monte Carlo Denoising with the Neural Bilateral Grid. The Thirty-First Eurographics Symposium on Rendering (EGSR), 2020.

[14] Q. Zheng, M. Zwicker. Learning to Importance Sample in Primary Sample Space. Computer Graphics Forum (CGF), 2019, 38(2), Eurographics 2019.

[15] Y. Liu, C. Zheng, Q. Zheng, H. Yuan. Removing Monte Carlo Noise Using a Sobel Operator and a Guided Image Filter. The Visual Computer, 34(4), 2018.

[16] Y. Cheng, Q. Zheng, J. Peng, P. Lv, et al. Optical simulation of flying targets using physically based renderer. The Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2018.

[17] Q. Zheng, C. Zheng. NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Computer Graphics Forum (CGF), 36(8), Eurographics 2017.

[18] Q. Zheng, C. Zheng. Adaptive Sparse Polynomial Regression for Camera Lens Simulation. The Visual Computer, 33(6), 2017.

[19] H. Yuan, C. Zheng, Q. Zheng, Y. Liu. Adaptive Rendering Based on Adaptive Order Selection. The Twelfth International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017.

[20] Q. Zheng, C. Zheng. Adaptive Light Paths Generation through Full Lens Model. The Twelfth International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2016.

[21] Q. Zheng, C. Zheng. Visual Importance-Based Adaptive Photon Tracing. The Visual Computer, 31(6), 2015.

[22] Q. Zheng, C. Zheng. Photon shooting with programmable scalar contribution function. The Eighth International Conference on Image and Graphics, 2015.

[23] Q. Zheng, C. Zheng. 视点重要度驱动的自适应光子追踪. 计算机辅助设计与图形学学报, 27(12), 2015.

[24] Q. Zheng, C. Zheng, et al. 镜头重影效果的真实感绘制. 计算机辅助设计与图形学学报, 27(5), 2015.

（1）光学成像效果绘制，科学出版社，2024-01，第2作者

   

王惜    硕士研究生 081200-计算机科学与技术

​张永乐 硕士研究生 085405-软件工程

汪宇豪 硕士研究生 081200-计算机科学与技术