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庞彤瑶

助理教授

单位:清华大学丘成桐数学科学中心

办公地点:双清综合楼B533

电子邮箱:typang(at)tsinghua.edu.cn



研究领域

深度学习,图像恢复,计算机视觉


教育背景

2014-2019 新加坡国立大学,博士

2010-2014 北京大学,学士


科研经历

2024至今 清华大学丘成桐数学科学中心,助理教授

2020-2023 新加坡国立大学,博士后


代表性论文

1. Tongyao Pang, Huan Zheng, Yuhui Quan, Hui Ji. Recorrupted-to-Recorrupted: UnsupervisedDeep Learning for Image Denoising. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021: 2043-2052.

2. Tongyao Pang, Quan Yuhui, Hui Ji. Self-supervised Bayesian Deep Learning for Image

Recovery with Applications to Compressive Sensing. European Conference on Computer Version (ECCV), 2020: 475-491.

3. Tongyao Pang, Zuowei Shen, Sparse Estimation: An MMSE approach. Constructive Approximation, 2023, 57(2): 727-758.

4. Tongyao Pang, Qingna Li, Zaiwen Wen, Zuowei Shen. Phase retrieval: A Data-driven Wavelet Frame Based Approach. Applied and Computational Harmonic Analysis, 2020, 49(3):971-1000.

5. Yuhui Quan, Mingqin Chen, Tongyao Pang, and Hui Ji. Self2Self with Dropout: Learning Self-supervised Denoising from Single Image. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 1890-1898.

6. Huan Zheng, Tongyao Pang, Hui Ji. Unsupervised Deep Learning with Untrained Network for Video Denoising. 37th AAAI Conference on Artificial Intelligence (AAAI), 2023, 37(3):3651-3659.

7. Yuhui Quan, Mingqin Chen, Tongyao Pang, and Hui Ji. Dual-domain Self-supervised Learning and Model Adaption for Deep Compressive Imaging. European Conference on Computer Vision (ECCV), 2022: 409-426.

8. Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji. Siamese Cooperative Learning for Unsupervised Image Reconstruction from Incomplete Measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),online, 2024.

9. Tongyao Pang, Chunlin Wu, Zhifang Liu. A Cubic Spline Penalty for Sparse Approximation under Tight Frame Balanced Model. Advances in Computational Mathematics, 2020, 46: 1-30.

10. Mingqin Chen, Yuhui Quan, Tongyao Pang, Hui Ji. Nonblind image deconvolution via leveraging model uncertainty in an untrained deep neural network. International Journal of Computer Vision, 2022, 130(7): 1770-1789.



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