Research Areas
Deep Learning, Image Restoration, Computer Vision
Education
2014-2019 Ph.D in Mathematics,National University of Singapore
2010-2014 Bachelor in Mathematics,Peking University
Research experience
2024-present Assistant Professor of Yau Mathematical Sciences Center, Tsinghua University
2020-2023 Postdoctoral Fellow Department of Mathematics,National University of Singapore
Publications
[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.