Publications

^* indicates corresponding author; ^# equally contributed

Preprints/Submitted

[45] GB Rehm, C. Wang, I Cortes-Puch, CN Chuah, J Adams. Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? arXiv preprint arXiv:2109.12323.

Accepted/Published

[45] J. Zhang, C. Yi, M. Ma, M. He, C. Wang^* “Low-rankness and smoothness meet subspace: a unified tensor regularization for hyperspectral image super-resolution. “Signal Processing 2026.

[44] Y. Wu, R. He^*, Q. Ding, X. Zhang, C. Wang^* “Robust dynamic SPECT reconstruction with scarce angular and limited temporal sampling.” Journal of Mathematical Imaging and Vision 2026 (to appear)

[43] J. Cai, H. Liu, Z. Su,C. Wang^* “Improving classifier-free guidance of flow matching via manifold projection.” The International Conference on Machine Learning (ICML) 2026.

[42] Y. Li, W. Gong, Q. Wang, C. Wang^*, L. Yang^*. “3DeepRep: 3D deep low-rank tensor representation for hyperspectral image inpainting.” Neurocomputing 2026

[41] Y. Xu, J. Ke, Y. Wen, C. Wang^*. “Reparameterized tensor ring functional decomposition for multi-dimensional data recovery.” The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 (to appear)

[40] J. Ke, Y. Xu, C. Wang, Y. Wen. “Content-aware frequency encoding for implicit neural representations with Fourier-Chebyshev features.” The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 (to appear)

[39] Y. Zeng, X. Zhao, W. Wu, T. Ji, C. Wang. “Gaussian splatting-based low-rank tensor representation for multi-dimensional image recovery.” The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 (to appear)

[38] T. Wang, Z. Yan, H. Pan, K. Zhang, M. Ng, X. Yu^*, C. Wang^*, J. Li^*. “Data-driven deformation correction in X-ray spectro-tomography with implicit neural networks.” Patterns (Cell Press)

[37] C. Wang, H. Zheng, R. Chan, Y. Wen^*. “Variational Bayesian inference for tensor robust principal component analysis.” SIAM Journal on Scientific Computing (to appear)

[36] T. Li, T. Wang, X. Zhao, C. Wang^*, “LoR-SGS: hyperspectral image compression via low-rank spectral Gaussian splatting.” IEEE Transactions on Geoscience and Remote Sensing, 2025.

[35] T. Wang^#, Z. Yan^#, J. Li, X. Zhao, C. Wang^*, M. Ng. “Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations.” International Journal of Computer Vision, 2025 https://doi.org/10.1007/s11263-025-02540-1

[34] M. Lu, Z. Ao, C. Wang^*, S. Prasad, R. Chan. PiLocNet: Physics-informed neural network on 3D localization with rotating point spread function Applied Optics, 2025 (18), 5139-5148.

[33] H. Zheng, Y. Lou, G. Tian, C. Wang*. “Tensor robust principal component analysis via the tensor nuclear over Frobenius norm”. Journal of Scientific Computing, 104, 26, 2025.

[32] C. Wang, JF. Aujol, G. Gilboa, Y. Lou^*. “Minimizing quotient regularization model.” Inverse Problems and Imaging. 2025.

[31] S. Niu^#, L. Lin^#, J. Huang, C. Wang^*. “OwMatch: conditional self-labeling with consistency for open-world semi-supervised learning.” Neural Information Processing Systems (NeurIPS), 2024.

[30] J. Li, X. Zhao^*, J. Wang, C. Wang, M. Wang. “Superpixel-informed implicit neural representation for multi-dimensional data.” European Conference on Computer Vision (ECCV) 2024.

[29] M. Chowdhury^*, C. Wang, Y. Lou. “Poissonian image restoration via the L1/L2-based minimization.” Journal of Scientific Computing, 101:17, 2024.

[28] G. Li, Z, Tu, J. Lu, C. Wang, L. Shen. “Multi-dimensional image recovery via self-supervised nonlinear transform based a three-directional tensor nuclear norm.” Numerical Mathematics: Theory, Methods and Applications, 17(3), 727-750, 2024.

[27] L. Luo, Z. Tu, J. Lu^*, C. Wang, C. Xu. “A nonlinear high-order transformations-based method for high-order tensor completion.” Signal Processing, 109514, 2024.

[26] J. Lu, J. Zhang, C. Wang, C. Deng. “Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm.” Signal Processing, 220, 109449, 2024.

[25] C. Wang^*, M. Yan, J. Yu. “Sorted L1/L2 minimization for sparse signal recovery.” Journal of Scientific Computing, 99(32),2024.

[24] H. Zheng, Y. Lou, G. Tian, C. Wang^*. “A scale-invariant relaxation in low-rank tensor recovery with an application to tensor completion.” SIAM Journal on Imaging Sciences 17(1),756-783, 2024.

[23] T. Wang, J. Li, M. Ng, C. Wang^*. “Nonnegative matrix functional factorization for hyperspectral unmixing with non-uniform spectral sampling.” IEEE Transactions on Geoscience and Remote Sensing 62, 1-13, 2024.

[22] T. Wang, X. Wu, J. Li, C. Wang^*. “Robust retrieval of material chemical states in X-ray microspectroscopy.” Optics Express, 31(25), 42524-42538, 2023. code

[21] L. Dai, M. Lu, C. Wang^*, S. Prasad, R. Chan^*. “LocNet: deep learning-based localization on rotating point spread function with applications to telescope imaging.” Optics Express. 31(24), 39341-39355, 2023.

[20] J. Zhang, J. Lu, C. Wang, S. Li*. “Hyperspectral and multispectral image fusion via superpixel-based weighted nuclear norm minimization.” IEEE Transactions on Geoscience and Remote Sensing. 5521612. 2023.

[19] J. Yang, M. Ma, J. Zhang, C. Wang^*. “Noise removal using an adaptive Euler’s elastica-based model.” the Visual Computing 1-12. 2022.

[18] Z. Lai, C. Wang^#, H. Gunawan, SC. Cheung, CN. Chuah. “Smoothed adaptive weighting for imbalanced semi-supervised learning: improve reliability against unknown distribution.” The International Conference on Machine Learning (ICML). 2022.

[17] D. Sprouts, Y. Gao, C. Wang, X. Jia, C. Shen, Y. Chi “The development of a deep reinforcement Learning network for dose-volume-constrained treatment planning in prostate cancer intensity modulated radiotherapy.” Biomedical Physics & Engineering Express. 2022.

[16] Z. Lai, C. Wang^#, SC. Cheung, CN. Chuah. “SaR: self-adaptive refinement on pseudo labels for multiclass-imbalanced semi-supervised learning.” The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) workshop, 2022.

[15] C. Wang, M. Tao, CN. Chuah, J. Nagy, and Y. Lou^*. “Minimizing L1 over L2 norms on the gradient.” Inverse Problems. 39 065011, 2022. code

[14] C. Wang, H. Jung, M. Yang, C. Shen, X. Jia^*, “Simultaneous image reconstruction and element decomposition for iodine contrast agent visualization in multi-energy element-resolved cone beam CT.” Frontiers in Oncology, 2022.

[13] Z. Lai^*, C. Wang^#, L. Oliveira, B. Dugger, SC. Cheung, CN. Chuah, “Joint semi-supervised and active learning for segmentation of gigapixel pathology images with cost-effective labeling.” Proceedings of the IEEE/CVF International Conference on Computer Vision, 591-600, 2021.

[12] Z. Lai^*, C. Wang, Z. Hu, B. Dugger, SC. Cheung, CN. Chuah, “A semi-supervised learning for segmentation of gigapixel histopathology images from brain tissues.” International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.

[11]C. Wang^*, M. Tao, J. Nagy, and Y. Lou. “Limited-angle CT reconstruction via the L1/L2 minimization.” SIAM Journal on Imaging Sciences. 14(2), 749–777，2021. code

[10] C. Wang^*, R.H. Chan, R.J. Plemmons, and S. Prasad, “Point spread function engineering for 3D imaging using a continuous exact L0 penalty (CEL0) based algorithm.” Mathematical Methods in Image Processing and Inverse Problems, Springer, 2021.

[9] C. Wang, M. Yan, and Y. Lou^*. “Accelerated schemes for the L1/L2 Minimization.” IEEE Transaction on Signal Processing,68, 2660 – 2669,2020.

[8] C. Wang, Y. Gonzalez, C. Shen, B. Hrycushko, and X. Jia^*. “Simultaneous needle catheter selection and dwell time optimization for preplanning of HDR brachytherapy of prostate cancer.” Physics in Medicine & Biology (66),055028, 2021.

[7] C. Wang, Y. Gonzalez, C. Shen, and X. Jia^* “Simultaneous needle selection and dwell time optimization in prostate cancer high-dose-rate brachytherapy.” Medical Physics 47 (6), E367-E367, 2020.

[6] Y. Huang, Y. Zhong, C. Wang, Y. Gonzalez, C. Shen, and X. Jia^*. “Comprehensive calibration and evaluation of a cone-beam CT on a pre-clinical small animal radiation research platform.” Medical Physics 47 (6), E731-E731, 2020.

[5] Y. Rahimi, C. Wang^*, H. Dong, and Y. Lou. “A scale invariant approach for sparse signal recovery.” SIAM Journal on Scientific Computing, 41(6), A3649–A3672, 2019.

[4] C. Wang^*, G. Ballad, R.J. Plemmons, and S. Prasad “Joint 3D localization and classification of space debris using a multispectral rotating point spread function.” Applied Optics, 58, 8598-8611, 2019.

[3] C. Wang^*, R.H. Chan, M. Nikolova, R.J. Plemmons, and S. Prasad. “Non-convex optimization for 3-dimensional point source localization using a rotating point spread function .” SIAM Journal on Imaging Sciences, 12(1):259–286, 2019.

[2] C. Wang^*, R.J. Plemmons, S. Prasad, R.H. Chan, and M. Nikolova. “Novel sparse recovery algorithms for 3D debris localization using rotating point spread function imagery.” In Proc. 2018 AMOS Technical Conference, Maui, HI. 2018.

[1] X. Fang, F. Lin, and C. Wang^*. “Estimation of a regularization parameter for a Robin inverse problem.” East Asian Journal on Applied Mathematics, 7(2) 325-342, 2017.

Dissertation

C. Wang. “Sparse Recovery Algorithms for 3D Imaging Using Point Spread Function Engineering.” Ph.D. Thesis. Department of Mathematics The Chinese University of Hong Kong, Hong Kong, 2018.