Publications

^* indicates corresponding author; ^# equally contributed

Preprints/Submitted

[28] C. Wang, JF. Aujol, G. Gilboa, Y. Lou^*. Minimizing Quotient Regularization Model arXiv preprint arXiv:2308.04095.

[27] 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

[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. [ArXiv] [Book]

[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.