Publications

^* indicates corresponding author; ^# equally contributed

Preprints/Submitted

[21] L. Dai, M. Lu, C. Wang^*, S. Prasad, R. Chan^*. “Three dimensional localization of space debris using deep learning-based PSF engineering” submitted to International Conference on Image Processing (ICIP)

[20] 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

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

[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). (to appear) 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. (to appear), 2022. See Link.

[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, (to appear), 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. PDF

[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. PDF

[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. PDF

[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. PDF

[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. PDF

[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. PDF

[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. Link

[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. PDF

[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. PDF

[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. PDF

[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. PDF

[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. PDF

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, 2015. PDF