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2020 – today
- 2024
[j18]Siu-Cheung Kong
, Yi-Qing Wang:
The impact of school support for professional development on teachers' adoption of student-centered pedagogy, students' cognitive learning and abilities: A three-level analysis. Comput. Educ. 215: 105016 (2024)- [j17]Siu-Cheung Kong, Yi-Qing Wang:
Dynamic interplays between self-regulated learning and computational thinking in primary school students through animations and worksheets. Comput. Educ. 220: 105126 (2024) - 2023
- [j16]Siu-Cheung Kong, Yi-Qing Wang:
Monitoring cognitive development through the assessment of computational thinking practices: A longitudinal intervention on primary school students. Comput. Hum. Behav. 145: 107749 (2023) - 2022
- [c6]Yi-Qing Wang, Giovanni Palma:
3D Binary Lesion Mask Parsing. DMIP 2022: 8-12 - [c5]Pedro L. Esquinas, Yen-Fu Luo, Parisa Farzam, Tyler Baldwin, Moshe Raboh, Thomas Binder, Arkadiusz Sitek, Omid Sakhi, Yi-Qing Wang, Sameer Suman, Giovanni Palma, Paul Dufort, Ben Graf:
Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen. ISBI 2022: 1-5 - [c4]Yi-Qing Wang, Giovanni Palma:
Liver Segmentation Quality Control in Multi-sequence MR Studies. MMMI@MICCAI 2022: 54-62 - 2021
- [j15]Siu-Cheung Kong, Yi-Qing Wang:
The influence of parental support and perceived usefulness on students' learning motivation and flow experience in visual programming: Investigation from a parent perspective. Br. J. Educ. Technol. 52(4): 1749-1770 (2021) - [j14]Siu-Cheung Kong, Yi-Qing Wang:
Investigating primary school principals' programming perception and support from the perspective of reasoned action: A mixed methods approach. Comput. Educ. 172: 104267 (2021) - [j13]Siu Cheung Kong, Yi-Qing Wang:
Item response analysis of computational thinking practices: Test characteristics and students' learning abilities in visual programming contexts. Comput. Hum. Behav. 122: 106836 (2021) - 2020
- [j12]Siu-Cheung Kong, Yi-Qing Wang:
Formation of computational identity through computational thinking perspectives development in programming learning: A mediation analysis among primary school students. Comput. Hum. Behav. 106: 106230 (2020) - [c3]Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
Master Your Metrics with Calibration. IDA 2020: 457-469
2010 – 2019
- 2019
- [j11]Siu-Cheung Kong, Yi-Qing Wang:
Positive youth development from a "3Cs" programming perspective: a multi-study investigation in the university. Comput. Sci. Educ. 29(4): 335-356 (2019) - [j10]Siu-Cheung Kong, Yi-Qing Wang:
Nurture interest-driven creators in programmable robotics education: an empirical investigation in primary school settings. Res. Pract. Technol. Enhanc. Learn. 14(1): 20 (2019) - [c2]Siu-Cheung Kong, Yi-Qing Wang, Ming Lai:
Development and Validation of an Instrument for Measuring Digital Empowerment of Primary School Students. CompEd 2019: 172-177 - [i2]Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
Master your Metrics with Calibration. CoRR abs/1909.02827 (2019) - 2018
- [i1]Yi-Qing Wang:
Adversarial confidence and smoothness regularizations for scalable unsupervised discriminative learning. CoRR abs/1806.00919 (2018) - 2017
- [j9]Yi-Qing Wang, Alain Trouvé, Yali Amit, Boaz Nadler:
Detecting Curved Edges in Noisy Images in Sublinear Time. J. Math. Imaging Vis. 59(3): 373-393 (2017) - 2016
- [j8]Yi-Qing Wang:
Small Neural Networks can Denoise Image Textures Well: a Useful Complement to BM3D. Image Process. Line 6: 1-7 (2016) - [j7]Yi-Qing Wang:
A Note on the Size of Denoising Neural Networks. SIAM J. Imaging Sci. 9(1): 275-286 (2016) - 2015
- [j6]Yi-Qing Wang, Nicolas Limare:
A Fast C++ Implementation of Neural Network Backpropagation Training Algorithm: Application to Bayesian Optimal Image Demosaicing. Image Process. Line 5: 257-266 (2015) - 2014
- [j5]Yi-Qing Wang:
An Analysis of the Viola-Jones Face Detection Algorithm. Image Process. Line 4: 128-148 (2014) - [j4]Yi-Qing Wang, Jean-Michel Morel:
Can a Single Image Denoising Neural Network Handle All Levels of Gaussian Noise? IEEE Signal Process. Lett. 21(9): 1150-1153 (2014) - [c1]Yi-Qing Wang:
A multilayer neural network for image demosaicking. ICIP 2014: 1852-1856 - 2013
- [j3]Yi-Qing Wang:
The Implementation of SURE Guided Piecewise Linear Image Denoising. Image Process. Line 3: 43-67 (2013) - [j2]Yi-Qing Wang:
E-PLE: an Algorithm for Image Inpainting. Image Process. Line 3: 271-285 (2013) - [j1]Yi-Qing Wang, Jean-Michel Morel:
SURE Guided Gaussian Mixture Image Denoising. SIAM J. Imaging Sci. 6(2): 999-1034 (2013)
Coauthor Index
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last updated on 2024-09-10 01:12 CEST by the dblp team
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