Academic Profile : Faculty

ying.zhu_1_1.jpg picture
Dr Zhu Ying
Education Research Scientist, Office of Education Research
Research Scientist, National Institute of Education - Office of Education Research
Journal Articles (Central)
Soh, C.G. & Zhu, Y. (2022). A Sparse Fused Group Lasso Regression Model for Fourier-transform Infrared Spectroscopic Data with Application to Purity Prediction in Olive Oil Blends. Chemometrics and Intelligent Laboratory Systems, 224, 104530-1-11.

Zhu, Y., Zou, L., & Tan, T.L. (2021). A clu stering group lasso method for quantification of adulteration in black cumin seed oil using fourier transform infrared spectroscopy. Chemometrics and Intelligent Laboratory Systems, 220, 104471-1-11.

Toh, T.L., Toh, P.C., Teo, K.M., Zhu, Y. (2021). A study of pre-service teachers' performan ce on two calculus tasks on differentiation and limit. European Journal of Mathematics and Science Education, 1(1), 1-13.

Zhu, Y., Fearn, T., Chicken, D.W., Austwick, M.R., Somasundaram, S.K., Mosse, C.A., Clark, B., Bigio, I.J., Keshtgar, M.R.S., & Bown, S.G. (2018). Elastic scattering spe ctroscopy for early detection of breast cancer: partially supervised Bayesian image classification of scanned sentinel lymph nodes. Journal of Biomedical Optics, 23(8), 085004-1-9.

Zhu,Y., Tan,T.L., & Cheang,W.K. (2017). Penalized logistic regression for classification and feature selection with its application to detection of two official species of Ganoderma. Chemometrics and Intelligent Laboratory Systems, 171, 55-64.

Zhu, Y. and Tan, T.L. (2016). Penalized Discrimination Analysis for the Detection of Wild-grown and Cultivated Ganoderma Lucidum Using Fourier Transform Infr ared Spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 159, 68-77.

Austwick,M., Clark,B., Mosse,C.A., Johnson,K., Chicken,W., Somasundaram,S., Zhu,Y., Falzon,M., Kocjan,G., Fearn,T., Bown,S.G., Bigio,I.J., & Keshtgar,M. (2010). Scanning Elastic Scattering Sp ectroscopy detects metastatic breast cancer in sentinel lymph nodes. Journal of Biomedical Optics, 15(4), 047001.

Keshtgar,M., Chicken,W., Auswick,M., Somasundaram,S., Mosse,C.A., Zhu,Y., Bigio,I.J., & Bown,S.G. (2010). Optical scanning for rapid intraoperative diagnosis of sentinel node me tastases in breast cancer. British Journal of Surgery, 97(8), 1232-1239.

Zhu,Y., Fearn,T., Mackenzie,G., Clark,B., Dunn,J.M., Bigio,I.J., Bown,S.G., & Lovat,L.B. (2009). Elastic scattering spectroscopy for detection of cancer risk in Barrett's oesophagus: experimental and clinical validatio n of error removal by orthogonal subtraction (EROS) for increasing the accuracy. Journal of Biomedical Optics, 14(4), 044022-1-7.

Zhu,Y., Fearn,T., Samuel,D., Dhar,A., Hameed,O., Bown,S.G., & Lovat,L.B. (2008). Error removal by orthogonal subtraction (EROS): a customised pre-treatment for s pectroscopic data. Journal of Chemometrics, 22, 130-134.

Books (Central)
Zhu,Y. (2014). Wisdom in Statistics (PP. 203). Shanghai: Fudan University Press.

Book Chapters (Central)
Pang, Y. P., Zhu, Y, & Sultan, K. (2020). Realising constructivist learning design in the teaching of gradients of curve. In Lee, N.H., Seto, C., Rahim, R.A., & Tan, L.S. (Eds.), Mathematics teaching in Singapore Vol. 1: Theory-informed practices(PP. 153-172). Singapore: Singapore: World Sci entific.

Zhu,Y. (2019). On characteristics of statistical thinking. In T.L. Toh, & J.B.W. Yeo (Eds.), Big ideas in mathematics(PP. 29-45). Singapore: Singapore: World Scientific.

Kaur, B., Zhu, Y. & Cheang, W.K. (2019). Singapore's participation in international benchmark studies - TIMSS, PISA and TEDS-M. In T.L. Toh, B. Kaur & E.G. Tay (Eds.), Mathematics Education in Singapore(PP. 101-137). Singapore: Springer.

 
Conference Papers (Central)
Conference Papers Published in Proceedings

Zhu. Y., & Tan, T.L. (2020, November). A finite mixture model for geographical origin discrimination of Ganoderma Lucidum using FTIR spectroscopy. Proceedings of the 8th China Near Infrared Spectroscopy Conference, 1, 1-2.

Zhu,Y., & Soh,C. G. (2020, February). A regularized Gaussian mixture model for medical image classification. Proceedings of the 7th Asian Near Infrared Symposium, 1, 104-105.

Zhu,Y., & Tan,T.L. (2019, September). Grouped-lasso logistic regression for geographical origin discrimination of Ganoderma lucidum using Fourier transform infrared spectroscopy. Proceedings of the 19th International Council for NIR Spectroscopy (ICNIRS) Conference, 1, #7815.

Zhu,Y., Tan,T.L., & Cheang,W.K. (2016, December). Classification and Feature Selection with its Application to Detection of Ch inese Herbal Medicine. Proceedings of the 5th Asian Near Infrared Symposium, 1, 99-100.

Zhu,Y. & Tan,T.L. (2014, July). 'Wavelength selection for discrimination between wild and cultivated Ganoderma lucidum by Fourier transform infrared spectroscopy'. In null (Ed.), Pr oceedings of the 4th Asian Near Infrared Symposium, 1, 99-100.

Zhu,Y. & Tan,T.L. (2012, May). Discriminating between wild-grown and cultivated Ganoderma lucidum by Fourier transform infrared spectroscopy and chemometric methods. In null (Ed.), Proceedings of the 3rd Asian Near Infrared Symposium, 1, 48-49.



Conference Papers Without Proceedings

Toh, P. C., Toh, T. L., Zhu, Y., & Teo, K. M. (2019, July). Understanding Students' Conceptual Understanding of Continuity and Differentiability. Paper presented at 42nd Annual Conference of the Mathem atics Education Research Group of Australasia, Perth, Australia.

Zhu.Y, & Tan, T.L. (2019, June). A multi-group classification method with its application to geographical origin discrimination of herbal medicines. Paper presented at ICSA 2019 Applied Statistics Symposium, Raleigh, United States.

Toh, P. C., Zhu, Y., & Toh, T. L. (2018, November). Mathematics Undergraduates' Understanding of Calculus. Paper presented at 11th International Conference on Mathematics and Mathematics Education in Developing Countries, Vientiane, Laos.

Zhu,Y., Zou,L., Tan,T.L., & Cheang W.K. (2018, June). A clustering group lasso method for authentication of medicinal oil using Fourier transform infrared spectroscopy.. Paper presented at The 5th Asian Near Infrared Symposium, Kunming, China.

Zhu,Y. (2018, June). A regularized model-based clus tering method for image classification.. Paper presented at The 2nd International Conference on Econometrics and Statistics (EcoSta 2018), Hong Kong, Hong Kong (China).

Zhu,Y. (2018, May). Selected Topics on Ideas of Statistics.. Paper presented at The Mathematics Tea chers Conference 2018 (Big Ideas in Mathematics), Singapore.

Zhu,Y. (2017, December). A group lasso-based method with its application to biomedical spectroscopic data. Paper presented at The 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), London, United Kingdom.

Ho, W. K., Teo, K. M., Zhao D., Yap, R. A. S., Tay E. G., Toh, P. C., Toh, T. L., Cheang, W. K., Zhu, Y., Dong, F., Shutler, P. M. E., & Quek, K. S. (2017, July). Reading mathematics: A holistic curriculum approach. Paper presented at Psychology of Mathematics Education 41, Singapore.

Zhu,Y.,Tan,T.L.,& Cheang,W.K. (2017, June). Regularized classification with its application to biomedical spectroscopic data. Paper presented at The 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong, Hong Kong (China).

Zhu,Y. (2016, December). Functional data analysis with its application to discrimination of Chinese herbal medicine. Paper presented at The 9th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2016), Seville, Spain.

Zhu,Y. & Tan,T.L. (2015, December). Penalized feature selection method with its application of detection of herbal medicine. Paper presented at The 8th International Conference on Computational and Methodo logical Statistics (CMStatistics 2015), London, United Kingdom.

Zhu,Y. & Tan,T.L. (2015, June). Penalized discrimination analysis with application to detection of wild-grown Ganoderma lucidum. Paper presented at 15th International Conference on Chemometrics, Changsha, Chi na.

Zhu,Y., Fearn,T. and Bown S.G. (2014, July). A discriminant dimension reduction method for image classification.. Paper presented at The 3rd Institute of Mathematical Statistics Asian Pacific Rim Meeting, Taipei, Taiwan.

Zhu Y., Fearn T., & Bown S.G. (2013, December ). A two-stage Bayesian image classification model.. Paper presented at The 9th International Chinese Statistics Association (ICSA) Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data, Hong Kong, Hong Kong (China).

Zhu,Y., Fearn,T., & Bown,S.G. (2011, S eptember). A Bayesian image classification model for diagnosis of sentinel lymph node metastases in breast cancer.. Paper presented at Second Singapore Conference on Statistical Science, Singapore.

Zhu,Y.,Fearn,T.& Lovat,L. (2009, May). Spectral wavelength selection to differentiate squamous from columnar mucosa in the oesophagus with application to capsule endoscopy image detection. Paper presented at Given Imaging Translational Research and Development in Gastrointestinal Diagnosis Symposium, Yokneam, Israel.

Zhu,Y., Fearn,T., Mackenzie,G., Austwick,M.R., Bown,S.G., & Lovat,L. (2008, September). Multivariate Analysis for Gastrointestinal Cancer Risk. Paper presented at The Network for Translational Research in Optical Imaging (NTROI) Annual Symposium, Boston, United States.

Zhu,Y., Fearn,T., Bown,S.G. (2007, June). Scanned Sentinel Lymph Node Biopsy Image Classification Using Markov Random Field Model and Classification EM algorithm. Paper presented at The 13th International Conference on Near Infrared Spectroscopy (13th ICNIRS), Umea, Sweden.

Zhu,Y., Mackenzie,G.D., Yong,M., Novelli,M.R., Thorpe,S.M., Bown,S.G. & Lovat,L.B. (2007, March). Elastic Scattering Spectroscopy (ESS) to identify high risk patients in Barrett's Oesophagus for Photodynamic therapy.. Paper presented at The 11th World Congress of the International Photodynamic Association (IPA), Shanghai, China.

Zhu,Y., Fearn,T., Chicken,W., Keshtgar,M., Lovat,L., & Bown,S.G. (2006, September). Elastic Scattering Spectroscopy for Early Detection of Breast Cancer: Scanned Sentinel Lymph Node Biopsy.. Paper presented at The Network for Translational Research in Optical Imaging (NTROI) Annual Symposium Meeting, London, United Kingdom.

Zhu,Y.,F earn,T. (2006, August). Elastic Scattering Spectroscopy for Detection of Cancer Risk: Removing Experimental Error.. Paper presented at The 13th International Diffuse Reflectance Conference (IDRC), Pennsylvania, United States.

Zhu,Y.,Fearn,T.,Bown,S.G.,& Lovat,L. (2005, September). Optica l Biopsy Spectral Preprocessing Methods.. Paper presented at The Network for Translational Research in Optical Imaging (NTROI) Annual Symposium Meeting, Boston, United States.

 
Keynote Speeches & Editorship of Special Issues (Central)




Keynote Addresses

Zhu,Y. (2019, June). Mathematics Teachers Conference 2019 --Mathematics ' Connections and Beyond. KEYNOTE ADDRESS, Making Statistical Connection, Singapore.

Zhu, Y., Tan, T.L., & Cheang, W.K. (2017, September). The 2017 JCNIRS and TAMRDC Joint NIR sympos ium. KEYNOTE ADDRESS, Feature selection and classification for detection of Chinese herbal medicine using FTIR spectroscopy, Taipei, Taiwan.

Zhu,Y., Tan, T.L., & Cheang, W.K. (2016, December). The 5th Asian Near Infrared Symposium. KEYNOTE ADDRESS, Classification and Feature Selection w ith its Application to Detection of Chinese Herbal Medicine, Kagoshima, Japan.

Other Research Outputs/Projects (Central)










Technical Reports or Monographs

Lee, N.H., Chua, L.C., Kapur, M., Lam, R.J., Zhu, Y., & Yeo, D. (2018, January). Translating Productive Failure in the Singapore A-level Statistics Cu rriculum. (NIE Research Brief Series No. 18-024)., 2.

Zhu,Y., Fearn,T., Chicken,W., Austwick,W., Somasundaram S., Clark,B., Mosse,C.A., Bigio,I.J., Keshtgar,M. & Bown,S.G. (2015, February). Two-stage Bayesian Image Classification of Scanned Sentinel Lymph Nodes for Early Detection of Breast C ancer, 19.

Zhu,Y.,Fearn,T. & Bown S.G. (2015, February). A partially supervised Bayesian image classification model for elastic scattering spectroscopic image data, 31.