Talks

  1. Outlier Detection in Large-scale Traffic Data by Naïve Bayes Method and Gaussian Mixture Model Method, IS&T International Symposium on Electronic Imaging, Burlingame, California, USA, 1 Feb, 2017.
  2. Weaving Pattern Recognition of Ancient Chinese Textiles by Regular Bands Analysis, IS&T International Symposium on Electronic Imaging, Burlingame, California, USA, 1 Feb, 2017.
  3. Recent Inspection Techniques on Imaging and Data Science for Complex Data Analysis, School of Mathematics and Statistics, UNSW, Australia, 9 Dec, 2016.
  4. Automatic Incident Classification for Big Traffic Data by Adaptive Boosting SVM, (1) Joint Fudan-HKBU Workshop on Data Science 2016, Fudan University, China 5 May, 2016, (2)  School of Electrical and Information Engineering, The University of Sydney, Australia, 30 June, 2016, (3) School of Information and Communication Technology, Griffith University, Gold Coast, Australia, 6 July, 2016, (4) School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 7 July, 2016.
  5. Modulo-k Clustering based Outlier Detection for Large-scale Traffic Data, IEEE ICITA, 3 July, 2016, Hilton Hotel Sydney, Australia.
  6. Validation of a Novel Geometric Coordination Registration using Manual and Semi-automatic Methods in Cone-beam Computed Tomogram, IS&T International Symposium on Electronic Imaging 2016, Hilton San Francisco, U.S., 17 Feb, 2016.
  7. Density based Outlier Detection by Local Outlier Factor on Large-Scale Traffic Data, IS&T International Symposium on Electronic Imaging 2016, Hilton San Francisco, U.S., 18 Feb, 2016.
  8. Image Calibration and Registration in Cone-beam Computed Tomogram for Measuring the Accuracy of Computer-aided Implant Surgery:   IS&T/SPIE Electronic Imaging 2015, Hilton San Francisco, U.S., 10 Feb, 2015
  9. A Comparative Study of Outlier Detection for Large-scale Traffic Data by One-class SVM and Kernel Density Estimation:  (1) IS&T/SPIE Electronic Imaging 2015, Hilton San Francisco, U.S., 11 Feb, 2015, (2) Joint Fudan-HKBU Workshop on Data Science, 13 May, 2015, (3) Int’l Workshop on Computational Science and Engineering, Nagoya University, Japan, 23 May, 2015; (4) Workshop on Applied Mathematics and Education between Tunghai University and HKBU, Tunghai University, Taiwan, 28 May, 2015.
  10. Comparison of Various Outlier Detections in Traffic Data: Shenzhen Virtual University Park, IRACE, Hong Kong Baptist University, 29 Oct, 2014.
  11. Outlier Detection in Large-scale Traffic Data:  Center for Mathematical Imaging and Vision Seminar,  Department of Mathematics, Hong Kong Baptist University, 26 Aug, 2014
  12. Recent Pattern Recognition Applications on Automation, Social Signal Processing, Visual Surveillance and Intelligent Transportation Systems: (1) School of Computing, National University of Singapore, 28 Jun, 2013, (2) Department of Mathematics, Chinese University of Hong Kong, 6 Nov, 2013.
  13. Recent Image Processing Techniques on Automated Defect Detection for Patterned Textures: Annual General Meeting 2013, The Hong Kong Mathematical Society held at The City University of Hong Kong, 8 June, 2013
  14. Big Data Analytics in Transportation – Outlier Detection in Traffic Data Based on Dirichlet Process Mixture ModelCenter for Mathematical Imaging and Vision Seminar,  Department of Mathematics, Hong Kong Baptist University, 28 Mar, 2013
  15. Pattern Recognition on Automation, Social Signal Processing, Visual Surveillance and Intelligent Transportation Systems: Center for Mathematical Imaging and Vision Seminar,  Department of Mathematics, Hong Kong Baptist University, 21 Mar, 2013
  16. Modeling of Traffic Data based by Dirichlet Process Mixtures: (1) Invited Talk, Department of Electronic & Electrical Engineering, The University of Sheffield, U.K., 22 Oct, 2012; (2) IEEE Int’l Conf. Automation Science & Engineering (CASE) 2012, Seoul, Korea, 21 Aug, 2012.
  17. Social Group Discovery via Two-level Social Network: IEEE Int’l Conf. Power Electronics & Intelligent Transportation System, Shenzhen University, Shenzhen, China, 20Nov, 2010.
  18. Social Computing and Its Applications in Visual Surveillance: (1) Laboratory for Intelligent Transportation Systems Research, Dept. of Electrical and Electronic Engineering, HKU, 9 Mar, 2010; (2) Invited Talk, Centre for Mathematical Imaging and Vision (CMIV), Hong Kong Baptist University, 4 Jan, 2010
  19. Inspection of Patterned Materials and Texture: C&C Innovation Research Laboratories, NEC, Nara, Japan, 2 Oct, 2008
  20. Patterned Fabric Defect Detection Using A Motif-based Approach: IEEE International Conference on Image Processing (ICIP2007), San Antonio, Texas, US, 17 Sep, 2007
  21. Motif-based Defect Detection on Patterned Fabric: Departmental Postgraduate Seminar, Dept. of Electrical and Electronic Engineering, HKU, 31 Jan, 2007
  22. Comparison on Methods for Defect Detection of Patterned Jacquard Fabric: Int’l Sym. Collaborative Research in Applied Science (ISOCRIAS05), UBC, Vancouver, Canada, 8 Oct, 2005
  23. Defect Detection on Patterned Fabrics: (1) IEEE International Workshop on 32nd Applied Imagery Pattern Recognition, Washington DC, US, 10 Oct, 2003; (2) Departmental Postgraduate Seminar, Dept. of Electrical and Electronic Engineering, HKU, 23 Sep, 2003

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