Move to the main content
Department of Digital Financial Technology & Graduate Institute of Asset Management

Department of Digital Financial Technology & Graduate Institute of Asset Management
:::
Wei-Chao Lin

Wei-Chao Lin

JobTitle： Professor

CurrentJob： Professor

E-mail： viclin@gap.cgu.edu.tw

Phone： +886-3-211-8800 ext. 3770

Education： Ph.D. in Information Systems, University of Sunderland, UK

Expertise： Data Mining, Big Data Analysis, Information Retrieval

Website： https://www.sedona.cloud/members/Wei-Chao

Courses

Electronic Commerce
Introduction to Computer Science
Introduction to Internet of Things
Big Data Analytical Methods
Introduction to Intelligent Robotics
Seminar on Information Technology and Applications

Projects

MOST Research Projects

  • Binary Decomposition Approaches in Multi-Class Datasets (MOST 110-2410-H-182-002-), Project Manager, 110/08/01~111/07/31
  • Multi-modal Deep Learning Architecture for Stock Price Prediction (MOST 109-2410-H-182-012-), Project Manager, 109/08/01~110/07/31
  • Machine Learning Based Data Sampling for Class-Imbalanced Datasets (MOST 106-2410-H-182-024-), Project Manager, 106/08/01~107/07/31
  • User-centred Interaction in Text-Based Image Retrieval (NSC 101-2218-E-146-001-), Project Manager, 101/08/01~102/07/31

Journal Papers

  1. Lin, W.-C., Tsai, C.-F.*, and Zhong, J.R. (2022) Deep Learning for Missing Value Imputation of Continuous Data and the Effect of Data Discretization. Knowledge-Based Systems (SCI; IF=8.038; 16/139 Q1(2020-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (accepted)
  2. Lin, W.-C.* (2021) Block-Based Pseudo-relevance Feedback for Image Retrieval. Journal of Experimental & Theoretical Artificial Intelligence (SCI; IF=2.340; 79/140 Q3(2020-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (online first)
  3. Wang, Z., Tsai, C.-F., and Lin, W.-C.* (2021) Data Cleaning Issues in Class Imbalanced Datasets: Instance Selection and Missing Values Imputation for One-Class Classifiers.Data Technologies and Applications, 55(5), pp. 771-787. (SSCI; IF=1.667; 52/86 Q3(2020-JCR) in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICTIONS)
  4. Wang, M.-C., Tsai, C.-F., and Lin, W.-C.* (2021) Towards Missing Electric Power Data Imputation for Energy Management Systems.Expert Systems With Applications, 174, 114743. (SCI; IF=6.954; 8/84 Q1(2020-JCR) in OPERATIONS RESEARCH & MANAGEMENT SCIENCE)
  5. Huang, M.-W., Tsai C.-F., and Lin, W.-C.* (2021) Instance Selection in Medical Datasets: A Divide-and-Conquer Framework. Computers & Electrical Engineering, 90, 106957. (SCI; IF=3.818; 44/112 Q2(2020-JCR) in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICTIONS)
  6. Chen, C.-W., Tsai, Y.-H., Chang, F.-R., and Lin, W.-C.* (2020) Ensemble Feature Selection in Medical Datasets: Combining Filter, Wrapper, and Embedded Feature Selection Results. Expert Systems, Special Issue on Advances in Visual Analytics and Mining Visual Data, 37(5), e12553. (SCI; IF=2.587; 31/110 Q2(2020-JCR) in COMPUTER SCIENCE, THEORY & METHODS)
  7. Lin, W.-C. and Tsai, C.-F.* (2020) Missing Value Imputation: A Review and Analysis of the Literature (2006-17). Artificial Intelligence Review, 53(2), pp. 1487-1509. (SCI; IF= 8.139; 14/139 Q1(2020-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  8. Tsai, C.-F., Lin, W.-C.*, Hu, Y.-H., and Yao, G.-T. (2019) Under-Sampling Class Imbalanced Datasets by Combining Clustering Analysis and Instance Selection. Information Sciences, 477, pp. 47-54. (SCI; IF=5.910; 9/156 Q1(2019-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
  9. Lin, W.-C., Lu, Y.-H., and Tsai, C.-F.* (2019) Feature Selection in Single and Ensemble Learning Based Bankruptcy Prediction Models. Expert Systems, 36(1), e12335. (SCI; IF=1.546; 50/108 Q2(2019-JCR) in COMPUTER SCIENCE, THEORY & METHODS)
  10. Tsai, C.-F., Li, M.-L., and Lin, W.-C.*(2018) A Class Center Based Approach for Missing Value Imputation. Knowledge-Based Systems, 151, pp. 124-135. (SCI; IF=5.101; 17/134 Q1(2018-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  11. Huang, M.-W.,Lin, W.-C.*, and Tsai, C.-F. (2018) Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets. Journal of Healthcare Engineering, Special Issue on Artificial Intelligence in Medical Applications, 2018, Article ID 1817479. (SCI; IF=1.295; 79/98 Q4(2018-JCR) in HEALTH CARE SCIENCES & SERVICES)
  12. Lin, W.-C., Tsai, C.-F.*, Hu, Y.-H., and Jhang, J.-S. (2017) Clustering-Based Undersampling for Class-imbalanced Data. Information Sciences, 409-410, pp. 17-26. (SCI; IF=4.305; 12/148 Q1(2017-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
  13. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2017) When Should We Ignore Examples with Missing Values? International Journal of Data Warehousing and Mining, 13(4), pp. 53-63. (SCI; IF=0.781; 86/104 Q4(2017-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
  14. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2017) Top 10 Data Mining Algorithms in Business Applications: A Brief Survey. Kybernetes, 46(7), pp.1158-1170. (SCI; IF=0.980; 16/22 Q3(2017-JCR) in COMPUTER SCIENCE, CYBERNETICS)
  15. Lin, W.-C.* (2017) On Image Search Result Aggregation. Pattern Analysis and Applications, 20(3), pp. 865-870. (SCI; IF=1.281; 86/132 Q3(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  16. Ke, S.-W., Lin, W.-C.*, Tsai, C.-F., and Hu, Y.-H. (2017) Soft Estimation by Hierarchical Classification and Regression. Neurocomputing, 234, pp. 27-37. (SCI; IF=3.241; 27/132 Q1(2017-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  17. Huang, M.-W., Chen, C.-W.*, Lin, W.-C., Ke, S.-W., and Tsai, C.-F. (2017) SVM and SVM ensembles in Breast Cancer Prediction. PLOS ONE. 12(1), e0161501. (SCI; IF=2.766; 15/64 Q1(2017-JCR) in MULTIDISCIPLINARY SCIENCES)
  18. Tsai, C.-F.*, Lin, W.-C., and Ke, S.-W. (2016) Big Data Mining with Parallel Computing: A Comparison of Distributed and MapReduce Methodologies. Journal of Systems and Software, 122, pp. 83-92. (SCI; IF=2.444; 22/106 Q1(2016-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
  19. Huang, M.-W., Lin, W.-C., Chen, C.-W.*, Ke, S.-W., Tsai, C.-F., and Eberle, W. (2016) Data Preprocessing Issues for Incomplete Medical Datasets. Expert Systems, 33(5), pp. 432-438. (SCI; IF=1.180; 59/104 Q3(2016-JCR) in COMPUTER SCIENCE, THEORY & METHODS)
  20. Chen, Z.-Y., Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2016) 3D Model Retrieval by Sample Based Alignment. Journal of Visual Communication and Image Representation, 40, pp. 721-731. (SCI; IF=2.164; 61/146 Q2(2016-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
  21. Ke, S.-W., Lin, W.-C., and Tsai, C.-F.* (2016) Research Performance of AACSB Accredited Institutions in Taiwan: Before versus After Accreditation. SpringerPlus, 5(1), pp. 1285-1294. (SCI; IF=1.130; 30/64 Q2(2016-JCR) in MULTIDISCIPLINARY SCIENCES)
  22. Shen, C.-C., Hu, Y.-H., Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2016) Research Impacts of General and Funded Papers: A Citation Analysis of Two ACM International Conference Proceeding Series. Online Information Review, 40(4), pp. 472-480. (SCI/SSCI; 1.534; 31/85 Q2(2016-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
  23. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2016) Robustness and Reliability Evaluations of Image Annotation. Imaging Science Journal, 64(2), pp. 94-99. (SCI; IF=0.451; 25/26 Q4(2015-JCR) in IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY)
  24. Lin, W.-C., Tsai, C.-F.*, Chen, Z.-Y., and Ke, S.-W. (2016) Keypoint Selection for Efficient Bag-of-Words Feature Generation and Effective Image Classification. Information Sciences, 329, pp. 33-51. (SCI; IF=4.832; 7/146 Q1(2016-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
  25. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2016) SAFQuery: A Simple and Flexible Advanced Web Search Interface. The Electronic Library, 34(1), pp.155-168. (SSCI; IF=0.484; 63/85 Q3(2016-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
  26. Lin, W.-C., Tsai, C.-F.*, Ke, S.-W., and You, M.-L. (2015) On Learning Dual Classifiers for Better Data Classification. Applied Soft Computing, Special Issue on Soft Computing for Big Data, 37, pp. 296-302. (SCI; IF=2.857; 21/130 Q1(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  27. Chen, Z.-Y., Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2015) Evolutionary Feature and Instance Selection for Traffic Sign Recognition. Computers in Industry, Special Issue on Synergy of Computers, Cognition, Communication and Control with Industrial Applications, 74, pp. 201-211.  (SCI; IF=1.685; 44/104 Q2(2015-JCR) in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
  28. Lin, W.-C., Chen, Z.-Y., Ke, S.-W., Tsai, C.-F.*, and Lin, W.-Y. (2015) The Effect of Low-Level Image Features on Pseudo Relevance Feedback. Neurocomputing, 166, pp. 26-37. (SCI; IF=2.392; 31/130 Q1(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  29. Chen, C.-W., Lin, W.-C., Ke, S.-W., Tsai, C.-F.*, and Hu, Y.-H. (2015) On Mining Incomplete Medical Datasets: Ordering Imputation and Classification. Technology and Health Care, 23(5), pp. 619-625. (SCI; IF=0.678; 68/76 Q4(2015-JCR) in ENGINEERING, BIOMEDICAL)
  30. Lin, W.-C., Tsai, C.-F.*, Ke, S.-W., Hung, C.-W., and Eberle, W. (2015) Learning to Detect Representative Data for Large Scale Instance Selection. Journal of Systems and Software, 106, pp. 1-8. (SCI; IF=1.424; 24/106 Q1(2015-JCR) in COMPUTER SCIENCE, SOFTWARE ENGINEERING)
  31. Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2015) Correlation Analysis for Comparison of the Citation Impact of Journals, Magazines, and Conferences in Computer Science. Online Information Review, 39(3), pp. 310-325. (SCI/SSCI; IF=1.152; 71/143 Q2(2015-JCR) in COMPUTER SCIENCE, INFORMATION SYSTEMS)
  32. Chen, Z.-Y., Tsai, C.-F.*, Eberle, W., Lin, W.-C., and Ke, S.-W. (2015) Instance Selection by Genetic-Based Biological Algorithm. Soft Computing, 19(5), pp. 1269-1282. (SCI; IF=1.630; 56/130 Q2(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  33. Lin, W.-C., Ke, S.-W., and Tsai, C.-F.* (2015) CANN: An Intrusion Detection System Based on Combining Cluster Centers and Nearest Neighbors. Knowledge-Based Systems, 78, pp. 13-21. (SCI; IF=3.325; 17/130 Q1(2015-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  34. Hu, Y.-H., Lin, W.-C., Tsai, C.-F.*, Ke, S.-W., and Chen, C.-W. (2015) An Efficient Data Preprocessing Approach for Large Scale Medical Data Mining. Technology and Health Care, 23(2), pp. 153-160. (SCI; IF=0.678; 68/76 Q4(2015-JCR) in ENGINEERING, BIOMEDICAL)
  35. Ke, S.-W., Lin, W.-C., Tsai, C.-F.*, and Hu, Y.-H. (2014) Citation Impact Analysis of Research Papers that Appear in Oral and Poster Sessions: A Case Study of Three Computer Science Conferences. Online Information Review, 38(6), pp. 738-745. (SCI/SSCI; IF=0.918; 34/85 Q2(2014-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
  36. Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. (2014) Dimensionality and data reduction in telecom churn prediction. Kybernetes, 43(5), pp. 737-749. (SCI; IF=0.429; 24/24 Q4(2014-JCR) in COMPUTER SCIENCE, CYBERNETICS)
  37. Tsai, C.-F.*, and Lin, W.-C. (2012) Scenery Image Retrieval by Meta-Feature Representation. Online Information Review, 36(4), pp. 517-533. (SCI/SSCI; IF=0.939; 37/85 Q2(2012-JCR) in INFORMATION SCIENCE & LIBRARY SCIENCE)
  38. Tsai, C.-F.*, Lin, W.-C., and Hung, C. (2011) Quality Analysis of Object Categorization Benchmarks: Corel, Caltech, and IAPR Datasets. Recent Patents on Computer Science, 4(2), pp. 108-113. (EI)
  39. Lin, W.-C.*, Oakes, M., and Tait, J. (2010) Improving Image Annotation via Representative Feature Vector Selection. Neurocomputing, 73(10-12), pp. 1774-1782. (SCI; IF=1.442; 50/108 Q2(2010-JCR) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
  40. Lin, W.-C.*, Oakes, M., Tait, J., and Tsai, C.-F. (2009) Improving image annotation via useful representative feature selection. Cognitive Processing, 10(3), pp. 233-242. (SSCI; IF=1.030; 66/81 Q4(2010-JCR) in PSYCHOLOGY, EXPERIMENTAL)