Cheng,Tsang-Hsiang

Education

n Ph.D. in Information Management. National Sun Yat- Sen University.

n Master in Information Management. National Chiao Tung University.

n Bachelor in Information Science. National Chiao Tung University.  

 

Area of Specialty

  Data Mining, Text Mining, Medical Informatics, Information Management.

 

Academic Experience

n Professor, Chairman of Department of Business Administration Southern Taiwan University of Science and Technology, 2010.03 to present

n Associate Professor, Department of Business Administration, Southern Taiwan University of Science and Technology, 2004.07 to 2010.02

n Assistant Professor, Department of Business Administration, Southern Taiwan University of Science and Technology, 2003.08 to 2004.06

n Lecturer, Department of Business Administration, Southern Taiwan University of Science and Technology, 1995.08 to 2003.07

 

Publications

Journal Papers:

1.   Y. H. Lee, P. J. Hu, T. H. Cheng, T. C. Huang, W. Y. Chuang, “A preclustering-based ensemble learning technique for acute appendicitis diagnoses,” Artificial Intelligence in Medicine, Vol. 58, No. 2, March 2013, pp.115-124. (SCI)

2.   Y. H. Lee, P. J. Hu, T. H. Cheng, Y. F. Hsieh, “A Cost-Sensitive Technique For Positive-Example Learning Supporting Content-Based Product Recommendations in B-To-C E-Commerce,” Decision Support Systems, Vol. 53, No. 1, April 2012, pp.245-256. (SCI)

3.   Y. H. Lee, C. P. Wei, T. H. Cheng, C. T. Yang, “Nearest-neighbor-based approach to time-series classification,” Decision Support Systems, Vol. 53, No. 1, April 2012, pp.207-217. (SCI)

4.   T. H. Cheng and P. J. Hu, “A Data-Driven Approach to Manage the Length of Stay for Appendectomy Patients,” IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, Vol. 39, No. 6, Nov. 2009, pp.1339-1347. (SCI)

5.   C. Wei, H. C. Chen, and T. H. Cheng, “Effective Spam Filtering: A Single-Class Learning and Ensemble Approach,” Decision Support Systems, Vol. 45, No. 3, June 2008, pp.491-503 (NSC 95-2416-H-218-019). (SCI, SSCI)

6.   T. H. Cheng and C. Wei, “A Clustering-based Approach for Integrating Document-Category Hierarchies,” IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, Vol. 38, No. 2, March 2008, pp. 410-424. (SCI)

7.   P. J. Hu, T. H. Cheng, C. Wei, C. H. Yu, A. Chan, and H. Y. Wang, “Managing Clinical Use of High-Alert Drugs: A Supervised Learning Approach to Pharmacokinetic Data Analysis,” IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, Vol. 37, No. 4, July 2007, pp. 481 - 492. (SCI)

8.   P. J. Hu, C. Wei, T. H. Cheng, and J. X. Chen, “Predicting Adequacy of Vancomycin Regimens: A Learning-Based Classification Approach to Improving Clinical Decision-Making,” Decision Support Systems, Vol. 43, No. 4, August 2007, pp.1226-1241. (SCI)

9.   C. Wei, T. H. Cheng, and Y. C. Pai, “Semantic Enrichment in Knowledge Repositories: Annotating Semantic Relationships between Discussion Documents,” Journal of Database Management, Vol. 17, No. 1, Jan-Mar 2006, pp.1-15. (SCI) (MOE 91-H-FA08-1-4, NSC 93-2416-H-218-009)

10.C. Wei, C. S. Yang, H. W. Hsiao, and T. H. Cheng, “Combining Preference- and Content-based Approaches for Improving Document Clustering Effectiveness,” Information Processing and Management, Vol. 42, No. 2, March 2006, pp.350-372. (SCI, SSCI)

 

Conference Papers:

1.   C. C. Wu, T. H. Cheng, and Y. S. Lin, “The Impact of Financial Crisis on Structural Unemployment,” Proceedings of the fifth Southern Taiwan Business Conference，Tainan, Taiwan, June, 2013.

2.   C. C. Wu, T. H. Cheng, “A Study of Patient Satisfaction from the View of Patient-Centered Medical Care: An Example of Appendectomy,” Taiwan Conference on Business and. Information 2013, Taipei, Taiwan, May, 2013.

3.   J. Yu, P. J. Hu, and T. H. Cheng, “Examining Self-Disclosures on Social Network Sites,” Proceedings of the Eleventh Workshop on e-Business (WEB 2012), Orlando, Florida, USA, December 2012.

4.   T. H. Cheng, P. C. Huang, Y. T. Lin, “Extracting Self-Extubated Weaning Experience with Decision-Tree-based Imbalance Classification Techniques,” Proceedings of Business and Information 2012, Sapporo, Japan, July 2012.

5.   H. J. Chung, P. C. Huang, T. H. Cheng, “Extraction of Predictive Weaning Criteria,” Proceedings of 15th East Asian Forum of Nursing Scholars, Singapore, Feb. 2012

6.   P. C. Huang, T. H. Cheng, H. J. Chung, “A Research on The Application of Decision Tree on Unplanned Self-Extubation from The Ventilation,” Proceedings of 15th East Asian Forum of Nursing Scholars, Singapore, Feb. 2012.

7.   T. H. Cheng, H. C. Chen, W. B. Lin, and Y. H. Lee, “Collaborative Filtering With User Interest Evolution,” Proceedings of the 15th Pacific Asia Conference on Information Systems (PACIS), Brisbane, Australia, July 2011, (PACIS 2011).

8.   Y. H. Lee, P. J. Hu, T. H. Chu, T. H. Cheng, and H. W. Chen “A Temporal Frequent Itemset-Based Clustering Approach For Discovering Event Episodes From News Sequence,” Proceedings of the 15th Pacific Asia Conference on Information Systems (PACIS), Brisbane, Australia, July 2010, (PACIS 2011).

9.   T. H. Cheng, C. W. Lan, C. P. Wei, H. Chang, “Cost-Sensitive Learning for Recurrence Prediction of Breast Cancer,” Proceedings of the 14th Pacific Asia Conference on Information Systems (PACIS), Taipei, Taiwan, July 2010, (PACIS 2010).

10.Y. H. Lee, P. J. Hu, W. Y. Chuang, T. H. Cheng, Y. C. Ku, “Supporting Acute Appendicitis Diagnosis: A Pre-Clustering-Based Classification Technique,” Proceedings of the 14th Pacific Asia Conference on Information Systems (PACIS), Taipei, Taiwan, July 2010, (PACIS 2010).

11.Y. H. Lee, P. J. Hu, T. H. Cheng, and Y. F. Hsieh, “Positive Example Learning For Content-Based Recommendations: A Cost-Sensitive Learning Based Approach,” Proceedings of International Conference on Information Systems 2009, (ICIS 2009) Arizona, USA, December 2009.

12.Y. H. Lee, T. H. Cheng, C. Lan, C. Wei, and P. J. Hu, “Overcoming Small-size Training Set Problem in Content-based Recommendation: A Collaboration-based Training Set Expansion Approach,” Proceedings of the 11th International Conference on Electronic Commerce (ICEC 2009), Taipei, Taiwan, August 2009 (NSC 97-2410-H-218-017-MY2).

13.C. Wei, Chao-Chi Chen, T. H. Cheng and Christopher C. Yang, “A Feature-Reinforcement–Based Approach for Supporting Poly-Lingual Category Integration,” Proceedings of the Seventh Workshop on e-Business (WEB 2008), Paris, France, December 2008.

14.T. H. Cheng and P. J. Hu, “Content-based Recommendations Using Positive-Only Examples: A Single-Class Learning Approach,” Proceedings of the Sixth Workshop on e-Business (WEB 2007), Montreal, Quebec, Canada, December 2007.

15.C. Wei, G. H. Tzeng, and T. H. Cheng, “Cross-Lingual Category Integration,” Proceedings of the Fifth Workshop on e-Business (WEB 2006), Milwaukee, Wisconsin, U.S.A., December 2006.

16.T. H. Cheng and C. Wei, “Single-Class Learning for Spam Filtering: An Ensemble Approach,” Proceedings of the 10^th Pacific Asia Conference on Information Systems (PACIS), Kuala Lumpur, Malaysia, July 2006

17.T. H. Cheng and Paul J. Hu, “Managing Length of Hospital Stay for Appendectomy: A Data Mining Approach,” Proceedings of INFORMs International Conference, Hong Kong, June 2006.

18.T. H. Cheng, C. Wei, and V. S. Tseng, “Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches,” Proceedings of 19^th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), Salt Lake City, Utah, U.S.A., June 2006, pp.165-170.

 

Books

1.       C. Wei, P. J. Hu, T. H. Cheng, and J. Tan, “E-Medicine Development in Taiwan Case,” Chapter 8 in E-Health Care Information System, Jossey-Bass, San Francisco, CA, 2005, pp.260-266.

Grants

1.    National Science Council, No: NSC-102-2410-H-218-018, “Improving Clinical Protocols with Data Mining Techniques,” 2013.08.01~2014.07.31.

2.    National Science Council, No: NSC-99-2410-H-218-022-MY2, “Improving Recommendation Novelty by Mining Users’ Preference-Change Patterns,” 2010.08.01~2012.07.31.

3.    National Science Council, No: NSC-97-2410-H-218-017-MY2, “Recommender Systems by Learning Customer Preference Variation,” 2008.08.01-2010.12.31.

4.    National Science Council, No: NSC-96-2416-H-218-010, “Poly-Lingual Category Integration,” 2007.08.01-2008.07.31

5.    National Science Council, No: NSC-95-2416-H-218-019, “An Ensemble Approach for Personalized Recommendation with Positive and Unlabeled Training Examples,” 2006.08.01-2007.07.31.

6.    National Science Council, No: NSC-93-2416-H-218-009, “Supporting Text Categorization by Using Text Genre Feature,” 2004.08.01-2005.07.31.

 

Acadmic Service

n Reviewer, Journal of Information Management, 2010/07~2010/12.

n Reviewer, Journal of Internet Technology, 2010/07~2010/09.

 

Professional Certifications

n ERP Application Engineer for Distribution Module, No: EAE10DS01501, Chinese Enterprise Resource Planning Society, 2010/05.

n Business Intelligence Planner, No: BIP11CE00593, Chinese Enterprise Resource Planning Society, 2010/05.

n TQC-Advanced level for Excel 2010, Techficiency Quotient Certification, 2012/04.

n TQC-Advanced level for Word 2007, Techficiency Quotient Certification, 2011/04.

n TQC-Advanced level for Excel 2007, Techficiency Quotient Certification, 2011/04.

n TQC-Advanced level for PowerPoint 2007, Techficiency Quotient Certification, 2011/04.

n Microsoft Office Specialist Master Instructor, Microsoft Certiport, 2009/11.

n MOS for Microsoft Word, Microsoft Certiport, Microsoft Certiport, 2009/11.

n MOS for Microsoft Excel, Microsoft Certiport, Microsoft Certiport, 2009/11.

n MOS for Microsoft PowerPoint, Microsoft Certiport, Microsoft Certiport, 2009/11.

n MOS for Microsoft Access Microsoft Certiport, Microsoft Certiport, 2009/11.

n IC³(Internet and Computing Core Certification), Certiport, Global Digital Literacy Council, 2009/01.

n TQC-Corporation E-planner (level 1), E-Enterprise Expert Certification- EEC series, 2009/06.