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Athabasca University

 

Dr. Dunwei (Grant) Wen

Associate Professor - School of Computing and Information Systems

Email: dunweiw@athabascau.ca

Phone#: 1 (780) 423-7907

Toll-free Phone#: 1-866-568-7803

Education | Teaching Responsibilities | Academic Experience | Professional Memberships | Research Profiles and Interests | Publications | Research Supervision | Current Projects | Recently Completed Projects | Link to Profile Webpage

Education

Ph.D,    Central South University,  China,  1994 - 2001
M.Sc.,    Tianjin University,            China,  1985 - 1988
B.Eng.,   Hunan University,            China,  1981 - 1985

Teaching Responsibilities

Graduate/Undergraduate Courses:

COMP 657 Artificial Intelligence: Principles and Techniques

COMP 659 Statistical Language Processing for Text Analytics

COMP 674 Theory of Computation

COMP 684 Business Intelligence

COMP 390 Computer Graphics

COMP 393 Advanced Graphics with Shaders

COMP 435 Multimedia Technologies

    Previous Courses

COMP 682 Data Mining

COMP 602 Enterprise Information Management

COMP 504 Object Structure and Programming

COMP 456 Artificial Intelligence and Expert Systems

COMP 418 Distributed Database Systems and Database Tuning

COMP 410 Software Engineering

COMP 314 Operating Systems

Academic Experience

Associate Professor, School of Computing and Information Systems, Athabasca University, Canada, Jan. 2007 -Present

Researcher, Visiting Scholar, School of Computing and Information Systems, and OVPA, Athabasca University, Canada, Dec. 2004 - Dec. 2006

Visiting Scholar, AI Lab., Dept. of Computing Science, University of Alberta, Canada, Sept. 2003 - Sept. 2004

Professor, School of Information Science and Engineering, Central South University, China, Sept. 2003 - Jan. 2007

Associate Professor and Director, Center for Intelligent Systems and Software, School of Information Science and Engineering, Central South University, China, Dec. 2001 - Sept. 2003

Associate Professor and Director, Division of Automation in Thermal Engineering, School of Energy and Power Engineering, Central South University (of Technology), China, Sept. 1997 - Dec. 2001

Assistant Professor, Lecturer, Dept. of Applied Physics and Thermal Energy, Central South University of Technology, China, Jul. 1988 - Aug. 1997

Professional Memberships

Member of AAAI (Association for the Advancement of Artificial Intelligence, previously American Association for Artificial Intelligence)

Member of ACM (Association for Computing Machinery)

Member of IEEE (Institute of Electrical and Electronics Engineers) and IEEE Computer Society

Member of the Board of Directors of CAAI (Chinese Association for AI) (2001-2010)

Research Profiles and Interests

My overall research goal is to advance the theory and technology of machine learning and inference, for solving problems in processing and understanding the content of natural language and image data, which play a key role in data analytics and knowledge discovery applications.

My current research program aims to develop statistical learning methods, especially those capable of capturing structural relations and prior knowledge, for enhancing semantic analysis of natural language text and images, such as semantic role labeling, topic modeling and semantic disambiguation, and apply them to automated question answering, text analytics and image recognition in various knowledge-intensive educational, industrial and medical information systems.

My research interests include the following fields relating to Artificial Intelligence:

Machine Learning and Inference
Natural Language Processing
Data, Text and Image Analysis
Pattern Recognition and Intelligent Systems

Publications

    Selected Journal Papers:

  1. Liu, T., Si, Y., Wen, D., Zang, M., & Lang, L. (2016). Dictionary learning for VQ feature extraction in ECG beats classification. Expert Systems with Applications, vol. 53 (In Progress), pp 129-137, DOI
  2. Yang, G., Wen, D., Kinshuk, Chen, N.-S., & Sutinen, E. (2015). A novel contextual topic model for multi-document summarization. Expert Systems with Applications, vol. 42, no. 3, pp 1340-1352, DOI
  3. Zang, M., Wen, D., Wang, K., Liu, T., & Song, W. (2015). A novel topic feature for image scene classification. Neurocomputing, vol. 148, pp 467-476, DOI
  4. Huang, Y-M., Liu, M-C., Chen, N-S., Kinshuk, & Wen, D. (2014). Facilitating learners' web-based information problem-solving by query expansion-based concept mapping. Australasian Journal of Educational Technology, vol. 30, no. 5, pp 517-532, Link
  5. Wen, D., Cuzzola, J., Brown, L., & Kinshuk (2013). Instructor-aided asynchronous question answering system for online education and distance learning. The International Review of Research in Open and Distance Learning, vol. 13, no. 5, pp 102-125, Link
  6. Yang, G., Chen, N.-S., Kinshuk, Sutinen, E., Anderson T., & Wen, D. (2013). The effectiveness of automatic text summarization in mobile learning contexts. Computers & Education, vol. 68, pp 233-243, DOI
  7. Yan, Y., Wen, D., Wang, Y., & Wang, K. (2014). Named entity recognition in Chinese medical records based on cascaded conditional random fields. Journal of Jilin University (Engineering and Technology Edition), vol. 44, no. 6, pp 1843-1848 (in Chinese), Link
  8. Li, Y., Wen, D., Wang, K., & Liu, L. (2014). Multiple kernel MtLSSVM and its application in lung nodule recognition. Journal of Jilin University (Engineering and Technology Edition), vol. 44, no. 2, pp 508-515 (in Chinese), Link
  9. Liu, M. C., Huang, Y. M. , Kinshuk, & Wen D. (2013). Fostering learners' metacognitive skills of keyword reformulation in image seeking by location-based hierachical navigation. Educational Technology Research and Development, vol. 61, no. 2, pp 233-254, DOI
  10. Li, B., Wen, D., Wang, K., & Liu, J. (2012). Automatic annotation for medical texts based on hidden topic and semantic tree. Journal of Jilin University (Engineering and Technology Edition), vol. 42, no. 1, pp 234-239 (in Chinese), Link
  11. Yang, J., Huang, H.-Z., He, L., Zhu, S.-P., & Wen, D. (2011). Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster-Shafer evidence theory under uncertainty. Engineering Failure Analysis, vol. 18, no. 8, pp 2084-2092, DOI
  12. Deline, G., Lin, F., Wen, D., Gasevic, D., & Kinshuk. (2009). A Case Study of Ontology-Driven Development of Intelligent Educational Systems. International Journal of Web-Based Learning and Teaching Technologies, vol. 4, no. 1, pp 66-81, DOI
  13. Wen, D., Graf, S., Lan, C.-H., Anderson, T., Kinshuk and Dickson, K. (2007). Supporting Web-based Learning through Adaptive Assessment. FormaMente Journal, 2007, 2(1-2): 45-79, Link
  14. Lin, F., Kinshuk, McGreal, R., Leung, S., Wen, D., Zhang, F., Li, Q., & Liang, X. (2008). E-Advisor: A Multi-agent System for Academic Advising. International Transactions on Systems Science and Applications, vol. 4, no. 1, pp 89-98.
  15. Wen, D., & Fan, X. (2007). A Semi-Auto Framework for Module Based Ontology Matching, Computer Engineering and Applications, 43(29):63-67. (in Chinese), Link
  16. Jia, X., & Wen, D. (2007). A Survey of Ontology Learning from Text. Computer Science, vol. 34, no. 2, pp 181-185 (in Chinese), DOI
  17. Chen, Z., & Wen, D. (2006). Study and implementation of improving QA systems using NLP. Computer Engineering. vol, 32, no. 20, pp 205-206,223. (in Chinese), Link
  18. Cai, Z., & Wen, D. (2003). A fuzzy neural controller based on FAM. Control Theory & Application, vol. 20, no. 4, pp 117-120. (in Chinese), Link
  19. Wen, D., Yi, J., Cai, Y., & Xue, Z. (2003). An identification-based fault detection and diagnosis of a supply air-conditioning system. Journal of Hunan University (Natural Science), vol. 34, no. 2, pp 136-139. (in Chinese), Link
  20. Cai, Y., Wen, D., He, J., Peng, T. & Long, Y. (2003). Position control and product detecting based on machine vision for gravure printing press. Journal of Hunan University (Natural Science), vol. 30, no. 3, pp 57-59. (in Chinese), Link
  21. Wen, D., & Cai, Z. (2002). A fuzzy Alopex learning algorithm of recurrent neural networks. High Technology Letters, vol. 12, no. 1, pp 54-56. (in Chinese), DOI
  22. Wen, D., & Cai, Z. (2002). Sample division based heuristic genetic BP algorithm. Journal of Central South University (Natural Science), vol. 33, no. 1, pp 92-95. (in Chinese), Link

    Book Chapters:

  23. Gao, Y., & Wen, D. (2014). Semantic Similarity-Enhanced Topic Models for Document Analysis. In Chang, M., & Li, Y. (Eds.), Smart Learning Environments, Springer, Berlin, Germany, pp 45-56, DOI
  24. Wen, D., Gao, Y., & Yang, G. (2014). Semantic Analysis-Enhanced Natural Language Interaction in Ubiquitous Learning. In Kinshuk, & Huang, R. (Eds.), Ubiquitous Learning Environments and Technologies, Springer, Berlin, Germany, pp 119-137, DOI
  25. Liu, M. C., Kinshuk, Huang, Y. M. , & Wen, D. (2011). Boosting Semantic Relations for Example Population in Concept Learning. In Graf, S., Lin, F., Kinshuk & McGreal, R. (Eds.), Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers, IGI Global, pp 165-181, DOI

    Selected Conference Papers:

  26. Dewan, M. A., Lin, F., Wen, D., kinshuk. (2016). An Approach to Improving Single Sample Face Recognition by Using High Confident Tracking Trajectories. Proceedings of the 29th Canadian Conference on Artificial Intelligence (Canadian AI 2016), Accepted
  27. Song, W., Wen, D., Wang, Ke., Liu, T., & Zang, M. (2015). Satellite image scene classification using spatial information. Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), International Society for Optics and Photonics, 2014, Beijing, China, DOI
  28. Wen D, Marshall G. (2014). Automatic Twitter Topic Summarization. The Proceedings of IEEE 17th International Conference on Computational Science and Engineering (CSE), Chengdu, 2014-12-19, (IEEE CSE 2014), pp 207-212, DOI
  29. Liu, T., Si, Y., Wen, D., Zang, M., Song, W., Lang, L.. (2014). Vector Quantization for ECG Beats Classification. The Proceedings of IEEE 17th International Conference on Computational Science and Engineering (CSE), Chengdu, 2014-12-19, (IEEE CSE 2014), pp 13-20, DOI
  30. Li, Y., Wen, D., Wang, K., & Hou, A. (2013). Mixed Kernel Function SVM for Pulmonary Nodule Recognition. ICIAP (2) 2013, LNCS vol. 8157, pp 449-458, DOI
  31. Zhang, X., Wen, D., Wang, K., & Yang, Y. (2013). CUP Classification Based on a Tree Structure with MiRNA Feature Selection. MICAI (1) 2013, LNCS/LNAI vol. 8265, pp 485-496, DOI
  32. Yang, G., Kinshuk, Wen, D., & Sutinen, E. (2013). Enhancing Sentence Ordering by Hierarchical Topic Modeling for Multi-document Summarization. MICAI (1) 2013, LNCS/LNAI vol. 8265, pp 367-379, DOI
  33. Fakinlede, I., Kumar, V., & Wen D. (2013). Knowledge Representation for Context and Sentiment Analysis. IEEE ICALT 2013, pp 493-494, DOI
  34. Yang, G., Kinshuk, Wen, D., & Sutinen, E. (2013). A Contextual Query Expansion Based Multi-document Summarizer for Smart Learning. Proceedings of SITIS 2013, IEEE CS Press, pp 1010-1016, DOI
  35. Wen, D., Cuzzola, J., Brown, L., & Kinshuk (2012). Exploiting Semantic Roles for Asynchronous Question Answering in an Educational Setting. In L. Kosseim, L., & Inkpen, D. (Eds.), Advances in Artificial Intelligence – Proceedings of the 25th Canadian Conference on Artificial Intelligence (Canadian AI 2012), LNCS/LNAI vol. 7310, pp 374-379, DOI
  36. Yang, G., Wen, D., Kinshuk, & Sutinen, E. (2012). Personalized Text Content Summarizer for Mobile Learning: An Automatic Text Summarization System with Relevance Based Language Model. Proceedings of the 4th IEEE International Conference on Technology for Education (IEEE T4E), pp 90-97, DOI
  37. Yang, G., Kinshuk, Sutinen, E., & Wen D. (2012). Chunking and Extracting Text Content for Mobile Learning: A Query-Focused Summarizer Based on Relevance Language Model. Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies (IEEE ICALT 2012), pp 126-128, DOI
  38. Liu, M. C., Huang, Y. M. ,Kinshuk, & Wen, D. (2011). Constructing Directed Semantic Relationships between Concepts for Training Semantic Reasoning. Proceedings of the 6th International Conference on E-learning and Games (Edutainment 2011), LNCS vol. 6872, pp 402-406, DOI
  39. Wen, D., & Dou, Q. (2010). Exploiting Frame Information for Prepositional Phrase Semantic Role Labeling. In A. Farzindar, & V. Keselj (Eds.), Advances in Artificial Intelligence - Proceedings of the 23th Canadian Conference on Artificial Intelligence (Canadian AI 2010), LNCS/LNAI vol. 6805, pp 269-272, DOI
  40. Wen, D., Liu, M.-C., Huang, Y.-M., Kinshuk, & Hung, P.-H. (2010). Identifying Animals with Dynamic Location-aware and Semantic Hierarchy-based Image Browsing for Different Cognitive Style Learners. In M. Jemni, Kinshuk, D. Sampson, & J. M. Spector (Eds.), Proceedings of the 10th IEEE International Conference on Advanced Learning Technologies (IEEE ICALT 2010), pp 355-359, DOI
  41. Liu, M. C., Wen, D., Kinshuk, & Huang, Y. M. (2010). Learning Animal Concepts with Semantic Hierarchy-based Location-aware Image Browsing and Ecology Task Generator. In Liu C.-C. R. Pea U. Hoppe (Ed.), Proceedings of the 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education (IEEE WMUTE 2010), pp 42-49, DOI
  42. Wen, D., Jiang, S., & He, Y. (2008). A Question Answering System based on VerbNet Frames. In Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2008), pp 435-442, DOI
  43. Wen, D., & Lin, F. (2008). Ways and Means of Employing AI Technology in E-Learning Systems. In Proceedings of the Eighth IEEE International Conference on Advanced Learning Technologies (IEEE ICALT 2008), pp 1005-1006, DOI
  44. Graf, S., MacCallum, K., Liu, T. C., Chang, M., Wen, D., Tan, Q., Dron, J., Lin, F., Chen N.-S., McGreal, R., & Kinshuk. (2008). An Infrastructure for Developing Pervasive Learning Environments. In Proceedings of the IEEE International Workshop on Pervasive Learning ( IEEE PerEL 2008), pp 389-394, DOI
  45. Wen, D., Graf, S., Lan, C.-H., Anderson, T., Kinshuk and Dickson, K. (2007). Adaptive Assessment in Web-Based Learning. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2007) , pp 1846-1849, DOI
  46. Chen, Z., & Wen, D. (2007). Accelerating and Evaluation of Syntactic Parsing in Natural Language Question Answering Systems. Proceedings of International Conference on Artificial Intelligence (ICAI 2007), pp 595-601, Link
  47. Lin, F., & Wen, D. (2007). Ontologies in an Intelligent System for Academic Advising.  In Proceeding of the 11th Global Chinese Conference on Computers in Education (GCCCE 2007), pp 148-155
  48. Chen, Z., & Wen, D. (2005). A new Web-service-based architecture for question answering. In Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), pp179-183, DOI
  49. Wen, D., & Cai, Z. (2001). A BDI formal model of multi-agent systems for social action and laws. In Proceedings of 2001 National Conference on Artificial Intelligence (CAAI-2001), Beijing, China, December 2001, pp 551-554. (in Chinese)
  50. Wen, D., & Cai, Z. (2001). Structure and convergence of Self-feedback diagonal recurrent neural networks (SDRNN) . In Proceedings of 2001 National Conference on Artificial Intelligence (CAAI-2001), Beijing, China, December 2001, pp459-462. (in Chinese)

Research Supervision

Graduate students, researchers and scholars:

Yan, Y., Visiting Scholar, 2016/03-2017/02, Probabilistic Graphical Models for Text and Image Labeling, PhD, a professor at Changchun Normal University

Ling, H., MITACS Globalink Research Intern, Summer 2015, Deep Learning for Natural Language Text and Image Analysis, Sun Yat-Sen University

Hristov, J., MSc, 2015-, Topic Recognition and Sentiment Analysis on Travel Reviews, MSc IS Candidate

Risling, D., MSc, 2015-, Enhancing Organizational Knowledge Management Through Natural Language Processing, MSc IS Candidate

Laan, N., MSc, 2015-, Effects of Individual Differences and Visual Information Seeking on Learning Strategies in Essay Writing, MSc IS Thesis Candidate

Esterhazy, J., RA, MSc, 2012-2014, Bayesian Non-parametric Models for Text Analysis, MSc IS (AU), Sr. Data Engineer (Alexa Internet), Sr. Software Engineer (Groupon)

Marshall, G., MSc, 2012-2014, Infinite HMM for Text Mining and Generation, MSc IS (AU), VP of Technology at Aireus Inc.

Yang, G., PhD, 2012-2015, Topic Modeling Based Text Summarization in Mobile Learning, University of Eastern Finland (Co-supervising)

Zang, M., PhD, 2011-2015, The Research of Features for Image Scene Recognition, Jilin University (Co-supervising), a professor at Ludong University

Li, Y., PhD, 2012-2015, Multiple Kernel Learning SVM and Lung Nodule Recognition, Jilin University (Co-supervising), a professor at Changchun University of Technology

Yan, Y., PhD, 2012-2015, CRFs-Based Medical Text and Image labeling Model Construction and Applications, Jilin University (Co-supervising), a professor at Changchun Normal University

Song, W., MSc, 2012-2015, Satellite Image Scene Classification Using Spatial Information, Jilin University (Co-supervising)

Yang, Y., MSc, 2012-2015, Multilayer Perceptron Trained with the Quadratic Error Cost Function for Signal Detection, Jilin University (Co-supervising)

Zhang, X., MSc, 2012-2014, CUP Classification based on MiRNA Feature Selection and SVM Classifier, Jilin University (Co-supervising)

Wang, Y., MSc, 2012-2014, Recognition of Named Entity in Electronic Medical Records Based on Cascaded Conditional Random Fields, Jilin University (Co-supervising)

Fakinlede, I., MSc Thesis, 2011-2016, Social Model for Auto Generating the personal of an Anthropomorphic Pedagogical Agent (Co-supervising)

Hota, S., MITACS Globalink Research Intern, Summer 2014, Statistical Learning For Natural Language Text Analytics, IIT Kharagpur

Garg, P., MITACS Globalink Research Intern, Summer 2014, Automated Question Answering Based on Semantic Analysis and Statistical Learning, Birla Institute of Technology and Science

Gao, Y., Visiting Scholar, 2013-2014, Topical Modeling and Text Analytics, PhD, Associate Professor at Central South University

Brown, L., RA, 2011-2012, Semantic Role Labeling and Question Answering, MSc (AU), Information Architect at AU

Cuzzola, J., RA, 2011-2013, Automated Question Answering for E-learning, MSc (AU), Director of Information Technology at School District (BC Kamloops)

He, H., RA, 2011-2012, Structured Learning for Semantic Role Labeling, PhD Candidate at UMD

Wang, K., Visiting Scholar, 2010-, Semantic Retrieval of Medical Images, PhD, Professor at Jilin University

Mac, A., MSc, 2009-2013, Architecture for Knowledge Management Systems

Dou, Q., RA, 2009-2010, Semantic Role Labeling with Frame Information, MSc (UofA), PhD (USC), Research Scientist at Facebook

Roseke, M., MSc. 2009, Semantic Parsing for Question Answering

Jiang, S., RA, 2008-2009, Semantic Based Question Answering, MSc (UofA), Researcher at Baidu

Sweeney, A., MSc, Software Architecture for Business and E-learning

San Pedro, E., MSc, 2009, Test Driven Software Development

O'Connor, S., MSc, 2009, Text Mining for Business Intelligence

Narasimhan, S., MSc, 2009, Architecture Patterns for Multiagent Systems

Gates, A., MSc, 2008, Distributed AI for Games

Schumacher, F., MSc, 2008, Email Interface and Systems

Ahmad, M. M., MSc, 2007, Data Warehousing and BI Project Management

Ahmad, M., MSc, 2007, Decision Trees in Data Mining and KDD, PhD (U. Pretoria), Business Intelligence Analyst at Alberta Health Services

Fan, X., MSc, 2004-2007, Automatic Ontology Matching, MSc (U. Georgia), Software Engineer at LinkedIn, Amazon

He, Y., MSc, 2004-2007, Question Answering Based on Semantic Frames, a Bank Software Engineer

Jia, X., MSc, 2004-2007, Ontology Learning from Text

Liao, J., MSc, 2004-2007, Semantic Search, a Faculty member at Hunan Institute of Science and Technology

Liao, L., MSc, 2004-2007, Email Classification Based on Modified VSM, a college faculty member

Chen, Z., MSc, 2003-2006, Natural Language Processing for Question Answering, PhD (INSA France), Associate Professor at Nanjing University of Aeronautics and Astronautics

Deng, S., PhD, 1999-2004, Intelligent Simulation, Diagnosis and Control of Limekiln (Co-supervising), Professor at Central South University

Cai, Y., MSc, 2000-2003, Digital Image Processing for Flame Detection and Combustion Diagnosis, Associate Professor at Hunan University of Technology

Yi, J., MSc, 1999-2002, Simulation, Fault Detection and Diagnosis of Air Conditioning, Senior Engineer at Central South University

Yang, Z., MSc, 1999-2002, An Intelligent Answering System for an AI Network Course (Co-supervising)

Current Projects

Deep Learning for Natural Language Text and Image Analysis. 2016. Mitacs Globalink Research Program. Faculty PI.

Deep Learning for Natural Language Text and Image Analysis. 2015. Mitacs Globalink Research Program. Faculty PI.

Automated Question Answering Based on Semantic Analysis and Statistical Learning. 2014. Mitacs Globalink Research Program. Faculty PI.

Statistical Learning for Natural Language Text Analytics. 2014. Mitacs Globalink Research Program. Faculty PI.

Recently Completed Projects

Artificial Intelligence and Its Application in Text and Image Processing for Information Systems. 2007-2013. Research Incentive Grant (RIG) of Athabasca University. PI.

Natural Language Processing and Question-Answering for Online Education. A theme under NSERC/iCORE/Xerox/Markin Industrial Research Chair Program, 2008-2014. Project Associate

Latent Structural Learning for Semantic Retrieval of Medical Images. 2010-2011. Academic Research Fund (ARF) of Athabasca University. PI.

Statistical and Semantic Question Analysis for Situated Question Answering. 2007-2009. Mission Critical Research Fund (MCR) of Athabasca University. PI.

Date-Driven Ontology and Knowledge Maintenance in Intelligent Systems for Academic Advising and Program Planning. 2007-2008. Mission Critical Research Fund (MCR) of Athabasca University. Co-PI.

Link to Profile Webpage

http://scis.athabascau.ca/our-people/faculty.php?id=dunweiw

Updated November 18 2015 by FST Technical Staff

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