Skip To Content

Athabasca University

 

Dr. Dunwei (Grant) Wen

Associate Professor, Chair - 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,  Hunan, China
M.Sc.,    Tianjin University,            Tianjin, China
B.Eng.,   Hunan University,            Hunan, China

Teaching Responsibilities

    Graduate Courses:

COMP 657 Artificial Intelligence: Principles and Techniques

COMP 659 Statistical Language Processing for Text Analytics

COMP 674 Theory of Computation

    Undergraduate Courses:

COMP 390 Computer Graphics

COMP 435 Multimedia Technologies

COMP 458 Machine Learning (under development)

    Previous Courses ( Click to show/hide )

Academic Experience

Associate Professor and Chair, School of Computing and Information Systems, Faculty of Science and Technology, Athabasca University, Canada, Apr. 2022 - Present

Associate Professor, School of Computing and Information Systems, Faculty of Science and Technology, 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) and ACM SIGAI

Member of IEEE (Institute of Electrical and Electronics Engineers)

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

Research Profiles and Interests

My research interests are Artificial Intelligence and Machine Learning,  especially machine learning algorithms for processing and understanding natural language, sequential data, and multimodal contents.

My current research program aims to develop probabilistic learning and deep learning methods to represent, recognize, interpret, and reason structural and semantic information in natural language text, sequential data, and images for implementing advanced and intelligent information systems.

Publications

    Selected Journal Papers:

  1. Liu, K., Liu, T., Wen, D., Zang, M., Zhou, S., & Liu, C. (2024). SRTNet: Scanning, Reading, and Thinking Network for myocardial infarction detection and localization. Expert Systems with Applications, vol. 240, 15 April 2024, [122402], DOI
  2. Solter, A., Lin, F., Wen, D., & Zhou, X. (2021). Data-driven multi-agent vehicle routing in a congested city. Information, vol. 12, no. 11, [447], DOI
  3. Whitelock-Wainwright, A., Laan, N., Wen, D., & Gasevic, D. (2020). Exploring student information problem solving behaviour using fine-grained concept map and search tool data. Computers & Education, vol. 145, February 2020, [103731], DOI
  4. Zang, M., Wen, D., Liu, T., Zou, H., & Liu, C. (2019). A fast sparse coding method for image classification. Applied Sciences, vol. 9, no. 3, [505], DOI
  5. Zang, M., Wen, D., Liu, T., Zou, H., & Liu, C. (2018). A pooled object bank descriptor for image scene classification. Expert Systems with Applications, vol. 94, 15 March 2018, pp 250-264, DOI
  6. 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, 1 July 2016, pp 129-137, DOI
  7. 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
  8. 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
  9. 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, DOI
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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.
  20. 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
  21. Jia, X., & Wen, D. (2007). A Survey of Ontology Learning from Text. Computer Science, vol. 34, no. 2, pp 181-185 (in Chinese), DOI
  22. 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
  23. Cai, Z., & Wen, D. (2003). A fuzzy neural controller based on FAM. Control Theory & Application, vol. 20, no. 4, pp 599-602. (in Chinese), Link
  24. 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
  25. 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
  26. 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
  27. 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:

  28. 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
  29. 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
  30. 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:

  31. Li, S., Si, Y., Wen, D., Yang, W., Zhang, G., & Zhu, P. (2020). Automatic recognition of arrhythmia using a CNN-based broad learning system. IEEE International Conference on Cyber Science and Technology, IEEE CyberSciTech 2020, Calgary, AB, Canada, 2020, pp. 237-244. IEEE., DOI
  32. Murshed, M., Dewan, M. A., Lin, F., & Wen, D. (2019). Engagement detection in e-learning environments using convolutional neural networks. IEEE International Conference on Cyber Science and Technology, IEEE CyberSciTech 2019, Fukuoka, Japan, August 2019, pp. 80-86. IEEE., DOI
  33. Dewan, M. A., Lin, F., Wen, D., Murshed, M., & Uddin, Z. (2018). A deep learning approach to detecting engagement of online learners. IEEE International Conference on Internet of People, IEEE IoP 2018, Guangzhou, China, October 2018, pp. 1895-1902, IEEE., DOI
  34. Huang W-B, Wen, D., Dewan, M. A., Yang. Y., & Wang, K. (2018). Automatic Detection of Optic Disc in Retina Image Using CNN and CRF. IEEE International Conference on Internet of People, IEEE IoP 2018, Guangzhou, China, October 2018, pp. 1917-1922, IEEE., DOI
  35. Yan, Y., Wen, D., Dewan, M. A., & Huang W-B. (2017). Classification of Artery and Vein in Retinal Fundus Images Based on the Context-Dependent Features. In: Duffy V. (eds) Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design. DHM 2017. Springer, Lecture Notes in Computer Science (LNCS), vol 10286, pp. 198-213, DOI
  36. Yu, J., Si, Y., Liu, X., Wen, D., Luo, T., & Lang, L. (2017). ECG Identification Based on PCA-RPROP. In: Duffy V. (eds) Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety. DHM 2017. Springer, Lecture Notes in Computer Science (LNCS), vol 10287, pp. 419-432, DOI
  37. Huang, W-B., Wen, D., Yan, Y., Yuan, M., & Wang, K. (2016). Multi-target Osteosarcoma MRI Recognition with Texture Context Features Based on CRF. The Proceeding of 2016 International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, July 24-29, 2016, pp. 3978-3983, DOI
  38. Dewan, M. A., Qiao, D., Lin, F., Wen, D., Kinshuk. (2016). An Approach to Improving Single Sample Face Recognition by Using High Confident Tracking Trajectories. In Khoury, R., &  Drummond, C. (Eds.), Advances in Artificial Intelligence - Proceedings of the 29th Canadian Conference on Artificial Intelligence (Canadian AI 2016), LNCS/LNAI vol. 9673, pp 115-121, DOI
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. Fakinlede, I., Kumar, V., & Wen D. (2013). Knowledge Representation for Context and Sentiment Analysis. IEEE ICALT 2013, pp 493-494, DOI
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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)
  62. 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:

Czerwinski, J., MSc, 2022-, Trend Analysis in Natural Language Corpora, MSc IS Essay

Nagarajan, S., MITACS Globalink Research Intern, Summer 2022, Self-supervised learning for natural language understanding , Coimbatore Institute Of Technology

Romanowska, K., MSc, 2020-, Cyberbulling detection in social media, MSc IS Essay

Vadalkar, A., MITACS Globalink Research Intern, Summer 2021, Self-supervised learning for natural language understanding, SCTR's Pune Institute of Computer Technology

Ellis, R., MSc, 2016-2020, Text and image analysis using deep learning multimodal representation models, MSc IS Thesis

Laan, N., MSc, 2015-2019, Effects of Individual Differences and Visual Information Seeking on Learning Strategies in Essay Writing, MSc IS Thesis

Ponomarev, N., MSc, 2017-2018, Entity Resolution and Word Sense Disambiguation in Microblogging Text, MSc IS Essay

Mamatbekov, B., MSc.,2017-2018, Environment-Adaptive Q-Learning For Smart Home Energy Management, MSc IS Essay

DiFilippo, S., MSc, 2017, The Effect of Action-Selection in Reinforcement Learning, MSc IS Essay

Sheikh, M., MSc, 2016-2018, Sentiment Analysis using Deep Neural Networks, MSc IS Project

Nguyen, D., MITACS Globalink Research Intern, Summer 2016, Deep Learning for Natural Language Text and Image Analysis, Ho Chi Minh City University of Science

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

Huang, W., Visiting Scholar, 2016/07-2016/09, Probabilistic Graphical Models for Medical Image Segmentation and Recognition, 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, 2015-2016, Topic Recognition and Sentiment Analysis on Travel Reviews, MSc IS Essay

Risling, D., MSc, 2015-2016, Enhancing Organizational Knowledge Management Through Natural Language Processing, MSc IS Essay

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

Self-Supervised Learning for Natural Language Understanding. 2022. Mitacs Globalink Research Program. Faculty PI.

Self-Supervised Learning for Natural Language Understanding. 2021. Mitacs Globalink Research Program. Faculty PI.

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

https://www.athabascau.ca/science-and-technology/our-people/dunwei-grant-wen.html

Updated November 18 2015 by FST Technical Staff

AU is Canada's Online University, offering open and flexible distance learning with world-class online courses, undergraduate and graduate degree programs, and professional development options.