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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
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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 )
COMP 682 Data Mining
COMP 658 Computational Intelligence
COMP 602 Enterprise Information Management
COMP 504 Object Structure and Programming
COMP 503 Information Technology Hardware and Software
COMP 456 Artificial Intelligence and Expert Systems
COMP 418 Distributed Database Systems and Database Tuning
COMP 410 Software Engineering
COMP 314 Operating Systems
COMP 200 Introduction to Computing and Information Systems
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:
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- Jia, X., & Wen, D. (2007). A Survey of Ontology Learning from Text. Computer Science, vol. 34, no. 2, pp 181-185 (in Chinese), DOI
- 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
- 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
- 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
- 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
- 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
- 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:
- 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
- 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
- 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:
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Fakinlede, I., Kumar, V., & Wen D. (2013). Knowledge Representation for Context and Sentiment Analysis. IEEE ICALT 2013, pp 493-494, DOI
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- 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