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Jianguo Hao is currently a postdoctoral researcher at the National Institute of Health Data Science at Peking University, working with Prof. Luxia Zhang. He obtained his Ph.D. in Computer Science and Mathematics from the University of Québec in 2019 and his M.A.S. degree in Artificial Intelligence and Decision from Sorbonne University in 2014. His research interests focus on multi-modal medical data analysis, biomedical knowledge discovery, and clinical decision support systems. |
Journal Articles
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An Incremental Learning Method based on Formal Concept Analysis for Pattern Recognition in Nonstationary Sensor-based Smart Environments.
Jianguo Hao, Abdenour Bouzouane, Sébastien Gaboury*.
Pervasive and Mobile Computing, 2019.
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Recognizing Multi-resident Activities in Non-intrusive Sensor-based Smart Homes by Formal Concept Analysis.
Jianguo Hao*, Abdenour Bouzouane, Sébastien Gaboury.
Neurocomputing, 2018.
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Activity Inference Engine for Real-time Cognitive Assistance in Smart Environments.
Jianguo Hao*, Abdenour Bouzouane, Bruno Bouchard, Sébastien Gaboury.
Journal of Ambient Intelligence and Humanized Computing, 2017.
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Complex Behavioral Pattern Mining in Non-intrusive Sensor-based Smart Homes using An Intelligent Activity Inference Engine.
Jianguo Hao, Abdenour Bouzouane, Sébastien Gaboury*.
Journal of Reliable Intelligent Environments, 2017.
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Conference Proceedings
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Real-time Activity Prediction and Recognition in Smart Homes by Formal Concept Analysis.
Jianguo Hao, Bruno Bouchard, Abdenour Bouzouane, Sébastien Gaboury.
IEEE Conference on Intelligent Environments, 2016.
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Cognitive Errors Detection: Mining Behavioral Data Stream of People with Cognitive Impairment.
Jianguo Hao, Sébastien Gaboury, Bruno Bouchard.
ACM Conference on Pervasive Technologies Related to Assistive Environments, 2016.
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