libo
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- Supervisor of Master's Candidates
- Name (English):Li Bo
- Name (Pinyin):libo
- School/Department:College of Intelligence Science and Engineering
- Education Level:With Certificate of Graduation for Doctorate Study
- Degree:Doctoral Degree in Engineering
- Status:Employed
- Alma Mater:Harbin Institute of Technology,McMaster University
- Teacher College:College of Intelligent Systems Science and Engineering
- Discipline:Artificial Intelligence
Control Science and Engineering
Contact Information
- Email：
- PostalAddress：
- Scientific Research
Research Fields
array signal processing: beamforming, Direction-of-Arrivial (DOA) estimation, beamform resource allocation.
compressive sensing: sparse signal recovery, sparse Bayesian learning, sensing matrix design/learning.
Kalman filter: applying machine learning methods to addressing the problems in Kalman filter.
natural lanauge processing and speech processing.
classical topics in machine learning.
My research focuses on both statistical signal processing and machine learning, with a particular emphasis on applying machine learning algorithms to address challenges in the field of statistical signal processing. Specificically, I am interest at:
Paper Publications
MORE+
- .Robust Principal Component Analysis with Discriminant Sample Weight Learning:Submitted to IEEE Trans
- .Statistical Information Assisted Matching Pursuit for Sparse Signal Recovery in Compressive Sensing:Submitted to Digital Signal Processing
- .Ensemble Learning of Multi-kernel Kriging Surrogate Models using Regional Discrepancy and Space-filling Criteria-based Hybrid Sampling Method:Advanced Engineering Informatics,2023
- .Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach:IEEE Transactions on Vehicular Technology
- .Fast-Moving Jamming Suppression for UAV Navigation: A Minimum Dispersion Distortionless Response Beamforming Approach:IEEE Transactions on Vehicular Technology,2019
Patents
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Published Books
- ,Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python (Chinese),China Machine Press,2025
- ,Natural Language Understanding with Python (Chinese),China Machine Press,2024
- ,Python Machine Learning: machine learning with Pytorch and Scikit-learn (Chinese),Chine Machine Press,2024
Research Projects
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