Faculty Profile

I obtained bachelor's, master's and Ph.D.'s degrees in Electronic and Information Engineering in 2008, Information and Communication Engineering in 2010 and Control Science and Engineering in 2015,  all from Harbin Institute of Technology. In 2013, I earned the second master's degree in Electrical and Computer Engineering from McMaster University (Canada). 

I joined Harbin Engineering University as an associate professor in 2020. My research interests focus on signal processing, machine learning, deep learning and natural language processing. 

Prior to joining Harbin Engineering University, I had years of research experience and industrial experience working in high-tech companies.

Please contact me via email at libo520209@126.com if you want to pursue master's degrees with me as the supervisor.

For machine learning course information, please visit https://faculty.hrbeu.edu.cn/libo/zh_CN/zdylm/304392/list/index.htm.

Education

        Ph.D.: Control Science and Engineering, Harbin Institute of Technology, Harbin, China, 2014.

        Master: Electrical and Computer Engineering, McMaster University,  Hamilton, Canada, 2013. 

        Master: Communication and Information Engineering, Harbin Institute of Technology,  Harbin, China, 2010.

        Bachelor: Electronic and Information Engineering,  Harbin Institute of Technology, Harbin, China, 2008.

Working Experiences

        Associate Professor, Harbin Engineering University, Harbin, China,  from 2020.

        Speech Scientist, Cerence Technology, Montreal,  Canada, 2019. 

        NLU Developer, Nuance Communications, Montreal, Canada, 2019.

        Post-doc Researcher, École de Technologie Supérieure, Montreal, Canada, 2017.

Research Interest

        Machine learning, deep learning, natural language processing
                robust linear/nonlinear dimension reduction, robust classifier.
                opinion/aspect term extraction.

                short text clustering
       Signal processing
                compressive sensing, sparse signal processing, Bayesian inference

                DOA estimation, beamforming, radar signal processing, signal detection and estimation

                application of reinforcement learning in cognitive radar

Publications

Books

1. Sebastian Raschka (author)，Li Bo, etc. (translator), Python Machine Learning with PyTorch and Scikit-Learn（Chinese），China Machine Press, 2023.

2. Deborah A.Dahl (author), Li Bo, etc. (translator)，Python Natural Language Understanding（Chinese），China Machine Press, 2024.

3. Deepak K. Kanungo (author)，Li Bo, etc. (translator)，Probabilistic Machine Learning for Finance and Investing（Chinese），China Mahine Press，2025.

4. Suneeta Mall (author)，Li Bo, etc. (translator)，Deep Learning Scaled（Chinese），China Machine Press，2026.

5. Benyamin Ghojogh（author），Li Bo, etc. (translator)，Dimensionality Reduction and Manifold Learning（Chinese），Publishing House of Electronics Industry，to be published in 2026.

6. Aurélien Géron (author)，Li Bo, etc. (translator)，Hands-on Machine Learning with Scikit-Learn and PyTorch（Chinese），China Machine Press，to be published in 2026.

7. Iddo Drori (author)，Li Bo, etc. (translators)， The Science of Deep Learning（Chinese），China Machine Press，to be published in 2027.

8. Li Bo, etc.，Introduction of Deep Learning with Mindspore 2.0，Publishing House of Electronics Industry，to be published in 2027.

9. Li Bo, etc.，Machine Learning Simplified (Chinese)，China Machine Press，to be published in 2027.

10. Li Bo, etc., Machine Learning Explained (English), in preparation.

Journal papers

17. Zhihao Yao, Bo Li, Yufei Liao, Discriminative representation learning via attention-enhanced contrastive learning for short text clustering, Neural Networks, vol. 194, no. 108101, Feb., 2026.

16. Yue Yu, Mei Liu, Bo Li, Enhancing Resolvable Group Target Tracking: Integration of Labeled Multi-Bernoulli Filter with Deep Learning Approaches, IEEE Trans. on Aerospace and Electronics Systems, vol. 61, 2025.

15. Bo Li, Shuai Zhang, Robust Sensing Dictionary Design for the OMP Algorithm in Compressive Sensing, Signal Processing, vol. 227, 2025.

14. Weimin Bao, Liang Zhang, Lei Huang, Bo Li, Yin Jingwei, Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach, IEEE Trans. Vehicular Technology, vol. 68, pp. 8601-8612, 2019. 

13. Liang Zhang, Lei Huang, Bo Li, Min Huang, Jingwei Yin, Weimin Bao. Fast-Moving Jamming Suppression for UAV Navigation: A Minimum Dispersion Distortionless Response Beamforming Approach, IEEE Trans. Vehicular Technology, vol. 68-8, pp. 7815-7827, 2019. 

12. Wassim Bouachir, Rafik Gouiaa, Bo Li, RitaNoumeir. Intelligent video surveillance for real-time detection of suicide attempts. Pattern Recognition Letters, vol. 110, 2018. 

11. Liang Zhang, Lei Huang,  Bo Li，Thia Kirubarajan, Hing C. So. Robust minimum dispersion distortionless response beamforming against fast-moving interferences, Signal Processing (Elsevier), vol. 140, pp. 190-197, 2017. 

10. Bo Li, Liang Zhang, Yi Shen, T. Kirubarajan, Sreeraman Rajan. A projection matrix design method for MSE reduction in adaptive compressive sensing. Signal Processing (Elsevier), vol. 141, pp. 16-27, 2017. 

9. Bo Li, Liang Zhang, Yi Shen, T. Kirubarajan, Sreeraman Rajan. Projection matrix design with prior information for incoherent measurement dictionary in compressive sensing. Signal Processing (Elsevier), vol. 135, pp. 36-47, 2017. 

8. Bo Li, Yi Shen, Sreeraman Rajan, T. Kirubarajan. Theoretical results for sparse signal recovery with noises using generalized OMP algorithm. Signal Processing (Elsevier), vol. 117, pp. 270-278, 2015. 

7. Bo Li, Yi Shen, etc. Sufficient conditions for generalized Orthogonal Matching Pursuit in noisy case. Signal Processing (Elsevier), vol. 108, pp. 111-123, 2015. 

6. Qiang Wang, Zhenghua Wu, Mingjian Sun, Ting Liu, Bo Li, Naizhang Feng and Yi Shen. Single image super resolution using directional total variation and alternating direction method of multiplier solver. Journal of Eelectronics Imaging, vol. 24, no. 2, 2015.

5.  Bo Li, Yi Shen, Zhenghua Wu, Jia Li. Sensing and measurement dictionaries design for block orthogonal matching pursuit. Electronics Letters, vol. 50, no. 19, pp. 1351-1352，2014. 

4. Yi Shen ,  Bo Li, Wenlei Pan, Jia Li. Analysis of generalised orthogonal matching pursuit using restricted isometry constant. Electronics Letters, vol. 50, no. 14, pp. 1020-1022, 2014. 

3. Bo Li, Yi Shen and Jia Li. Dictionaries construction using alternating projection method in compressed sensing. IEEE Signal Processing Letters, vol. 18, no. 11, pp. 663-666, Nov., 2011. 

2. 谢俊好，李波. TR-R 高频地波雷达球面定位算法研究. 电子学报, vol. 40, no. 3, pp. 435-440, Mar., 2012.

1. 谢俊好，李波, 等. TR-R 高频地波雷达探测范围分析. 电波科学学报, no. 2, pp. 234-238, 2010.

Conference papers

4. Zhihao Yao, Bo Li, etc., Adaptive Backtracking for Privacy Protection in Large Language Models, accepted by findings of ACL 2026. 

3. Bo Li，Wassim Bouachir，Rita Noumeir. Automated 3D video based hanging suicide detection using Kinect Cameras. In preparation. Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017, Montreal.

 2. Jia Li，Qiang Wang，Yi Shen and Bo Li. Performance analysis of OMP algorithm in recovering magnitude decaying sparse signals in compressive sensing, 2013 IEEE Conference on I2MTC, pp. 1781-1785, 2013.

 1. Yi Shen，Bo Li and Zhenghua Wu. Fast OOMP algorithm and its application in compressed sensing. 2011 IEEE Conference on I2MTC, pp. 520-524, 2011.