2022, key note speaker at International Conference on Decarbonization and Digitalization in Marine Technology (ICDM2022). Presentation title is "The Research and Insight on Ship Digitalization and Intelligence"
19. Yue Yu, Mei Liu, Bo Li, Enhancing Resolvable Group Target Tracking: Integration of Labeled Multi-Bernoulli Filter with Deep Learning Approaches, accepted by IEEE Trans. on Aerospace and Electronics Systems.
18. Bo Li, Sparse Principal Component Analysis with Feature Elimination in Consistent Patterns. In preparation.
17. Yingzhuo Zhao, Ke Hu, Bo Li. Robust Principal Component Analysis with Discriminant Sample Weight Learning. In preparation.
15. Xiaobing Shang, Zhi Zhang, Hai Fang, Bo Li, Yunhui Li. Ensemble Learning of Multi-kernel Kriging Surrogate Models using Regional Discrepancy and Space-filling Criteria-based Hybrid Sampling Method. Advanced Engineering Informatics, vol. 58, 012186, 2023.
14. Weimin Bao, Liang Zhang, Lei Huang, Bo Li, Yin Jingwei, Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach, IEEE Transactions on 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 Transactions on 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 Electronics 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.
I obtained my Bachelor, Master and Phd degrees in Electronic and Information Engineering in 2008, Information and Communication Engineering in 2010 and Control Science and Engineering in 2015, respectively, all from Harbin Institute of Technology.
I joined Harbin Engineering University as an associate professor in 2020. My research interests focus on signal processing, machine learning, deep learning, natural language processing.
Before joining Harbin Engineering University, I have years of research experience as well as experience working in high-tech companies. The followings are my detailed education and professional experience.
Education
P.h.d: Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China, 2014. Master: Communication and Information Engineering, Harbin Institute of Technology, Harbin, P. R. China, 2010. B.S.: Electronic and Information Engineering, Harbin Institute of Technology, Harbin, P. R. China, 2008.
Research Interest
Machine learning, deep learning, natural language processing
robust linear/nonlinar dimension reduction, robust classifier.
word-embedding analysis, bias removal from word-embeddings.
opinion/aspect term extraction, clustering and classification.
text summary, generation and information extraction.
task-oriented dialog system.
training data augmentation. Signal processing
compressive sensing, sparse signal processing, Bayesian inference
DOA estimation, beamforming, radar signal processing, signal detection and estimation
target tracking
Publications
Journal papers
14. Weimin Bao, Liang Zhang, Lei Huang, Bo Li, Yin Jingwei, Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach, IEEE Transactions on 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 Transactions on 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 Electronics 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
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.
Machine learning, deep learning, natural language processing