Liefeng Bo,   Postdoctoral Scholar

Advisor: Cristian Sminchisescu

Toyota Technological Institute at Chicago (TTI-C)

Address: 6045 S. Kenwood Ave., University of Chicago, 60637, USA

Phone: 1-773-834-3482

Email: blf0218@tti-c.org, liefengbo@uchicago.edu, or liefengbo@gmail.com

MSN: blf0218@hotmail.com

Biography: I am a postdoctoral scholar at Toyota Technological Institute at Chicago (TTI-C), working on Machine learning and Computer vision. During 2002-2007, I have been with Institute of Intelligent Information Processing at Xidian University, where I received a doctorate in Circuits and Systems, with a specialization in Machine Learning. 

Selected Publications (Full List)

1. Liefeng Bo and Cristian Sminchisescu, Twin Gaussian Processes for Structured Prediction, International Journal of Computer Vision (IJCV), vol. 87, pp. 28-52, 2010. [PDF] [BIB]

2. Liefeng Bo and Cristian Sminchisescu, Efficient Match Kernels between Sets of Features for Visual Recognition, Advances in Neural Information Processing Systems (NIPS), December, 2009. (Spotlight Presentation, 8% Acceptance Ratio) [PDF] [BIB]

3. Jian Peng, Liefeng Bo, and Jinbo Xu, Conditional Neural Fields, Advances in Neural Information Processing Systems (NIPS), December, 2009. [PDF] [BIB] [CODE]

4. Catalin. Ionescu, Liefeng Bo, and Cristian Sminchisescu. Structural SVM for Visual Localization and Continuous State Estimation. In IEEE International Conference on Computer Vision (ICCV), September 2009. [PDF] [BIB]

5. Dong Han, Liefeng Bo, and Cristian Sminchisescu, Selection and Context for Action Recognition. In IEEE International Conference on Computer Vision (ICCV), September 2009. [PDF] [BIB]

6. Liefeng Bo and Cristian Sminchisescu, Structured Output-Associative Regression, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2009. [PDF] [BIB]

7. Liefeng Bo and Cristian Sminchisescu, Supervised Spectral Latent Variable Models, In The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), April 2009. [PDF] [BIB]

8. Liefeng Bo and Cristian Sminchisescu, Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression, In The Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI), July 2008. [PDF] [BIB] [CODE]

9. Liefeng Bo, Cristian Sminchisescu, Atul Kanaujia and Dimitirs Metaxas, Fast Algorithms for Large Scale Conditional 3D Prediction, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2008. [PDF] [BIB] [CODE]

10. Maoguo Gong, Licheng Jiao, Haifeng Du and Liefeng Bo, Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection, Evolutionary Computation (EC), vol. 16(2), pp. 225-255, 2008. [PDF] [BIB]

11. Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo and Maoguo Gong, Spectral Clustering Ensemble Applied to Texture Features for SAR Image Segmentation, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 46(7), pp. 2126-2135, 2008. [PDF] [BIB]

12. Liefeng Bo, Ling Wang, and Licheng Jiao, Training Hard Margin Support Vector Machine Using Greedy Stagewise Algorithm, IEEE Transactions on Neural Networks (TNN), vol. 19(8), pp. 1446-1455, 2008. [PDF] [BIB]

13. Liefeng Bo, Licheng Jiao and Ling Wang, Working Set Selection Using Functional Gain for LS-SVM, IEEE Transactions on Neural Networks (TNN), vol. 18(5), pp. 1541-1544, 2007. [PDF] [BIB] [CODE]

14. Licheng Jiao, Liefeng Bo, and Ling Wang, Fast Sparse Approximation for Least Square Support Vector Machine, IEEE Transactions on Neural Networks (TNN), vol. 18(3), pp. 685-697, 2007. [PDF] [BIB] [CODE]

15. Liefeng Bo, Ling Wang, and Licheng Jiao, Recursive Finite Newton Algorithm for Support Vector Regression in the Primal, Neural Computation (NECO), vol. 19(4), pp. 1082-1096, 2007. [PDF] [BIB] [CODE]

16. Liefeng Bo, Ling Wang, and Licheng Jiao, Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-one-out Cross Validation, Neural Computation (NECO), vol. 18(4), pp. 961-978, 2006. [PDF] [BIB] [CODE]