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[Journal]

  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] [CODE]

  2. Jin Yuan, Liefeng Bo, Kesheng Wang and Tao Yu, Adaptive Spherical Gaussian Kernel in Sparse Bayesian Learning Framework for Nonlinear Regression, Expert Systems with Applications (ESWA), vol. 36(2), pp. 3982-3989, 2009. [PDF] [BIB]

  3. 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]

  4. 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]

  5. Maoguo Gong, Licheng Jiao, Liefeng Bo, Ling Wang and Xiangrong Zhang, Image Texture Classification Using a Manifold Distance based Evolutionary Clustering Method. Optical Engineering (OE), vol. 47(7), 077201, 2008. [PDF] [BIB]

  6. 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]

  7. 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]

  8. 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]

  9. 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]

  10. 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]

  11. Liefeng Bo, Licheng Jiao, and Ling Wang, MLPs-EFS Multi-layer Perceptrons with Embedded Feature Selection with Application in Cancer Classification, Chinese Journal of Electronics (CJE), vol. 15, pp. 832-835, 2006. [PDF] [BIB]

[Conference]

  1. Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox, Object Recognition with Hierarchical Kernel Descriptors, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011. [PDF] [BIB] [Project]

  2. Liefeng Bo, Xiaofeng Ren and Dieter Fox, Kernel Descriptors for Visual Recognition, Advances in Neural Information Processing Systems (NIPS), December, 2010. [PDF] [Spotlight] [Video] [BIB] [Project] (spotlight acceptance rate 6%)

  3. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, A Scalable Tree-based Approach for Joint Object and Pose Recognition, In the AAAI Conference on Artificial Intelligence (AAAI), August 2011. (oral + poster presentation)

  4. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, A Large-Scale Hierarchical Multi-View RGB-D Object Dataset, in IEEE International Conference on Robotics and Automation (ICRA), May, 2011. [PDF] [BIB] [Project]

  5. Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox, Sparse Distance Learning for Object Recognition Combining RGB and Depth Information, in IEEE International Conference on Robotics and Automation (ICRA), May, 2011. [PDF] [BIB]

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  6. Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Deisenroth, Liefeng Bo, Robert Chu,Michael Kung, Louis LeGrand, Joshua R. Smith and Dieter Fox, Gambit: An Autonomous Chess Playing Manipulator, in IEEE International Conference on Robotics and Automation (ICRA), May, 2011.

  7. 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 acceptance rate 8%) [PDF] [BIB]

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

  9. 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]

  10. 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]

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

  12. 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]

  13. 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]

  14. 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]

  15. Liefeng Bo and Cristian Sminchisescu, Twin Gaussian Processes for Structured Prediction. In Snowbird Learning Workshop, April 2008. [PDF] [BIB]

  16. Liefeng Bo, Ling Wang, and Licheng Jiao, Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal, In The Eleventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), vol. 4426, pp. 35-47, 2007.  [PDF] [BIB]

  17. Maoguo Gong, Licheng Jiao, Ling Wang and Liefeng Bo, Density-Sensitive Evolutionary Clustering, In The Eleventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), vol. 4426, pp. 507-515, 2007. [PDF] [BIB]

  18. Liefeng Bo, Ling Wang, and Licheng Jiao, Training Support Vector Machines using Greedy Stagewise Algorithm, In The Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science, vol. 3518, pp. 632-638, 2005. [PDF] [BIB]

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