[J6] Xu-Ying Liu, Jianxin Wu, and Zhi-Hua Zhou. Exploratory under-sampling for class-imbalance learning. IEEE Transactions on Systems, Man, and Cybernetics -- Part B: Cybernetics, 39(2), 2009: pp. 539-550.

[J5] Jianxin Wu, S. Charles Brubaker, Matthew D. Mullin, James M. Rehg: Fast Asymmetric Learning for Cascade Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(3), 2008: pp. 369-382. [code]

[J4] S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg. On the Design of Cascades of Boosted Ensembles for Face Detection. International Journal of Computer Vision, 77(1-3), 2008, pp.65-86.

[J3] Jianxin Wu, Zhi-Hua Zhou. Efficient Face Candidates Selector for Face Detection, Pattern Recognition, 36(5), 2003: 1175-1186.

[J2] Zhi-Hua Zhou, Jianxin Wu, Wei Tang. Ensembling Neural Networks: Many Could Be Better Than All, Artificial Intelligence, 137(1-2), 2002: 239-263.

[J1] Jianxin Wu, Zhi-Hua Zhou. Face Recognition with One Training Image per Person. Pattern Recognition Letters, 23(14), 2002: 1711-1719.

[C9] Jianxin Wu, Henrik Christensen, James M. Rehg. Visual Place Categorization: Problem, Dataset, and Algorithm. IROS 2009: The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, Oct. 11-15, 2009.

[C8] Jianxin Wu, James M. Rehg. Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel. ICCV 2009, Kyoto, Japan, Sep. 27-Oct. 4, 2009. [project page] [code]

[C7] Jianxin Wu, James M. Rehg. Where am I: Place instance and category recognition using spatial PACT. CVPR 2008, Anchorage, Alaska, June 24-26, 2008. [code]

[C6] Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg. A Scalable Approach to Activity Recognition based on Object Use. ICCV 2007, Rio de Janeiro, Brazil, October 14-20, 2007.

[C5] Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou. Exploratory Under-Sampling for Class-Imbalance Learning. ICDM 2006: pages 965-969.

[C4] Jianxin Wu, Matthew D. Mullin, James M. Rehg. Linear Asymmetric Classifier for Cascade Detectors, ICML 2005, pages 993-1000.

[C3] Jianxin Wu, James M. Rehg, Matthew D. Mullin. Learning a Rare Event Detection Cascade by Direct Feature Selection, NIPS 16, pages 1523-1530.

[C2] Zhi-Hua Zhou, Jian-Xin Wu, Yuan Jiang, Shi-Fu Chen, Genetic algorithm based selective neural network ensemble. In: Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI-01), Seattle, WA, San Francisco, CA: Morgan Kaufmann, 2001, vol.2, pages 797-802.

Note: Nominated for IJCAI-01 Distinguished Paper award

[C1] Jian-Xin Wu, Zhi-Hua Zhou, Zhao-Qian Chen. Ensemble of GA based selective neural network ensembles. In: Proceedings of the 8th International Conference on Neural Information Processing (ICONIP2001), Shanghai, China, 2001, vol. 3, pages 1477-1482.

Visual Place Categorization, Ph.D. Dissertation in College of Computing, Georgia Institute of Technology, supervised by Dr. James M. Rehg, August 2009.

PDF file, about 4.7M.

[W3] Jianxin WU and James M Rehg: CENTRIST: A Visual Descriptor for Scene Categorization, Tech report GIT-GVU-09-05, GVU Center, Georgia Institute of Technology.

[W2] S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg: Towards the Optimal Training of Cascades of Boosted Ensembles. Toward Category-Level Object Recognition 2006 (LNCS 4170): pages 301-320.

[W1] Jianxin Wu, James M. Rehg, Matthew D. Mullin. Learning a Rare Event Detection Cascade by Direct Feature Selection, to appear in SCTV 2003, in conjunction with ICCV 2003.