Refereed Journal Papers (*Postgraduate Students & Research Staff)

[1]X. Xu*, W. Li*, D. Xu and I. W. Tsang, “Co-Labeling for Multi-view Weakly Labeled Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Accepted (In Press).

[2]L. Niu*, W. Li* and D. Xu, “Exploiting Privileged Information from Web Data for Action and Event Recognition,” International Journal of Computer Vision (IJCV), Accepted (In Press).

[3]L. Niu*, X. Xu*, L. Chen*, L. Duan* and D. Xu, “Action and Event Recognition in Videos by Learning from Heterogeneous Web Sources,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Accepted (In Press).

[4]S. Xiao*, M. Tan, D. Xu and Z. Y. Dong, “Robust Kernel Low Rank Representation,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), Accepted (In Press).

[5]X. Xu*, W. Li* and D. Xu, “Distance Metric Learning using Privileged Information for Face Verification and Person Re-identification,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 26(12), pp. 3150-3162, December 2015.

[6]H. Fu*, D. Xu, B. Zhang, S. Lin and R. K. Ward, “Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph,” IEEE Transactions on Image Processing (T-IP), 24(11), pp. 3415-3424, November 2015.

[7]S. Xiao*, D. Xu and J. Wu, “Automatic Face Naming by Learning Discriminative Affinity Matrices from Weakly Labeled Images,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 26(10), pp. 2440-2452, October 2015.

[8]H. Fu*, D. Xu, S. Lin, D. W. K. Wong and J. Liu, “Automatic Optic Disc Detection in OCT Slice via Low-Rank Reconstruction,” IEEE Transactions on Biomedical Engineering (T-BME), 62(4), pp. 1151-1158, April 2015.

[9]S.Y. Yan*, X. Xu*, D. Xu, S. Lin and X. Li, “Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning,” IEEE Transactions on Cybernetics (T-CYB), 45(3), pp. 395-404, March 2015.

[10]Z. Cui*, W. Li*, D. Xu, S. Shan, X. Chen and X. Li, “Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance,” IEEE Transactions on Cybernetics (T-CYB), 44(12), pp. 2264-2273, December 2014.

[11]L. Meng*, A.H. Tan and D. Xu, “Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-clustering,” IEEE Transactions on Knowledge and Data Engineering (T-KDE) , 26(9), pp. 2293-2306, September 2014.

[12]B. Liu*, G. Cong, Y. Zeng, D. Xu and Y. M. Chee, “Influence Spreading Path and its Application to the Time Constrained Social Influence Maximization Problem and Beyond,” IEEE Transactions on Knowledge and Data Engineering (T-KDE), 26(8), pp. 1904-1917, August 2014.

[13]L. Chen*, D. Xu, I. W. Tsang and X. Li, “Spectral Embedded Hashing for Scalable Image Retrieval,” IEEE Transactions on Cybernetics (T-CYB), 44(7), pp. 1180-1190, July 2014.

[14]W. Li*, L. Duan*, D. Xu and I. W. Tsang, “Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 36(6), pp. 1134-1148, June 2014.

[15]H. Fu*, X. Cao, D. Tang, Y. Han and D. Xu, “Regularity Preserved Regular Superpixels and Supervoxels,” IEEE Transactions on Multimedia (T-MM), 16(4), pp. 1165-1175, June 2014.

[16]M. Kan*, D. Xu, S. Shan and X. Chen, “Semi-supervised Kernel Hyperplane Hashing for Scalable Image Search,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 24(4), pp. 704-713, April 2014.

[17]S. Wei*, D. Xu, X. Li and Y. Zhao, “Joint Optimization toward Effective and Efficient Image Search,” IEEE Transactions on Cybernetics (T-CYB), 43(6), pp. 2216-2227, December 2013.

[18]J. Liu, Z. Zhang, D. W. K. Wong, Y. Xu, F. Yin, J. Cheng, N. M. Tan, C. K. Kwoh, D. Xu, Y. C. Tham, T. Aung and T. Y. Wong, “Automatic Glaucoma Diagnosis through Medical Imaging Informatics,” Journal of the American Medical Informatics Association (JAMIA), 20(6), pp. 1021-1027, November 2013.

[19]Z. Xiong*, D. Xu, X. Sun and F. Wu, “Example-based Super-Resolution with Soft Information and Decision,” IEEE Transactions on Multimedia (T-MM), 15(6), pp. 1458-1465, October 2013.

[20]J. Han, L. Shao, D. Xu and J. Shotton, “Enhanced Computer Vision with Microsoft Kinect Sensor: A Review,” IEEE Transactions on Cybernetics (T-CYB), 43(5), pp. 1318-1334, October 2013.

[21]M. Kan*, D. Xu, S. Shan, W. Li* and X. Chen, “Learning Prototype Hyperplanes for Face Verification in the Wild,” IEEE Transactions on Image Processing (T-IP), 22(8), pp. 3310-3316, August 2013.

[22]X. Wu*, D. Xu, L. Duan, J. Luo and Y. Jia, “Action Recognition Using Multi-Level Features and Latent Structural SVM,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 23(8), pp. 1422-1431, August 2013.

[23]X. Xu*, I. W. Tsang and D. Xu, “Soft Margin Multiple Kernel Learning,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 24(5), pp. 749-761, May 2013.

[24]L. Duan*, D. Xu, I. W. Tsang and J. Luo, “Visual Event Recognition in Videos by Learning from Web Data,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 34(9), pp. 1667-1680, September 2012.

[25]H. Wang* and D. Xu, “Comprehensive Common Spatial Patterns with Temporal Structure Information of EEG Data: Minimizing Non-task Related EEG Component,” IEEE Transactions on Biomedical Engineering (T-BME), 59(9), pp. 2496-2505, September 2012.

[26]L. Chen*, D. Xu, I. W. Tsang and J. Luo, “Tag-based Image Retrieval Improved by Augmented Features and Group-based Refinement,” IEEE Transactions on Multimedia (T-MM), 14(4), pp. 1057-1067, August 2012. (Prize Paper Award)

[27]L. Chen*, I. W. Tsang and D. Xu, “Laplacian Embedded Regression for Scalable Manifold Regularization,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 23(6), pp. 902-915, June 2012.

[28]Y. Xu*, D. Xu, S. Lin, T. X. Han, X. Cao and X. Li, “Detection of Sudden Pedestrian Crossings for Driving Assistance Systems,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMC-B), 42(3), pp. 729-739, June 2012.

[29]Y. Yang*, F. Nie*, D. Xu, J. Luo, Y. Zhuang and Y. Pan, “A Multimedia Retrieval Framework based on Semi-Supervised Ranking and Relevance Feedback,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 34(4), pp. 723-742, April 2012.

[30]J. Li*, D. Xu and W. Gao, “Removing Label Ambiguity in Learning-based Visual Saliency Estimation,” IEEE Transactions on Image Processing (T-IP), 21(4), pp. 1513-1525, April 2012.

[31]L. Duan*, I. W. Tsang and D. Xu, “Domain Transfer Multiple Kernel Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 34(3), pp. 465-479, March 2012.

[32]L. Duan*, D. Xu and I. W. Tsang, “Domain Adaptation from Multiple Sources: A Domain-Dependent Regularization Approach,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 23(3), pp. 504-518, March 2012.

[33]Y. Huang*, D. Xu and F. Nie*, “Semi-supervised Dimension Reduction using Trace Ratio Criterion,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 23(3), pp. 519-526, March 2012.

[34]Y. Huang*, D. Xu and F. Nie*, “Patch Distribution Compatible Semi-Supervised Dimension Reduction for Face and Human Gait Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 22(3), pp. 479-488, March 2012.

[35]J. Feng, B. Ni, D. Xu and S. Yan, “Histogram Contextualization,” IEEE Transactions on Image Processing (T-IP), 21(2), pp. 778-788, February 2012.

[36]F. Nie*, D. Xu and X. Li, “Initialization Independent Clustering with Actively Self-Training Method,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMC-B), 42(1), pp. 17-27, February 2012.

[37]D. Xu, Y. Huang*, Z. Zeng* and X. Xu*, Human Gait Recognition using Patch Distribution Feature and Locality-constrained Group Sparse Representation,” IEEE Transactions on Image Processing (T-IP), 21(1), pp. 316-326, January 2012.

[38]F. Nie*, Z. Zeng*, I. W. Tsang, D. Xu and C. Zhang, “Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering, IEEE Transactions on Neural Networks (T-NN), 22(11), pp. 1796-1808, November 2011.

[39]L. Duan*, W. Li*, I. W. Tsang and D. Xu, “Improving Web Image Search by Bag-based Re-ranking,” IEEE Transactions on Image Processing (T-IP), 20(11), pp. 3280-3290, November 2011.

[40]F. Nie*, D. Xu, X. Li and S. M. Xiang, “Semi-Supervised Dimensionality Reduction and Classification through Virtual Label Regression,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMC-B), 41(3), pp. 675-685, June 2011.

[41]Y. Liu*, D. Xu, I. W. Tsang and J. Luo, “Textual Query of Personal Photos Facilitated by Large-scale Web Data,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 33(5), pp. 1022-1036, May 2011.

[42]Y. Yang*, Y. Zhuang, D. Tao, D. Xu, J. Yu and J. Luo, “Recognizing Cartoon Image Gestures for Retrieval and Interactive Cartoon Clip Synthesis,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 20(12), pp. 1745-1756, December 2010.

[43]Y. Yang*, D. Xu, F. Nie*, S. Yan and Y. Zhuang, “Image Clustering using Local Discriminant Models and Global Integration,” IEEE Transactions on Image Processing (T-IP), 19(10), pp. 2761-2773, October 2010. 

[44]Y. Huang*, M. S. Brown and D. Xu, “User-Assisted Ink-Bleed Reduction,” IEEE Transactions on Image Processing (T-IP), 19(10), pp. 2646-2658, October 2010.

[45]D. Xu, T. J. Cham, S. Yan, L. Duan* and S.-F. Chang, “Near Duplicate Identification with Spatially Aligned Pyramid Matching,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 20(8), pp. 1068-1079, August 2010.

[46]F. Nie*, D. Xu, I. W. Tsang and C. Zhang, “Flexible Manifold Embedding: A Framework for Semi-supervised and Unsupervised Dimension Reduction,” IEEE Transactions on Image Processing (T-IP), 19(7), pp. 1921-1932, July 2010.

[47]Y. Huang*, D. Xu and T. J. Cham, “Face and Human Gait Recognition Using Image-to-Class Distance,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 20(3), pp. 431-438, March 2010.

[48]D. Xu, S. Yan, S. Lin, T. S. Huang and S.-F. Chang, “Enhancing Bilinear Subspace Learning by Element Rearrangement,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 31(10), pp. 1913-1920, October 2009.

[49]D. Xu and S. Yan, “Semi-supervised Bilinear Subspace Learning,” IEEE Transactions on Image Processing (T-IP), 18(7), pp. 1671-1676, July 2009.

[50]D. Xu, S. Yan, S. Lin and T. S. Huang, “Convergent 2D Subspace Learning with Null Space Analysis,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 18(12), pp. 1753-1759, December 2008.

[51]D. Xu and S.-F. Chang, “Video Event Recognition using Kernel Methods with Multi-Level Temporal Alignment,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 30(11), pp. 1985-1997, November 2008.

[52]D. Xu, S. Yan and J. Luo, “Face Recognition Using Spatially Constrained Earth Mover’s Distance,” IEEE Transactions on Image Processing (T-IP), 17(11), pp. 2256-2260, November 2008.

[53]X. Li, S. Lin, S. Yan and D. Xu, “Discriminant Locally Linear Embedding with High Order Tensor Data,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMC-B), 38(2), pp. 342-352, April 2008.

[54]X. Li, S. J. Maybank, S. Yan, D. Tao and D. Xu, “Gait Components and Their Applications to Gender Recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part C (T-SMC-C), 38(2), pp. 145-155, March 2008.

[55]D. Xu, S. Yan, L. Zhang, S. Lin, H. Zhang and T. S. Huang, “Reconstruction and Recognition of Tensor-based Objects with Concurrent Subspaces Analysis,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 18(1), pp. 36-47, January 2008.

[56]D. Xu, S. Yan, D. Tao, S. Lin and H. Zhang, “Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content Based Image Retrieval,” IEEE Transactions on Image Processing (T-IP), 16(11), pp. 2811-2821, November 2007. 

[57]D. Xu, S. Lin, S. Yan and X. Tang, “Rank-one Projections with Adaptive Margin for Face Recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMC-B), 37(5), pp. 1226-1236, October 2007.

[58]S. Yan, Y. Hu, D. Xu, B. Zhang, H. Zhang and Q. Cheng, “Nonlinear Discriminant Analysis on Embedded Manifold,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 17(4), pp. 468-477, April 2007. 

[59]S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang and S. Lin, “Graph Embedding and Extensions: A General Framework for Dimensionality Reduction,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 29(1), pp. 40-51, January 2007. 

[60]S. Yan, D. XuQ. Yang, L. Zhang, X. Tang, and H. Zhang, “Multilinear Discriminant Analysis for Face Recognition,” IEEE Transactions on Image Processing (T-IP), 16(1), pp. 212-220, January 2007.

[61]S. Yan, D. Xu and X. Tang, “Face Verification with Balanced Thresholds,” IEEE Transactions on Image Processing (T-IP), 16(1), pp. 262-268, January 2007.

[62]D. Xu, S. Yan, D. Tao, L. Zhang, X. Li and H. Zhang, “Human Gait Recognition with Matrix Representation,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 16(7), pp. 896-903, July 2006.  

[63]D. Xu, J. Liu, X. Li, Z. Liu and X. Tang, “Insignificant Shadow Detection for Video Segmentation,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 15(8), pp. 1058-1064, August 2005.