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| 2011 | ||
|---|---|---|
| 43 | Yuelei Xie, Hong Chang, Zhe Li, Luhong Liang, Xilin Chen, Debin Zhao: A unified framework for locating and recognizing human actions. CVPR 2011: 25-32 | |
| 42 | Dan Wang, Xiujuan Chai, Hongming Zhang, Hong Chang, Wei Zeng, Shiguang Shan: A novel coarse-to-fine hair segmentation method. FG 2011: 233-238 | |
| 41 | Andreas Koschan, Yi Yao, Hong Chang, Mongi A. Abidi: Multispectral Face Imaging and Analysis. Handbook of Face Recognition 2011: 401-428 | |
| 2010 | ||
| 40 | Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Manifold Alignment via Corresponding Projections. BMVC 2010: 1-11 | |
| 39 | Xiaopeng Hong, Hong Chang, Xilin Chen, Wen Gao: Boosted Sigma Set for Pedestrian Detection. ICPR 2010: 3017-3020 | |
| 38 | Bin Wang, Hong Chang: Strong tectonic andweak climatic control of the geomorphologic and geological features inwest kunlun. IGARSS 2010: 2155-2158 | |
| 37 | Hong Chang, Andreas Koschan, Besma Roui-Abidi, Mongi A. Abidi: Fusing continuous spectral images for face recognition under indoor and outdoor illuminants. Mach. Vis. Appl. 21(2): 201-215 (2010) | |
| 2009 | ||
| 36 | Bo Li, Hong Chang, Shiguang Shan, Xilin Chen: Coupled Metric Learning for Face Recognition with Degraded Images. ACML 2009: 220-233 | |
| 35 | Deming Zhai, Hong Chang, Bo Li, Shiguang Shan, Xilin Chen, Wen Gao: Semi-Supervised Discriminant Analysis via Spectral Transduction. BMVC 2009 | |
| 34 | Xiaopeng Hong, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Sigma Set: A small second order statistical region descriptor. CVPR 2009: 1802-1809 | |
| 33 | Bo Li, Hong Chang, Shiguang Shan, Xilin Chen: Locality preserving constraints for super-resolution with neighbor embedding. ICIP 2009: 1189-1192 | |
| 32 | Hong Chang, Yi Yao, Andreas Koschan, Besma R. Abidi, Mongi A. Abidi: Improving face recognition via narrowband spectral range selection using Jeffrey divergence. IEEE Transactions on Information Forensics and Security 4(1): 111-122 (2009) | |
| 31 | Hong Chang, Xiaoliang Wei, Zuren Feng: Optimum associative neural network utilizing maximum likelihood. Neurocomputing 72(4-6): 1274-1282 (2009) | |
| 2008 | ||
| 30 | Behnam S. Arad, Hong Chang: A Behavioral Simulator for PCI-Express Transaction Layer. Computers and Their Applications 2008: 275-280 | |
| 29 | Hong Chang, Yi Yao, Andreas Koschan, Besma R. Abidi, Mongi A. Abidi: Spectral range selection for face recognition under various illuminations. ICIP 2008: 2756-2759 | |
| 28 | Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Hallucinating facial images and features. ICPR 2008: 1-4 | |
| 27 | Youhan Fang, Shiguang Shan, Hong Chang, Xilin Chen, Wen Gao: Parzen Discriminant Analysis. ICPR 2008: 1-4 | |
| 26 | Zhigang Ren, Zuren Feng, Liangjun Ke, Hong Chang: A fast and efficient ant colony optimization approach for the set covering problem. IEEE Congress on Evolutionary Computation 2008: 1839-1844 | |
| 25 | Yougui Song, Zhengtao Shi, Hongmei Dong, Junsheng Nie, Libo Qian, Hong Chang, Xiaoke Qiang: Loess Magnetic Susceptibility in Central Asia and its Paleoclimatic Significance. IGARSS (2) 2008: 1227-1230 | |
| 24 | Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Computation 20(11): 2839-2861 (2008) | |
| 23 | Hong Chang, Zuren Feng, Xiaoliang Wei: Object recognition and tracking with maximum likelihood bidirectional associative memory networks. Neurocomputing 72(1-3): 278-292 (2008) | |
| 22 | Hong Chang, Dit-Yan Yeung: Robust path-based spectral clustering. Pattern Recognition 41(1): 191-203 (2008) | |
| 2007 | ||
| 21 | Dit-Yan Yeung, Hong Chang: Locally Smooth Metric Learning with Application to Image Retrieval. ICCV 2007: 1-7 | |
| 20 | Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143 | |
| 19 | Dit-Yan Yeung, Hong Chang: A Kernel Approach for Semisupervised Metric Learning. IEEE Transactions on Neural Networks 18(1): 141-149 (2007) | |
| 18 | Hong Chang, Dit-Yan Yeung: Kernel-based distance metric learning for content-based image retrieval. Image Vision Comput. 25(5): 695-703 (2007) | |
| 17 | Dit-Yan Yeung, Hong Chang, Guang Dai: Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognition 40(7): 2021-2028 (2007) | |
| 2006 | ||
| 16 | Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung: A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI 2006: 988-993 | |
| 15 | Hong Chang, Dit-Yan Yeung: Graph Laplacian Kernels for Object Classification from a Single Example. CVPR (2) 2006: 2011-2016 | |
| 14 | Guang Dai, Dit-Yan Yeung, Hong Chang: Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320 | |
| 13 | Hong Chang, Andreas Koschan, Besma R. Abidi, Mongi A. Abidi: Physics-based Fusion of Multispectral Data for Improved Face Recognition. ICPR (3) 2006: 1083-1086 | |
| 12 | Hong Chang, Zhisheng An, Xiaoke Qiang, Yougui Song, Chaofeng Fu: The Causes of Fluvial Terraces Inland and Its Implication. IGARSS 2006: 1537-1540 | |
| 11 | Jianyun Gao, Ziwang Deng, Hong Chang, Lijun You, Rongyan Zhang, Xiufang Lin: On the Relation between Asian Summer Monsoon and Flood/Drought Events During July September in Fujian Province. IGARSS 2006: 604-607 | |
| 10 | Hong Chang, Dit-Yan Yeung, William K. Cheung: Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognition 39(10): 1905-1917 (2006) | |
| 9 | Dit-Yan Yeung, Hong Chang: Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognition 39(5): 1007-1010 (2006) | |
| 8 | Hong Chang, Dit-Yan Yeung: Robust locally linear embedding. Pattern Recognition 39(6): 1053-1065 (2006) | |
| 7 | Hong Chang, Dit-Yan Yeung: Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. Pattern Recognition 39(7): 1253-1264 (2006) | |
| 2005 | ||
| 6 | Hong Chang, Dit-Yan Yeung: Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance. BMVC 2005 | |
| 5 | Hong Chang, Dit-Yan Yeung: Robust Path-Based Spectral Clustering with Application to Image Segmentation. ICCV 2005: 278-285 | |
| 4 | Hong Chang, Dit-Yan Yeung: Kernel-Based Metric Adaptation with Pairwise Constraints. ICMLC 2005: 721-730 | |
| 2004 | ||
| 3 | Hong Chang, Dit-Yan Yeung, Yimin Xiong: Super-Resolution through Neighbor Embedding. CVPR (1) 2004: 275-282 | |
| 2 | Dit-Yan Yeung, Hong Chang, Yimin Xiong, Susan E. George, Ramanujan S. Kashi, Takashi Matsumoto, Gerhard Rigoll: SVC2004: First International Signature Verification Competition. ICBA 2004: 16-22 | |
| 1 | Hong Chang, Dit-Yan Yeung: Locally linear metric adaptation for semi-supervised clustering. ICML 2004 | |
Colors in the list of coauthors
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