Hong Chang

	2009
28		Bo Li, Hong Chang, Shiguang Shan, Xilin Chen: Coupled Metric Learning for Face Recognition with Degraded Images. ACML 2009: 220-233
27		Hong Chang, Xiaoliang Wei, Zuren Feng: Optimum associative neural network utilizing maximum likelihood. Neurocomputing 72(4-6): 1274-1282 (2009)
	2008
26		Behnam S. Arad, Hong Chang: A Behavioral Simulator for PCI-Express Transaction Layer. Computers and Their Applications 2008: 275-280
25		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
24		Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Hallucinating facial images and features. ICPR 2008: 1-4
23		Youhan Fang, Shiguang Shan, Hong Chang, Xilin Chen, Wen Gao: Parzen Discriminant Analysis. ICPR 2008: 1-4
22		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
21		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)
20		Hong Chang, Zuren Feng, Xiaoliang Wei: Object recognition and tracking with maximum likelihood bidirectional associative memory networks. Neurocomputing 72(1-3): 278-292 (2008)
19		Hong Chang, Dit-Yan Yeung: Robust path-based spectral clustering. Pattern Recognition 41(1): 191-203 (2008)
	2007
18		Dit-Yan Yeung, Hong Chang: Locally Smooth Metric Learning with Application to Image Retrieval. ICCV 2007: 1-7
17		Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143
16		Dit-Yan Yeung, Hong Chang: A Kernel Approach for Semisupervised Metric Learning. IEEE Transactions on Neural Networks 18(1): 141-149 (2007)
15		Hong Chang, Dit-Yan Yeung: Kernel-based distance metric learning for content-based image retrieval. Image Vision Comput. 25(5): 695-703 (2007)
14		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
13		Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung: A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI 2006
12		Hong Chang, Dit-Yan Yeung: Graph Laplacian Kernels for Object Classification from a Single Example. CVPR (2) 2006: 2011-2016
11		Guang Dai, Dit-Yan Yeung, Hong Chang: Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320
10		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
9		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)
8		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)
7		Hong Chang, Dit-Yan Yeung: Robust locally linear embedding. Pattern Recognition 39(6): 1053-1065 (2006)
6		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
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

Coauthor Index

1	Besma R. Abidi	[10] [25]
2	Mongi A. Abidi	[10] [25]
3	Behnam S. Arad	[26]
4	Xilin Chen	[23] [24] [28]
5	William Kwok-Wai Cheung (Kwok-Wai Cheung, William K. Cheung)	[9]
6	Guang Dai	[11] [14] [17] [21]
7	Youhan Fang	[23]
8	Zuren Feng	[20] [22] [27]
9	Wen Gao	[23] [24]
10	Susan E. George	[2]
11	Ramanujan S. Kashi	[2]
12	Liangjun Ke	[22]
13	Andreas Koschan	[10] [25]
14	Bo Li	[24] [28]
15	Takashi Matsumoto	[2]
16	Jeffrey Junfeng Pan	[13]
17	Zhigang Ren	[22]
18	Gerhard Rigoll	[2]
19	Shiguang Shan (Robert Shan)	[23] [24] [28]
20	Xiaoliang Wei	[20] [27]
21	Yimin Xiong	[2] [3]
22	Qiang Yang	[13]
23	Yi Yao	[25]
24	Dit-Yan Yeung	[1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [12] [13] [14] [15] [16] [17] [18] [19] [21]

Colors in the list of coauthors