Jieping Ye

	2012
117		Rita Chattopadhyay, Mark Jesunathadas, Brach Poston, Marco Santello, Jieping Ye, Sethuraman Panchanathan: A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction. IEEE Trans. Biomed. Engineering 59(6): 1749-1757 (2012)
116		Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou: Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 98-112 (2012)
115		Ji Liu, Jun Liu, Peter Wonka, Jieping Ye: Sparse non-negative tensor factorization using columnwise coordinate descent. Pattern Recognition 45(1): 649-656 (2012)
114		Jianhui Chen, Ji Liu, Jieping Ye: Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. TKDD 5(4): 22 (2012)
	2011
113		Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan: Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG). AAAI Spring Symposium: Computational Physiology 2011
112		Jianhui Chen, Jiayu Zhou, Jieping Ye: Integrating low-rank and group-sparse structures for robust multi-task learning. KDD 2011: 42-50
111		Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson: Multi-source domain adaptation and its application to early detection of fatigue. KDD 2011: 717-725
110		Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye: A multi-task learning formulation for predicting disease progression. KDD 2011: 814-822
109		Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman: Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. KDD 2011: 931-939
108		Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman: Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. NIPS 2011: 1431-1439
107		Lei Yuan, Jun Liu, Jieping Ye: Efficient Methods for Overlapping Group Lasso. NIPS 2011: 352-360
106		Jun Liu, Liang Sun, Jieping Ye: Projection onto A Nonnegative Max-Heap. NIPS 2011: 487-495
105		Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye: A Two-Stage Weighting Framework for Multi-Source Domain Adaptation. NIPS 2011: 505-513
104		Jiayu Zhou, Jianhui Chen, Jieping Ye: Clustered Multi-Task Learning Via Alternating Structure Optimization. NIPS 2011: 702-710
103		Sudhir Kumar, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T. Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L. Karr, Kristyn Gerold, Michael McCutchan, Stuart J. Newfeld: FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis. Bioinformatics 27(23): 3319-3320 (2011)
102		Shipeng Yu, Jinbo Bi, Jieping Ye: Matrix-variate and higher-order probabilistic projections. Data Min. Knowl. Discov. 22(3): 372-392 (2011)
101		Jieping Ye, Teresa Wu, Jing Li, Kewei Chen: Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease. IEEE Computer 44(4): 99-101 (2011)
100		Liang Sun, Shuiwang Ji, Jieping Ye: Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 194-200 (2011)
99		Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu: Efficient Sparse Generalized Multiple Kernel Learning. IEEE Transactions on Neural Networks 22(3): 433-446 (2011)
	2010
98		Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye: Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. ICMLA 2010: 235-242
97		Jianhui Chen, Ji Liu, Jieping Ye: Learning incoherent sparse and low-rank patterns from multiple tasks. KDD 2010: 1179-1188
96		Liang Sun, Betul Ceran, Jieping Ye: A scalable two-stage approach for a class of dimensionality reduction techniques. KDD 2010: 313-322
95		Jun Liu, Lei Yuan, Jieping Ye: An efficient algorithm for a class of fused lasso problems. KDD 2010: 323-332
94		Ji Liu, Peter Wonka, Jieping Ye: Multi-Stage Dantzig Selector. NIPS 2010: 1450-1458
93		Jun Liu, Jieping Ye: Moreau-Yosida Regularization for Grouped Tree Structure Learning. NIPS 2010: 1459-1467
92		Ivaylo Ilinkin, Jieping Ye, Ravi Janardan: Multiple structure alignment and consensus identification for proteins. BMC Bioinformatics 11: 71 (2010)
91		Jun Liu, Jieping Ye: Fast Overlapping Group Lasso CoRR abs/1009.0306: (2010)
90		Jun Liu, Jieping Ye: Efficient L1/Lq Norm Regularization CoRR abs/1009.4766: (2010)
89		Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye: Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning. SIAM Journal on Optimization 20(6): 3465-3489 (2010)
88		Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: A shared-subspace learning framework for multi-label classification. TKDD 4(2): (2010)
	2009
87		Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye: Tensor completion for estimating missing values in visual data. ICCV 2009: 2114-2121
86		Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for a class of generalized eigenvalue problems in machine learning. ICML 2009: 123
85		Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King: Non-monotonic feature selection. ICML 2009: 144
84		Liu Yang, Rong Jin, Jieping Ye: Online learning by ellipsoid method. ICML 2009: 145
83		Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye: A convex formulation for learning shared structures from multiple tasks. ICML 2009: 18
82		Shuiwang Ji, Jieping Ye: An accelerated gradient method for trace norm minimization. ICML 2009: 58
81		Jun Liu, Jieping Ye: Efficient Euclidean projections in linear time. ICML 2009: 83
80		Shuiwang Ji, Jieping Ye: Linear Dimensionality Reduction for Multi-label Classification. IJCAI 2009: 1077-1082
79		Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye: Learning the Optimal Neighborhood Kernel for Classification. IJCAI 2009: 1144-1149
78		Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye: On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. IJCAI 2009: 1230-1235
77		Lei Tang, Jianhui Chen, Jieping Ye: On Multiple Kernel Learning with Multiple Labels. IJCAI 2009: 1255-1260
76		Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye: Multiclass Probabilistic Kernel Discriminant Analysis. IJCAI 2009: 1363-1368
75		Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou: DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. IJCAI 2009: 1445-1450
74		Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye: Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. KDD 2009: 1335-1344
73		Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye: Drosophila gene expression pattern annotation using sparse features and term-term interactions. KDD 2009: 407-416
72		Jun Liu, Jianhui Chen, Jieping Ye: Large-scale sparse logistic regression. KDD 2009: 547-556
71		Bao-Hong Shen, Shuiwang Ji, Jieping Ye: Mining discrete patterns via binary matrix factorization. KDD 2009: 757-766
70		Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye: Efficient Recovery of Jointly Sparse Vectors. NIPS 2009: 1812-1820
69		Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye: Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. NIPS 2009: 808-816
68		Jun Liu, Shuiwang Ji, Jieping Ye: Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization. UAI 2009: 339-348
67		Qi Li, Jieping Ye, Chandra Kambhamettu: Interest Pixel Mining. Encyclopedia of Data Warehousing and Mining 2009: 1091-1096
66		Jieping Ye, Ravi Janardan, Sudhir Kumar: Biological Image Analysis via Matrix Approximation. Encyclopedia of Data Warehousing and Mining 2009: 166-170
65		Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye: A bag-of-words approach for Drosophila gene expression pattern annotation. BMC Bioinformatics 10: (2009)
64		Mingrui Wu, Jieping Ye: A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2088-2092 (2009)
63		Saif Ali, Jieping Ye, Anshuman Razdan, Peter Wonka: Compressed Facade Displacement Maps. IEEE Trans. Vis. Comput. Graph. 15(2): 262-273 (2009)
	2008
62		M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez: The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007 IEEE Computer Society 2008
61		Shuiwang Ji, Jieping Ye: A unified framework for generalized Linear Discriminant Analysis. CVPR 2008
60		Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for canonical correlation analysis. ICML 2008: 1024-1031
59		Jianhui Chen, Jieping Ye: Training SVM with indefinite kernels. ICML 2008: 136-143
58		Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman: Heterogeneous data fusion for alzheimer's disease study. KDD 2008: 1025-1033
57		Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye: Learning subspace kernels for classification. KDD 2008: 106-114
56		Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: Extracting shared subspace for multi-label classification. KDD 2008: 381-389
55		Liang Sun, Shuiwang Ji, Jieping Ye: Hypergraph spectral learning for multi-label classification. KDD 2008: 668-676
54		Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang: Identifying biologically relevant genes via multiple heterogeneous data sources. KDD 2008: 839-847
53		Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye: Multi-label Multiple Kernel Learning. NIPS 2008: 777-784
52		Liang Sun, Shuiwang Ji, Jieping Ye: Adaptive diffusion kernel learning from biological networks for protein function prediction. BMC Bioinformatics 9: (2008)
51		Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye: Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. Bioinformatics 24(17): 1881-1888 (2008)
50		Shuiwang Ji, Jieping Ye: Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study. IEEE Trans. Knowl. Data Eng. 20(10): 1311-1321 (2008)
49		Shuiwang Ji, Jieping Ye: Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. IEEE Transactions on Neural Networks 19(10): 1768-1782 (2008)
48		Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu: Adaptive Appearance Based Face Recognition. International Journal on Artificial Intelligence Tools 17(1): 175-193 (2008)
47		Jieping Ye: Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion. Journal of Machine Learning Research 9: 517-519 (2008)
46		Jieping Ye, Shuiwang Ji, Jianhui Chen: Multi-class Discriminant Kernel Learning via Convex Programming. Journal of Machine Learning Research 9: 719-758 (2008)
45		Qi Li, Chandra Kambhamettu, Jieping Ye: An evaluation of identity representability of facial expressions using feature distributions. Neurocomputing 71(10-12): 1902-1912 (2008)
44		Qi Li, Jieping Ye, Chandra Kambhamettu: Interest point detection using imbalance oriented selection. Pattern Recognition 41(2): 672-688 (2008)
43		Jieping Ye, Jianhui Chen, Ravi Janardan, Sudhir Kumar: Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA. TKDD 2(1): (2008)
	2007
42		Jieping Ye, Zheng Zhao, Huan Liu: Adaptive Distance Metric Learning for Clustering. CVPR 2007
41		Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan: Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. CVPR 2007
40		Jianhui Chen, Jieping Ye, Qi Li: Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. CVPR 2007
39		Jieping Ye: Least squares linear discriminant analysis. ICML 2007: 1087-1093
38		Jieping Ye, Jianhui Chen, Shuiwang Ji: Discriminant kernel and regularization parameter learning via semidefinite programming. ICML 2007: 1095-1102
37		Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu: Nonlinear adaptive distance metric learning for clustering. KDD 2007: 123-132
36		Jieping Ye, Shuiwang Ji, Jianhui Chen: Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. KDD 2007: 854-863
35		Jieping Ye, Zheng Zhao, Mingrui Wu: Discriminative K-means for Clustering. NIPS 2007
34		Jieping Ye, Tao Xiong: SVM versus Least Squares SVM. Journal of Machine Learning Research - Proceedings Track 2: 644-651 (2007)
	2006
33		M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu: The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006 IEEE Computer Society 2006
32		Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu: Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539
31		Tao Xiong, Jieping Ye, Vladimir Cherkassky: Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. CVPR (1) 2006: 125-131
30		Jieping Ye, Tao Xiong: Null space versus orthogonal linear discriminant analysis. ICML 2006: 1073-1080
29		Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu: Adaptive Appearance Based Face Recognition. ICTAI 2006: 677-684
28		Jieping Ye, Tie Wang: Regularized discriminant analysis for high dimensional, low sample size data. KDD 2006: 454-463
27		Jieping Ye, Tao Xiong, Ravi Janardan: CPM: A Covariance-preserving Projection Method. SDM 2006
26		Jieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom: Multiple Structure Alignment and Consensus Identification for Proteins. WABI 2006: 115-125
25		Jieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 18(10): 1312-1322 (2006)
24		Jieping Ye, Tao Xiong: Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis. Journal of Machine Learning Research 7: 1183-1204 (2006)
23		Qi Li, Jieping Ye, Chandra Kambhamettu: Spatial interest pixels (SIPs): useful low-level features of visual media data. Multimedia Tools Appl. 30(1): 89-108 (2006)
	2005
22		Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005
21		Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. 17(9): 1208-1222 (2005)
20		Jieping Ye, Qi Li: A Two-Stage Linear Discriminant Analysis via QR-Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 929-941 (2005)
19		Jieping Ye: Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems. Journal of Machine Learning Research 6: 483-502 (2005)
18		Jieping Ye: Generalized Low Rank Approximations of Matrices. Machine Learning 61(1-3): 167-191 (2005)
	2004
17		Qi Li, Jieping Ye, Chandra Kambhamettu: Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study. CVPR (2) 2004: 474-481
16		Jieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature extraction via generalized uncorrelated linear discriminant analysis. ICML 2004
15		Jieping Ye: Generalized low rank approximations of matrices. ICML 2004
14		Jieping Ye, Ravi Janardan, Qi Li: GPCA: an efficient dimension reduction scheme for image compression and retrieval. KDD 2004: 354-363
13		Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD 2004: 364-373
12		Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky: Efficient Kernel Discriminant Analysis via QR Decomposition. NIPS 2004
11		Jieping Ye, Ravi Janardan, Qi Li: Two-Dimensional Linear Discriminant Analysis. NIPS 2004
10		Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 982-994 (2004)
9		Jieping Ye, Tao Li, Tao Xiong, Ravi Janardan: Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 1(4): 181-190 (2004)
8		Jieping Ye, Ravi Janardan, Songtao Liu: Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation. J. Bioinformatics and Computational Biology 2(4): 699-718 (2004)
7		Jieping Ye, Ravi Janardan: Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance. Journal of Computational Biology 11(5): 986-1000 (2004)
6		Jieping Ye, Qi Li: LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation. Pattern Recognition 37(4): 851-854 (2004)
	2003
5		Qi Li, Jieping Ye, Chandra Kambhamettu: Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. ICDM 2003: 163-170
4		Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM 2003: 419-426
3		Jieping Ye, Ravi Janardan, Songtao Liu: Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry. ICTAI 2003: 2-8
	2000
2		Ruibin Qu, Jieping Ye: Approximation of minimum energy curves. Applied Mathematics and Computation 108(2-3): 153-166 (2000)
1		Ruibin Qu, Jieping Ye: Efficient approximation of minimum energy curves with interpolatory constraints. Applied Mathematics and Computation 109(2-3): 151-166 (2000)

Coauthor Index

1	Gene E. Alexander	[58]
2	Saif Ali	[63]
3	Min Bae	[58]
4	Vineeth Nallure Balasubramanian	[41] [98]
5	Jinbo Bi	[32] [102]
6	Thomas Brody	[103]
7	Christopher Busick	[103]
8	Betul Ceran	[57] [96]
9	Shayok Chakraborty	[98]
10	Yung Chang	[54]
11	Rita Chattopadhyay	[105] [111] [113] [117]
12	Jianhui Chen	[36] [37] [38] [40] [43] [46] [57] [59] [70] [72] [77] [79] [83] [97] [104] [112] [114]
13	Kewei Chen	[58] [69] [74] [101] [108] [109]
14	Songcan Chen	[79]
15	Xue-wen Chen	[62]
16	Vladimir Cherkassky	[12] [31] [32]
17	Ian Davidson	[111]
18	Kailah T. Davis	[103]
19	Chris H. Q. Ding (Hong Q. Ding)	[22]
20	Bernard Van Emden	[103]
21	Wei Fan	[111]
22	Adam Fleisher	[69] [108] [109]
23	Kristyn Gerold	[103]
24	Khalid Hafeez	[62]
25	Shuai Huang	[69] [108] [109]
26	Ivaylo Ilinkin	[26] [92]
27	Adam Isom	[26]
28	Ravi Janardan	[3] [4] [7] [8] [9] [10] [11] [12] [13] [14] [16] [21] [25] [26] [27] [32] [43] [58] [66] [92]
29	Mark Jesunathadas	[117]
30	Shuiwang Ji	[36] [38] [46] [49] [50] [51] [52] [53] [55] [56] [57] [60] [61] [65] [68] [71] [73] [75] [78] [80] [82] [86] [88] [89] [100] [103] [116]
31	Rong Jin	[51] [53] [84] [85]
32	Chandra Kambhamettu	[5] [17] [23] [29] [32] [44] [45] [48] [67]
33	Mehmed M. Kantardzic	[62]
34	Timothy L. Karr	[103]
35	Irwin King	[85] [99]
36	Charlotte Konikoff	[103]
37	Sudhir Kumar	[43] [51] [65] [66] [73] [75] [103] [116]
38	Vipin Kumar	[13] [21]
39	Lukasz A. Kurgan	[33] [62]
40	Jing Li	[58] [69] [74] [101] [108] [109]
41	Min Li	[29] [48]
42	Qi Li	[5] [6] [11] [12] [13] [14] [16] [17] [20] [21] [23] [25] [29] [32] [40] [44] [45] [48] [57] [67]
43	Tao Li	[9] [33] [62]
44	Ying-Xin Li	[65] [73] [75] [116]
45	Huan Liu	[37] [42] [54] [58] [76]
46	Ji Liu	[87] [94] [97] [114] [115]
47	Jun Liu	[68] [69] [70] [72] [74] [79] [81] [83] [90] [91] [93] [95] [106] [107] [110] [115]
48	Songtao Liu	[3] [8]
49	Ying Liu	[33] [62]
50	Michael R. Lyu	[85] [99]
51	Michael McCutchan	[103]
52	Przemyslaw Musialski	[87]
53	Stuart J. Newfeld	[103]
54	Mitsunori Ogihara (Mitsunori Ogiwara)	[62]
55	Sethuraman Panchanathan	[41] [98] [103] [105] [111] [113] [117]
56	Cheong Hee Park	[4] [10]
57	Haesun Park	[4] [10] [13] [16] [21] [25]
58	Rinkal Patel	[58] [74]
59	Leif E. Peterson	[62]
60	Ting Kei Pong	[89]
61	Brach Poston	[117]
62	Ruibin Qu	[1] [2]
63	Hector Ramos	[103]
64	Anshuman Razdan	[63]
65	Eric Reiman	[58] [69] [74] [108] [109]
66	Seref Sagiroglu	[62]
67	Marco Santello	[117]
68	Bao-Hong Shen	[71]
69	Liang Sun	[51] [52] [53] [55] [60] [69] [70] [74] [76] [78] [86] [96] [100] [106]
70	Qian Sun	[105]
71	Lei Tang	[56] [77] [83] [88]
72	Paul Tseng	[89]
73	Jiangxin Wang	[54]
74	Tie Wang	[28]
75	M. Arif Wani	[33] [62]
76	Peter Wonka	[63] [87] [94] [115]
77	Lin-Wei Wu	[103]
78	Mingrui Wu	[35] [57] [64]
79	Teresa Wu	[58] [69] [74] [101] [108] [109]
80	Hui Xiong	[13] [21]
81	Tao Xiong	[9] [12] [24] [27] [30] [31] [32] [34]
82	Zenglin Xu	[85] [99]
83	Haiqin Yang	[99]
84	Liu Yang	[84]
85	Shipeng Yu	[56] [76] [78] [88] [102]
86	Lei Yuan	[73] [95] [107] [110]
87	Zheng Zhao	[35] [37] [42] [54] [58] [76]
88	Jiayu Zhou	[104] [110] [112]
89	Zhi-Hua Zhou	[65] [73] [75] [116]

Colors in the list of coauthors

Last update Sat May 26 02:31:23 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page