Yang Dai

	2009
30		Shantanu Dutt, Yang Dai, Huan Ren, Joel Fontanarosa: Selection of Multiple SNPs in Case-Control Association Study Using a Discretized Network Flow Approach. BICoB 2009: 211-223
29		Yang Dai, Yunze Cai, Xiaoming Xu: Global Synchronization of Generalized Complex Networks with Mixed Coupling Delays. Complex (1) 2009: 1001-1010
28		Yang Dai, Yunze Cai, Xiaoming Xu: Synchronization of Complex Networks with Time-Varying Coupling Delay via Impulsive Control. Complex (1) 2009: 912-923
27		Peter Larsen, Yang Dai: Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks. ISBRA 2009: 40-51
	2008
26		Eyad Almasri, Peter Larsen, Guanrao Chen, Yang Dai: Incorporating Literature Knowledge in Bayesian Network for Inferring Gene Networks with Gene Expression Data. ISBRA 2008: 184-195
25		Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai: Incorporating Knowledge of Topology Improves Reconstruction of Interaction Networks from Microarray Data. ISBRA 2008: 434-443
24		Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai: Rank-based edge reconstruction for scale-free genetic regulatory networks. BMC Bioinformatics 9: (2008)
23		José L. Balcázar, Yang Dai, Junichi Tanaka, Osamu Watanabe: Provably Fast Training Algorithms for Support Vector Machines. Theory Comput. Syst. 42(4): 568-595 (2008)
	2007
22		Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai: A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments. BMC Bioinformatics 8: (2007)
	2006
21		Lei Huang, Yang Dai: Direct Prediction of T-cell Epitopes Using Support Vector Machines with Novel Sequence Encoding Schemes. J. Bioinformatics and Computational Biology 4(1): 93-108 (2006)
	2005
20		Lei Huang, Yang Dai: A support vector machine approach for prediction of T Cell epitopes. APBC 2005: 319-328
19		Zhengdeng Lei, Yang Dai: A New Kernel Based on High-Scored Pairs of Tri-peptides and Its Application in Prediction of Protein Subcellular Localization. International Conference on Computational Science (2) 2005: 903-910
18		Oleksiy Karpenko, Jianming Shi, Yang Dai: Prediction of MHC class II binders using the ant colony search strategy. Artificial Intelligence in Medicine 35(1-2): 147-156 (2005)
17		Zhengdeng Lei, Yang Dai: An SVM-based system for predicting protein subnuclear localizations. BMC Bioinformatics 6: 291 (2005)
16		Robert E. Langlois, Alice Diec, Ognjen Perisic, Yang Dai, Hui Lu: Improved protein fold assignment using support vector machines. IJBRA 1(3): 319-334 (2005)
15		Danny Z. Chen, Ovidiu Daescu, Yang Dai, Naoki Katoh, Xiaodong Wu, Jinhui Xu: Efficient Algorithms and Implementations for Optimizing the Sum of Linear Fractional Functions, with Applications. J. Comb. Optim. 9(1): 69-90 (2005)
14		Zhengdeng Lei, Yang Dai: A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization. T. Comp. Sys. Biology 2: 48-58 (2005)
	2004
13		Zhengdeng Lei, Yang Dai: A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Machines. BIOKDD 2004: 11-17
	2003
12		Hsiao-Mei Lu, Sumeet Gupta, Yang Dai: Reducing large diagonals in kernel matrices through semidefinite programming. BIOKDD 2003: 57-62
11		Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu: Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188
10		Lei Huang, Hsiao-Mei Lu, Yang Dai: Feature Selection of Support Vector Regression for Quantitative Structure-Activity Relationships (QSAR). METMBS 2003: 88-93
	2001
9		José L. Balcázar, Yang Dai, Osamu Watanabe: A Random Sampling Technique for Training Support Vector Machines. ALT 2001: 119-134
8		José L. Balcázar, Yang Dai, Osamu Watanabe: Provably Fast Training Algorithms for Support Vector Machines. ICDM 2001: 43-50
	2000
7		Danny Z. Chen, Ovidiu Daescu, Yang Dai, Naoki Katoh, Xiaodong Wu, Jinhui Xu: Optimizing the sum of linear fractional functions and applications. SODA 2000: 707-716
6		Yang Dai, Naoki Katoh, Siu-Wing Cheng: LMT-skeleton heuristics for several new classes of optimal triangulations. Comput. Geom. 17(1-2): 51-68 (2000)
	1998
5		Yang Dai, Naoki Katoh: On Computing New Classes of Optimal Trangulations with Angular Constraints. COCOON 1998: 15-24
	1997
4		Yang Dai, Kazuo Iwano, Naoki Katoh: A New Probabilistic Analysis of Karger's Randomized Algorithm for Minimum Cut Problems. Inf. Process. Lett. 64(5): 255-261 (1997)
	1996
3		Yang Dai, Hiroshi Imai, Kazuo Iwano, Naoki Katoh, Keiji Ohtsuka, Nobuhiko Yoshimura: A New Unifying Heuristic Algorithm for the Undirected Minimum Cut Problems Using Minimum Range Cut Algorithms. Discrete Applied Mathematics 65(1-3): 167-190 (1996)
	1994
2		Yang Dai, Yoshitsugu Yamamoto: A continuous deformation algorithm for variational inequality problems on polytopes. Math. Program. 64: 103-122 (1994)
	1993
1		Yang Dai, Hiroshi Imai, Kazuo Iwano, Naoki Katoh: How to Treat Delete Requests in Semi-Online Problems. ISAAC 1993: 48-57

Coauthor Index

1	Eyad Almasri	[22] [24] [25] [26]
2	José L. Balcázar	[8] [9] [23]
3	Yunze Cai	[28] [29]
4	Danny Z. Chen	[7] [15]
5	Guanrao Chen	[22] [24] [25] [26]
6	Siu-Wing Cheng	[6]
7	Ovidiu Daescu	[7] [15]
8	Alice Diec	[16]
9	Shantanu Dutt	[30]
10	Joel Fontanarosa	[30]
11	Sumeet Gupta	[12]
12	Lei Huang	[10] [20] [21]
13	Hiroshi Imai	[1] [3]
14	Kazuo Iwano	[1] [3] [4]
15	Oleksiy Karpenko	[18]
16	Naoki Katoh	[1] [3] [4] [5] [6] [7] [15]
17	Robert E. Langlois	[16]
18	Peter Larsen	[22] [24] [25] [26] [27]
19	Wee Sun Lee	[11]
20	Zhengdeng Lei	[13] [14] [17] [19]
21	Xiaoli Li	[11]
22	Bing Liu	[11]
23	Hsiao-Mei Lu	[10] [12]
24	Hui Lu	[16]
25	Keiji Ohtsuka	[3]
26	Ognjen Perisic	[16]
27	Huan Ren	[30]
28	Jianming Shi	[18]
29	Junichi Tanaka	[23]
30	Osamu Watanabe	[8] [9] [23]
31	Xiaodong Wu	[7] [15]
32	Jinhui Xu	[7] [15]
33	Xiaoming Xu	[28] [29]
34	Yoshitsugu Yamamoto	[2]
35	Nobuhiko Yoshimura	[3]
36	Philip S. Yu	[11]

Colors in the list of coauthors