Chih-Jen Lin

2008
37	EE	Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang: Parallel Spectral Clustering. ECML/PKDD (2) 2008: 374-389
36	EE	Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan: A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415
35	EE	S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416
34	EE	Hsi-Che Liu, Chien-Yu Chen, Yu-Ting Liu, Cheng-Bang Chu, Der-Cherng Liang, Lee-Yung Shih, Chih-Jen Lin: Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods. Journal of Biomedical Informatics 41(4): 570-579 (2008)
2007
33	EE	Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi: Trust region Newton methods for large-scale logistic regression. ICML 2007: 561-568
32	EE	Chih-Jen Lin: On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks 18(6): 1589-1596 (2007)
31	EE	Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng: A note on Platt's probabilistic outputs for support vector machines. Machine Learning 68(3): 267-276 (2007)
30	EE	Chih-Jen Lin: Projected Gradient Methods for Nonnegative Matrix Factorization. Neural Computation 19(10): 2756-2779 (2007)
2006
29	EE	Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng: Ranking individuals by group comparisons. ICML 2006: 425-432
28	EE	Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: A study on SMO-type decomposition methods for support vector machines. IEEE Transactions on Neural Networks 17(4): 893-908 (2006)
27	EE	Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin: Generalized Bradley-Terry Models and Multi-Class Probability Estimates. Journal of Machine Learning Research 7: 85-115 (2006)
2005
26	EE	Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: Training Support Vector Machines via SMO-Type Decomposition Methods. ALT 2005: 45-62
25	EE	Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: Training Support Vector Machines via SMO-Type Decomposition Methods. Discovery Science 2005: 15
24	EE	Rong-En Fan, Pai-Hsuen Chen, Chih-Jen Lin: Working Set Selection Using Second Order Information for Training Support Vector Machines. Journal of Machine Learning Research 6: 1889-1918 (2005)
23	EE	Ming-Wei Chang, Chih-Jen Lin: Leave-One-Out Bounds for Support Vector Regression Model Selection. Neural Computation 17(5): 1188-1222 (2005)
2004
22	EE	Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng: A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. NIPS 2004
21	EE	Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng: Probability Estimates for Multi-class Classification by Pairwise Coupling. Journal of Machine Learning Research 5: 975-1005 (2004)
20	EE	Wei-Chun Kao, Kai-Min Chung, Chia-Liang Sun, Chih-Jen Lin: Decomposition Methods for Linear Support Vector Machines. Neural Computation 16(8): 1689-1704 (2004)
2003
19	EE	Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng: Probability Estimates for Multi-Class Classification by Pairwise Coupling. NIPS 2003
18	EE	Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, Chih-Jen Lin: Radius Margin Bounds for Support Vector Machines with the RBF Kernel. Neural Computation 15(11): 2643-2681 (2003)
17	EE	S. Sathiya Keerthi, Chih-Jen Lin: Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. Neural Computation 15(7): 1667-1689 (2003)
16	EE	Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.: Special issue on support vector machines. Neurocomputing 55(1-2): 1-3 (2003)
2002
15	EE	Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng: Analysis of Nonstationary Time Series Using Support Vector Machines. SVM 2002: 160-170
14		Chih-Wei Hsu, Chih-Jen Lin: A Simple Decomposition Method for Support Vector Machines. Machine Learning 46(1-3): 291-314 (2002)
13	EE	Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin: A Note on the Decomposition Methods for Support Vector Regression. Neural Computation 14(6): 1267-1281 (2002)
12	EE	Chih-Chung Chang, Chih-Jen Lin: Training v -Support Vector Regression: Theory and Algorithms. Neural Computation 14(8): 1959-1977 (2002)
2001
11	EE	Soon-Yi Wu, Shu-Cherng Fang, Chih-Jen Lin: Solving General Capacity Problem by Relaxed Cutting Plane Approach. Annals OR 103(1-4): 193-211 (2001)
10		Jinn-Moon Yang, Jorng-Tzong Horng, Chih-Jen Lin, Cheng-Yan Kao: Optical Coating Designs Using the Family Competition Evolutionary Algorithm. Evolutionary Computation 9(4): 421-443 (2001)
9		Chih-Jen Lin: Formulations of Support Vector Machines: A Note from an Optimization Point of View. Neural Computation 13(2): 307-317 (2001)
8		Chih-Chung Chang, Chih-Jen Lin: Training nu-Support Vector Classifiers: Theory and Algorithms. Neural Computation 13(9): 2119-2147 (2001)
1998
7	EE	Huan-Chih Tsai, Kwang-Ting Cheng, Chih-Jen Lin, Sudipta Bhawmik: Efficient test-point selection for scan-based BIST. IEEE Trans. VLSI Syst. 6(4): 667-676 (1998)
1997
6	EE	Huan-Chih Tsai, Kwang-Ting Cheng, Chih-Jen Lin, Sudipta Bhawmik: A Hybrid Algorithm for Test Point Selection for Scan-Based BIST. DAC 1997: 478-483
1995
5		Kwang-Ting Cheng, Chih-Jen Lin: Timing-Driven Test Point Insertion for Full-Scan and Partial-Scan BIST. ITC 1995: 506-514
4	EE	Chih-Jen Lin, Yervant Zorian, Sudipta Bhawmik: Integration of partial scan and built-in self-test. J. Electronic Testing 7(1-2): 125-137 (1995)
1993
3		Chih-Jen Lin, Yervant Zorian, Sudipta Bhawmik: PSBIST: A Partial-Scan Based Built-In Self-Test Scheme. ITC 1993: 507-516
2		Ching-Wen Hsue, Chih-Jen Lin: Built-In Current Sensor for IDDQ Test in CMOS. ITC 1993: 635-641
1991
1	EE	Tapan J. Chakraborty, Sudipta Bhawmik, Robert Bencivenga, Chih-Jen Lin: Enhanced Controllability for IDDQ Test Sets Using Partial Scan. DAC 1991: 278-281

Coauthor Index

1	V. David Sánchez A.	[16]
2	Hongjie Bai	[37]
3	Robert Bencivenga	[1]
4	Sudipta Bhawmik	[1] [3] [4] [6] [7]
5	Colin Campbell	[16]
6	Tapan J. Chakraborty	[1]
7	Chih-Chung Chang	[8] [12]
8	Edward Y. Chang	[37]
9	Kai-Wei Chang	[35] [36]
10	Ming-Wei Chang	[15] [23]
11	Chien-Yu Chen	[34]
12	Pai-Hsuen Chen	[24] [25] [26] [28]
13	WenYen Chen	[37]
14	Kwang-Ting Cheng (Kwang-Ting (Tim) Cheng)	[5] [6] [7]
15	Cheng-Bang Chu	[34]
16	Kai-Min Chung	[18] [20]
17	Rong-En Fan	[24] [25] [26] [28]
18	Shu-Cherng Fang	[11]
19	Jorng-Tzong Horng	[10]
20	Cho-Jui Hsieh	[35] [36]
21	Chih-Wei Hsu	[14]
22	Ching-Wen Hsue	[2]
23	Tzu-Kuo Huang	[22] [27] [29]
24	Cheng-Yan Kao	[10]
25	Wei-Chun Kao	[18] [20]
26	S. Sathiya Keerthi	[16] [17] [33] [35] [36]
27	Der-Cherng Liang	[34]
28	Shuo-Peng Liao	[13]
29	Hsuan-Tien Lin	[13] [31]
30	Hsi-Che Liu	[34]
31	Yu-Ting Liu	[34]
32	Lee-Yung Shih	[34]
33	Yangqiu Song	[37]
34	Chia-Liang Sun	[18] [20]
35	S. Sundararajan	[35] [36]
36	Huan-Chih Tsai	[6] [7]
37	Li-Lun Wang	[18]
38	Ruby C. Weng	[15] [19] [21] [22] [27] [29] [31] [33]
39	Soon-Yi Wu	[11]
40	Ting-Fan Wu	[19] [21]
41	Jinn-Moon Yang	[10]
42	Yervant Zorian	[3] [4]

Colors in the list of coauthors