Chih-Jen Lin

	2012
65		Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large Linear Classification When Data Cannot Fit in Memory. TKDD 5(4): 23 (2012)
	2011
64		Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large Linear Classification When Data Cannot Fit in Memory. IJCAI 2011: 2777-2782
63		Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin: An improved GLMNET for l1-regularized logistic regression. KDD 2011: 33-41
62		Chih-Chung Chang, Chih-Jen Lin: LIBSVM: A library for support vector machines. ACM TIST 2(3): 27 (2011)
61		Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang: Parallel Spectral Clustering in Distributed Systems. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 568-586 (2011)
60		Ruby C. Weng, Chih-Jen Lin: A Bayesian Approximation Method for Online Ranking. Journal of Machine Learning Research 12: 267-300 (2011)
59		Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin: Dual coordinate descent methods for logistic regression and maximum entropy models. Machine Learning 85(1-2): 41-75 (2011)
	2010
58		Ming-Hen Tsai, Chia-Hua Ho, Chih-Jen Lin: Active learning strategies using SVMs. IJCNN 2010: 1-8
57		Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large linear classification when data cannot fit in memory. KDD 2010: 833-842
56		Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin: Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. Journal of Machine Learning Research 11: 1471-1490 (2010)
55		Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. Journal of Machine Learning Research 11: 3183-3234 (2010)
54		Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models Journal of Machine Learning Research 11: 815-848 (2010)
	2009
53		Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. ACL/AFNLP (Short Papers) 2009: 285-288
52		Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin: An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. Journal of Machine Learning Research - Proceedings Track 7: 57-64 (2009)
	2008
51		Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang: Parallel Spectral Clustering. ECML/PKDD (2) 2008: 374-389
50		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
49		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
48		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)
47		Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. Journal of Machine Learning Research 9: 1369-1398 (2008)
46		Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin: LIBLINEAR: A Library for Large Linear Classification. Journal of Machine Learning Research 9: 1871-1874 (2008)
45		Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi: Trust Region Newton Method for Logistic Regression. Journal of Machine Learning Research 9: 627-650 (2008)
44		Yin-Wen Chang, Chih-Jen Lin: Feature Ranking Using Linear SVM. Journal of Machine Learning Research - Proceedings Track 3: 53-64 (2008)
	2007
43		Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi: Trust region Newton methods for large-scale logistic regression. ICML 2007: 561-568
42		Ming-Fang Weng, Chun-Kang Chen, Yi-Hsuan Yang, Rong-En Fan, Yu-Ting Hsieh, Yung-Yu Chuang, Winston H. Hsu, Chih-Jen Lin: The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007. TRECVID 2007
41		Chih-Jen Lin: On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks 18(6): 1589-1596 (2007)
40		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)
39		Chih-Jen Lin: Projected Gradient Methods for Nonnegative Matrix Factorization. Neural Computation 19(10): 2756-2779 (2007)
	2006
38		Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng: Ranking individuals by group comparisons. ICML 2006: 425-432
37		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)
36		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
35		Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: Training Support Vector Machines via SMO-Type Decomposition Methods. ALT 2005: 45-62
34		Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin: Training Support Vector Machines via SMO-Type Decomposition Methods. Discovery Science 2005: 15
33		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)
32		Ming-Wei Chang, Chih-Jen Lin: Leave-One-Out Bounds for Support Vector Regression Model Selection. Neural Computation 17(5): 1188-1222 (2005)
	2004
31		Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng: A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. NIPS 2004
30		Ming-Wei Chang, Chih-Jen Lin, Ruby Chiu-Hsing Weng: Analysis of switching dynamics with competing support vector machines. IEEE Transactions on Neural Networks 15(3): 720-727 (2004)
29		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)
28		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
27		Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng: Probability Estimates for Multi-Class Classification by Pairwise Coupling. NIPS 2003
26		Kuan-Ming Lin, Chih-Jen Lin: A study on reduced support vector machines. IEEE Transactions on Neural Networks 14(6): 1449-1459 (2003)
25		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)
24		S. Sathiya Keerthi, Chih-Jen Lin: Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. Neural Computation 15(7): 1667-1689 (2003)
23		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
22		Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng: Analysis of Nonstationary Time Series Using Support Vector Machines. SVM 2002: 160-170
21		Chih-Jen Lin: Asymptotic convergence of an SMO algorithm without any assumptions. IEEE Transactions on Neural Networks 13(1): 248-250 (2002)
20		Chih-Wei Hsu, Chih-Jen Lin: A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks 13(2): 415-425 (2002)
19		Chih-Jen Lin: Errata to "On the convergence of the decomposition method for support vector machines". IEEE Transactions on Neural Networks 13(4): 1025 (2002)
18		Chih-Jen Lin: Errata to "A comparison of methods for multiclass support vector machines". IEEE Transactions on Neural Networks 13(4): 1026-1027 (2002)
17		Chih-Jen Lin: A formal analysis of stopping criteria of decomposition methods for support vector machines. IEEE Transactions on Neural Networks 13(5): 1045-1052 (2002)
16		Chih-Wei Hsu, Chih-Jen Lin: A Simple Decomposition Method for Support Vector Machines. Machine Learning 46(1-3): 291-314 (2002)
15		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)
14		Chih-Chung Chang, Chih-Jen Lin: Training v -Support Vector Regression: Theory and Algorithms. Neural Computation 14(8): 1959-1977 (2002)
	2001
13		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)
12		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)
11		Chih-Jen Lin: On the convergence of the decomposition method for support vector machines. IEEE Transactions on Neural Networks 12(6): 1288-1298 (2001)
10		Chih-Jen Lin: Formulations of Support Vector Machines: A Note from an Optimization Point of View. Neural Computation 13(2): 307-317 (2001)
9		Chih-Chung Chang, Chih-Jen Lin: Training nu-Support Vector Classifiers: Theory and Algorithms. Neural Computation 13(9): 2119-2147 (2001)
	2000
8		Chih-Chung Chang, Chih-Wei Hsu, Chih-Jen Lin: The analysis of decomposition methods for support vector machines. IEEE Trans. Neural Netw. Learning Syst. 11(4): 1003-1008 (2000)
	1998
7		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		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		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		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.	[23]
2	Hongjie Bai	[51] [61]
3	Robert Bencivenga	[1]
4	Sudipta Bhawmik	[1] [3] [4] [6] [7]
5	Colin Campbell	[23]
6	Tapan J. Chakraborty	[1]
7	Chih-Chung Chang	[8] [9] [14] [62]
8	Edward Y. Chang	[51] [61]
9	Kai-Wei Chang	[46] [47] [49] [50] [52] [53] [54] [55] [56] [57] [64] [65]
10	Ming-Wei Chang	[22] [30] [32]
11	Yin-Wen Chang	[44] [56]
12	Chien-Yu Chen	[48]
13	Chun-Kang Chen	[42]
14	Pai-Hsuen Chen	[33] [34] [35] [37]
15	Shang-Tse Chen	[52]
16	Wen-Yen Chen (WenYen Chen)	[51] [61]
17	Kwang-Ting Cheng (Kwang-Ting (Tim) Cheng)	[5] [6] [7]
18	Tsung-Hsien Chiang	[52]
19	Cheng-Bang Chu	[48]
20	Yung-Yu Chuang	[42]
21	Kai-Min Chung	[25] [28]
22	Rong-En Fan	[33] [34] [35] [37] [42] [46]
23	Shu-Cherng Fang	[13]
24	Chun-Sung Ferng	[52]
25	Chia-Hua Ho	[58] [63]
26	Jorng-Tzong Horng	[12]
27	Cho-Jui Hsieh	[46] [47] [49] [50] [52] [53] [54] [55] [56] [57] [64] [65]
28	Yu-Ting Hsieh	[42]
29	Chih-Wei Hsu	[8] [16] [20]
30	Winston H. Hsu	[42]
31	Ching-Wen Hsue	[2]
32	Fang-Lan Huang	[53] [54] [59]
33	Tzu-Kuo Huang	[31] [36] [38]
34	Cheng-Yan Kao	[12]
35	Wei-Chun Kao	[25] [28]
36	S. Sathiya Keerthi (Sathiya Keerthi Selvaraj)	[23] [24] [43] [45] [49] [50]
37	Yi-Kuang Ko	[52]
38	Tsung-Ting Kuo	[52]
39	Hung-Che Lai	[52]
40	Der-Cherng Liang	[48]
41	Shuo-Peng Liao	[15]
42	Hsuan-Tien Lin	[15] [40] [52]
43	Ken-Yi Lin	[52]
44	Kuan-Ming Lin	[26]
45	Shou-De Lin (Shou-de Lin)	[52]
46	Hsi-Che Liu	[48]
47	Yu-Ting Liu	[48]
48	Hung-Yi Lo	[52]
49	Michael Ringgaard	[56]
50	Lee-Yung Shih	[48]
51	Yangqiu Song	[51] [61]
52	Chia-Liang Sun	[25] [28]
53	S. Sundararajan	[49] [50]
54	Huan-Chih Tsai	[6] [7]
55	Ming-Hen Tsai	[58]
56	Chia-Hsuan Wang	[52]
57	Li-Lun Wang	[25]
58	Xiang-Rui Wang	[46]
59	Ming-Fang Weng	[42]
60	Ruby C. Weng	[22] [27] [29] [31] [36] [38] [40] [43] [45] [60]
61	Ruby Chiu-Hsing Weng	[30]
62	Soon-Yi Wu	[13]
63	Ting-Fan Wu	[27] [29]
64	Jinn-Moon Yang	[12]
65	Yi-Hsuan Yang	[42]
66	Hsiang-Fu Yu	[52] [57] [59] [64] [65]
67	Guo-Xun Yuan	[55] [63]
68	Yervant Zorian	[3] [4]

Colors in the list of coauthors

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