Bao-Liang Lu

	2012
100		Tian-Xiang Wu, Xiao-Chen Lian, Bao-Liang Lu: Multi-view gender classification using symmetry of facial images. Neural Computing and Applications 21(4): 661-669 (2012)
99		Bing Li, Xiao-Chen Lian, Bao-Liang Lu: Gender classification by combining clothing, hair and facial component classifiers. Neurocomputing 76(1): 18-27 (2012)
	2011
98		Bao-Liang Lu, Liqing Zhang, James T. Kwok: Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I Springer 2011
97		Bao-Liang Lu, Liqing Zhang, James T. Kwok: Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II Springer 2011
96		Bao-Liang Lu, Liqing Zhang, James T. Kwok: Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III Springer 2011
95		Bing Li, Rong Xiao, Zhiwei Li, Rui Cai, Bao-Liang Lu, Lei Zhang: Rank-SIFT: Learning to rank repeatable local interest points. CVPR 2011: 1737-1744
94		Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu: Time and space efficient spectral clustering via column sampling. CVPR 2011: 2297-2304
93		Jing-Nan Gu, Hong-Jun Liu, Hong-Tao Lu, Bao-Liang Lu: An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings. ICONIP (1) 2011: 380-387
92		Jie Wu, Li-Chen Shi, Bao-Liang Lu: Removing Unrelated Features Based on Linear Dynamical System for Motor-Imagery-Based Brain-Computer Interface. ICONIP (1) 2011: 709-716
91		Li-Chen Shi, Yang Li, Rui-Hua Sun, Bao-Liang Lu: A Sparse Common Spatial Pattern Algorithm for Brain-Computer Interface. ICONIP (1) 2011: 725-733
90		Xiao-Wei Wang, Dan Nie, Bao-Liang Lu: EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines. ICONIP (1) 2011: 734-743
89		Wen-Yun Yang, Bao-Liang Lu, James T. Kwok: Incorporating cellular sorting structure for better prediction of protein subcellular locations. J. Exp. Theor. Artif. Intell. 23(1): 79-95 (2011)
88		Ji Zheng, Bao-Liang Lu: A support vector machine classifier with automatic confidence and its application to gender classification. Neurocomputing 74(11): 1926-1935 (2011)
	2010
87		Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok: Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I Springer 2010
86		Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok: Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II Springer 2010
85		Mu Li, James T. Kwok, Bao-Liang Lu: Online multiple instance learning with no regret. CVPR 2010: 1395-1401
84		Xiao-Chen Lian, Zhiwei Li, Changhu Wang, Bao-Liang Lu, Lei Zhang: Probabilistic models for supervised dictionary learning. CVPR 2010: 2305-2312
83		Xiao-Chen Lian, Zhiwei Li, Bao-Liang Lu, Lei Zhang: Max-Margin Dictionary Learning for Multiclass Image Categorization. ECCV (4) 2010: 157-170
82		Xiaolin Wang, Bao-Liang Lu: Flatten hierarchies for large-scale hierarchical text categorization. ICDIM 2010: 139-144
81		Tianqi Zhang, Bao-Liang Lu: Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis. ICISP 2010: 218-227
80		Mu Li, James T. Kwok, Bao-Liang Lu: Making Large-Scale Nyström Approximation Possible. ICML 2010: 631-638
79		Jian Zhang, Hai Zhao, Bao-Liang Lu: A comparative study on two large-scale hierarchical text classification tasks' solutions. ICMLC 2010: 3275-3280
78		Qi Kong, Hai Zhao, Bao-Liang Lu: Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization. ICONIP (1) 2010: 601-608
77		Yan-Ming Tang, Bao-Liang Lu: Age Classification Combining Contour and Texture Feature. ICONIP (2) 2010: 493-500
76		Tian-Xiang Wu, Bao-Liang Lu: Multi-view Gender Classification Using Hierarchical Classifiers Structure. ICONIP (2) 2010: 625-632
75		Minzhang Huang, Hai Zhao, Bao-Liang Lu: Pruning Training Samples Using a Supervised Clustering Algorithm. ISNN (2) 2010: 250-257
74		Wen-Yun Yang, James T. Kwok, Bao-Liang Lu: Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm. SDM 2010: 106-117
73		Hai Zhao, Changning Huang, Mu Li, Bao-Liang Lu: A Unified Character-Based Tagging Framework for Chinese Word Segmentation. ACM Trans. Asian Lang. Inf. Process. 9(2): (2010)
72		Yang Yang, Bao-Liang Lu: Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine. Int. J. Neural Syst. 20(1): 13-28 (2010)
71		Wen Yu, Bao-Liang Lu: Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks. Neurocomputing 73(13-15): 2430 (2010)
	2009
70		Zheng Ji, Bao-Liang Lu: Gender Classification Based on Support Vector Machine with Automatic Confidence. ICONIP (1) 2009: 685-692
69		Yue Wang, Bao-Liang Lu, Zhi-Fei Ye: Module Combination based on Decision Tree in Min-max Modular Network. IJCCI 2009: 555-558
68		Chao Ma, Bao-Liang Lu, Masao Utiyama: Incorporating Prior Knowledge into Task Decomposition for Large-Scale Patent Classification. ISNN (2) 2009: 784-793
67		Dandan Song, Yang Yang, Bin Yu, Binglian Zheng, Zhidong Deng, Bao-Liang Lu, Xuemei Chen, Tao Jiang: Computational prediction of novel non-coding RNAs in Arabidopsis thaliana. BMC Bioinformatics 10(S-1): (2009)
66		Bao-Liang Lu, Xiaolin Wang, Masao Utiyama: Incorporating prior knowledge into learning by dividing training data. Frontiers of Computer Science in China 3(1): 109-122 (2009)
65		Yun Li, Bao-Liang Lu, Teng-Fei Zhang: Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis. International Journal on Artificial Intelligence Tools 18(6): 883-904 (2009)
64		Jing Li, Bao-Liang Lu: An adaptive image Euclidean distance. Pattern Recognition 42(3): 349-357 (2009)
63		Yun Li, Bao-Liang Lu: Feature selection based on loss-margin of nearest neighbor classification. Pattern Recognition 42(9): 1914-1921 (2009)
	2008
62		Ke Wu, Bao-Liang Lu: A Refinement Framework for Cross Language Text Categorization. AIRS 2008: 401-411
61		Yuan-Peng Li, Bao-Liang Lu: Semantic Similarity Definition over Gene Ontology by Further Mining of the Information Content. APBC 2008: 155-164
60		Yang Yang, Bao-Liang Lu, Wen-Yun Yang: Classification of Protein Sequences Based on Word Segmentation Methods. APBC 2008: 177-186
59		Wen-Yun Yang, Bao-Liang Lu: String Kernels with Feature Selection for SVM Protein Classification. APBC 2008: 9-18
58		Xiao-Chen Lian, Bao-Liang Lu: Gender Classification by Combining Facial and Hair Information. ICONIP (2) 2008: 647-654
57		Bin Xia, He Sun, Bao-Liang Lu: Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines. IJCNN 2008: 3388-3395
56		Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu, Masao Utiyama, Hitoshi Isahara: Large-scale patent classification with min-max modular support vector machines. IJCNN 2008: 3973-3980
55		Ke Wu, Bao-Liang Lu, Masao Utiyama, Hitoshi Isahara: An empirical comparison of min-max-modular k -NN with different voting methods to large-scale text categorization. Soft Comput. 12(7): 647-655 (2008)
	2007
54		Jing Li, Bao-Liang Lu: A Framework for Multi-view Gender Classification. ICONIP (1) 2007: 973-982
53		Yang Yang, Bao-Liang Lu: Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization. ICONIP (2) 2007: 827-836
52		Li-Chen Shi, Hong Yu, Bao-Liang Lu: Semi-Supervised Clustering for Vigilance Analysis Based on EEG. IJCNN 2007: 1518-1523
51		Zhi-Fei Ye, Bao-Liang Lu: Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine. IJCNN 2007: 1673-1678
50		Feng Zhou, Bao-Liang Lu: Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs. IJCNN 2007: 524-529
49		Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isahara: A Probabilistic Approach to Feature Selection for Multi-class Text Categorization. ISNN (1) 2007: 1310-1317
48		Yimin Wen, Bao-Liang Lu: A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines. ISNN (3) 2007: 525-534
47		Yimin Wen, Bao-Liang Lu: Incremental Learning of Support Vector Machines by Classifier Combining. PAKDD 2007: 904-911
46		Ke Wu, Bao-Liang Lu: Cross-Lingual Document Clustering. PAKDD 2007: 956-963
45		Yun Li, Bao-Liang Lu: Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule. VISUAL 2007: 193-204
44		Bao-Liang Lu, Jing Li: A Min-Max Modular Network with Gaussian-Zero-Crossing Function. Trends in Neural Computation 2007: 285-313
43		Hui-Cheng Lian, Bao-Liang Lu: Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines. Int. J. Neural Syst. 17(6): 479-487 (2007)
42		Yun Li, Bao-Liang Lu, Zhong-Fu Wu: Hierarchical fuzzy filter method for unsupervised feature selection. Journal of Intelligent and Fuzzy Systems 18(2): 157-169 (2007)
	2006
41		Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin: Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I Springer 2006
40		Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin: Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II Springer 2006
39		Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin: Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III Springer 2006
38		Wen-Yun Yang, Bao-Liang Lu, Yang Yang: A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction. CIBCB 2006: 1-8
37		Zhi-Gang Fan, Bao-Liang Lu: Fast Learning for Statistical Face Detection. ICONIP (2) 2006: 187-196
36		Yun Li, Bao-Liang Lu, Zhong-Fu Wu: A Hybrid Method of Unsupervised Feature Selection Based on Ranking. ICPR (2) 2006: 687-690
35		Ken Chen, Bao-Liang Lu, James T. Kwok: Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. IJCNN 2006: 1770-1775
34		Jing Li, Bao-Liang Lu: A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions. IJCNN 2006: 786-793
33		Hai Zhao, Bao-Liang Lu: A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning. ISNN (1) 2006: 537-544
32		Hui-Cheng Lian, Bao-Liang Lu: Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines. ISNN (2) 2006: 202-209
31		Jun Luo, Bao-Liang Lu: Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering. ISNN (2) 2006: 210-215
30		Yang Yang, Bao-Liang Lu: Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine. ISNN (2) 2006: 667-673
	2005
29		Yang Yang, Bao-Liang Lu: Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization. CIBCB 2005: 288-295
28		Zhi-Gang Fan, Bao-Liang Lu: Fast Recognition of Multi-View Faces with Feature Selection. ICCV 2005: 76-81
27		Jing Li, Bao-Liang Lu, Michinori Ichikawa: An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function. ICNC (1) 2005: 293-302
26		Hai Zhao, Bao-Liang Lu: A General Procedure for Combining Binary Classifiers and Its Performance Analysis. ICNC (1) 2005: 303-312
25		Zhi-Gang Fan, Bao-Liang Lu: Multi-view Face Recognition with Min-Max Modular SVMs. ICNC (2) 2005: 396-399
24		Hui-Cheng Lian, Bao-Liang Lu, Erina Takikawa, Satoshi Hosoi: Gender Recognition Using a Min-Max Modular Support Vector Machine. ICNC (2) 2005: 438-441
23		Jing Li, Bao-Liang Lu, Michinori Ichikawa: Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function. ISNN (1) 2005: 467-472
22		Yang Yang, Bao-Liang Lu: Structure Pruning Strategies for Min-Max Modular Network. ISNN (1) 2005: 646-651
21		Yimin Wen, Bao-Liang Lu: A Hierarchical and Parallel Method for Training Support Vector Machines. ISNN (1) 2005: 881-886
20		Kaian Wang, Hai Zhao, Bao-Liang Lu: Task Decomposition Using Geometric Relation for Min-Max Modular SVMs. ISNN (1) 2005: 887-892
19		Hai Zhao, Bao-Liang Lu: Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection. ISNN (2) 2005: 39-44
	2004
18		Hai Zhao, Bao-Liang Lu: A Modular k-Nearest Neighbor Classification Method for Massively Parallel Text Categorization. CIS 2004: 867-872
17		Zhi-Gang Fan, Kaian Wang, Bao-Liang Lu: Feature Selection for Fast Image Classification with Support Vector Machines. ICONIP 2004: 1026-1031
16		Bin Huang, Bao-Liang Lu: Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network. ICONIP 2004: 842-847
15		Yimin Wen, Bao-Liang Lu: A Cascade Method for Reducing Training Time and the Number of Support Vectors. ISNN (1) 2004: 480-486
14		Zhi-Gang Fan, Bao-Liang Lu: An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis. ISNN (1) 2004: 804-809
13		Hai Zhao, Bao-Liang Lu: Analysis of Fault Tolerance of a Combining Classifier. ISNN (1) 2004: 888-893
	2003
12		Bao-Liang Lu, Qing Ma, Michinori Ichikawa, Hitoshi Isahara: Efficient Part-of-Speech Tagging with a Min-Max Modular Neural-Network Model. Appl. Intell. 19(1-2): 65-81 (2003)
11		Bao-Liang Lu, Koji Ito: Converting general nonlinear programming problems into separable programming problems with feedforward neural networks. Neural Networks 16(7): 1059-1074 (2003)
	2002
10		Qing Ma, Bao-Liang Lu, Hitoshi Isahara, Michinori Ichikawa: Part of speech tagging with min-max modular neural networks. Systems and Computers in Japan 33(7): 30-39 (2002)
	2001
9		Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ichikawa, Hitoshi Isahara: On-Line Error Detection of Annotated Corpus Using Modular Neural Networks. ICANN 2001: 1185-1192
8		Bao-Liang Lu, Jonghan Shin, Michinori Ichikawa: Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks. ICANN 2001: 601-608
7		Jonghan Shin, Bao-Liang Lu, Arkadi Talnov, Gen Matsumoto, Jurij Brankack: Reading auditory discrimination behaviour of freely moving rats from hippocampal EEG. Neurocomputing 38-40: 1557-1566 (2001)
	2000
6		Bao-Liang Lu, Michinori Ichikawa: Emergence of Learning: An Approach to Coping with NP-Complete Problems in Learning. IJCNN (4) 2000: 159-164
	1999
5		Bao-Liang Lu, Masami Ito: Task decomposition and module combination based on class relations: a modular neural network for pattern classification. IEEE Transactions on Neural Networks 10(5): 1244-1256 (1999)
4		Bao-Liang Lu, H. Kita, Y. Nishikawa: Inverting feedforward neural networks using linear and nonlinear programming. IEEE Transactions on Neural Networks 10(6): 1271-1290 (1999)
	1998
3		Bao-Liang Lu, Masami Ito: Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network. ICONIP 1998: 199-202
2		Bao-Liang Lu, Masami Ito: Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network. NC 1998: 703-709
	1997
1		Bao-Liang Lu, Masami Ito: Task Decomposition Based on Class Relations: A Modular Neural Network Architecture for Pattern Classification. IWANN 1997: 330-339

Coauthor Index

1	Jurij Brankack	[7]
2	Rui Cai	[95]
3	Ken Chen	[35]
4	Xuemei Chen	[67]
5	Xiao-Lei Chu	[56]
6	Zhidong Deng	[67]
7	Zhi-Gang Fan	[14] [17] [25] [28] [37]
8	Jing-Nan Gu	[93]
9	Satoshi Hosoi	[24]
10	Bin Huang	[16]
11	Changning Huang	[73]
12	Minzhang Huang	[75]
13	Michinori Ichikawa	[6] [8] [9] [10] [12] [23] [27]
14	Hitoshi Isahara	[9] [10] [12] [49] [55] [56]
15	Koji Ito	[11]
16	Masami Ito	[1] [2] [3] [5]
17	Zheng Ji	[70]
18	Tao Jiang	[67]
19	H. Kita	[4]
20	Qi Kong	[78]
21	James Tin-Yau Kwok (James T. Kwok)	[35] [74] [80] [85] [86] [87] [89] [94] [96] [97] [98]
22	Bing Li	[95] [99]
23	Jing Li	[23] [27] [34] [44] [54] [56] [64]
24	Mu Li	[73] [80] [85] [94]
25	Yang Li	[91]
26	Yuan-Peng Li	[61]
27	Yun Li	[36] [42] [45] [63] [65]
28	Zhiwei Li	[83] [84] [95]
29	Hui-Cheng Lian	[24] [32] [43]
30	Xiao-Chen Lian	[58] [83] [84] [94] [99] [100]
31	Hong-Jun Liu	[93]
32	Hong-Tao Lu	[93]
33	Jun Luo	[31]
34	Chao Ma	[56] [68]
35	Qing Ma	[9] [10] [12]
36	Gen Matsumoto	[7]
37	Masaki Murata	[9]
38	Dan Nie	[90]
39	Y. Nishikawa	[4]
40	Li-Chen Shi	[52] [91] [92]
41	Jonghan Shin	[7] [8]
42	Dandan Song	[67]
43	He Sun	[57]
44	Rui-Hua Sun	[91]
45	Erina Takikawa	[24]
46	Arkadi Talnov	[7]
47	Yan-Ming Tang	[77]
48	Masao Uchiyama	[49]
49	Masao Utiyama	[55] [56] [66] [68]
50	Changhu Wang	[84]
51	Jun Wang	[39] [40] [41]
52	Kaian Wang	[17] [20]
53	Xiao-Wei Wang	[90]
54	Xiaolin Wang	[66] [82]
55	Yue Wang	[69]
56	Yimin Wen	[15] [21] [47] [48]
57	Jie Wu	[92]
58	Ke Wu	[46] [49] [55] [62]
59	Tian-Xiang Wu	[76] [100]
60	Zhong-Fu Wu	[36] [42]
61	Bin Xia	[57]
62	Rong Xiao	[95]
63	Wen-Yun Yang	[38] [59] [60] [74] [89]
64	Yang Yang	[22] [29] [30] [38] [53] [60] [67] [72]
65	Zhi-Fei Ye	[51] [69]
66	Zhang Yi	[39] [40] [41]
67	Hujun Yin	[39] [40] [41]
68	Bin Yu	[67]
69	Hong Yu	[52]
70	Wen Yu	[71]
71	Jian Zhang	[79]
72	Liqing Zhang	[86] [87] [96] [97] [98]
73	Teng-Fei Zhang	[65]
74	Tianqi Zhang	[81]
75	Lei Zhang	[83] [84] [95]
76	Hai Zhao	[13] [18] [19] [20] [26] [33] [73] [75] [78] [79]
77	Binglian Zheng	[67]
78	Ji Zheng	[88]
79	Feng Zhou	[50]
80	Jacek M. Zurada	[39] [40] [41]

Colors in the list of coauthors

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