Brain-Like Computing, Neural Networks, Machine Learning, Brain-Computer Interface

I received the B.S. degree in instrument and control engineering from Qingdao University of Science and Technology, China, in 1982, the M. S. degree in computer science and engineering from Northwestern Polytechnical University, Xi'an, China, in 1989, and the Dr. Eng. Degree in electrical engineering from Kyoto University, Kyoto, Japan, in 1994.

From 1982 to 1986, I was with the Qingdao University of Science and Technology. From April 1994 to March 1999, I was a Frontier Researcher at the Bio-Mimetic Control Research Center, the Institute of Physical and Chemical Research (RIKEN), Nagoya, Japan. From April 1999 to August 2002, I was a Research Scientist at the RIKEN Brain Science Institute, Wako, Japan. Since August 2002, I have been a full professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. I have been an adjunct professor of the Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine since 2005.

Major Grants
1. "Incremental learning model"
Principal Investigator: Bao-Liang Lu
Grant Number: NSFC 60375022
Agency: National Science Foundation of China
Period: Jan. 1, 2004 to Dec. 31, 2006.
2. "Task decomposition and module combination for massively parallel pattern classifiers "
Principal Investigator: Bao-Liang Lu
Grant Number: NSFC 60473040
Agency: National Science Foundation of China
Period: Jan. 1, 2005 to Dec. 31, 2007.
3.Learning algorithm for Large-scale, multi-label, and imbalanced classification problems
Principal Investigator: Bao-Liang Lu
Grant Number: NSFC 60773090
Agency: National Science Foundation of China
Period: Jan. 1, 2008 to Dec. 31, 2010.
4. "Integrated platform for analysis of metagenomic and metabonomic data and study on metabolic disease "
Co-Principal Investigator: Bao-Liang Lu
Grant Number: 2008AA02Z315
Agency: National High-Tech Research Program (863) of China
Period: Jan. 1, 2008 to Dec. 31, 2010.
5. "EEG Based Vigilance Estimation and Prediction for Drivers "
Principal Investigator: Bao-Liang Lu
Grant Number: NSFC 60773090
Agency: National Science Foundation of China
Period: Jan. 1, 2009 to Dec. 31, 2011
6. "The Basic Mechanism Research of Visual Information Processing"
Co-Principal Investigator: Bao-Liang Lu
Grant Number: 2009CB320901
Agency: National Basic Research Program (973) of China
Period: Jan. 1, 2009 to Dec. 31, 2013

Neural Network Theory and Applications
Data Structure and Algorithm Analysis

1.Jing Li and Bao-Liang Lu, “An Adaptive Image Euclidean Distance”, Pattern Recognition, vol. 42, pp. 349-357, 2009
2.Yun Li and Bao-Liang Lu, “Feature selection based on loss margin of nearest neighbor classification”, Pattern Recognition, vol. 42, pp. 1914-1921, 2009
3.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, vol. 10 (S-1), S-36, 2009
4.Bao-Liang Lu, Xiao-Lin Wang, and Masao Utiyama, “Incorporating prior knowledge into learning by dividing training data”, Frontiers of Computer Science, vol. 3, No. 1, pp. 109-122, 2009
5.Bao-Liang Lu and Xiao-Lin Wang, “A Parallel and Modular Pattern Classification Framework for Large-Scale Problems”, in C. H. Chen (Ed.), Handbook of Pattern Recognition and Computer Vision (4th Edition), pp. 725-746, World Scientific, 2009
6.Mu Li and Bao-Liang Lu, “Emotion Classification Based on Gamma-band EEG”, in Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society，pp. 1323-1326, Mineapolis, USA, 2009
7.Jia-Cheng Guo, Bao-Liang Lu, Zhi-Wei Li, and Lei Zhang, "LogisticLDA: Regularizing Latent Dirichlet Allocation by Logistic Regression", in Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, pp. 160-169, Hong Kong, 2009
8.Wei-Ming Liang, Chang-Ning Huang, Mu Li and Bao-Liang Lu, “Extracting Keyphrases from Chinese News Articles Using TextRank and Query Log Knowledge”, in Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, pp. 733-740, Hong Kong, 2009
9.Shaojie Shi, Bao-Liang Lu,“EEG Signal Classification during Listening to Native and Foreign Languages Songs”, 4th International IEEE EMBS Conference on Neural Engineering, 2009, Antalya, Turkey, pp. 440-443, 2009.
10.Zheng Ji and Bao-Liang Lu, “Gender Classification Based on Support Vector Machine with Automatic Confidence”, in Proceedings of the 16th International Conference on Neural Information Processing, pp. 685-692, Bangkok, Thailand, 2009
11.Chao Ma, Bao-Liang Lu, and Masao Utiyama, “Incorporating prior knowledge into task decomposition for large-scale patent classification”, in Proceedings of 6th International Symposium on Neural Networks, LNCS5552, pp. 784-793, 2009
12.Yang Yang and Bao-Liang Lu, “Prediction of protein subcellular multi-localization by using a min-max modular support vector machine”, in Yu and Sanchez (Eds.), Advances in Computational Intelligence, AISC 61, pp. 133-143, Springer, 2009
13.Yue Wang, Bao-Liang Lu, and Zhi-Fei Ye, “Module combination based on decision tree in min-max modular network, in Proceedings of International Conference on Neural Computation, pp. 555-558, Madeira, Portugal, 2009
14.Zheng Ji, Xiao-Chen Lian, and Bao-Liang Lu, " Gender Classification by Fusion of Face and Hair Feature”, in Marid and Chacon (Eds.), State of the Art in Face Recognition, In-Teh, Vienna, Austria，pp. 215-230, 2009
15.Jia-Wei Fu, Li-Chen Shi, and Bao-Liang Lu, “A survey on EEG-based vigilance analysis and estimation”, Chinese Journal of Biomedical Engineering (in Chinese), vol. 28, no. 4, pp. 589-596, 2009
16.Zhi-Fei Ye, Yi-Min Wen, and Bao-Liang Lu, “A survey of imbalanced pattern classification problems”, CAAI Transactions on Intelligent Systems (in Chinese), vol. 4, no. 2, pp. 148-156, 2009
17.L.C. Shi, B.L. Lu, "Dynamic Clustering for Vigilance Analysis Based on EEG", 30-th Annual International Conference of the Engineering in Medicine and Biology Society,Vancouver , British Columbia , Canada , pp. 54-57, 2008
18.M. Li, G.W. Fu, B.L. Lu, "Estimating Vigilance in Driving Simulation using Probabilistic PCA"，30-th Annual International Conference of the Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, pp. 5000-5003,2008
19.X. Chu, C. Ma, J. Li, B. L. Lu, M. Utiyama and H. Isahara, "Large-Scale Patent Classification with Min-Max Modular Support Vector Machines", Proc. of International Joint Conference on Neural Networks (IJCNN), vol.1, pp.3972-3979, HongKong, China, 2008
20.B. Xia, H. Sun and B. L. Lu, "Multi-view Gender Classification based on Local Gabor Binary Mapping Pattern and Support Vector Machines", Proc. of International Joint Conference on Neural Networks (IJCNN), vol.1,pp.3388-3395, HongKong, China, 2008
21.W. Y. Yang and B. L. Lu, "A string kernel framework with feature selection for SVM protein classification", Proc. of the Sixth Asia Pacific Bioinformatics Conference (APBC), vol.6:9-18, Kyoto, Japan, 2008
22.Y. P. Li and B. L. Lu. "Semantic similarity definition over gene ontology by further mining of the information content", Proc. of the Sixth Asia Pacific Bioinformatics Conference (APBC), vol.6:155-164, Kyoto, Japan, 2008
23.K. Wu, X. Lin and B. L. Lu. "Cross language text categorization using a bilingual lexicon", Proc. of the Third International Joint Conference on Natural Language Processing (IJCNLP). India, 2008
24.Yang Yang, B. L. Lu and Wen-Yun Yang, "Classification of protein sequences based on word segmentation methods", Proc. of the Sixth Asia Pacific Bioinformatics Conference (APBC), vol.6:177-186, Kyoto, Japan, 2008
25.J. Luo, Y. Ma, E. Takikawa, S. H Lao, M. Kawade and B. L. Lu. "Person-specific SIFT features for face recognition", International Conference on Acoustic, Speech and Signal Processing (ICASSP2007), vol.2, pp.593-596, Hawaii, 2007
26.K. Wu, B. L. Lu, "A probabilistic approach to feature selection for multi-class text categorization", Proc. of Fourth International Symposium Neural Networks (ISNN 2007), LNCS, Vol.4491: 1310-1317, Nanjing, China, 2007
27. K. Wu, B. L. Lu, Masao Uchiyama, and Hitoshi Isahara, "An empirical comparison of min-max-modular k-NN with different voting methods to large-scale text categorization", Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol.12, no.7, pp.647-655, 2007
28. Y. M. Wen, and B. L. Lu, "A confident majority voting strategy for parallel and modular support vector machines", Proc. of Fourth International Symposium Neural Networks (ISNN 2007), LNCS, Vol. 4493: 525-534, Nanjing, China, 2007
29. Y. M. Wen and B. L. Lu, "Incremental Learning of Support Vector Machines by Classifier Combining", Proc. of 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), LNCS, vol.4426: 904-911, Nanjing, China, 2007
30. K. Wu and B. L. Lu, "Cross-Lingual Document Clustering", Proc. of 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), LNCS, vol.4426: 956-963, Nanjing, China, 2007
31. Li-Chen Shi, Hong Yu, and Bao-Liang Lu, "Semi-Supervised Clustering for Vigilance Analysis Based on EEG," Proceedings of International Joint Conference on Neural Networks(IJCNN2007), pp. 1518-1523, Orlando, US, Aug. 2007
32. Y. Li, B. L. Lu, Z. F. Wu. Hierarchical Fuzzy Filter Method for Unsupervised Feature Selection. Journal of Intelligent and Fuzzy Systems, vol.18, no.2, pp.157-169, 2007
33. W. Y. Yang, B. L. Lu and Y. Yang, "A comparative study on feature extraction from protein sequences for subcellular localization prediction", Proceedings of 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2006)，Toronto，Canada，2006
34. K. Chen, B. L. Lu and J. Kwok, "Efficient classification of multi-label and imbalanced data using min-max modular classifiers", Proc. of IEEE World Congress on Computation Intelligence, pp.1770-1775, Vancoudar, Canada, July 16-21, 2006
35. J. Li and B. L. Lu, "A new supervised clustering algorithm based on min-max modular network with gaussian-zero-crossing functions", Proc. of 2006 IEEE World Congress on Computation Intelligent, pp.786-793, Vancouver, Canada, July 16-21, 2006
36. Y. Li, B. L. Lu and Z. F. Wu, "A hybrid method of unsupervised feature selection based on ranking". International Conference on Pattern Recognition 2006 (ICPR2006), Vol.2, pp.687-690, Hongkong, August 20-24, 2006
37. H. C. Lian, B. L. Lu, "Multi-view gender classification using local binary patterns and support vector machines", Lecture Notes in Computer Science, 3972, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II, pp.202-209, 2006
38. J. Luo, B. L. Lu, "Gender recognition using a min-max modular support vector machine with equal clustering", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3972, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II, pp.210-215, 2006
39. Y. Yang, B. L. Lu, "Prediction of protein subcellular multi-locations with a min-max modular support vector machine", Lecture Notes in Computer Science, 3973,Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings - Part III, pp. 667-673, 2006
40. H. Zhao, B. L. Lu, "A modular reduction method for k-NN algorithm with self-recombination learning", Lecture Notes in Computer Science, 3971, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings, pp.537-544, 2006
41. Z. G. Fan and B. L. Lu, Fast Learning for Statistical Face Detection, ICONIP2006, Lecture Notes in Computer Science, LNCS 4233, pp. 187-196, 2006
42. Z. G. Fan and B. L. Lu, "Fast Recognition of Multi-View Faces with Feature Selection", 10th IEEE International Conference on Computer Vision (ICCV'05), vol. 1, pp. 76-81, 2005
43. H. C. Lian and B. L. Lu, "An algorithm for pruning redundant modules in min-max modular network", International Joint Conference on Neural Networks (IJCNN2005), pp.1983-1988, Montréal, Québec, Canada, July 31-August 4, 2005
44. F. Y. Liu, K. Wu, H. Zhao, and B. L. Lu, "Fast text categorization with min-max modular support vector machines", International Joint Conference on Neural Networks (IJCNN2005), Vol. 1, pp.570-575, Montréal, Québec, Canada, July 31-August 4, 2005
45. Y. Yang and B. L. Lu, "Extracting features from protein sequences using chinese segmentation techniques for subcellular localization", Proceedings of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005), pp. 288-295, San Diego, California, USA, November 14-15, 2005
46. F. Y. Liu, K, A. Wang, B. L. Lu, M. Utiyama, and H. Isahara, "Efficient Text Categorization Using a Min-Max Modular Support Vector Machine"，in Human Interaction With Machine, Hommel, G and Shen H. Y. Eds.,Springer, pp. 13-22, 2005
47. H. Zhao, B. L. Lu, "Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection", Proceedings of Second International Symposium Neural Networks (ISNN’05), LNCS, Vol. 3497: 39-44, Chongqing, China, 2005
48. J. Li, B. L. Lu, "Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function", Proceedings of Second International Symposium on Neural Networks (ISNN’05), LNCS, Vol. 3496, pp. 467-472 Chongqing, China, 2005
49. Y. M. Wen and B. L. Lu, "A hierarchical an parallel method for training support vector machines", Proceedings of Second International Symposium on Neural Networks (ISNN’05), LNCS, 881-886, Chongqing, China, 2005
50. Y. Yang, B. L. Lu, "Structure Pruning Strategies for Min-Max Modular Network", Proceedings of Second International Symposium on Neural Networks (ISNN’05), LNCS, vol. 3496, pp. 646-651, Chongqing, China, 2005
51. K. A. Wang, H. Zhao and B. L. Lu, "Task Decomposition Using Geometric Relation for Min-Max Modular SVMs", Proceedings of Second International Symposium on Neural Networks (ISNN’05), LNCS, vol. 3496, pp. 887-892, Chongqing, China, 2005
52. H. Zhao and B. L. Lu, "A General Procedure for Combining Binary Classifiers and Its Performance Analysis", Proceeding s of the First International Conference on Natural Computation (ICNC'05), LNCS, vol. 3610, pp. 303-312, Changsha, China, 2005
53. J. Li, B. L. Lu, and M. Ichikawa, "An algorithm for pruning redundant modules in min-max modular network with GZC function", Proceedings of the First International Conference on Natural Computation (ICNC'05), LNCS, vol.3610, pp.293-302, Changsha, China, 2005
54. Z. G. Fan and B. L. Lu, "Multi-View Face Recognition with Min-Max Modular SVMs", Proceedings of the First International Conference on Natural Computation (ICNC'05), LNCS, vol. 3611, pp. 396-399, Changsha, China, 2005
55. H. C. Lian and B. L. Lu, "Gender Recognition Using a Min-Max Modular SVM", Proceedings of the First International Conference on Natural Computation (ICNC'05), LNCS, vol. 3611, pp. 433-436, Changsha, China, 2005
56. Y. K. Chen, H. Zhao and B. L. Lu, "On improvement on generalization performance of classifier by using empirical risk", 2nd International Conference on Neural Networks and Brain, vol.1 pp. 41-46, Beijing, China, 2005
57. H. C. Lian and B. L. Lu, "Age estimation using a min-max modular support vector machine", 12th International Conference on Neural Information Processing (ICONIP 2005), pp.83-88, Taipei, October 30-November 2, 2005
58. Y. M. Wen, B. L. Lu and H. Zhao, "Equal clustering makes min-max modular support vector machine more efficient", 12th International Conference on Neural Information Processing (ICONIP 2005), pp.77-82, Taipei, October 30-November 2, 2005
59. H. Zhao, B. L. Lu, Y. M. Wen and K. A. Wang, "On effective decomposition of training data sets for min-Max modular classifier", 12th International Conference on Neural Information Processing (ICONIP 2005), pp.343-348, Taipei, October 30-November 2, 2005
60. H. Zhao and B. L. Lu, "Determination of hyperplane by PCA for dividing training data set", 12th International Conference on Neural Information Processing (ICONIP 2005), pp.755-760, Taipei, October 30-November 2, 2005
61. 范志刚，吕宝粮, "基于迭代特征选择的快速多角度人脸识别", 计算机研究与发展, vol. 42, Suppl. B, pp. 325-329, 2005
62. 吕宝粮，刘峰耀，内山将夫, 井佐原均，"基于最小最大模块化支持向量机的多标号文本分类"，计算机研究与发展，vol. 42, Suppl. B, pp. 361-366, 2005
63. 文益民，杨旸，吕宝粮，"集成学习算法在增量学习中的应用研究"， 计算机研究与发展，vol. 42, Suppl. B, pp. 222-227, 2005
64. 赵海，吕宝粮，"基于最小最大模块化分类器的自重组学习算法"，计算机研究与发展，vol. 42, Suppl. B, pp. 243-247, 2005
65. 文益民，吕宝粮，"最小最大模块化支持向量机改进研究", 计算机工程与应用, vol. 19, pp. 185-188, 2005
66. B. L. Lu, K. A. Wang, M. Utiyama, and H. Isahara, "A part-versus-part method for massively parallel training of support vector machines", Proc. of IEEE/INNS Int. Joint Conf. on Neural Networks (IJCNN2004), Budabest, Hungary, July 25-29, pp. 735-740, 20046
7. Z. G. Fan and B. L. Lu, "An adjusted Gaussian skin-color model based on principle component analysis", Advances in Neural Networks-ISNN2004, Lecture Notes in Computer Science, vol. 3173, part I, pp. 804-809, 2004
68. Y. M. Wen and B. L. Lu, "A cascade method for reducing training time and the number of support vectors", Advances in Neural Networks-ISNN2004, Lecture Notes in Computer Science, vol. 3173, part I, pp. 480-485, 2004
69. H. Zhao and B. L. Lu, "Analysis of fault tolerance of a combining classifier", Advances in Neural Networks-ISNN2004, Lecture Notes in Computer Science , vol. 3173, 888-893, 2004
70. B. Huang and B. L. Lu, "Fault diagnosis for industrial images using a min-max modular neural network", 11th International Conference on Neural Information Processing (ICONIP2004), Calcutta, India, Nov. 22-25, 2004, Lecture Notes in Computer Science, vol. 3316, 843-847, 2004
71. Z. G. Fan and B. L. Lu, "Feature selection for fast image classification with support vector machines", 11th International Conference on Neural Information Processing (ICONIP2004), Calcutta, India, Nov. 22-25, Lecture Notes in Computer Science , vol.3316, 1026-1031, 2004
72. H. Zhao and B. L. Lu, "A modular k-nearest neighbor classification method for massively parallel text categorization", First International Symposium on Computational and Information Science, Shanghai, Dec. 16-18, Lecture Notes in Computer Science, vol.3314, pp.867-872, 2004
73. B. L. Lu, K. A. Wang, and Y. M. Wen, "Comparison of parallel and cascade methods for training support vector machines on large-scale problems" (invited paper), Proc. Of International Conference on Machine Learning and Cybernetics (ICMLC04), pp.3056-3061, Shanghai, China, Aug. 26-29, 2004
74. B. L. Lu, J. H. Shin, M. Ichikawa, 2004. Massively parallel classification of single-trial EEG signals using a min-max modular neural network. IEEE Transactions on Biomedical Engineering, vol.51, no.3, pp.551-558, 2004
75. B. L. Lu and K. Ito, "Converting general nonlinear programming problems into separable programming problems with feedforward neural networks", Neural Networks, vol. 16, pp. 1059-1074, 2003.
76. B. L. Lu, Q. Ma, M. Ichikawa, and H. Isahara, "Efficient part-of-speech tagging with a min-max modular neural network", Applied Intelligence, vol.19, pp.65-81, 2003
77. B. L. Lu, M. Ichikawa, "Emergent on-line learning with a Gaussian zero-crossing discriminant function", Proceedings of the International Joint Conference on Neural Networks, vol.2, pp.1263-1268, 2002
78. Q. Ma, B. L. Lu, H. Isahara, M. Ichikawa, "Part of speech tagging with min-max modular neural networks", Systems and Computers in Japan, vol.33, no.7, pp.30-39, 2002
79. B. L. Lu, J. Shin, M. Ichikawa, "Massively parallel classification of EEG signals using min-max modular neural networks", Lecture Notes in Computer Science, vol. 2130, 601-608, 2001
80. Q. Ma, B. L. Lu, M. Murata, et al. "On-line error detection of annotated corpus using modular neural networks", Lecture Notes in Computer Science, vol.2130, pp.1185-1192, 2001
81. J. H. Shin, B. L. Lu, A. Talnov, et al. "Reading auditory discrimination behaviour of freely moving rats from hippocampal EEG", Neurocomputing, vol.38, pp.1557-1566, 2001
82. B. L. Lu, M. Ichikawa, "Emergence of learning: An approach to coping with NP-complete problems in learning", Proceedings of the International Joint Conference on Neural Networks, vol.4, pp.159-164, 2000
83. B. L. Lu, M. Ichikawa, S. Hosoe, "Modular massively parallel learning framework for brain-like computers", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol.5, pp. 332-337, 1999
84. Q. Ma, B. L. Lu, H. Isahara, "Part of speech tagging with min-max modular neural networks", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol.5, pp.356-360, 1999
85. G. R. Ji, B. L. Lu, X. Chen, J. Wang, "Object searching in scale-space", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol.1, pp.565-570, 1999
86. B. L. Lu, H. Kita, Y. Nishikawa, "Inverting feedforward neural networks using linear and nonlinear programming", IEEE Transactions on neural networks, vol.10, no.6), pp.1271-1290, 1999
87. B. L. Lu, M. Ito, "Task decomposition and module combination based on class relations: A modular neural network for pattern classification", IEEE Transactions on Neural Networks, vol.10, no.5, pp.1244-1256, 1999
88. B. L. Lu, M. Ito, "Task decomposition based on class relations: A modular neural network architecture for pattern classification", Lecture Notes in Computer Science, vol.1240, pp.330-339, 1997
89.B. L. Lu and K. Ito, "Transformation of nonlinear programming problems into separable ones using multi-layer neural networks", Mathematics of Neural Networks: Models, Algorithms and Applications, S. W. Ellacott, J. C. Mason, and I. J. Anderson Eds., Kluwer Academic Publishers, pp.235-239, 1997
90.B. L. Lu, K. Ito, M. Ito, "Solving inverse kinematics problem of redundant manipulators in an environment with obstacles using separable nonlinear programming", Proceedings of the Japan/USA Symposium on Flexible Automation, vol.1, pp.79-82, 1996
91. B. L. Lu, K. Ito, "A Parallel and modular multi-sieving neural network architecture with multiple control networks", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol.2, pp.1303-1308, 1996
92. B. L. Lu, K. Ito, "Regularization of inverse kinematics for redundant manipulators using neural network inversions", IEEE International Conference on Neural Networks - Conference Proceedings, vol.5, pp.2726-2731, 1995
93. B. L. Lu, H. Kita, Y. Nishikawa, "Multi-sieving neural network architecture that decomposes learning tasks automatically", IEEE International Conference on Neural Networks - Conference Proceedings, vol.3, pp.1319-1324, 1994
94. B. L. Lu, Y. Bai, H. Kita, Y. Nishikawa, "Efficient multilayer quadratic perceptron for pattern classification and function approximation", Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp.1385-1388, 1993
95. B. L. Lu, H. Kita, Y. Nishikawa, "A new method for inverting nonlinear multilayer feedforward networks", Proceedings of IEEE International Conference on Industrial Electronics, vol.2, pp.1349-1354, 1991

Qianni Deng, Xugang Wang， Dehua Zang , Monitoring MPI Program Running Nodes Status for Load Balance, The 4th International Conference on Grid and Cooperative Computing (GCC2005). 2005.12
Deng Qianni , Lu Xinda, Chen Li , Li Minglu. Search by Shortcuts in P2P Scientific Collaboration System. High Tech. Letter. 2005. 3
Deng Qianni，Lu Xinda, Group Clustering Mechanism for P2P Large Scale Data Sharing Collaboration, Chinese Journal Electronics. 2005.1
Xugang Wang, Qianni Deng. VIP: a P2P communication Platform for NAT traversal, Third International Symposium on Parallel and Distributed Processing and Applications in 2005 (ISPA2005)
Xugang Wang, Qianni Deng , Xinda Lu , Dehua zang An Enhanced XMPI for Load Balance In Cluster Environment, National Open Distributed and Parallel Computing Symposium in 2005.
Chen Fangrong, Deng Qianni. A Special Naming and Resolving Mechanism for Peer-to-Peer Systems. SKG2005---1st International Conference on Semantics, Knowledge and Grid.
Hongbo Wan, Qianni Deng, Xinhua Lin, Xinda Lu, Minglu Li. The Design and Implementation of Service Adapter in ShanghaiGrid Core. International Workshop on Service Grid Computing and Applications (SGCA 2005)
Changxi Zheng, Guobin Shen, Shipeng Li, Qianni Deng: Joint Sender/Receiver Optimization Algorithm for Multi-Path Video Streaming Using High Rate Erasure Resilient Code. ICME 2005: 1258-1261
Kai Chen; Qianni Deng. Legitimate Peer-to-Peer Content Distribution Network. Fifth International Conference on Grid and Cooperative Computing，NGI Workshops, 2006 Page(s):129-132.
Kai X. Miao, Henning Schulzrinne, Vishal Kumar Singh, Qianni Deng: Distributed Self Fault-Diagnosis for SIP Multimedia Applications. MMNS 2007: 187-190
Qianni Deng, Hao Lv. Analyzing unstructured peer-to-peer search networks with QIL. Proceedings of 2004 IEEE International Conference on Services Computing, SCC 2004, p 547-550
Qianni Deng. A Generic Simulator for Unstructured Decentralized P2P File Sharing Networks. Proceedings of High Performance Computing and Applications (HPCA2004) Shanghai, China, August 8 th -10 th , 2004.
Qianni Deng, Xinda Lu. Grid service Framework：Supporting Multi-Models Parallel Grid Programming. Journal of Shanghai Jiaotong Univ.(Science)，Vol.E-9,No.1 Mar.2004. 56-59.
Li Chen, Hong Deng, Qianni Deng. A research of grid manufacturing and its application in custom artificial joint. Proceedings of International Conference of Computer Science 2004(ICCS 2004).
Chuliang Weng, Xinda Lu, Guangtao Xue, Qianni Deng, Minglu Li. A Double Auction Mechanism for Resource Allocation on Grid Computing Systems. Proceedings of the 2nd International Conference on Grid and Cooperative Computing(GCC2004), October 2004, Wuhan, China, Lecture Notes in Computer Science, Vol. 3251, pp. 269-276, Springer-Verlag Heidelberg.
Qianni Deng, Xinda Lu, Li Chen ,Minglu Li. A Resource Model for Large-Scale Non-Hierarchy Grid System. Proceeding of The Second International Workshop on Grid and Cooperative Computing (GCC2003) LNCS3033.669-676
Xinhua Lin, Qianni Deng, Xinda Lu Information Grid Toolkit: Infrastructure of Shanghai Information Grid. Proceeding of The Second International Workshop on Grid and Cooperative Computing (GCC2003) LNCS3032-3033
Li Chen, Hong Deng, Qianni Deng, Wu Zhenyu, A research on the framework of grid manufacturing, Proceeding of The Second International Workshop on Grid and Cooperative Computing (GCC2003) LNCS3032-3033
Chuliang Weng, Xinda Lu, Qianni Deng. Formalizing Service Publication and Discovery in Grid Computing Systems. Proceeding of The Second International Workshop on Grid and Cooperative Computing (GCC2003) LNCS3032-3033
Chuliang Weng, Xinda Lu, Qianni Deng. A Distributed Approach for Resource Pricing in Grid Environments.Proceeding of The Second International Workshop on Grid and Cooperative Computing (GCC2003) LNCS3032-3033
Li Chen, Hong Deng, Qianni Deng. Framework for grid manufacturing, Tsinghua Science and Technology, v 9, n 3, June, 2004, p 327-330
Qianni Deng, Xinda Lu. GSF: A problems solving environment supporting multi-models parallel grid programming. International Conference on Computational Science (ICCS 2003), JUN 02-04, 2003 . COMPUTATIONAL SCIENCE - ICCS 2003, PT IV, PROCEEDINGS ,LNCS2660 413-419, 2003
Xinhua Lin, Yang Qi, Jing Zhao, Xinda Lu, Hong Liu, Qianni Deng. Building CFD Grid Application Platform on CGSP. Proceedings of High Performance Computing and Applications (HPCA2004) Shanghai, China, August 8 th -10 th , 2004
Xinhua Lin, Xili Sun, Xinda Lu, Qianni Deng, Minglu Li. Recent Advances in CFD Grid Application Platform.The 2004 IEEE International Conference on Services Computing (SCC 2004), Shanghai, China, September 15-18, 2004.
Xinhua Lin, Xinda Lu, Hong Liu, Qianni Deng, Lei Chen. Service Domain-based CFD Grid Application Platform. Proceedings of the Advances on Computer Architecture, (ACA\04)