组织架构> 主要成员> C. L. Philip CHEN

C. L. Philip CHEN

C. L. Philip CHEN 陳俊龍

1 个人简历
Dr. Chen has been involving in professional service for more than twenty years. He has served as a member of organizing committee for many IEEE conferences under different capacities.....more
2 教育背景
Ph.D. Electrical and Computer Eng., Purdue University, West Lafayette, IN, USA, 1988
M.S. Electrical and Computer Eng., The University of Michigan, Ann Arbor, MI, USA, 1985
B.S. (E) Electrical Engineering, National Taipei University of Technology, Taiwan, 1979
3 工作经历
2010- Chair Professor and Dean, Faculty of Science of Tech., University of Macau
2005-2009 Associate Dean, Interim Chair, Chair, U of Texas-San Antonio, Texas
2002-2010 Professor, Department of Electrical Engineering, U of Texas-San Antonio, Texas
1989-2002 Professor (1999), Associate Prof (1995), Assistant Prof, Department of Computer
1989-2002 Science and Engineering, Wright State University, Dayton, Ohio
1988-1989 Visiting Assistant Prof, Purdue University--Indianapolis, IN
4 学术经历
2011- Obuda University, Budapest, Hungary, (visiting) Honorary Professor
2010- Dalian University of Tech., China, (visiting) HaiTien Honorary Prof
2009-2012 National Chung-Hsin University, Taiwan, (visiting) Chair Professor
2008- ABET (Accreditation Board of Engineering and Technology Education, USA,Program Evaluator
1998, 1999, 2002 Summer NASA Glenn Research Center Research Faculty Fellow, USA
1994-2001 Wright Lab, ARL Visiting Research Scientist, USA
1995-1996 National Research Council Research Fellow, USA
1993, 2001 Summer Wright-Patterson AFB Research Faculty, USA
5 教学
B.Sc. Courses
1. Computer Networking
2. Program Languages
3. Computer Controls
4. Robotics
M.Sc. Courses
1. Computational Intelligence
2. Neural Networks
3. Advanced Computer Engineering Mathematics
4. Robotics and Controls
6 所获荣誉
Eight papers listed in “Highly Cited Papers” (高度被引用論文), within top 1% of papers published in ISI database, 2 of which are in top 0.1% (see baseline indices), by the ISI Web of Knowledge, Essential Science Indicators (基本科學指標) from Feb 2005 to Feb 2015 (10-year window frame) at the same time. These are:
• One paper in IEEE TRANS on NEURAL NETWORKS, Vol. 22, No. 7, pp. 1162-1167, July 2011.
• One paper in IEEE TRANS on NEURAL NETWORKS, Vol. 22, No. 8, pp. 1328-1334, August 2011.
• One paper in FUTURE GENERATION COMPUTER SYSTEMS, Vol. 28, No. 2, pp. 391-404, Feb 2012.
• One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 21, No. 2, pp. 275-288, April 2013.
• One paper in IEEE TRANSACTIONS ON CYBERNETICS, Vol. 44, No. 5, pp. 583-593, May 2014.
• One paper in Signal Processing, Vol. 97, pp. 172-182, April, 2014.
• One paper in IEEE TRANS NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 25, No. 6, pp. 1217- 1226, JUN, 2014.
• One paper in INFORMATION SCIENCES, Vol. 275, pp. 314-347, AUG 10, 2014.
7 研究方向
• Computational intelligent systems
• Computer networking, location and information security
• Data mining and knowledge discovery
• Information indexing, retrieval, and communications
• Robotics and CAD/CAM
8 科研项目
Macau Science and Technology Development Fund (FDCT), PI (Sole), "Novel Wireless Positioning Technology for Weak Signal Condition in Assisted Global Positioning Systems", $2,548,900 MOP, Oct, 2010 – Oct 2013.
NASA, Glenn Research Center, PI, “Risk Analysis and Life Estimation for Sensor-Based Turbine Engines,” NNC04GB35G, US $216,981, August, 2004— August, 2008.
AFOSR, Task Manager and PI, “Innovative Methods for Engine Health Monitoring,” FA9550-04-0254, US $973,000, June, 2004- December, 2006.
Texas State Coordinating Board of Higher Education, Co-PI, “A Novel Ph.D. Joint Program Initiative Integrating Chemistry, Electrical Engineering, and Biomedical Engineering,” US $500,000, August 2009-August 2012.
Texas State Coordinating Board of Higher Education, Co-PI, “Engineering Core Curriculum Redesign for Increasing Preparedness and Retention,” US $264,900, April 2007- August 2009.
Professional Affiliations
IEEE ( Institute of Electrical and Electronics Engineers, www.ieee.org )
AAAS (American Association for the Advancement of Science, www.aaas.org)
Association Computing Machinery (ACM)
Tau Beta Pi Engineering Honor Society
Eta Kappa Nu Electrical Engineering Honor Society
2006- Been President of IEEE Systems, Man, and Cybernetics (SMC) Society, Vice President on Conferences and Meetings, VP on Tech Activities – Systems Science and Eng., Treasurer, Board member, ExCom member
2007 Fellow, IEEE.
2009 Fellow, AAAS (American Association for the Advancement of Science, www.aaas.org)
2014 Fellow, Chinese Association of Automation (中國自動化學會)
9 学术活动
(1) Professional Activities:
2014- Editor-in-Chief, IEEE Transactions on Systems, Man, and Cybernetics: Systems, http://www.ieeesmc.org/publications/index.html
2015- Deputy Editor-in-Chief, international section, Acta Automatica Sinica
2015- Chair, TC 9.1 Economic and Business Systems, IFAC ( International Federation of Automatic Control )
2014-2015 Jr. Past President, IEEE Systems, Man, and Cybernetics Society (www.ieeesmc.org)
2012-2013 President, IEEE Systems, Man, and Cybernetics Society (www.ieeesmc.org)
2012- Executive board member, Chinese Association of Automation (中國自動化學會, 常務理事)
2011 President Elect, IEEE Systems, Man, and Cybernetics Society
2010-2011 Vice President on Conferences and Meetings, IEEE Systems, Man, and Cybernetics Society
2009- AAAS Fellow (American Association for the Advancement of Science, www.aaas.org)
2014 Program Chair, IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA USA.
2009 General Chair, IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texas, USA.
2008 General Co-Chair, IEEE Int'l Conference on Secure Systems Integration and Reliability Improvement (SSIRI 2008), Yokohama, Japan.
2008-2010 IEEE SMC Society Vice President on Tech Activities -- Systems Science and Eng.
2007- IEEE Fellow & IEEE Systems, Man, and Cybernetics (SMC) Society ExCom
2006- IEEE SMCS Treasurer, Associate Editor, IEEE Trans. on SMC, IEEE Systems Journal, IEEE SMC Society Treasurer
2005-2006 Program/Organizing Committee of IEEE Int’l Conf on Systems, Man, and Cybernetics (SMC), Robotics and Automation, World Congress on Computational Intelligence. IEEE SMC Board of Governors, Program Co-Chairs of IEEE SoSE conference.
1998-2003 Program/Organizing Committee of IEEE/RSJ Int'l Conf. on Intellg. Robots & Systems.
1991-2003 Technical Committee of Int'l Conference on Artificial Neural Networks in Engineering
1995-1996 Conference Co-Chair of Int'l Conference on Artificial Neural Networks in Engineering.
10 获奖经历
Macau Natural Science Award (Technologies for Feature Analysis and Multimedia Security), 3rd place award, Macau government, July 2014.
Science and Technology Award (Regularization: theoretical, methodology, and applications), 3rd place award, Beijing Government, 2012
4th place AT&T Big Mobile on Campus Challenge, 2008
Outstanding Contribution Award, IEEE SMC Society, 2008, 2010, and 2013
Best Paper Awards (runner-up), ANNIE Conference, 2000 and 2001
Research Excellent Faculty Award, College of Eng. & CS, WSU, 1997
Research Fellow, National Research Council, USA, 1995-1996
Research Initial Award, National Science Foundation, USA, 1990
11 学术论文
1. C. L. Philip Chen, Licheng Liu, Long Chen, Y. Y. Tang, and Yicong Zhou, “Weighted Couple Sparse Representation with Classified Regularization for Impulse Noise Removal,” IEEE Transactions on Image Processing, Vol. 24, No. 11, pp. 4014-4026, Nov. 2015.
2. Yicong Zhou, ZY Hua, CM Pun, and C. L. Philip Chen, "Cascade Chaotic System with Applications,” IEEE Trans. on Cybernetics, Vol. 25, Issue 9, pp. 2001-2012, Sept 2015.
3. Z. Y. He, Y. X.Cui, H. P. Wang, X.G. You, C.L.P. Chen, “One global optimization method in network flow model for multiple object tracking,” Knowledge-Based Systems, Vol 86, pp. 21-32, September 2015.
4. Jiantao Peng, Yicong Zhou, and C. L. Philip Chen, “Region-Kernel-Based Support Vector Machines for Hyperspectral Image Classification,” IEEE Trans. on Geoscience and Remote Sensing, Vol. 53, Issue 9, pp. 4810-4824, Sept., 2015.
5. Guo-Xing Wen, C. L. Philip Chen, Yan-Jun Liu, and Zhi Liu, “Neural-Network-based Adaptive Leader-Following Consensus Control for Second-Order Nonlinear Multi-agent Systems,” IET Control Theory and Applications, Vol. 9, No. 13, pp. 1927-1934, Aug, 2015.
6. Zhi Liu, GY Lai, Yun Zhang, and C. L. Philip Chen, “Adaptive Neural Output Feedback Control of Output-Constrained Nonlinear Systems With Unknown Output Nonlinearity,” IEEE Trans on Neural Networks and Learning Systems, Vol. 26, Issue 8, pp. 1789-1802, August, 2015.
7. C. Chen, Z. Liu, Y. Zhang, and CLP Chen, “Adaptive control of robotic systems with unknown actuator nonlinearities and control directions,” Nonlinear Dynamics, Vol. 81, No. 3, pp. 1289-1300, August, 2015.
8. L. C. Liu, C. L. Philip Chen, Y.C. Zhou, Xinge You, “A new weighted mean filter with a two-phase detector for removing impulse,” Information Sciences, Vol. 315, pp. 1-6, DOI: 10.1016/j.ins.2015.03.067 , Sept 2015.
9. Jiantao Peng, Yicong Zhou, and C. L. Philip Chen, “Region-Kernel-Based Support Vector Machines for Hyperspectral Image Classification,” IEEE Trans. on Geoscience and Remote Sensing, DOI:10.1109/TGRS.2015.2410991, Vol. 53, Issue 9, pp. 4810-4824, Sept., 2015.
10. ZQ Zhu, XG You, CLP Chen, DC Tao, WH Ou, XB Jiang, JX Zhou, “An adaptive hybrid pattern for noise-robust texture analysis,” Pattern Recognition, Vol. 48, Issue 8, pp. 2592-2608, 2015.
11. XB Jiang, XG You, SJ Yu, DC Tao, CLP Chen, and YM Cheung, “Variance Constrained Partial Least Squares,” Chemometrics and Intelligent Laboratory Systems, Vol. 145, pp. 60-71, July, 2015. DOI: 10.1016/j.chemolab.2015.04.014.
12. Min Gan, C. L. Philip Chen, HX Li, and L. Chen, “Gradient Radial Basis Function Based Varying-Coefficient Autoregressive Model for Nonlinear and Nonstationary Time Series,” IEEE Signal Processing Letters, Vol. 22, Issue 7, pp. 809-812, July 2015.
13. Chang-E Ren and C. L. Philip Chen, “Sliding Mode Leader-Following Consensus Controllers for Second-order Nonlinear Multi-Agent Systems,” IET Control Theory and Applications, Vol. 9, Issue 10, pp. 1544-1552, June 2015.
14. Yicong Zhou, Jiangtao Peng, and C. L. Philip Chen, "Extreme Learning Machine with Composite Kernels for Hyperspectral Image Classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 8, No. 6, pp. 2351-2360, June, 2015.
15. Tieshan Li, Zifu Li, Dan Wang, C. L. Philip Chen, “Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-varying Delay Systems with Unknown Control Directions,” IEEE Trans on Neural Networks and Learning Systems, Vol. 26, Issue 6, pp. 1188-1201, June, 2015.
16. P. Lourenco, P. Batista, P. Oliveira, C. Silverstre, and CLP Chen, “Sensor-based globally exponentially stable range-only simultaneous localization and mapping,” Robotics and Autonomous Systems, Vol. 68, pp. 72-85, June 2015.
17. GY. Lai, Z. Liu, Y. Zhang, X Chen, and CLP Chen, “Robust Adaptive Fuzzy Control of Nonlinear Systems with Unknown and Time-Varying Saturation,” Asian Journal of Control, Vol. 17, Issue 3, pp. 791-805, May 2015.
18. Hong Li, D. Pan, and C. L. Philip Chen, “Reliability Modeling and Life Estimation Using an Expectation Maximization Based Wiener Degradation Model for Momentum Wheels”, IEEE Trans. On Cybernetics, Vol. 45, pp. 955-963, May, 2015.
19. Yan-Jun Liu, Li Tang, Shaocheng Tong, and C. L. Philip Chen, “Adaptive NN Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems,” IEEE Trans on Neural Networks and Learning Systems, Vol. 26, Issue 5, pp. 1007-1018, May, 2015.
20. Zhi Liu, Jing Luo, Liyang Wang, Y. Zhang, C. L. Philip Chen, and X. Chen, “A Time-Sequence-Based Fuzzy Support Vector Machine Adaptive Filter for Tremor Cancelling for Microsurgery, International Journal of Systems Science,” Vol. 46, Issue 6, pp. 1131-1146, April, 2015.
21. Daniel Viegas, Pedro Batista, Paulo Oliveira, Carlos Silvestre, and C. L. P. Chen, “Distributed State Estimation for Linear Multi-Agent Systems with Time-Varying Measurement Topology,” accepted, Automatica, Volume: 54 pp. 72-79, April, 2015
22. Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang, Yuewei Lin: NNMap: A method to construct a good embedding for nearest neighbor classification. Neurocomputing, Vol. 152, pp. 97-108, March 25, 2015.
23. Xiao-Chen Yuan, Chi Man Pun, and C. L. Philip Chen, “Robust Mel-Frequency Cepstral Coefficients Feature Detection and Dual-Tree Complex Wavelet Transform for Digital Audio Watermarking,” Information Sciences, Vol. 298, pp. 159-179, March 20, 2015.
24. Zhongyun Hua, Yicong Zhou, Chi-Man Pun, C. L. Philip Chen, “ 2D Sine Logistic modulation map for image encryption,” Information Sciences, Vol. 297, pp. 80-94, March 10, 2015
25. Zhong-Qiu Zhao, Lin-Hai Ma, Yiu-ming Cheung, Xindong Wu, Yuan Yan Tang, C. L. Philip Chen, “ApLeaf: An efficient android-based plant leaf identification system,” Neurocomputing, Vol. 151, pp. 1112-1119, March 2015.
26. K-C Choi, CM Pun, and C. L. Philip Chen, “Application of a Generalized Difference Expansion Based Reversible Audio Data Hiding Algorithm,” Multimedia Tools and Applications, Vol. 74, Issue 6, pp. 1961-1982, March 2015.
27. Z. Liu, Ci Chen, Yun Zhang, and C. L. Philip Chen, “Adaptive Neural Control for Dual-arm Coordination of Humanoid Robot With Unknown Nonlinearities in Output Mechanism,” IEEE Trans. on Cybernetics, Vol. 45, Issue 3, pp. 521-532, March 2015.
28. Zhi Liu, Ci Chen, Yun Zhang, C. L. Philip Chen, “Coordinated fuzzy control of robotic arms with actuator nonlinearities and motion constraints, ” Information Sciences, 296, pp. 1-13, March 2015.
29. Z. Liu, F. Wang, Y. Zhang, X. Chen, and C. L. Philip Chen, “Adaptive Tracking Control for a Class of Nonliear Systems with Fuzzy Dead-Zone Input ,” IEEE Trans. on Fuzzy Systems, 10.1109/TFUZZ.2014.2310491, Vol. 23, No. 1, pp. 193-204, Feb 2015.
30. D.G. Wang, C. L. Philip Chen, WY Song, and HX Li, “Error Compensated Marginal Linearization Method for Modeling a Fuzzy System,” IEEE Trans. on Fuzzy Systems, 10.1109/TFUZZ.2014.2306952, Vol. 23, No. 1, pp. 215-222, Feb 2015.
31. F. Wang, Z. Liu, Y. Zhang, X Chen, and C. L. Philip Chen, “Adaptive fuzzy dynamic surface control for a class of nonlinear systems with fuzzy dead-zone and dynamic uncertainties”, Nonlinear Dynamics, Vol. 79, Issue 3, pp. 1693-1709, Feb 2015.
32. Y. Zhou, J. Peng, and C. L. Philip Chen, “Dimension Reduction Using Spatial and Spectral Regularized Local Discriminant Embedding for Hyperspectral Image Classification,” IEEE Trans. on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2014.2333539, Vol. 53, Issue 2, pp. 1082-1095, Feb, 2015.
33. Yicong Zhou, Weijia Cao, Licheng Liu, Sos Agaian, and C. L. Philip Chen, “Fast Fourier Transform Using Matrix Decomposition,” Information Sciences, Volume: 291, pp. 172-183, Jan 2015. 34. G. Huang, D. Akopian, and C. L. Philip Chen, “Network Delay Modeling for Assisted GPS,” IEEE Tran. On Aerospace and Electronic Systems, Vol. 51, Issue 1, pp. 52-64, Jan 2015.
35. Yan-Jun Liu, Li Tang, Shaocheng Tong, and C. L. Philip Chen, "Reinforcement Learning Design-Based Adaptive Tracking Control with Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems,” IEEE Trans on Neural Networks and Learning Systems, Vol. 26, Issue 1, pp. 165-176, Jan, 2015.
36. B. Fu, Yang Xiao, X Liang, and C. L. Philip Chen, “Bio-Inspired Group Modeling and Analysis for Intruder Detection in Mobile Sensor/Robotic Networks,” IEEE Trans. On Cybernetics, Vol. 45, Issue 1, pp. 103-115, Jan 2015.
37. J. Wang, C. L. Philip Chen, and C. H. Wang, “The Bounded Capacity of Fuzzy Neural Networks (FNNs) via a New Fully Connected Neural Fuzzy Inference System (F-CONFIS) with Its Applications,” IEEETrans. on Fuzzy Systems,DOI: 10.1109/TFUZZ.2013.2292972, Vol. 22, Issue 6, pp. 1373-1386, Dec., 2014.
38. Zifu Li, Tieshan Li, Baobin Miao, C. L. Philip Chen, “Adaptive NN Control for a Class of Stochastic Nonlinear Systems with Unmodeled Dynamics Using DSC Technique,” Neurocomputing, Vol. 149, pp. 142-150, 2015.
39. J. Wang, C. L. Philip Chen, and C. H. Wang, “The Bounded Capacity of Fuzzy Neural Networks (FNNs) via a New Fully Connected Neural Fuzzy Inference System (F-CONFIS) with Its Applications,” IEEE Trans. on Fuzzy Systems, DOI: 10.1109/TFUZZ.2013.2292972, Vol. 22, Issue 6, pp. 1373-1386, Dec., 2014.
40. J. Chen, Y.Y. Tang, C. L. Philip Chen, B. Fang, YW Lin, ZW Shang, “Multi-Label Learning With Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction,” IEEE Trans. on Nanobioscience, Vol. 13, Issue 4, pp. 438-447, Dec., 2014.
41. J. Zhou, C. L. Philip Chen, Long Chen, H-X Li, and W. Zhao, “A Collaborative Fuzzy Clustering Algorithm in Distributed Network Environments,” IEEE Trans. on Fuzzy Systems, 10.1109/TFUZZ.2013.2294205, Vol. 22, Issue 6, pp. 1443-1456, Dec., 2014.
42. Z. Liu, Guanyu Lai, Yun Zhang, Xin Chen, and C. L. Philip Chen, “Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis,” IEEE Trans on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2014.2305717, Vol. 25, Issue 12, pp. 2029-2140, Dec., 2014.
43. Xin Li, Xinge You, and C. L. Philip Chen, “A Novel Joint Tracker Based on Occlusion Detection,” Knowledge-Based Systems, Vol. 21, SI, pp. 409-418, 2014.
44. G. Huang, D. Akopian, and C. L. Philip Chen, “Measurement and Characterization of Channel Delays for Broadband Power Line Communications,” IEEE Tran. On Instrumentation and Measurement, DOI: 10.1109/TIM.2014.2313033, Vol. 63, Issue 11, pp. 2583-2590, Nov., 2014.
45. Z. Liu, S. Xu, Y. Zhang, and C. L. Philip Chen, “A Multiple-Feature and Multiple-Kernel Scene Segmentation Algorithm for Humanoid Robot,” IEEE Trans. On Cybernetics, DOI: 10.1109/TSMC.2013.2297398, Vol. 44, Issue 11, pp. 2232-2240, Nov, 2014.
46. C. L. Philip Chen, J. Wang, CH. Wang, and L. Chen, “A New Learning Algorithm for a Fully Connected Fuzzy Inference System (F-CONFIS),” IEEE Trans on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2014.2306915, Vol. 25, Issue 10, pp. 1741-1757, Oct, 2014.
47. Z. Liu, S. Q. Xu, Y. Zhang, and C. L. Philip Chen, “Adaptive Fuzzy Output-Feedback Controller Design for Nonlinear Systems via Backstepping and Small-Gain Approach,” IEEE Trans. On Cybernetics, DOI: 10.1109/TCYB.2013.2292702, Vol. 44, No. 10, pp. 1714-1725, Oct., 2014.
48. G. Huang, D. Akopian, and C. L. Philip Chen, “Measurement and Modeling of Network Delays for A-GPS Assistant Delivery,” IEEE Trans. on Instrumentation and Measurement, 10.1109/TIM.2014.2302238, Vol. 63, Issue 8, pp. 1896-1906, August, 2014.
49. Z. Liu, C. Mao, J. Luo, Y. Zhang, and C. L. Philip Chen, “A Three-domain Fuzzy Wavelet Network Filter using Fuzzy PSO for Robotic Assisted Minimally Invasive Surgery,” Knowledge Based Systems, http://dx.doi.org/10.1016/j.knosys.2014.03.025, Vol. 66, pp. 13-27, August, 2014.
50. X. Wang, T.S. Li, C. L. P. Chen, and B. Lin, “Adaptive Robust Control based on Single Neural Network Approximation for a Class of Uncertain Strict-Feedback Discrete-time Nonlinear Systems,” DOI: 10.1016/j.neucom.2014.02.003, Neurocomputing, Vol. 138, pp. 325-331, Aug, 2014.
51. C. L. Philip Chen and C. Y. Zhang, “Data-Intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data,” Information Sciences, DOI: 10.1016/j.ins.2014.01.015, Vol. 275, pp. 314–347, August 2014.
52. J. X. Du, CM Zhai, YL Guo, Y. Y. Tang, and C. L. P. Chen, “Recognizing Complex Events in Real Movies by Combining Audio and Video Features,” DOI: 10.1016/j.neucom.2013.04.053, Neurocomputing, Vol. 137, pp. 89-95, Aug, 2014.
53. YP Jiang, C. L. Philip Chen, and J. W. Duan, “A New Practice-Driven Approach to Develop Software in a Cyber-Physical System Environment,” to appear in Enterprise Information Systems, Taylor Francis; DOI: 10.1080/17517575.2014.939107, August, 2014.
54. H. Li, D. H. Pan, and C. L. Philip Chen, “Intelligent Prognostics for Battery Health Monitoring Using Mean Entropy and Relevance Vector Machine,” IEEE Trans. On Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2013.2296276, Vol. 44, No. 7, pp.851-862, July, 2014.
55. T. P. Zhang, YY Tang, C. L. Philip Chen, ZW Shang, B. Fang, “An Approximate Closed-Form Solution to Correlation Similarity Discriminant Analysis,” DOI: 10.1016/j.neucom.2013.12.015, Neurocomputing, Vol. 135, July, pp. 284-298, 2014, Elsevier.
56. Yicong Zhou, W. Cao, and C. L. Philip Chen, “Image Encryption using Binary Bitplane,” Signal Processing, Vol. 100, pp. 197-207, July, 2014.
57. C. L. Philip Chen, G. X. Wen, Y. J. Liu, and F.Y. Wang, “Adaptive Consensus Control for a Class of Nonlinear Multi-agent Time-delay Systems using Neural Networks,” IEEE Trans. On Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2014.2302477, Vol. 25, No. 6, pp. 1217-1226, June 2014.
58. C. L. Philip Chen, Yan-Jun Liu, and GX Wen, “Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Stochastic Systems,” IEEE Trans. On Cybernetics, Vol. 44, No. 5, pp. 583-593, May 2014.
59. Y. Wang, Shaodan Ma, and C.L. Philip Chen, “TOA-Based Passive Localization in Quasi-Synchronous Networks,” IEEE Communications Letters, DOI: 10.1109/LCOMM.2014.021214.132662, Vol. 18, Issue 4, pp. 592-595, April 2014.
60. LY Wang, Z. Liu, C. L. P. Chen, and Y. Zhang, “ Interval type-2 fuzzy weighted support vector machine learning for energy efficient biped walking,” Applied Intelligence, Vol. 40, Issue 3, pp. 453-463, April, 2014.
61. Z. Liu, C. L. Philip Chen, Y. Zhang, X. Chen, and Y. Wang, “A Three-Domain Fuzzy Support Vector Regression Image Denoising and Experimental Studies,” IEEE Trans. On Cybernetics, Vol. 44, No. 4, April, 2014, pp. 516-525.
62. Y. Zhou, B. Long, and C. L. Philip Chen, “A New 1D Chaotic System for Image Encryption,” Signal Processing, Vol. 97, pp. 172-182, April, 2014.
63. YQ Ren, XG Duan, HX Li, and C. L. Philip Chen, “Dynamic Switching based Fuzzy Control Strategy for a Class of Distributed Parameter System”, Journal of Process Control, Vo. 24, Issue 3, pp. 88-97, 2014.
64. L. Chen, J. Zhou, and C. L. Philip Chen, “Kernel Spatial Shadowed C-Means for Image Segmentation,” International Journal of Fuzzy Systems, Vol. 16, Issue 1, pp. 46-56, March, 2014.
65. Z. Liu, SQ Xu, Y. Zhang, X, Chen and CLP Chen, “ Interval Type-2 Fuzzy Kernel Based Support Vector Machine Algorithm for Scene Classification of Humanoid Robot,” Soft Computing, Vol. 18, Issue 3, pp. 589-606, March, 2014.
66. Mohammed Lutf, Xinge You, YM Cheung, and C. L. Philip Chen, “Arabic Font Recognition based on Diacritics Features,” Pattern Recognition, Vol. 47, No. 2, pp. 672-684, Feb., 2014, Elsevier.
67. J. Gao, J Liu, B. Rajan, R. Nori, B. Fu, Y Xiao, W. Liang, and C . L. Philip Chen , “SCADA Communication and Security Issues,” Security and Communication Networks, Volume 7, Issue 1, Pages: 175-194, Jan 2014.
68. J. Y. Zhang, Y. Huang, YM Wang, Y. Xiao, and CLP Chen, “Range-based Localization Algorithms Integrated with the Probability of Ranging Error in Wireless Sensor Networks,” International Journal of Sensor Networks, Vol. 15, No. 1, pp. 23-31, 2014.
69. J. Chen, YY Tang, CLP Chen, B Fang, ZW Shang, and YW Lin, “Similarity Measure Learning in Closed-Form Solution for Image Classification ,” Scientific World Journal, Article Number 747105, DOI: 10.1155/2014/747105, 2014.
70. C. L. Philip Chen, H. Li, YT Wei, T. Xia, and Y. Y. Tang, “A Local Contrast Method for Small Infrared Target Detection,” IEEE Trans. on Geoscience and Remote Sensing, Vol. 52, No. 1, pp. 574-581, Jan. 2014.
71. Ronghui Li, Tieshan Li, Renxiang Bu, Qingling Zheng, and C. L. Philip Chen, Active Disturbance Rejection with Sliding Mode Control Based Course and Path Following for Underactuated Ships, Mathematical Problems in Engineering, Article ID 743716, http://dx.doi.org/10.1155/2013/743716, open access, 2013.
72. L.Y. Wang, Z. Liu, C. L. P. Chen, Y. Zhang, S. H. Lee, and X. Chen, “ A UKF-Based Predictable SVR Learning Controller for Biped Walking,” IEEE Trans. On Systems, Man, and Cybernetics: Systems, Vol. 43, Issue 6, pp. 1440-1450, Nov. 2013.
73. X. L. Zhou, P. Guo, and C. L. Philip Chen, “Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle,” Neural Processing Letters, Vol. 338, Issue, 2, pp. 227-238, Oct., 2013.
74. J. Zhou, C. L. Philip Chen, Long Chen, and W. Zhao, “A User-customizable Urban Traffic Information Collection Method based on Wireless Sensor Networks,” IEEE Trans. On Intelligent Transportation Systems, Vol. 14, No. 3, pp. 1119-1128, September, 2013.
75. Yicong Zhou, L. Bao, and C. L. Philip Chen, “Image Encryption using a new Parametric Switching Chaotic System,” Signal Processing, Vol. 93, Issue 11, pp. 3039-3052, Nov., 2013.
76. Haichuan Ding, Shaodan Ma, Chengwen Xing, ZesongFei, Yiqing Zhou and C.L. Philip Chen, “Analysis of Hybrid ARQ in Ad Hoc Networks with Correlated Interference and Feedback Errors”, IEEE Trans. On Wireless Communications, Vol. 12, No. 8, pp. 3942-3955, Aug., 2013.
77. A. Olteanu, Y. Xiao , J. Liu, T. M. Chen, and C. L. P. Chen, “Non-intrusive Tracing in the Internet,” Security and Communication Networks (Wiley Journal of), 10.1002/sec.616, Vol. 6, No. 7, pp. 833-843, July, 2013.
78. X-C Yuan, C-M Pun, and C. L. Philip Chen, “Geometric Invariant Watermarking by Local Zernike Moments of Binary Image Patches,” Signal Processing: An International Journal, Vol. 93, Issue 7, pp. 2087-2095, 2013.
79. Liyang Wang, Z. Liu, C. L. Philip Chen, Y. Zhang, and S. K. Lee, “An Energy Efficient SVM learning Control System for Biped Walking Robots,” IEEE Trans. on Neural Networks and Learning Systems, Vol. 24, No. 5, pp. 831-837, May2013.
80. L. Liu, Y. J. Liu, and C. L. Philip Chen, “Adaptive Neural Network Control for a DC Motor System with Dead-Zone,” Nonlinear Dynamics, Vol. 72, No. 1-2, pp. 141-147, April 2013.
81. Y J Liu, Shaocheng Tong, and C. L. Philip Chen, “Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems with Unmodeled Dynamics,” IEEE Trans. on Fuzzy Systems, Vol. 21, No. 2, pp. 275-288, April, 2013.
82. Zhi Liu, C. L. Philip Chen, Yun Zhang, Han-Xiong Li, “A Three-domain Fuzzy Wavelet System for Simultaneous Processing of Time-Frequency Information and Fuzziness,” IEEE Trans. on Fuzzy Systems, Vol. 21, No. 1, pp. 176-183, Feb, 2013.
83. Liyang Wang, Z. Liu, C. L. Philip Chen, Y. Zhang, S. K. Lee, and X. Chen, “Fuzzy SVM learning control system considering time properties of biped walking samples”, Engineering Applications of Artificial Intelligence, Vol. 26, No. 2, pp. 757-765, Feb, 2013.
84. H, Li, Y.T. Wei, L. Q. Li, and C. L. Philip Chen, “Hierarchical Feature Extraction with Local Neural Response for Image Recognition,” IEEE Trans. On Cybernetics, Vol. 43, Issue 2, pp. 412-424, April 2013, 2013.
85. Y. Zhou, K. Panetta, S. Agaian, C. L. P. Chen , “(n,k,p)-Gary Code for Image Systems,” IEEE Trans. on Cybernetics, Vol. 43, Issue 2, pp. 515-529, April 2013.
86. Z. Xiao, B. Fu, Y. Xiao, C. L. Philip Chen, and Wei Liang, “A Review of GENI authentication and access control mechanisms,” International Journal of Security and Networks (IJSN),. Vol. 8, No. 1, pp. 40-60, 2013.
87. Yao-Qing Ren, Xiao-Gang Duan, Han-Xiong Li, C.L. Philip Chen, “Multi-variable Fuzzy Logic Control for a Class of Distributed Parameter Systems,” Journal of Process Control, pp. 351-358, Vol. 23, 2013, Elsevier.
88. L. Chen, Jinbo Li, and C. L. Philip Chen, “Regional multifocus image fusion using sparse representation,” Optics Express, Vol. 21, Issue 4, pp. 5182-5197, Feb., 2013.
89. Zhi Liu, Yun Zhang, and C. L. Philip Chen, “Adaptive mechanism-based congestion control for networked systems,” International Journal of Systems Science, Volume: 44, Issue 3, pp. 533-544, 2013.
90. C. L. Philip Chen, J. Zhou, and W. Zhao, “A Real-Time Vehicle Navigation Algorithm in Sensor Network Environments,” IEEE Trans. On Intelligent Transportation Systems, Vol. 13, No. 4, pp. 1657-1666, Dec., 2012.
91. J. Liu, Y. Xiao, S. Li, W. Liang, and C. L. P. Chen, “Cyber Security and Privacy Issues in Smart Grids,” IEEE Communication Survey and Tutorials,pp. 981-997, Vol. 14, No. 4, 2012.
92. Zhi Liu, Li-Yang Wang, C. L. Philip Chen, Xiao-JieZeng, and Yun Zhang, “Energy Efficiency-Based Gait Control System Architecture and Algorithm for Biped Robots,” IEEE Trans on System Man and Cybernetics, Part C, Vol. 42, No. 6, pp. 926-933, Nov. 2012.
93. L. Wang, Z. Liu, C. L. Philip Chen, Y. Zhang, and SK Lee, “Support Vector Machine Based Optimal Control for Minimizing Energy Consumption of Biped Walking Motions,”International Journal of Precision Engineering and Manufacturing, Volume 13, Issue: 11, pp.1975-1981, Nov. 2012.
94. Zhi Liu, C.L. Philip Chen, Yun Zhang, H-X Li, “Type-2 Hierarchical Fuzzy System for High-dimensional Data-based Modeling with Uncertainties,” Soft Computing, Volume 16, Issue: 11, pp. 1945-1957, 2012.
95. C. L. Philip Chen, Mei-Ching Chen, S. Agaian, Y. Zhou, A. Roy, Benjamin M Rodriguez, “A Pattern Recognition System for JPEG Steganography Detection,”Optics Communications, Vol 285, Issue: 21-22, pp. 4252-4261, 2012.
96. G. X. Wen, Y.J. Liu, and C. L. Philip Chen, “Direct Adaptive Robust NN Control for a Class of Discrete-Time Nonlinear Strict-Feedback SISO Systems,”Neural Computing and Applications, Vol. 21, No. 6, pp. 1423-1431, 2012.
97. Y. Zhou, K. Panetta, S. Agaian, C. L. P. Chen, “Image encryption using P-Fibonacci transform and decomposition,” Optics Communications, Volume 285, Issue 5, pp.594-608, 2012.
98. C. M. Pun, An Ny, C. L. Philip Chen, “Region-based Image Segmentation by Watershed Partition and DCT Energy Compaction,” International Journal of Computational Intelligence Systems, pp. 55-66,Vol. 5, Issue 1, 2012.
99. Jingcheng Gao, Yang Xiao, Jing Liua, Wei Liang, and C. L. Philip Chen, “A Survey of Communication/Networking in Smart Grids,” International Journal of Future Generation Computer Systems (Impact Factor of this journal is 2.229 in 2010), Vol. 28, Issue 2, 2012, pp. 391-404.
100. A. Olteanu, Y. Xiao , J. Liu, T. M. Chen, and C. L. P. Chen, “Non-intrusive Tracing in the Internet,” (Wiley Journal of) Security and Communication Networks, 10.1002/sec.616,2012.
101. X. J. Lu, H.X. Li, and C. L. P. Chen, “Model Based Probabilistic Robust Design with Data-Based Uncertainty Compensation for Partially Unknown System,”ASME Trans. Journal of Mechanical Design, Vol. 134, issue 2, 021004-1, 2012.
102. R. Wang, Y.J. Liu, S. Tong, and C. L. P. Chen, “Output feedback stabilization based on dynamic surface control for a class of uncertain stochastic nonlinear systems”, Nonlinear Dynamics, Vol. 67, Issue 1, pp. 683-694, Jan 2012.
103. Dong Yue, Jia Meng, MingZhu Lu, C. L. Philip Chen, Maozu Guo, and Yufei Huang,“Understanding microRNA Regulation,” IEEE Signal Processing Magazine, Vol. 29, Issue 1, pp. 77-88, 2012.
104. Zhi Liu, Qihang Wu, Yun Zhang, Yaonan Wang, C. L. Philip Chen, “Adaptive Fuzzy Wavelet Neural Network Filter for Hand Tremor Canceling in Microsurgery,”Applied Soft Computing, Vol. 11, Issue 8, pp. 5315-5329, Dec. 2011.
105. L. Chen, C. L. Philip Chen, and M. Lu, “A Multiple-Kernel Fuzzy C-means Algorithm for Image Segmentation,” IEEE Trans. on Systems, Man, and Cybernetics,Part B, Vol. 41, No. 5, pp. 1263-1274, 2011.
106. Yan-Jun Liu, Shaocheng Tong, Dan Wang, Tieshan Li, and C. L. Philip Chen,“Adaptive Neural Output Feedback Design with Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems,” IEEE Transactions on Neural Networks,Vol. 22, No. 8, pp. 1328-1334, 2011.
107. Yan-Jun Liu, C. L. Philip Chen, and Guo-Xing Wen, “Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems,” IEEE Transactions on Neural Networks, Vol. 22, No. 7, pp. 1162-1167, 2011.
108. G.X. Wen, Y.J. Liu, and C. L. P. Chen, “Adaptive Robust NN Control of Nonlinear Systems,” Lecture Notes in Computer Science, Volume 6676, LNCS, Issue PART 2, Pages 535-541, 2011.
109. Yan-Jun Liu, Rui Wang and C. L. Philip Chen, “Robust Adaptive Fuzzy Controller Design for a Class of Uncertain Nonlinear Time-Delay Systems,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Impact Factor is 1.147 in 2010), Vol. 19, No. 2, pp. 329-360, 2011. (SCI Indexing).
110. Zhi Liu, Wu Qihang, Yun Zhang, Yaonan Wang, C. L. Philip Chen, “Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery, International Journal of Machine Learning and Cybernetics,” Vol. 2, No. 1, pp. 37-47, 2011.
111. X. Zhou, Ping Guo, and C. L. Philip Chen, “Speed up Reliability Model Optimization with Hypervolume Contribution Calculating Algorithm,” Intelligent Automation and Soft Computing, Vol. 17, Issue. 5, pp. 619-629, 2011.
112. Lu X. J., H.X. Li, and C. L. P. Chen, “Variable Sensitivity Based Deterministic Robust Design for Nonlinear System,” ASME Trans. Journal of Mechanical Design, Vol. 132, issue 6, 064502, pp. 1-7, 2010.
113. Lu X. J., H.X. Li, and C. L. P. Chen,“Robust Optimal Design with Consideration of Robust Eigenvalue Assignment,” Industrial & Engineering Chemistry Research, Vol. 49, No. 7, pp. 3306–3315, 2010.
114. L. Chen, C. L. Philip Chen, and W. Pedrycz, “A Gradient-descent-based Approach for Transparent Linguistic Interface Generation in Fuzzy Models”, IEEE Trans. on Systems, Man, and Cybernetics, Part B, Vol. 40, No. 5, pp. 1219-1230, 2010.
12 著作
1. H.X. Li, C. L. Philip Chen, and Han-Pang. Huang, *Fuzzy Neural Intelligent Systems: Mathematical Foundation and Application to Engineering , CRC Press, 2000, ISBN 0-8493-2360-6.
13 专利
• S. R. LeClair, Y. H. Pao, T. E. Westhoven, H. N. Al-Kamhawi, C. L. Philip Chen, A. G. Jackson, A. C. Chemaly, “Inductive-Deductive Process Design for Machined Parts,” Air Force Invention number 21134, U.S. Patent number 5485390, Jan., 1996.
• Y. Cao, C. L. P. Chen, and S. R. LeClair, “Orthogonal Functional Basis Method for Function Approximation,” U.S. Patent number 6463361, Sept., 2002; Air Force Invention No. D00211, June, 1999.

 

北京交通大学-信息管理理论与技术国际研究中心 技术支持:瑞森教育