C. L. Philip CHEN  陳俊龍
Chair Professor
Dean of Faculty of Science and Technology
IEEE Fellow, AAAS Fellow, CAA Fellow, HKIE Fellow, IASCYS Academician
Sr. Past President, IEEE Systems, Man, and Cybernetics Society (2016-2017), http://www.ieeesmc.org/about-smcs/governance
Editor-in-Chief, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014 - , http://www.ieeesmc.org/publications/transactions-on-smc-systems

Academic Qualifications | Related Working Experience | Other Academic Experience | Teaching | Honors in ISI Web of Knowledge | Research | Professional Affiliations | Academic Activities | Awards & Titles Received | Selected Journal Publicaions | Conference Proceedings | Contact Details

Short Biography

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)


Academic Qualifications

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, 1979


Related Working Experience

2010-Chair Professor and Dean, Faculty of Science of Tech., University of Macau
2005-2009Associate Dean, Interim Chair, Chair, U of Texas-San Antonio, Texas
2002-2010Professor, Department of Electrical Engineering, U of Texas-San Antonio, Texas
1989-2002Professor (1999), Associate Prof (1995), Assistant Prof, Department of Computer Science and Engineering, Wright State University, Dayton, Ohio
1988-1989Visiting Assistant Prof, Purdue University--Indianapolis, IN


Other Academic Experience

2011-   Obuda University, Budapest, Hungary, (visiting) Honorary Professor
2010-   Dalian University of Tech., China, (visiting) HaiTien Honorary Prof
2014, 2015,
2016-
 

Beijing Jiaotong University, China, (visiting) Chair Professor
Dalian Maritime University, China, (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


Teaching

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

Honors in ISI Web of Knowledge

Twelve 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 May 2006 to May 2016 (10-year window frame) at the same time. These are:


Research

Research Interests

Recent Research Projects


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 Ė Systems Science and Eng., Treasurer, Board member, ExCom member
2007Fellow, IEEE.
2009Fellow, AAAS (American Association for the Advancement of Science, www.aaas.org)
2014 Fellow, Chinese Association of Automation (中國自動化學會)


Academic Activities

(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)
2011President 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.
2009General Chair, IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texas, USA.
2008General Co-Chair, IEEE Int'l Conference on Secure Systems Integration and Reliability Improvement (SSIRI 2008), Yokohama, Japan.
2008-2010IEEE 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
2005-2006Program/Organizing Committee of IEEE Intíl 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.
1998-2003Program/Organizing Committee of IEEE/RSJ Int'l Conf. on Intellg. Robots & Systems.
1991-2003Technical Committee of Int'l Conference on Artificial Neural Networks in Engineering
1995-1996Conference Co-Chair of Int'l Conference on Artificial Neural Networks in Engineering.


Awards & Titles Received
Selected Journal Publications since 2010
  1. C.L.P. Chen, D.C. Tao, X.G. You, “Big learning in social media analytics,” Neurocomputing, Volume: 204, SI, Pages: 1-2, Sep 5 2016.
  2. Long Chen, Licheng Liu, and C. L. Philip Chen, “A robust bi-sparsity model with non-local regularization for mixed noise reduction” Information Sciences, Volume: 354, pp. 101-111, Aug, 2016.
  3. C. Y. Zhang, C. L. P. Chen, D. W. Chen, and K. T. Ng, “MapReduce based distributed learning algorithm for Restricted Boltzmann Machine,” Neurocomputing, Volume: 198, Special Issue: SI,  pp. 4-11, July 19 2016.
  4. J. Zhou, L. Chen, C.L.P. Chen and H.X. Li, “Fuzzy clustering with the entropy of attribute weights,” Volume: 198, Special Issue: SI, pp. 125-134, July 19 2016.
  5. C. L. P. Chen, G.X. Wen, Y. J. Liu, and Z. Liu, “Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems,” IEEE Trans. on Cybernetics Vol. 46, Issue 7, pp. 1591-1601, July 2016.
  6. Y. J. Liu, J. Li, S. C. Tong, and C. L. P. Chen, “Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints,” IEEE Trans. on Neural Networks and Learning Systems, Vol. 27, Issue 7, pp. 1562-1571, July 2016.
  7. F. J. Wang, Z. Liu, Y. Zhang, and C. L. P. Chen, “Adaptive robust image-based visual servoing control of robot with unknown actuator hysteresis,” Nonlinear Dynamics, Vol. 85, Issue 1, pp. 547-561, July 2016.
  8. Min Gan, C. L. Philip Chen, Long Chen, and Chunyang Zhang, “Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series,” International Journal of System Science, Vol. 47, Issue 8, pp. 1868-1876, June, 2016.
  9. Guanyu Lai, Zhi Liu, Yun Zhang, and C. L. P. Chen, “Adaptive Fuzzy Tracking Control of Nonlinear Systems With Asymmetric Actuator Backlash Based on a New Smooth Inverse”, IEEE Transactions on Cybernetics, Volume: 46, Issue: 6, pp. 1250-1262, Jun, 2016.
  10. Xiao-Feng Wang, Hai Min, Le Zou, Y.Y. Tang, and C.L.P. Chen, “An efficient level set method based on multi-scale image segmentation and Hermite differential operator,” Neurocomputing, Volume: 188, Special Issue: SI, pp. 90-101, May, 2016.
  11. J. X. Du, M.W. Shao, C. M. Zhai, J. Wang, Y.Y. Tang, C.L.P. Chen, “Recognition of leaf image set based on manifold-manifold distance,” Neurocomputing, Volume: 188, Special Issue: SI, Pages: 131-138, Published: May 5, 2016.
  12. H. Ge, Y.F. Wang, S.H. Li, C.L.P. Chen, and Y. Guo, “A cooperative framework of learning automata and its application in tutorial-like system,” Neurocomputing, Volume: 188, Special Issue: SI, Pages: 311-318, May 5, 2016.
  13. W. Jiang, B. Li, S. H. Li, Y. Y. Tang, and C. L. P. Chen, “A new prospective for Learning Automata: A machine learning approach,” Neurocomputing, Vol. 188, SI, pp. 319-325, May 5, 2016.
  14. T. P. Zhang, R.F. Ren, Y. Gao, Y. L. Zheng, Y. Y. Tang, and C. L. P. Chen, “Learning Proximity Relations for Feature Selection,” IEEE Transactions on Knowledge and Data Engineering, Vol. 28, Issue: 5, pp. 1231-1244, 2016.
  15. Ci Chen, Z. Liu, Y. Zhang, C. L. P. Chen “Modeling and Adaptive Compensation of Unknown Multiple Frequency Vibrations for the Stabilization and Control of an Active Isolation System,” IEEE Transactions on Control Technology, Volume: 24, Issue: 3, pp. 900-911, Published: May, 2016.
  16. Y. Zhang, S. Q. Xu, K.R. Chen, Z. Liu, and C. L. P. Chen, “Fuzzy density weight-based support vector regression for image Denoising,” Information Sciences, Vol. 339, pp. 175-188, April 20, 2016.
  17. F. Wang, Z. Liu, Y. Zhang, and C.L.P. Chen,”Adaptive Quantized Controller Design Via Backstepping and Stochastic Small-Gain Approach,” IEEE Trans. Fuzzy Systems, Vol. 24, No. 2, pp. 330-343, April. 2016.
  18. Pengyue Zhang, Xinge You, Weihua Ou, C. L. Philip Chen, and Yiu-ming Cheung, “Sparse discriminative multi-manifold embedding for one-sample face recognition,” Pattern Recognition, Vol. 52, pp. 249-259, April, 2016.
  19. G.Y. Lai, Z. Liu, Y. Zhang, and C.L.P. Chen, “Quantisation-based robust control of uncertain non-strict-feedback non-linear systems under arbitrary switching,” IET Control Theory and Applications, Vol. 10, No. 5, pp. 582-589, March, 2016.
  20. J.H. Wang, Y. Zhou, Y. Wang, J, Zhang, C. L. P. Chen, and Z.B. Zheng, “Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms,” IEEE Trans. on Cybernetics, Volume: 46, Issue: 3, pp. 582-594, MAR 2016.
  21. C. Chen, Z. Liu, Y. Zhang, C.L.P. Chen, and S. L. Xie, “Actuator Backlash Compensation and Accurate Parameter Estimation for Active Vibration Isolation System,” IEEE Trans. on Industrial Electronics, Volume: 63, Issue: 3, Pages: 1643-1654, MAR 2016.
  22. Yiping Jiang, C. L. Philip Chen, and Junwei Duan, “A new practice-driven approach to develop software in a cyber-physical system environment,” Enterprise Information Systems, Vol. 10, Issue 2, pp. 211-227, Feb, 2016.
  23. Z. Liu, F. Wang, Y. Zhang, and C.L.P. Chen, “Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems,” IEEE Trans. on Cybernetics, Vol. 46, Issue 2, Special Issue: SI, pp. 524-534, FEB 2016.
  24. F. Wang, Z. Liu, Y. Zhang, C.L.P. Chen, “Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Hysteresis,” IEEE Trans. Fuzzy Systems, Vol. 24, No. 1, pp. 140-152, Feb. 2016.
  25. Change Ren, Long Chen, C. L. Philip Chen, and Tao Du, “Quantized consensus control for second-order multi-agent systems with nonlinear dynamics,” Neurocomputing, Vol. 175, pp. 529-537, Jan. 2016.
  26. Zhi Liu, Liyang Wang, Yun Zhang, and C. L. Philip Chen, “A SVM controller for the stable walking of biped robots based on small sample sizes,” Applied Soft Computing, Vol. 38, pp. 738-753, Jan. 2016.
  27. Yanjun Liu, Shaocheng Tong, C. L. Philip Chen, and Dongjuan Li, “Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems with Unknown Hysteresis Inputs,” IEEE Trans. on Cybernetics, Vol. 46, Issue 1, pp. 9-19, Jan., 2016.
  28. Wai Kin Chan, C. L. Philip Chen, “Consensus Control with Failure-Wait or Abandon?” IEEE Trans. on Cybernetics, Vol. 46, Issue 1, pp. 75-84, Jan., 2016.
  29. Wei Yuan, Xinge You, Jing Xu, Henry Leung, Tianhang Zhang, and C. L. Philip Chen, “Multiobjective Optimization of Linear Cooperative Spectrum Sensing: Pareto Solutions and Refinement,” IEEE Trans. on Cybernetics, Vol. 46, Issue 1, pp. 96-108, Jan., 2016.
  30. Guanyun Lai, Zhi Liu, Yun Zhang, and C. L. Philip Chen, “Adaptive Position/Attitude Tracking Control of Aerial Robot With Unknown Inertial Matrix Based on a New Robust Neural Identifier,” IEEE Trans. on Neural Networks and Learning Systems, Vol. 27, Issue 1, pp. 18-31, Jan., 2016.
  31. Yanjun Liu, Ying Gao, Shaocheng Tong, and C. L. Philip Chen, “A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input,” IEEE Trans. on Neural Networks and Learning Systems, Vol. 27, Issue 1, pp. 139-150, Jan., 2016.
  32. Cheng Yong Zheng, Hong Li, Qiong Wang, C. L. Philip Chen, “Reweighted Sparse Regression for Hyperspectral Unmixing,” IEEE Trans. on Geoscience and Remote Sensing, Vol. 54, Issue19, pp. 479-488, Jan., 2016.
  33. Zhi Liu, Guanyu Lai, Yun Zhang, and C. L. Philip Chen, “Adaptive Fuzzy Tracking Control of Nonlinear Time-Delay Systems with Dead-Zone Output Mechanism Based on a Novel Smooth Model,” IEEE Transactions on Fuzzy Systems, Volume: 23, Issue: 6, Pages: 1998-2011, DEC 2015.
  34. C. L. Philip Chen, Chun-Yang Zhang, Long Chen, and Min Gan, “Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning,” IEEE Transactions on Fuzzy Systems, Volume: 23,    Issue: 6, Pages: 2163-2173, DEC 2015.
  35. Y. Y. Tang, Yulong Wang, Luoqing Li, and C. L. Philip Chen, “Structural Atomic Representation for Classification,” IEEE Transactions on Cybernetics, Volume: 45, Issue: 12, Pages: 2905-2913,    DEC 2015.
  36. Xinge You, Weihua Ou, C. L. Philip Chen, Qiang Li, Ziqi Zhu, and Y. Y. Tang, “Robust Nonegative Patch Alignment for Dimensionality Reduction,” IEEE Trans on Neural Networks and Learning Systems, Vol. 26, Issue 11, pp. 2760-2771, Nov, 2015.
  37. Jialu Du, Xin Hu, Hongbo Liu, and C. L. Philip Chen,  “Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer,” IEEE Transactions on Neural Networks and Learning Systems, Volume: 26, Issue: 11, Pages: 2775-2786, NOV 2015.
  38. 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.
  39. Xiaojie Su, Ligang Wu, Peng Shi, and C. L. Philip Chen, “Model Approximation for Fuzzy Switched Systems with Stochastic Perturbation,” IEEE Transactions on Fuzzy Systems, Volume: 23, Issue:  5,   Pages: 1458-1473, OCT 2015.
  40. Chun-Yang Zhang, C. L. Philip Chen, Min Gan, and L. Chen,  “Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting,” IEEE Transactions on Sustainable Energy, Volume: 6  Issue: 4, Pages: 1416-1425, OCT 2015
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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. 
  60. 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.
  61. 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
  62. 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.
  63. 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.
  64. 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 
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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.
  74. G. Huang, D. Akopian, and C. L. Philip Chen, “Network Delay Modeling for Assisted GPS,” IEEE Trans. On Aerospace and Electronic Systems, Vol. 51, Issue 1, pp. 52-64, Jan 2015.
  75. 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. 
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. 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.
  86. 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. 
  87. 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.
  88. 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.
  89. 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.
  90. 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. 
  91. 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.
  92. 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.
  93. 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.
  94. 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.
  95. Yicong Zhou, W. Cao, and C. L. Philip Chen, “Image Encryption using Binary Bitplane,” Signal Processing, Vol. 100, pp. 197-207, July, 2014.
  96. 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. 
  97. 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. 
  98. 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.
  99. 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.
  100. 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.
  101. 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. 
  102. 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.
  103. 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.
  104. 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.
  105. 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.
  106. 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.
  107. 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.
  108. 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.
  109. 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.
  110. 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.
  111. 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.
  112. 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.
  113. 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.
  114. 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.
  115. 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.
  116. 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.
  117. 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.
  118. 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.
  119. 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.
  120. 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. 
  121. 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.
  122. 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.
  123. 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.
  124. 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.
  125. 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.
  126. 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.
  127. 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.
  128. 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.
  129. 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.
  130. 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. 
  131. 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.
  132. 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.
  133. 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.
  134. 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.
  135. 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.
  136. 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.
  137. 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.
  138. 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.
  139. 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.
  140. 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.
  141. 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.
  142. 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.
  143. 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.
  144. 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.
  145. 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. 
  146. 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. 
  147. 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.
  148. 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).
  149. 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.
  150. 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.
  151. 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.
  152. 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.
  153. 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.
Book
  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.
Patents Conference Proceedings since 2010
  1. C. L. Philip Chen, Tong Zhang, SC Tam, “A novel evolutionary algorithm solving optimization problems,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 557-561San Diego, CA, Oct. 5-8,2104.
  2. Jin Zhou, C. L. Philip Chen, and L. Chen, “Maximum-entropy-based multiple kernel fuzzy c-means clustering algorithm,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1198-1203San Diego, CA, Oct. 5-8,2104.
  3. J. T. Peng, Y. C. Zhou, C. L. Philip Chen, “Multi-scale patch based box kernels for hyperspectral image classification,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3203-3208,San Diego, CA, Oct. 5-8,2104.
  4. B. Long, Y.C. Zhou, and C. L. Philip Chen, “A lossless (2, 8)-chaos-based secret image sharing scheme,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3209-3214San Diego, CA, Oct. 5-8,2104.
  5. Yi Shuang, Y. C. Zhou, C-M Pun, and C. L. Philip Chen, “A new reversible data hiding algorithm in the encryption domain,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3215-3220San Diego, CA, Oct. 5-8,2104.
  6. ZY Hua, Y.C. Zhou, C-M Pun, and C. L. Philip Chen, “Image encryption using 2D Logistic-Sine chaotic map,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3229-3234San Diego, CA, Oct. 5-8,2104.
  7. C-Y Zhang, C. L. Philip Chen, “An automatic setting for training restricted boltzmann machine,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 4037-4041San Diego, CA, Oct. 5-8,2104.
  8. Licheng Liu, C. L. Philip Chen,, Y.C. Zhou, and Y. Y. Tang, “Impulse noise removal using sparse representation with fuzzy weights,” Proceedings of 2014 IEEE International Conference on Systems, Man, and Cybernetics,pp. 4052-4057San Diego, CA, Oct. 5-8,2104.
  9. Lunbo Chen, YC Zhou, and C. L. P. Chen,  “Quaternion-based color difference measure for removing impulse noise in color images,” Proceedings of International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), pp. 123-127, Qingdao, China, Oct 9-10, 2014.
  10. J.W. Duan, L. Chen, and C. L. P. Chen, “ A new method based on wavelet and greedy pursuit analysis for neuro-spike detection , Proceedings of International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), pp. 74-78, Qingdao, China, Oct 9-10, 2014.
  11. S. Yi, YC Zhou, CM Pun, and CLP Chen, “A New Collage Steganographic Algorithm using Cartoon Design,”  DOI: 10.1117/12.2049056, in SPIE Conference on Mobile Devices and Multimedia - Enabling Technologies, Algorithms, and Applications, Feb 2014.
  12. ZY Hua, YC Zhou, CM Pun, and CLP Chen, DOI: 10.1117/12.2049055, A new 1D parameter-control chaotic framework, in SPIE Conference on Mobile Devices and Multimedia - Enabling Technologies, Algorithms, and Applications, Feb 2014.
  13. J. Zhou, L. Chen and C. L. Philip Chen, “Multi-attribute Decision Making for Data-centric Routing in a Wireless Sensor Network,” Proceedings of 2013 International Conference on Fuzzy Theory and Its Application, pp. 429-434, Dec. 6-8, 2013. (Best Paper)
  14. T. Zhang and C. L. Philip Chen, “A Horizon-Vertical Dimension Reduction Method for Classification of Cancer Cell Gene in a Fuzzy Neural Network,” Proceedings of 2013 International Conference on Fuzzy Theory and Its Application, pp. 49-54, Dec. 6-8, 2013.
  15. GX Wen and C. L. Philip Chen, “Adaptive Neural Leader-Following Consensus Control for a Class of Nonlinear Multi-agent Systems,” Proceedings of 2013 IEEE International Conference on Automatic Control, Dec 2-4, 2013. (Best Paper)
  16. B. Xu, P. Guo, and C.L.P. Chen, “Kernel Based Weighted Group Sparse Representation Classifier,” Proceedings of HCI (5), pp.236-245, 2013.
  17. J. Zhou, C. L. Philip Chen, and Long Chen, “A Small-scale Traffic Monitoring System in Urban Wireless Sensor Networks,” Proceedings of 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, pp. 4929-4934, UK, 2013.
  18. J. Zhou, Long Chen, and C. L. Philip Chen, “Shadowed C-Means for Image Segmentation using Local and Non-local Spatial Information,” Proceedings of 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3933-3938,Manchester, UK, 2013.
  19. GX Wen and C. L. Philip Chen, “Adaptive NN Consensus Control for a Class of Nonlinear Multi-agent Time-Delay Systems,” Proceedings of 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp. 4941-4946, Manchester, UK, 2013.
  20. Chang-E Ren and C. L. Philip Chen, “Decentralized Control for Second-order Uncertain Nonlinear Multi-agent Systems Consensus Problem Based on Fuzzy Adaptive High-gain Observer,” Proceedings of 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp. 4935-4940Manchester, UK, 2013.
  21. C. L. Philip Chen, J. Zhou, and W. Zhao, “Real-Time Decision Making for Urban Vehicle Navigation,” Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2533-2538, Seoul, Korea, 2012.
  22. Y. P. Jiang and C. L. Philip Chen, “A Novel Approach for Designing Intelligent Transportation System,” Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 632-636, Seoul, Korea, 2012.
  23. Weijial Cao, YC Zhou, and C. L. Philip Chen, “A New Image Encryption Algorithm Using Truncated P-Fibonacci Bit-planes,” Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1185-1188, Seoul, Korea, 2012.
  24. J. Wang, C. L. Philip Chen, and C.-H. Wang, “On the Conjugate Gradients (CG) Training Algorithm of Fuzzy Neural Networks (FNNs) via Its Equivalent Fully Connected Neural Networks (FFNNs),” Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2446-2451, Seoul, Korea, 2012. (Best Paper)
  25. C. L. Philip Chen, T. Zhang, and YC Zhou, “Image Encryption Algorithm Based on A New Combined Chaotic System,” Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2500-2504, Seoul, Korea, 2012.
  26. G-X Wen and C. L. Philip Chen, , “Distributed Consensus Control Using Neural Networkfor a Class of Nonlinear Multi-agent Systems,” Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2591-2595, Seoul, Korea, 2012.
  27. Y-P. Jiang and C. L. Philip Chen, “An Intelligent Guiding System Based on Wireless Sensor Network Technology”, Proceedings of 2012 IEEE International Conference of System Science and Engineering, pp. 126-130, Dalian, China, 2012.
  28. Jin Zhou, C. L. Philip Chen and Long Chen, “Parallel Attribute-Weighted Fuzzy C-Means Algorithm for Clustering”, Proceedings of 2012 IEEE International Conference of System Science and Engineering, pp. 96-101, Dalian, China, 2012. (Best paper)
  29. T. Zhang, C. L. Philip Chen, CH Wang, and SC Tam, “A New Dynamic Optimal Learning Rate for A Two-Layer Neural Network,” Proceedings of 2012 IEEE International Conference of System Science and Engineering, pp. 55-59, Dalian, China, 2012.
  30. J. Wang, C. L. Philip Chen, C.-H. Wang, “Finding the Near Optimal Learning Rates of Fuzzy Neural Networks (FNNs) via Its Equivalent Fully Connected Neural Networks (FFNNs),” Proceedings of 202 IEEE International Conference of System Science and Engineering, pp. 137-142, Dalian, China, 2012.
  31. J. Liu, Yang Xiao, and C. L. Philip Chen, “Authentication and Access Control in Internet of Things,” The 32nd International Conference on Distributed Computing Systems, pp. xxx-yyy, Macau, June 18-21, 2012.
  32. T. Zhang, Y. Zhou, C. L. Philip Chen, “A New Chaotic System for Image Encryption,” Proceedings of 2012 IEEE Computer Science and Automation Engineering (CSAE), pp. 331-335, May 25-27, Zhangjiajie, China, 2012.
  33. C. L. Philip Chen and J. Zhou, “Real-time Navigation of Vehicles in Intelligent Transportation Systems,” Proceedings of Chinese Automation Sciences, Beijing, Nov., 2011.
  34. YJ Liu, DJ Li, and C. L. Philip Chen, “Observer-Based Adaptive Control for a class of Nonlinear Chaotic Systems,” Proceedings of 2011 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2011-2014, Oct 10-12, 2011.Anchorage, AS.
  35. J. Wang, C-H Wang, and C. L. Philip Chen, “On the BP Training Algorithm of Fuzzy Neural Networks (FNNs) via Its Equivalent Fully Connected Neural Networks (FFNNs), Proceedings of 2011 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1376-1381, Oct 10-12, 2011, Anchorage, AS.
  36. Tong Zhang, Sik Chung Tam, Chi-Hsu Wang and C L Philip Chen, “On the classification of cancer cell gene via Expressive Value Distance (EVD) algorithm and its comparison to the optimally trained ANN method, “Proceedings of 2011 IEEE International Conference on Fuzzy Systems,” pp. 2199-2204, June 27-20, 2011, Taipei, Taiwan.
  37. Jing Wang, Chi-Hsu Wang and C. L. Philip Chen, “Finding the Capacity of Fuzzy Neural Networks (FNNs) via Its Equivalent Fully Connected Neural Networks (FFNNs),” Proceedings of 2011 IEEE International Conference on Fuzzy Systems, pp. 2193-2198, June 27-20, 2011, Taipei, Taiwan.
  38. Jin Zhou and C. L. Philip Chen, “Attribute Weight Entropy Regularization in Fuzzy C-Means Algorithm for Feature Selection,” Proceedings of 2011 IEEE International Conference of System Science and Engineering, pp. 59-64, Macau, China, 2011.
  39. David Akopian, Arsen Melkonyan, Sireesha Yalamanchili, and C. L. Philip Chen, “Integrity Monitoring and Mobile Implementation Aspects of WLAN Positioning,” Proceedings of 2011 IEEE International Conference of System Science and Engineering, pp. 688-693, Macau, China, 2011.
  40. Dong Yue, Hui Liu, Ming Zhu Lu, Philip Chen, Yidong Chen, Yufei Huang,  “A Bayesian Decision Fusion Approach for microRNA Target Prediction,” ACM-BCB 2010, Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, pp.214-221, Niagara Falls, NY, USA, 2010.
  41. L. Chen, M. Lu, and C. L. Philip Chen, “Multiple-Kernel Fuzzy C-means-based Image Segmentation,” Proceedings of 2010 IEEE International Conference on Systems, Man, and Cybernetics,pp. 4123-4129, Istanbul, Turkey.
  42. M. Lu, L. Chen, and C. L. Philip Chen, “Sensitivity Analysis of Parametric t-norm and s-norm-based Fuzzy Classification System,” Proceedings of 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 4101-4108, Istanbul, Turkey.
  43. X. Zhou, Ping Guo, and C. L. Philip Chen, “An Algorithm for Calculating the Hypervolume Contribution of a Set,” Proceedings of 2010 Conference of Dependable Computing (CDC 2010), Nov. 20-22, Yichang, China.

Contact Details

Faculty of Science and Technology
University of Macau, E11
Avenida da Universidade, Taipa,
Macau, China

Room: E11-4043a
Telephone: (853) 8822-4950
Fax: (853) 8822-2426
Email: philipchen
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