Jun Wang

Professor  Room 209, William M. W. Mong Engineering Building Department of Mechanical and Automation Engineering Faculty of Engineering The Chinese University of Hong Kong Shatin, New Territories, Hong Kong Tel:  (852) 26098472  Fax: (852) 26036002  jwang mae.cuhk.edu.hk

EXPERIENCE

• Professor, The Chinese University of Hong Kong, Hong Kong, 2002 to present.
• Associate Professor, The Chinese University of Hong Kong, Hong Kong, 1995 to 2001.
• Associate Professor,  University of North Dakota, Grand Forks, North Dakota, USA, 1993-1997.
• Assistant Professor, University of North Dakota, Grand Forks, North Dakota, 1990-1993.
• CAD Programer (part-time), Zagar, Inc., Cleveland, Ohio, 1989-1990.
• Teaching/Research Assistant (part-time), Case Western Reserve University, Cleveland, Ohio, 1986-1989.
• Instructor, Dalian Institute of Technology (renamed to Dalian University of Technology in 1988), Dalian, Liaoning, China, 1985-1986.

EDUCATION

• B.S. in Electrical Engineering,  1982, Dalian Institute of Technology (renamed to Dalian University of Technology in 1988)
• M.S. in Systems Engineering,  1985, Dalian Institute of Technology (renamed to Dalian University of Technology in 1988)
• Ph.D. in Systems Engineering, 1991, Case Western Reserve University

  RESEARCH INTERESTS

• Neural networks
• Computational intelligence
• Intelligent control
• Intelligent robotics
• Intelligent manufacturing
• Operations research

  MAJOR GRANTS

• General Research Fund: “Analysis and design of model predictive control based on recurrent neural networks” funded by the Hong Kong Research Grants Council, 2009-2012.
• General Research Fund: “Analysis and design of associative memories based on recurrent neural networks” funded by the Hong Kong Research Grants Council, 2008-2010.
• Earmarked Grant: “Sequential blind source extraction from instantaneous and convolutive mixtures for ill-conditioned mixing channels” funded by the Hong Kong Research Grants Council, 2004-2006.
• Earmarked Grant: “Analysis and design of recurrent neural networks for dynamic optimization subject to nonlinear constraints and their engineering applications” funded by the Hong Kong Research Grants Council, 2003-2006.
• Earmarked Grant: “Recurrent neural networks for real-time grasping force optimization of dexterous manipulations using multi-fingered robotic hands” funded by the Hong Kong Research Grants Council,  2000-2003.
• Earmarked Grant: “Multilayer recurrent neural networks for real-time optimization and their applications to optimal control of kinematically redundant manipulators” funded by the Hong Kong Research Grants Council,  1998-2001.
• Earmarked Grant: “Multilayer recurrent neural networks for synthesizing and optimizing robust linear and nonlinear control systems” funded by the Hong Kong Research Council,  1997-2000.
• Earmarked Grant: “Recurrent neural network for solving combinatorial optimization with time-varying parameters and their applications for en-route vehicle guidance in intelligent transportation systems” funded by the Hong Kong Research Grants Council,  1996-1999.

SELECTED PUBLICATIONS (among over 140 journal papers, 12 book chapters, and 8 edited books with over 2000 SCI citations)  

1. T. Mei, F. Yin, and J. Wang, “Blind source separation based on cumulants with time and frequency non-properties"  IEEE Transactions on Audio, Speech, and Language Processing, vol. 17, no. 6, pp. 1099-1108, 2009.  
2. Y. Shen and J. Wang, “Almost sure exponential stability of recurrent neural networks with Markovian switching,” IEEE Transactions on Neural Networks, vol. 20, no. 5, pp. 840-855, 2009.
3. X. Hu and J. Wang, “An improved dual neural network for solving a class of quadratic programming problems and its k-winners-take-all application,” IEEE Transactions on Neural Networks, vol. 19, no. 12, pp. 2022-2031, 2008.  
4. Z. Zeng and J. Wang, “Analysis and design of high-capacity associative memories based on class of discrete-time recurrent neural networks,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 38, no. 6, pp. 1525-1536, 2008.
5. W. Lu and J. Wang, “Convergence analysis of a class of nonsmooth gradient systems,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 55, no. 11, pp. 3514-3527, 2008.
6. Y. Xia, G. Feng, and J. Wang, “A novel neural network for solving nonlinear optimization problems with inequality constraints,” IEEE Transactions on Neural Networks, vol. 19, no. 8, pp. 1340-1353, 2008.
7. Q. Liu, and J. Wang, “A one-layer recurrent neural network with a discontinuous activation function for linear programming,” Neural Computation, vol. 20, no. 5, pp. 1366-1383, 2008.
8. Q. Liu and J. Wang, “A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming,” IEEE Transactions on Neural Networks, vol. 19, no. 4, pp. 558-570, 2008.
9. Q. Liu and J. Wang, “Two k-winners-take-all networks with discontinuous activation functions,” Neural Networks, vol. 21, no. 2-3,  pp. 406-413, 2008. 
10. Y. Shen and J. Wang, “An improved algebraic criterion for global exponential stability of recurrent neural networks with time-varying delays,” IEEE Transactions on Neural Networks, vol. 19, no. 3, pp. 528-531, 2008.
11. B. Chen and J. Wang, “Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays,” Neural Networks, vol. 20, no. 10, pp. 1067-1080, 2007.
12. Y. Shen and J. Wang, “Noise-induced Stabilization of the recurrent neural networks with mixed time-varying delays and Markovian-switching parameters,” EEE Transactions on Neural Networks, vol. 18, no. 6, pp. 1857-1862, 2007.
13. X. Hu and J. Wang, “Solving generally constrained generalized linear variational inequalities using the general projection neural networks,” IEEE Transactions on Neural Networks, vol. 18, no. 6, pp. 1697-1708, 2007.  
14. X. Hu and J. Wang, “Design of general projection neural network for solving  monotone linear variational inequalities and linear and quadratic optimization problems,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 37, no. 5, pp.1414-1421, 2007.
15.  W. Yu, J. Cao, and J. Wang, “An LMI approach to delayed global asymptotic stability of the Cohen-Grossberg neural networks via nonsmooth analysis,” Neural Networks, vol. 20, no. 7, pp. 810-818, 2007.
16. Z. Zeng and J. Wang, “Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays,” Neural Computation, vol. 19, no. 8, pp. 2149-2182, 2007.
17. X. Hu and J. Wang, “A recurrent neural network for solving a class of general variational inequalities,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 37, no. 3, pp. 528-539, 2007.
18. Z. Zeng and J. Wang, “Global exponential stability of recurrent neural networks in the presence of strong external stimuli," Neural Networks, vol. 19, no. 10, pp. 1528-1537, 2006. 
19. S. Liu and J. Wang, “A simplified dual neural network for quadratic programming with its KWTA application,” IEEE Transactions on Neural Networks, vol. 17, no. 6, pp. 1500-1510, 2006. 
20. X. Hu and J. Wang, “Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network,” IEEE Transactions on Neural Networks, vol. 17, no. 6, pp. 1487-1499, 2006.
21. Z. Zeng and J. Wang, “Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs,” IEEE Transactions on Neural Networks, vol. 17, no. 5, pp. 1141-1151, 2006.
22. Z. Zeng and J. Wang, “Improved conditions for global exponential stability of recurrent neural networks with time-varying delays,” IEEE Transactions on Neural Networks, vol. 17, no. 3, pp. 623-635, 2006.
23. Z. Zeng and J. Wang, “Complete stability of cellular neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 53, no. 4, pp. 944-955, 2006.
24.  Z. Zeng and J. Wang, “Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks,” Neural Computation, vol. 18, no. 4, pp. 848-870, 2006.
25. S. Hu and J. Wang, “Global robust stability of a class of discrete-time interval neural networks," IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 53, no. 1, pp. 129- 138, 2006.
26. Y. Li and J. Wang, “A network model for blind source extraction in various ill-conditioned cases," Neural Networks, vol. 18, no. 10, pp. 1348-1356, 2005.
27.   B. Chen and J. Wang, “Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays,” IEEE Transactions on Neural Networks, vol. 16, no. 6, pp. 1440-1448, 2005.
28. X. Liao, J. Wang, and Z. Zeng, “Global asymptotic stability and global exponential stability of delayed cellular neural networks,” IEEE Transactions on Circuits and Systems - Part II Express Briefs, vol. 52, no. 7, pp. 403-409, 2005.
29.  J. Cao and J. Wang, “Global exponential stability and periodicity of recurrent neural networks with time delays,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 52, no. 5, pp. 920-931, 2005.
30. Z. Zeng, J. Wang, and X. Liao, “Global exponential stability of a general class of recurrent neural networks with unbounded time-varying delays,” IEEE Transactions on Circuits and Systems - Part II Express Briefs, vol. 52, no. 3, pp. 168-173, 2005.
31. Y. Xia and J. Wang, “Recurrent neural networks for solving nonlinear convex programs with linear constraints,” IEEE Transactions on Neural Networks, vol. 16, no 2, pp. 379-386, 2005.
32. J. Cao and J. Wang, “Global asymptotic and robust stability of recurrent neural networks with time delays,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 52, no. 2, pp. 417-426, 2005.
    
33.  Y. Xia, G. Feng, and J. Wang, “A primal-dual  neural  network for on-line resolving constrained  kinematic redundancy in robot motion control,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 35, no. 1, pp. 54-64, 2005.
34.  Z. Zeng, J. Wang, and X. Liao, “Stability analysis of delayed cellular neural networks described using cloning templates,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 51, no. 11, pp. 2313-2324, 2004.
35. Y. Xia, G. Feng, and J. Wang,  “A recurrent neural network with exponential convergence for solving convex quadratic program and linear piecewise equations,” Neural Networks, vol. 17, no. 7, pp. 1003-1015, 2004.
36. Y. Li, J. Wang, and A. Cichocki, “Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 51, no. 9, pp. 1814-1822, 2004.
37. Y. Xia and J. Wang, “A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints,” IEEE Transactions on Circuits and Systems - Part I: Regular Papers, vol. 51, no. 7, pp. 1385-1394, 2004.
38. Y. Xia, J. Wang, and L.-M. Fok, “Grasping force optimization of multi-fingered robotic hands using a recurrent neural network,” IEEE Transactions on Robotics and Automation, vol. 20, no. 3, pp. 549-554, 2004.
39. L. Tian, J. Wang, and Z. Mao, “Constrained motion control of flexible robot manipulators based on recurrent neural networks,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 34, no. 3, pp. 1541-1552, 2004.
40. D. Liu, S. Hu, and J. Wang, “Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds,” IEEE Transactions on Circuits and Systems - Part II Express Briefs, vol. 51, pp. 161-167, 2004.
41. Y. Xia and J. Wang, “A one-layer recurrent neural network for support vector machine learning,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 34, no. 2, pp. 1261-1269, 2004.
42. J. Cao and J. Wang, “Absolute exponential stability of recurrent neural networks with time delays and Lipschitz-continuous activation functions,” Neural Networks, vol. 17, no. 3, pp. 379-390, 2004.
43. Y. Tan and J. Wang, “A support vector machine with a hybrid kernel and minimal Vapnik-Chervonenkis dimension,” IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 4, pp. 385-395,  2004.
44. Y. Xia and J. Wang, “A general projection neural network for solving optimization and related problems,”  IEEE Transactions on Neural Networks, vol. 15, pp. 318-328, 2004.
45. Y. Zhang and J. Wang, “Obstacle avoidance for kinematically redundant manipulators using a dual neural network,” IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 34, no. 1, pp. 752-759, 2004.
46. X. Zhu, H. Ding, and J. Wang, “Grasp analysis and synthesis based on a new quantitative measure,” IEEE Transactions on Robotics and Automation, vol. 19, no. 6, pp. 942-953, 2003.
47. S. Hu and J. Wang, “Multilayer recurrent neural networks for on-line robust pole assignment,” IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 50, no. 11, pp. 1488-1496, 2003.
48. Z. Zeng, J. Wang, and X. Liao, “Global exponential stability of a general class of recurrent neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 50, no. 10, pp. 1353-1358, 2003.
49. J. Wang, “Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm,” Automatica, vol. 39, no. 9, pp. 1607-1615,  2003.
50. Y. Zhu and J. Wang, “Synthesis of force-closure grasps on 3-D objects based on the Q-distance,” IEEE Transactions on Robotics and Automation, vol. 19, no. 4, pp. 669-679, 2003.
51. X. Liao and J. Wang, “Global dissipativity of continuous-time recurrent neural networks with time delay,” Physical Review E, vol. 68, no. 1, pp. 016118.1-7, 2003.
52. Y. Zhang, J. Wang, and Y. Xia, "A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits," IEEE Transactions on Neural Networks, vol. 14, no. 3, pp. 658-667, 2003.
53. X. Liao and J. Wang, "Algebraic criteria for global exponential stability of cellular neural networks with multiple time delays,"  IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 50, no. 2, pp. 268-275, 2003.
54. J. Cao and J. Wang, "Global asymptotic stability of a general class of recurrent neural networks with time-varying delays,"  IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 50, no. 1, pp. 34-44, 2003.
55. S. Hu and J. Wang, "Absolute exponential stability of a class of continuous-time recurrent neural networks," IEEE Transactions on Neural Networks, vol. 14, no. 1, pp. 35-45, 2003.
56. Y. Zhang, J. Wang, and Y. Xu, "A dual neural network for bi-criteria kinematic control redundant manipulators," IEEE Transactions on Robotics and Automation, vol. 18, no. 6, pp. 923-931, 2002.
57. Z. He, Y. Zhang, C. Wei, and J. Wang, "A multi-stage self-organizing algorithm combined transiently chaotic neural network for cellular channel assignment," IEEE Transactions on Vehicular Technology, vol. 51, no. 6, pp. 1386-1396,  2002.
58. S. Hu and J. Wang, "A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems," Automatica, vol.. 38, no. 11, pp. 1959-1968, 2002.
59. Y. Zhang and J. Wang, "A dual neural network for constrained torque optimization of kinematically redundant manipulators," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 32, no. 5, pp. 654-662,  2002.
60. Y. Zhang, D. Jiang, and J. Wang, "A recurrent neural network for solving Sylvester equation with time-varying coefficients," IEEE Transactions on Neural Networks, vol. 13, no. 5, pp. 1053-1063, 2002.
61. S. Hu and J. Wang, "Global stability of a class of continuous-time recurrent neural networks," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 49, no. 9, pp. 1334-1347,  2002.
62. S. Hu and J. Wang, "Global stability of a class of discrete-time recurrent neural networks," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 49, no. 8, pp. 1104-1117, 2002.
63. M. Xiong, J. Wang, and P. Wang, "Differential-algebraic approach to linear programming," Journal of Optimization Theory and Applications, vol. 114, no. 2, pp. 443-470, 2002.
64. Y. Li and J. Wang,  "Sequential blind extraction of instantaneously mixed sources," IEEE Transactions on Signal Processing, vol. 50, no. 5,  pp. 997-1006, 2002.
65. S. Hu and J. Wang, "Global asymptotic stability and global exponential stability of continuous-time recurrent neural networks," IEEE Transactions on Automatic Control, vol. 46, no. 5, pp. 802-807, 2002.
66. Y. Zhang and J. Wang,  "Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment," IEEE Transactions on Neural Networks, vol. 13, no. 3, pp. 633-644, 2002.
67. Y. Xia, H. Leung, and J. Wang, "A projection neural network and its application to contained optimization problems," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 49, no. 4, pp. 447-458, 2002.
68. S. Hu and J. Wang, "Global exponential stability of continuous-time interval neural networks," Physical Review E, vol. 65, no. 3, pp.036133.1-036133.9, 2002.
69. D. Jiang and J. Wang,  "Augmented gradient flows for on-line robust pole assignment via state and output feedback," Automatica, vol. 38, no. 2, pp. 279-286, 2002.
70. Y. Tan and J. Wang, "Nonlinear blind source separation using higher-order statistics and a genetic algorithm," IEEE Transactions on Evolutionary Computation, vol. 5, no. 6, pp. 600-612, 2001.
71. X. Liang and J. Wang, "An additive diagonal stability condition for absolute exponential stability of a general class of neural networks," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 48, no. 11, pp. 1308-1317, 2001.
72. Y. Zhang and J. Wang, "Recurrent neural networks for nonlinear output regulation," Automatica, vol. 37, no. 8, pp. 1161-1173, 2001.
73. Y. Xia and J. Wang, "Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights," IEEE Transactions on Automatic Control, vol. 46, no. 4, pp. 635-638, 2001.
74. W. S. Tang and J. Wang, "A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architectural complexity," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 31, no. 1, pp. 98-105, 2001.
75. Y. Xia and J. Wang, "A dual neural network for kinematic control of redundant robot manipulators," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 31, no. 1, pp. 147-154, 2001.
76. Y. Tan, J. Wang, and J. M. Zurada, "Nonlinear blind source separation using a radial basis function network," IEEE Transactions on Neural Networks, vol.  12, no. 1, pp. 124-134, 2001.
77. S. Hu and J. Wang, "Quadratic stabilizability of a new class of linear systems with structural independent time-varying uncertainties," Automatica, vol. 37, no. 1, pp. 51-59, 2001
78. S. Hu and J. Wang, "On stabilization of a new class of linear time-invariant interval systems via constant state feedback control," IEEE Transactions on Automatic Control, vol. 45, no. 11, pp. 2106-2111, 2000.
79. Y. Xia and J. Wang, "A discrete-time recurrent neural network for shortest-path routing," IEEE Transactions on Automatic Control, vol. 45, no. 11, pp.2129-2135, 2000.
80. X. Liang and J. Wang, "A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints," IEEE Transactions on Neural Networks, vol. 11, no. 6, pp. 1251-1262, 2000.
81. D. Jiang and J. Wang,  "On-line learning of dynamic systems in the presence of model mismatch and disturbance," IEEE Transactions on Neural Networks, vol. 11, no., 6, pp. 1272-1283, 2000.
82. Y. Li, J. Wang, and J. M. Zurada, "Blind extraction of singularly mixed source signals," IEEE Transactions on Neural Networks, vol.  11, no., 6, pp. 1413-1422, 2000.
83. X. Li, S. K. Tso, and J. Wang, "Real-time tool condition monitoring using wavelet transform and fuzzy techniques," IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews, vol. 31, no. 3, pp. 352-357, 2000.
84. X. Liang and J. Wang, "Absolute exponential stability of neural networks with a general class of activation functions," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 47, no. 8., pp. 1258-1263, 2000.
85. Y. Xia and J. Wang, "Global exponential stability of recurrent neural networks for solving optimization and related problems," IEEE Transactions on Neural Networks, vol. 11, no. 4,  pp. 1017-1022,  2000.
86. Y. Xia and J. Wang, "On the stability of globally projected dynamical systems," Journal of Optimization Theory and Applications, vol. 106, no. 1, pp. 129-150,  2000.
87. D. Jiang and J. Wang,  "A recurrent neural network for on-line design of robust optimal filters," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 47, no. 6, pp. 921-926,  2000.
88. Y. Xia and J. Wang,, "A recurrent neural network for solving linear projection equations," Neural Networks, vol. 13, no. 3, pp.337-350, 2000.
89. X. Liang and J. Wang,, "A proof of Kaszkurwicz and Bhara's conjecture on absolute stability of neural networks in two-neuron case," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 47, no. 4, pp. 609-611, 2000.
90. W. S. Tang and J. Wang, "Two recurrent neural networks for joint torque optimization of kinematically redundant manipulators," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, vol. 30, no. 1, pp. 120-128, 2000.
91. J. Wang, Q. Hu, and D. Jiang, "A  Lagrangian network for kinematic control of redundant robot manipulators," IEEE Transactions on Neural Networks, vol. 10, no. 5, pp. 1123-1132, 1999.
92. H. Ding and J. Wang, "Recurrent neural networks for minimum infinity-norm kinematic control of redundant manipulators," IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 29, no. 3, pp. 269-276, 1999.
93. Y. Xia, J. Wang, and D. L. Hung, "Recurrent neural networks for solving linear inequalities and equations," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 46, no. 4, pp. 452-462, 1999.
94. J. Wang, "A linear assignment clustering algorithm based on the least similar cluster representatives," IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 29, no. 1, pp. 100-104, 1999.
95. D. Jiang and J. Wang, "A recurrent neural network for real-time semi-definite programming," IEEE Transactions on Neural Networks, vol. 10, no. 1, pp. 81-93, 1999.
96. Y. Xia and J. Wang, "A general methodology for designing globally convergent optimization neural networks," IEEE Transactions on Neural Networks, vol. 9, no. 6, pp. 1331-1343, 1998.
97. J. Wang, "Primal and dual neural networks for shortest-path routing," IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 28, no. 6, pp. 864-869, 1998.
98. J. Wang and G. Wu, "A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations," Neural Networks, vol. 11, no. 5, pp. 939-950, 1998.
99. J. Wang and Y. Xia, "Analysis and design of primal-dual assignment networks," IEEE Transactions on Neural Networks, vol. 9, no. 1, pp. 183-194, 1998.
100. J. Wang, "Recurrent neural networks for computing pseudoinverses of rank-deficient matrices," SIAM Journal on Scientific Computing, vol.18, no. 5, pp. 1479-1493, 1997.
101. J. Wang, "Primal and dual assignment networks," IEEE Transactions on Neural Networks, vol. 8, no. 3, pp. 784-790, 1997.
102. J. Wang and C. Roze, "Formation of machine cells and part families: a modified p-median formulation and a comparative study," International Journal of Production Research, vol. 35, no. 5, pp. 1269-1286, 1997.
103. J. Wang, "A recurrent neural network for solving the shortest path problem," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 43, no. 6, pp. 482-486, 1996.
104. J. Wang and G. Wu, "A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment," Automatica, vol. 32, no. 3, pp. 435-442, 1996.
105. J. Wang, "Analysis and design of an analog sorting network," IEEE Transactions on Neural Networks, vol. 5, no. 4, pp. 962-971, 1995.
106. J. Wang, "A deterministic annealing neural network for convex programming," Neural Networks, vol. 7, no. 4, pp. 629-641, 1994.
107. J. Wang, "Artificial neural networks versus natural neural networks: a connectionist paradigm for preference assessment," Decision Support Systems,  vol. 11, no. 5, pp. 415-429, 1994.
108. J. Wang, “Analog winner-take-all neural networks for determining maximum and minimum signals,” International Journal of Electronics, vol. 77, no. 3, pp. 355-367, 1994.
109. J. Wang and B. Malakooti, "Characterization of training errors in supervised learning using gradient-based learning rules," Neural Networks, vol. 6, no. 8, pp. 1073-1087, 1993.
110. J. Wang, "Analysis and design of a recurrent neural network for linear programming," IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 40, no. 9, pp. 613-618, 1993.

PROFESSIONAL SERVICES

• Associate Editor, IEEE Transactions on Neural Networks, 1999 to present.
• Associate Editor, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Bybernetics, 2003 to present.
• Associate Editor, IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and reviews, 2001-2005.
• Member of Editorial Advisory Board, International Journal of Neural Systems, 2006-present.
• Guest Co-editor, special issues in European Journal of Operational Research (vol. 93, no. 2, 1996), International Journal of Neural Systems (vol. 17, no. 6, 2007), and Neurocomputing (vol. 71, nos. 16-18., 2008).
• Various positions at numerous international conferences such as ISNN2004, ISNN2005, IROS2005, ISNN2006, WCCI2006, ICONIP2006, WCCI2008, and ISNN2010.
• Past President of the Asia Pacific Neural Network Assembly (APNNA).
  

INVITED LECTURES      

• State Key Laboratory of Software Engineering, Wuhan University, Wuhan, Hubei, December 2008.
• Department of Computer Science and Technology, Tsinghua University, Beijing, China, December 2008.
• Institute of Automation, Chinese Academy of Sciences, Beijing, China, December 2008.
• Institute of Information Sciences and Technology, Massey University, Wellington, New Zealand, December 2008.
• School of Science, China Three Gorges University, September 2008.
• School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, June 2008.
• School of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang, China, May 2008.
• College of Science and Engineering, Texas A&M University at Qatar, Doha, Qatar, December 2007.
• Singapore Institute of Manufacturing Technology, Singapore, September 2007.
• Honda Research Institute Europe, Frankfurt, Germany, July 2007.  
• Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany, July 2007.
• Institute of Signal Processing, University of Lübeck, Lübeck, Germany, July 2007.
• Department of Informatics, University of Hamburg, Hamburg, Germany, July and December 2007, August 2008.
• School of Electronics and Information Engineering, Zhongyuan University of Technology, Zhengzhou, Henan, China, July 2007.
• School of Electronics and Information Engineering, Peking University, Beijing, China, July 2007.
• School of Automation, Wuhan University of Technology, Wuhan, Hubei, China, June 2007.
• Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, June 2007 and June 2008.
• School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China, May 2007.
• School of Electrical and Information Engineering, Hunan University, Changsha, China, April 2007.
• School of Electrical and Computer Engineering, Pusan National University, Busan, South Korea, August 2006.
• School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China, August 2006.
• Faculty of Science and Technology, University of Macau, Macao, June 2006.
• School of Information Science and Engineering, Shandong University, Jinan, China, June 2006.
• School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China, March 2006.
• School of Electronic and Information Engineering, Hebei University, Baoding, Hebei, China, October 2005.
• Department of Mathematics, Yunnan University, Kunming, Yunnan, China, July 2005.
• School of Information Science and Engineering, Northeast University, Shenyang, Liaoning, China, June 2005.
• School of Mathematical Sciences, South China University of Technology, Guangzhou, Guangdong, China, May 2005.
•  Department of Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China, April 2005.
• School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, Sichuan, China, April 2005.
• Department of Mathematics, Southeast University, Nanjing, Jiangsu, China, October 2004.
• Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China, June 2004.
• School of Computer Science and Technology, Jilin University, Changchun, Jilin, China, June 2004 and January 2005.
• School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China, April 2004.
• School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China, December 2003.
• School of Computer Science and Engineering, Yantai University, Yantai, Shandong, China, November 2003.
• School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China, July 2003.
• Department of Automation, Southeast University, Nanjing, Jiangsu, June 2003.
• Institute of Robotics Research, Shanghai Jiaotong University, Shanghai, China, March 2003.
• Department of Radio Engineering, Southeast University, Nanjing, Jiangsu, China, March 2003.
• Institute of Automation, Chinese Academy of Sciences, Beijing, China, August 2002.
• Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, July 2002.
• Center for Automatic Control and Applied Mechanics, Universite catholique de Louvain, Belgium, June 2002.
• College of Automation, Chongqing University, Chongqing, China, June 2002.
• Institute of Systems and Information Sciences, Xi’an Jiaotong University, Xi’'an, Shaanxi, China, June 2002.
• Graduate School, Xidian University, Xi'an, Shaanxi, China, June 2002.
• College of Electrical Engineering and Information Technology, China Three Gorges University, Yichang, Hubei, China, May 2002.
• College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China, March 2002.
• College of Computer Science, Southwest China Normal University, Chongqing, China, March 2002.
• College of Electronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China, March 2002.
• College of Computer Science and Engineering, Chongqing University, Chongqing, China, March 2002.
• National Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing China, March 2002.
• Faculty of Electrical Engineering, Budapest University of Technology and Economics, Budapest, Hungary, August 2001.
• Department of Automation, Shanghai Jiaotong University,  Shanghai, China, June 2001.
• Department of Automation, Nankai University, Tianjin, China, June 2001.
• Department of Automation, Xiamen University, Xiamen, Fujian, China, April 2001.
• Department of Automation, University of Science and Technology of China, Hefei, Anhui, China, April 2001 and March 2003.
• Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China, April 2001.
• Department of Mechanical Engineering, Yantai University, Yantai, Shandong, China, September 2000.
• School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, China, June 2000.
• Department of Technical Computer Science, University of Bielefeld, Bielefeld, Germany, May 2000.
• Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Hong Kong, April 1999.
• Department of Automation Engineering, South China University of Technology, Guangzhou, Guangdong, China, October 1998.
• Institute of Systems Science, Chinese Academy of Sciences, Beijing, China, May 1997.
• Robotics Institute, Harbin Institute of Technology, Harbin, Heilongjiang, China, May 1997.
• Frontier Research Program, the Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan, July 1996.
• Department of Electronic Engineering, Hong Kong Polytechnic University, Hong Kong, May 1995.
• Michael G. DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada, October 1993.
• Dalian University of Technology, Dalian, Liaoning, China, August 1993.
• Motorola IVHS Division, Northbrook, Illinois, USA, January 1993.
• Department of Computer Science, University of North Dakota, Grand Forks, ND, USA, March 1991.

DISTINCTIONS

• IEEE Fellow, since 2007.
• Changjiang Chair Professorship (Shanghai Jiao Tong University), Sponsored by the Ministry of Education and Li Ka Shing Foundation, 2008-2011.
• Research Excellence Award, The Chinese University of Hong Kong, 2008-2009.

Computational Intelligence Lab

 
 

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