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Professor Chuangyin DANG

PhD-Cum Laude(Tilburg), MSc(Xidian), BSc(Shanxi)

Acting Head and Professor

Contact Information

Office: YEUNG-P6611
Phone: +(852)-3442-8429 / 3442-8466
Email: mecdang@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • Game Theory and Applications
  • Mathematical Optimization and Applications
  • Systems Modeling, Analysis and Optimization
  • Mathematical Modeling and Analysis in Economics and Finance
  • Mathematical Optimization in Pattern Recognition and Machine Learning

Prof. Chuangyin Dang received his PhD degree (Cum Laude) in Operations Research/Mathematical Economics from Tilburg University of the Netherlands in 1991, MSc degree in Applied Mathematics from Xidian University of China in 1986 and BSc degree in Computational Mathematics from Shanxi University of China in 1983. He is currently Professor of Systems Engineering and Engineering Management at City University of Hong Kong. Prior to this, Prof. Dang held faculty positions at the University of California at Davis, Delft University of Technology and Auckland University, and was research fellow at the Cowles Foundation for Research in Economics of Yale University. Prof. Dang's research focuses on systems modeling, analysis and optimization. He is best known for the developments of the D1-triangulation of the Euclidean space and simplicial and fixed-point iterative methods for integer programming. Due to his significant contributions, Prof. Dang received the award of outstanding research achievements of the year from Tilburg University of The Netherlands in 1990 and invited to give talks at such universities as Cornell University, Stanford University, the University of Michigan at Ann Arbor, the University of Minnesota at Minneapolis, and to work as Research Fellow at Yale University in 1994. Prof. Dang has published over 130 papers in journals including Mathematical Programming, Mathematics of Operations Research, SIAM Journal on Optimization, Computational Optimization and Applications, European Journal of Operational Research, IEEE Transactions on Automatic Control, IEEE Transactions on Computers, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence, Neural Computation, Neural Networks, and Pattern Recognition.

Awards and Honors

  1. Second-Prize Ministry Award for Progresses in Science and Technology, Ministry of Electronic Industries of China, China, 1993
  2. Outstanding Research Achievements Award of the Year (Cash Prize of Two Thousand Guilders), Tilburg University, The Netherlands, 1990

Ten Representative Publications since 2000

  1. J. Liang, F. Wang, C. Dang, and Y. Qian. A group incremental approach to feature selection applying rough set technique, IEEE Transactions on Knowledge and Data Engineering 26(2): 294-308, 2014.
  2. L. Bai, J. Liang, C. Dang and F. Cao. The impact of cluster representatives on the convergence of the K-modes type clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence 35(6): 1509-1522, 2013.
  3. Q. Liu, C. Dang and T. Huang. A one-layer recurrent neural network for real-time portfolio optimization with probability criterion, IEEE Transactions on Cybernetics 43(1): 14-23, 2013.
  4. Z. Zhu, C. Dang, and Y. Ye. A FPTAS for computing a symmetric Leontief competitive economy equilibrium, Mathematical Programming 131 (1-2): 113-129, 2012.
  5. C. Dang, Y. Ye, and Z. Zhu. An interior-point path-following algorithm for computing a Leontief economy equilibrium, Computational Optimization and Applications 50 (2): 213-236, 2011.
  6. X. Liu and C. Dang. Stability analysis of positive switched linear systems with delays, IEEE Transactions on Automatic Control 56 (7): 1684-1690, 2011.
  7. Y. Qian, J. Liang, W. Pedrycz, and C. Dang. Positive approximation: an accelerator for attribute reduction in rough set theory, Artificial Intelligence 174: 597-618, 2010.
  8. Q. Liu, C. Dang, and J. Cao. A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation, IEEE Transactions on Neural Networks 21: 1140-1148, 2010.
  9. Y. Wang and C. Dang. An evolutionary algorithm for global optimization based on level-set evolution and Latin squares, IEEE Transactions on Evolutionary Computation 11 (2007) 579-595.
  10. C. Dang and L. Xu. A Lagrange multiplier and Hopfield-type barrier function method for the traveling salesman problem, Neural Computation 14 (2002) 303-324.

Five Representative Publications beyond 2000

  1. C. Dang and H. van Maaren. A simplicial approach to the determination of an integer point of a simplex, Mathematics of Operations Research 23 (1998) 403-415.
  2. C. Dang. Triangulations and Simplicial Methods, Lecture Notes in Economics and Mathematical Systems 421, Springer, Berlin, 1995.
  3. C. Dang. The D2-triangulation for continuous deformation algorithms to compute solutions of nonlinear equations, SIAM Journal on Optimization 3 (1993) 784-799.
  4. C. Dang. The D2-triangulation for simplicial homotopy algorithms for computing solutions of nonlinear equations, Mathematical Programming 59 (1993) 307-324.
  5. C. Dang. The D1-triangulation of Rn for simplicial algorithms for computing solutions of nonlinear equations, Mathematics of Operations Research 16 (1991) 148-161.

Last modified on 6 September, 2017