Publications

Link to my Google Scholar page and my github profile.


Selected Journal Papers

  1. Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm
    Zhang, Y., Huang, M.*, Gao, Z., Jiang, S., Fang, S.-C., & Wang, X. (2024). International Journal of Production Research . (Available online)
    2. website
  2. A distributionally robust chance-constrained kernel-free quadratic surface support vector machine
    Lin, F., Fang, S.-C., Fang, X., Gao, Z.*, & Luo, J. (2024). European Journal of Operational Research, 316(1), 46-60.
    3. website
  3. A novel Markov model for near-term railway delay prediction
    Xu, J., Wang, W., Gao, Z.*, Luo, H., & Wu, Q. (2023). Computers & Industrial Engineering, 181, 109302.
    4. website
  4. Sparse L1-norm quadratic surface support vector machine with Universum data
    Moosaei, H., Mousavi, A., Hladík, M., & Gao, Z.* (2023). Soft Computing, 27(9), 5567-5586.
    5. website
  5. A robust support vector regression model for electric load forecasting
    Luo, J., Hong, T., Gao, Z.*, & Fang, S.-C. (2023). International Journal of Forecasting, 39(2), 1005-1020.
    6. website
  6. Multi-period distribution network design with boundedly rational customers for the service-oriented manufacturing supply chain: A 4PL perspective
    Zhang, Y., Gao, Z., Huang, M.*, Jiang, S., Yin, M., & Fang, S.-C. (2022). International Journal of Production Research, 1-20.
    7. website
  7. Distributionally robust optimization: A review on theory and applications
    Lin, F., Fang, X., & Gao, Z.* (2022). Numerical Algebra, Control and Optimization, 12(1), 159-212.
    8. website
  8. A kernel-free fuzzy reduced quadratic surface &nu-support vector machine with applications
    Gao, Z., Wang, Y., Huang, M.*, Luo, J., & Tang, S. (2022). Applied Soft Computing, 127, 109390.
    9. website
  9. Quadratic surface support vector machine with L1 norm regularization
    Mousavi, A.*, Gao, Z., Han, L., & Lim, A. (2022). Journal of Industrial and Management Optimization, 18(3), 1835-1861.
    10. website
  10. A novel kernel-free least squares twin support vector machine for fast and accurate multi-class classification
    Gao, Z., Fang, S.-C., Gao, X., Luo, J.*, & Medhin, N. (2021). Knowledge-Based Systems, 226, 107123.
    11. website
  11. A kernel-free double well potential support vector machine with applications
    Gao, Z., Fang, S.-C., Luo, J.*, & Medhin, N. (2021). European Journal of Operational Research, 290(1), 248-262.
    12. website
  12. Rescaled Pure Greedy Algorithm for convex optimization
    Gao, Z., & Petrova, G.* (2019). Calcolo, 56(2), 1-14.
    13. website


Thesis

Kernel-free support vector machine models for data classification
website