Research Assistant Professor Department of Computer Science and Engineering   Research Group

I obtained my Bachelor degree from Southwest Jiaotong University in 2010, Master degree from Beijing Jiaotong University in 2013, and Ph.D. degree from Institut National des Sciences Appliquées de Rouen Normandie (INSA Rouen Normandie), France, in 2018. From Mar. 2018 to Sept. 2020, I was a Post-Doctor with the Department of Computer Science and Engineering (CSE), Southern University of Science and Technology (SUSTech), Shenzhen, China. I am currently a Research Assistant Professor at the CSE of SUSTech. My research interests include Trustworthy Artificial Intelligence, Evolutionary Computation, Machine Learning, and Automated Algorithm Configuration.

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Research

Trustworthy Artificial Intelligence, Evolutionary Computation, Machine Learning, and Automated Algorithm Configuration.


Publications Read More

  • H. Tong, C. Huang, L. L. Minku, and X. Yao, “Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study,” Information Sciences, vol. 562, pp. 414–437, Jul. 2021.
  • H. Bai, C. Huang, and X. Yao, “Adaptive Differential Evolution based on Exploration and Exploitation Control,” 2021 IEEE Congress on Evolutionary Computation (CEC), Jun. 2021.
  • C. Huang, L. Li, C. He, R. Cheng, and X. Yao, “Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation,” Evolutionary Multi-Criterion Optimization, pp. 672–683, 2021.
  • C. Huang, Y. Li and X. Yao, “Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems,” 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1-8
  • H. Bai, D. Lemosse, Y. Aoues, J. Cherfils, and C. Huang, “A Probabilistic Approach In Long-Term Fatigue Analysis Of Onshore Wind Turbine Tower,” 14th WCCM-ECCOMAS Congress, 2021.
  • C. Huang, Y. Li, and X. Yao, “A Survey of Automatic Parameter Tuning Methods for Metaheuristics,” IEEE Transactions on Evolutionary Computation, vol. 24, no. 2, pp. 201–216, Apr. 2020.
  • C. Huang, Y. Li and X. Yao, “Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems,” 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, pp. 1668-1675, Dec. 2019.
  • H. Tong, S. Zhang, C. Huang and X. Yao, “Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms,” 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, pp. 1849-1856, Dec. 2019.
  • C. Huang, B. Yuan, Y. Li and X. Yao, “Automatic Parameter Tuning using Bayesian Optimization Method,” 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 2090-2097, Jun. 2019.
  • H. Tong, C. Huang, J. Liu and X. Yao, “Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems,” 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 1996-2003, Jun. 2019.
  • C. Huang, B. Radi, A. El Hami, and H. Bai, “CMA evolution strategy assisted by kriging model and approximate ranking,” Applied Intelligence, vol. 48, no. 11, pp. 4288–4304, Jun. 2018.
  • C. Huang, A. El Hami, and B. Radi, “Metamodel-based inverse method for parameter identification: elastic–plastic damage model,” Engineering Optimization, vol. 49, no. 4, pp. 633–653, Jul. 2016.
  • C. Huang, B. Radi, and A. E. Hami, “Uncertainty analysis of deep drawing using surrogate model based probabilistic method,” The International Journal of Advanced Manufacturing Technology, vol. 86, no. 9–12, pp. 3229–3240, Feb. 2016.

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huangcw3@sustech.edu.cn

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