Research Associate 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 Associate Professor at the CSE of SUSTech. My research interests include Artificial Intelligence Ethics, Trustworthy Artificial Intelligence, Evolutionary Computation, Machine Learning, and Automated Algorithm Configuration.
Personal Profile
Personal Profile
Research
Artificial Intelligence Ethics, Trustworthy Artificial Intelligence, Evolutionary Computation, Machine Learning, and Automated Algorithm Configuration.
Publications Read More
- Z. Wang, C. Huang, Y. Li, and X. Yao∗, “Multi-objective Feature Attribution Explanation For Explainable Machine Learning,” ACM Transactions on Evolutionary Learning and Optimization, vol. 4, no. 1, pp. 1–32, Feb. 2024.
- C. Huang, Z. Zhang, B. Mao, and X. Yao∗, “An Overview of Artificial Intelligence Ethics,” IEEE Transactions on Artificial Intelligence, vol. 4, no. 4, pp. 799-819, Aug. 2023. (Most Popular Article in IEEE TAI, over 20,816 views on IEEE Xplore)
- Z. Yang, Z. Wang, C. Huang∗, and X. Yao, “An Explainable Feature Selection Approach for Fair Machine Learning,” 32nd International Conference on Artificial Neural Networks, Crete, Greece, 2023, pp. 75-86.
- Z. Wang, C. Huang, and X. Yao∗, “Feature Attribution Explanation to Detect Harmful Dataset Shift,” 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, Jun. 2023, pp. 1-8.
- S. Gui, Q. Zhang, C. Huang, and B. Yuan∗, “Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning,” 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, Jun. 2023, pp. 1-9.
- H. Bai, L. Shi, Y. Aoues, C. Huang∗, and D. Lemosse, “Estimation of probability distribution of long-term fatigue damage on wind turbine tower using residual neural network,” Mechanical Systems and Signal Processing, vol. 190, pp. 110101, May 2023.
- C. Huang, Z. Zhang, B. Mao, and X. Yao∗, “Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning,” 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, Jul. 2022, pp. 1-7.
- C. Huang, L. Li, C. He, R. Cheng, and X. Yao, “Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation,” Memetic Computing, vol. 14, no. 2, pp. 237-251, May 2022.
- C. Huang, H. Bai, and X. Yao∗, “Online algorithm configuration for differential evolution algorithm,” Applied Intelligence, vol. 52, no. 8, pp. 9193-9211, Jan. 2022.
- X. Yao, K. Tang, Y. Mei, J. Liu, C. Huang, and H. Tong, “Capacitated Arc Routing Problems in Smart Cities,” Artificial Intelligence View, vol 05, pp. 102-114, 2021.
- H. Bai, C. Huang, and X. Yao∗, “Adaptive Differential Evolution based on Exploration and Exploitation Control,” 2021 IEEE Congress on Evolutionary Computation (CEC), Kraków, Poland, Jun. 2021, pp. 41-48.
- C. Huang, L. Li, C. He, R. Cheng∗, and X. Yao, “Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation,” 11th International Conference on Evolutionary Multi-Criterion Optimization, Shenzhen, China, Mar. 2021, pp. 672-683.
- 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∗, 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, Jan. 2021, pp. 1-11.
- 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. (ESI Highly Cited Paper)
- 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, Jul. 2020, pp. 1-8.
- 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, Dec. 2019, pp. 1668-1675.
- 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, Dec. 2019, pp. 1849-1856.
- 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, Jun. 2019, pp. 2090-2097.
- 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, Jun. 2019, pp. 1996-2003.
- 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.
- C. Huang∗, A. El Hami, and B. Radi, “Overview of Structural Reliability Analysis Methods — Part I: Local Reliability Methods,” Uncertainties and Reliability of Multiphysical Systems, vol. 17, no. 1, pp. 1-10, Feb. 2017.
- C. Huang∗, A. El Hami, and B. Radi, “Overview of Structural Reliability Analysis Methods — Part II: Sampling Methods,” Uncertainties and Reliability of Multiphysical Systems, vol. 17, no. 1, pp. 1-10, Feb. 2017.
- C. Huang∗, A. El Hami, and B. Radi, “Overview of Structural Reliability Analysis Methods — Part III: Global Reliability Methods,” Uncertainties and Reliability of Multiphysical Systems, vol. 17, no. 1, pp. 1-8, Feb. 2017.
- C. W. Huang, G. X. Yang, N. J. Fu, and J. L. Xie, “Research on Fretting Fatigue Life of Interference Fit and its Influencing Factors,” Applied Mechanics and Materials, vol. 251, pp. 293-300, Dec. 2012.
- J. L. Li, N. Xiao, C. W. Huang, and N. J. Fu, “Thermal Elasto-Plastic FEM Analysis of the New Heavy-Haul Freight Car Wheel Plate,” Applied Mechanics and Materials, vol. 251, pp. 304-309, Dec. 2012.
- N. J. Fu, J. L. Xie, C. W. Huang, and Y. Teng, “Research on Fatigue Properties of Grade B Steel Casted by the Resin Sand Process,” Applied Mechanics and Materials, vol. 189, pp. 218-224, Jul. 2012.
Contact Us
Contact Address
Office Phone
huangcw3@sustech.edu.cn