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黄长武

姓名 黄长武
性别 发明专利4999代写全部资料
学校 南方科技大学
部门 计算机科学与工程系   课题组网站
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职称 研究副教授
联系方式 南方科技大学工学院南楼319室
邮箱 huangcw3@sustech.edu.cn
   
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教师主页 团队成员 科研项目 研究领域 学术成果 教学 科研分享 新闻动态 疼痛医学中心 成果介绍 软件 毕业去向 加入我们 联系我们 黄长武 Google Scholar ResearcherID 研究副教授 计算机科学与工程系   课题组网站 黄长武,博士,南方科技大学计算机科学与工程系研究副教授,硕士生导师。2010年获西南交通大学学士学位,2013年获北京交通大学硕士学位,2018年获法国(鲁昂)国立应用科学学院博士学位(国家建设高水平大学公派研究生)。2018年3月至2020年9月在南方科技大学计算机科学与工程系姚新教授课题组从事博士后研究。主要研究方向包括:人工智能伦理、可信人工智能、演化计算、机器学习、自动算法配置等。 个人简介 个人简介 研究领域 人工智能伦理、可信人工智能、演化计算、机器学习、自动算法配置等。 学术成果 查看更多 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. 加入团队 查看更多 联系我们 联系地址 南方科技大学工学院南楼319室 办公电话 电子邮箱 huangcw3@sustech.edu.cn

黄长武