胡成玉
基本信息Personal Information
教授 博士生导师 硕士生导师
性别 : 男
出生年月 : 1978年10月02日
毕业院校 : 华中科技大学
学历 : 博士研究生
学位 : 博士
在职信息 : 在职
所在单位 : 计算机学院
入职时间 : 2003年06月30日
学科 : 计算机科学与技术
办公地点 : 未来城校区计算机学院617
联系方式 : huchengyu@cug.edu.cn
Email :
扫描关注
- [1]Chang Tang, Chengyu Hu等, Multi-level Confidence Learning for Trustworthy Multimodal Classificatio,AAAI,2022
- [2]张文钧, 蒋良孝*, 张欢, 胡成玉. 一种基于偏差-方差权衡的贝叶斯分类学习框架. 中国科学: 信息科学, 2022, 录用
- [3]C. Hu, R. Qiao, Z. Zhang, X. Yan and M. Li, Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment, in Complex System Modeling and Simulation, vol. 2, no. 3, pp. 213-223, September 2022, doi: 10.23919/CSMS.2022.0014.
- [4]Hu, C., Qiao, R., Gong, W. et al. A novelty-search-based evolutionary reinforcement learning algorithm for continuous optimization problems. Memetic Comp. 14, 451–460 (2022).
- [5]Li C., Cui Y., Hu C*. (2022). Design of Portrait System for Road Safety Based on a Dynamic Density Clustering Algorithm. In: , et al. Neural Computing for Advanced Applications. NCAA 2022. Communications in Computer and Information Science, vol 1638. Springer, Singapore.
- [6]Hu, C., Wang, Q., Gong, W. et al. Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network. Memetic Comp. 14, 211–223 (2022).
- [7]Mingxuan Song, Chengyu Hu*,Wenyin Gong and Xuesong Yan,Domain Knowledge-Based Evolutionary Reinforcement Learning for Sensor Placement,Sensors,2022, 22, 3799.
- [8]胡成玉,张克,全诗诗,刘洪铭,基于深度自编码器的供水系统攻击检测研究,华中科技大学学报(自然科学 版),2022年第50卷 第5期
- [9]Wang, B., Hu, C.-Y., & Wang, Y.-J. (2006). PID parameter optimization of hydraulic turbine speed regulating system based on GAs /PSO combination algorithm. Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology, 32(7).
- [10]Hu, C., Wu, X., Liang, Q., & Wang, Y. (2007). Autonomous robot path planning based on swarm intelligence and stream functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 4684 LNCS. https://doi.org/10.1007/978-3-540-74626-3_26
- [11]Yan, X., Wei, W., Liang, Q., Hu, C., & Yao, Y. (2007). Designing electronic circuits by means of gene expression programming II. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 4684 LNCS. https://doi.org/10.1007/978-3-540-74626-3_31
- [12]Hu, C., Yan, X., & Li, C. (2008). Particle swarm optimization with dynamic dimension crossover for high dimensional problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 5370 LNCS. https://doi.org/10.1007/978-3-540-92137-0_82
- [13]Hu, C., Zhao, M., & Wang, Y. (2008). Co-evolutionary particle swarm optimization based on population entropy. Proceedings of the 27th Chinese Control Conference, CCC. https://doi.org/10.1109/CHICC.2008.4605627
- [14]Hu, C., Wang, B., & Wang, Y. (2009). Multi-swarm particle swarm optimiser with Cauchy mutation for dynamic optimisation problems. International Journal of Innovative Computing and Applications, 2(2). https://doi.org/10.1504/IJICA.2009.031782
- [15]Wu, X., Hu, C., & Wang, Y. (2009). Model checking algorithm based on ant colony swarm intelligence. In Communications in Computer and Information Science (Vol. 51). https://doi.org/10.1007/978-3-642-04962-0_41
- [16]Hu, C., Wu, X., Wang, Y., & Xie, F. (2009). Multi-swarm particle swarm optimizer with Cauchy mutation for dynamic optimization problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 5821 LNCS. https://doi.org/10.1007/978-3-642-04843-2_47
- [17]Tang, Q., Shen, Y., Hu, C., & Zeng, J. (2011). Multi-swarm cooperation optimization for multi-modal functions in repulsive potential field. Proceedings of 4th International Workshop on Advanced Computational Intelligence, IWACI 2011. https://doi.org/10.1109/IWACI.2011.6159977
- [18]Hu, C., Liang, Q., Fan, Y., & Dai, G. (2011). Multi-swarm co-evolutionary paradigm for dynamic multi-objective optimisation problems. International Journal of Intelligent Information and Database Systems, 5(6). https://doi.org/10.1504/IJIIDS.2011.043126
- [19]Yan, X., Wu, Q., Hu, C., & Liang, Q. (2011). Electronic circuits optimization design based on cultural algorithms. International Journal of Information Processing and Management, 2(1). https://doi.org/10.4156/ijipm.vol2.issue1.6
- [20]Yan, X., Wu, Q., Hu, C., & Liang, Q. (2011). Circuit design based on particle swarm optimization algorithms. In Key Engineering Materials (Vols. 474–476). https://doi.org/10.4028/www.scientific.net/KEM.474-476.1093