English Homepage

Chengyu Hu                                                

China University of Geosciences, Associate Professor

Research Interests:  Evolutionary Computation,  Machine Learning

Chengyu Hu is currently an associate professor and head of Department of Computer scienc, China University of Geosciences, Wuhan, China.

   Follow me:   中文主页   DBLP   ResearchGate

Introduction:

Hu Chengyu received his M.S. degree in automation and control from Wuhan University of Technology in 2003 and obtained his Ph.D. in automation control from Huazhong University of Science and Technology in 2010. He is currently an associate professor and head of Department of Computer scienc, China University of Geosciences, Wuhan, China. His current research interests include:evolutionary algorithm, swarm intelligence and cloud computing.

Education:

  • 2005/09-2010/06,  Ph.D. student at Huazhong University of  Science and Technology

  • 2000/09-2003/06,  M.Sc. student at Wuhan University of  Technology

  • 1996/09-2000/06,  B.Sc. student at Wuhan University of  Technology

Carerr:

  • 2012/1-Present, Associate Professor at China University of Geosciences

  • 2015.1-2016.1, Visiting Scholar at California State University,Fresno

  • 20011.1-2012.1, Researcher at Center of Space Exploration, Ministry of Education

  • 2003.1-2012.1, Lecturer at China University of Geosciences

Interest:

  • Evolutionary Computation: Genetic algorithms,Genetic programming,Evolution strategies,Evolutionary programming.

  • Machine Learning: Bayesian learning, nearest neighbor learning, decision tree learning, multi-instance learning, semi-supervised learning, cost-sensitive learning, class-imbalance learning, label distribution learning, crowdsourcing learning.

Course:

  • Computer Systems Organization and Architecture. (For Undergraduate Students)

  • Micro-processor Interfacing Techniques. (For Undergraduate Students)

  • Reinforcement Learning. (For Graduate Students)

Publication:

   Journal Article

  1. Hu Chengyu, Shu Xin, Yan Xuesong, Zeng Deze and et al, Inline wireless mobile sensors and fog nodes placement for leakage detection in water distribution systems,Software: Practice and Experience,2018

  2. Chengyu Hu,Liguo Dai,Xuesong Yan,Wenyin Gong and et al, Modified NSGA-III for sensor placement in water distribution system,Information Sciences, 2018

  3. Yan Xuesong, Zhu Zhixin, Hu Chengyu and et al,Spark-based intelligent parameter inversion method for prestack seismic data and Gong, Neural Computing & Applications:2018

  4. Yan Xuesong, Li Tian, Hu Chengyu, Realtime localization of pollution source for urban water supply network in emergencies, Cluster Computing:2018

  5. Yan, Xuesong and Yang, Kewei and Hu, Chengyu and Gong, Wenyin, Pollution source positioning in a water supply network based on expensive optimization, Desalination & Water Treatment:2018

  6. Fast and accurate parameter extraction for different types of fuel cells with decomposition and nature-inspired optimization methodWenyin Gong and Xuesong Yan and Chengyu Hu and Ling Wang and Liang GaoEnergy Conversion and Management:2018

  7. Chengyu Hu, Li Ming, Zeng Deze, Guo song, A survey on sensor placement for contamination detection in water distribution systems, Wireless Networks:2016

  8. Hu Chengyu and Ren, Guo and Liu, Chao and Li, Ming and Jie, WeiA Spark-based genetic algorithm for sensor placement in large scale drinking water distribution systems, Cluster Computing:2017

  9. Xuesong Yan , Jie Sun, Chengyu Hu, Research on contaminant sources identification of uncertainty water demand using genetic algorithm,Cluster Computing:2017

  10. Yan and Jing Zhao and Chengyu Hu and Deze Zeng, Multimodal optimization problem in contamination source determination of water supply networksXuesong Swarm and Evolutionary Computation:2017

  11. 面向海量非结构化数据的非关系型存储管理机制,刘超,胡成玉,姚宏,梁庆中,颜雪松,计算机应用:2016

  12. 基于博弈理论的研究生学术失范研究,陈翠荣,胡成玉,科研管理:2016

  13. A MapReduce based Parallel Niche Genetic Algorithm for contaminant source identification in water distribution networkHu, Chengyu and Zhao, Jing and Yan, Xuesong and Zeng, Deze and Guo, SongAd Hoc Networks:2015

  14. 基于MapReduce的高阶矩阵乘法分布式并行算法研究,胡成玉,任果,刘超,姚宏,小型微型计算机系统:2015

  15. 基于多粒子群协同的动态多目标优化算法及应用,胡成玉,姚宏,颜雪松,计算机研究与发展:2013

  16. Multi-swarm co-evolutionary paradigm for dynamic multi-objective optimisation problemsHu, Chengyu and Liang, Qingzhong and Fan, Yuanyuan and Dai, GuangmingInternational Journal of Intelligent Information and Database Systems:2011

  17. 微粒群算法中粒子运动稳定性分析,胡成玉,吴湘宁,颜雪松,智能系统学报:2011

  18. 斥力势场下的多粒子群协同动态优化算法及其应用,胡成玉,吴湘宁,王永骥,小型微型计算机系统:2011

  19. Hu, Chengyu and Wang, Bo and Wang, Yongji, Multi-swarm particle swarm optimiser with Cauchy mutation for dynamic optimisation problemsInderscience Publishers:20010

Conference Paper

  1. Sensors placement in water distribution systems based on co-evolutionary optimization algorithmC. Hu and Di-jun Tian and Chao Liu and Xuesong Yan2015 1st International Conference on Industrial Networks and Intelligent Systems (INISCom):2015(March)

  2. A cloud-based optimization for the placement of water quality sensors in water distribution systemHu, Chengyu and Tian, Dijun and Yao, HongInternational Conference on Mechatronics and Control:2015

  3. Research on placement of water quality sensor in water distribution systemsHu, Chengyu and Tian, Dijun and Yan, XuesongIntelligent Control and Automation:2015

  4. Multi-swarm Particle Swarm Optimizer with Cauchy Mutation for Dynamic Optimization ProblemsHu, Chengyu and Wu, Xiangning and Wang, Yongji and Xie, FuqiangInternational Symposium on Advances in Computation and Intelligence:2009

  5. Autonomous Robot Path Planning Based on Swarm Intelligence and Stream FunctionsHu, Chengyu and Wu, Xiangning and Liang, Qingzhong and Wang, YongjiEvolvable Systems: From Biology To Hardware,  International Conference, Ices 2007, Wuhan, China, September 21-23, 2007, Proceedings:2007

  6. Co-evolutionary particle swarm optimization based on population entropyCheng-Yu, H. U. and Xiang-Ning, W. U. and Wang, Yong JiApplication Research of Computers:2008

相关学者

最近来访

相同研究领域

同一单位

相同研究兴趣