何国良

十大网投信誉排名(中国)有限公司 软件工程系 智能化软件与服务研究所 副教授 (硕导)

研究方向

何国良，男，博士，副教授，工业和信息化部软件与集成电路促进中心云计算研究中心专家、计算机学会人工智能与模式识别专业委员和大数据专家通讯委员，计算机学会高级会员。2007年进入十大网投信誉排名(中国)有限公司任教，2010年2月至2011年2月在加拿大Simon Fraser大学从事博士后研究，主要研究方向为人工智能、数据挖掘、机器学习、智能信息处理和智能算法；主持和参与国家重大科学仪器设备开发专项项目、863计划、国家自然科学基金、中央高校基本科研业务费专项资金、湖北省自然科学基金和其它研究开发型项目等多项科研项目；作为骨干参与的项目获国家科技进步奖二等奖和湖北省科技成果推广奖二等奖。已在国际著名学术期刊和学术会议上（如IEE Transaction on Systems, Man, and Cybernetics，Information Sciences，Knowledge-Based systems,Neurocomputing，soft computing和 计算机学报等）发表论文五十余篇，多篇被SCI／EI 检索。先后担任《IEE Transaction on Systems, Man, and Cybernetics》、《Information sciences》、《Journal of Computer science and Technology》、《计算机学报》和CIKM等国际期刊和会议的审稿人。

教育背景

工作经验

教授课程

发表论文

最近发表的研究论文：

1. Guoliang He(*), Han Wang, Shenxiang Liu, Bo Zhang. CSMVC: A Multi-View Method for Multivariate Time Series Clustering, IEEE Transactions on Cybernetics, 2021, DOI:10.1109/TCYB.2021.3083592. (SCI/ESI一区,IF: 11.08)

2. Yi Zheng，Xiaoqun Wu(*)，Guoliang He(*), Wei Wang. Topology identification of fractional-order complex dynamical networks based on auxiliary-system approach, Chaos, 2021, doi: 10.1063/5.0032932. (SCI一区, IF: 2.832)

3. Jiangtao Gong, Di Ning, Xiaoqun Wu(*), Guoliang He(*), Bounded Leader-Following Consensus of Heterogeneous Directed Delayed Multi-Agent Systems via Asynchronous Impulsive Control, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, DOI 10.1109/TCSII.2021.3054374. (SCI二区, IF: 2.814)

4. Guoliang He, Xin Xin, Rong Peng, Min Han, Juan Wang, Xiaoqun Wu, Online Rule-Based Classifier Learning on Dynamic Unlabeled Multivariate Time Series Data, IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020, DOI:10.1109/TSMC.2020.3012677. (SCI/ESI一区, IF: 9.31)

5. Guoliang He, Bing Li, Han Wang, Wenjun Jiang, Cost-effective Active Semi-supervised Learning on Multivariate Time Series Data with Crowds, IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020, DOI:10.1109/TSMC.2020.3019531. (SCI/ESI一区, IF: 9.31)

6. Guoliang He, Y. Pan, X. Xia, J. He, R. Peng, and N. N. Xiong, A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data, IEEE Transactions on Systems, Man, and Cybernetics: Systems.2019, 8, DOI:10.1109/TSMC.2019.2931731. (SCI/ESI一区, IF: 9.31)

7. He Guoliang; Li Yifei; Zhao Wen. An uncertainty and density based active semi-supervised learning scheme for positive unlabeled multivariate time series classification, KNOWLEDGE-BASED SYSTEMS,2017, 124:80-92. (SCI一区, IF: 5.92)

8. He Guoliang, Chen Lu, Zeng Chen, Zheng Qiaoxian, Zhou Guofu. Probabilistic skyline queries on uncertain time series, NEUROCOMPUTING, 2016, 191:224-237. (SCI一区, IF: 4.44)

9. He Guoliang, Duan Yong, Peng Rong, Jing Xiaoyuan, Qian Tieyun, Wang Lingling. Early classification on multivariate time series, NEUROCOMPUTING, 2015, 149:777-787. (SCI一区, IF: 4.44)

10. Xuewen Xia, Ling Gui, Guoliang He(*), Bo Wei, Yinglong Zhang, Fei Yu, Hongrun Wu, Zhi-Hui Zhan. An expanded particle swarm optimization based on multi-exemplar and forgetting ability. Information Sciences, 2020, 508: 105-120. (SCI一区, IF:5.91 )

11. Guoliang He, Wen Zhao, Xuewen Xia, Rong Peng, Xiaoying Wu. An ensemble of shapelet-based classifiers on inter-class and intra-class imbalanced multivariate time series at the early stage, Soft Computing, 2019, 23:6097-6114. (SCI二区, IF: 3.05)

12.  何国良，李元香，史忠植. 基于精英池演化算法的数字电路在片演化方法,计算机学报，2010,33(2):365-372. (CCF A中文期刊, EI)

13. Guoliang He, Wen Zhao, Xuewen Xia. Confidence based Early Classification of Multivariate Time Series with Multiple Interpretable Rules, PATTERN ANALYSIS AND APPLICATIONS, 2020, 23，567-580. (SCI三区, IF: 1.51)

14. He Guoliang, Yang Laurence, T. Kim, Tai-hoon Hsu, Ching Hsien, Li Yuanxiang, Hu Ting. Evolvable hardware design based on a novel simulated annealing in an embedded system, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2012,24(4):354-370. (SCI三区, IF: 1.45)

15. Guoliang He, Yong Duan, Tieyun Qian, Xu Chen. Early Prediction on Imbalanced Multivariate Time Series, The 22st ACM International Conference on Information and Knowledge Management, 2013. (CCF B, EI)

16. He Guoliang, Chen Lu, Li Zhijie, Zheng Qiaoxian, Li Yuanxiang. Computing Skyline Probabilities on Uncertain Time Series, the 22nd International Conference on Neural Information Processing, 2015. (CCF C, EI)

17. He Guoliang, Duan Yong, Li Yifei, Qian Tieyun, He Jinrong, Jia Xiangyang. Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data, IEEE 27th International Conference on Tools with Artificial Intelligence,2016. (CCF C, EI)

18. Yi fei Li, He Guoliang(*), Xia Xuewen, Li Yuanxiang. A Reverse Nearest Neighbor Based Active Semi-supervised Learning Method for Multivariate Time Series Classification, 27th International Conference on Database and Expert Systems Applications ,2016. (CCF C, EI)

19. Guoliang He, Yong Duan, Guofu Zhou, and Lingling Wang, Early Classification on Multivariate Time Series with Core Features, 25th International Conference on Database and Expert Systems Applications, 2014. (CCF C, EI)

科研课题

最近承担的科研项目：

1. 国家自然科学基金面上项目：基于众包标注的多元时间序列流早期预警及其应用， 2019.01-2022.12，主持。

2.国家科技部“新一代人工智能”重大专项：基于互联网的群智涌现机理与计算方法，2019.11-2022.12，子课题负责人。

3.国家重大科学仪器设备开发专项项目：顺序式波长色散X荧光光谱仪的研发及产业化，2011.10-2017.09，子课题负责人。

4.湖北省自然科学基金面上项目：基于目标识别的自适应演化模型若干关键技术研究，2012.1-2014.12，主持。

5.中央高新基本科研业务费专项资金项目：软硬件协同的自适应技术及应用，2011.1-2012.12，主持。

6.上海奔驰汽车有限公司：车辆远程诊断系统研发，2016.05-2017.06，主持。

7.湖北省评测中心：武汉市地方税务局技术测试项目测试协作，2011.03-2013.06，主持。

8.国家自然科学基金项目：基于内聚约束有大型数据集成探索式挖掘方法研究，2019.1~2022.12，骨干。

9.国家自然科学基金项目：自然计算的数理模型及其算法研究，2017.1~2020.12，骨干。

研究团队

知识产权

最近获批的国家发明专利：

何国良，段勇. 基于核特征早期预测多变量时间序列类别的分类方法(2015)

何国良，段勇，李元香，周国富. 一种早期分类不平衡多变量时间序列数据的方法(2018)

学术服务

成果展示

其他