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师资队伍
刘洋

刘洋

副教授

 

专业:电力系统及其自动化

方向:新能源及储能技术、能源互联网多能联供、电力数据精细化分析及高性能计算等

Email:Yang.Liu@scu.edu.cn

电话:

地址:四川大学基础教学楼B座116室

邮编:610065

学习和工作简历

学习经历

1. 2001-2005,四川大学电气信息学院,电气工程及其自动化专业,学士

2. 2005-2006,Brunel University, School of Engineering and Design, Data Communication Systems, 硕士

3. 2006-2011,Brunel University, School of Engineering and Design, High-Performance Information Retrieval, 博士


工作经历:

1. 2006-2011,助教,School of Engineering and Design, Brunel University

2. 2012至今,教师,电气信息学院,四川大学

科研项目与获奖

科研项目:

1. 雅砻江流域电站运行方式决策支持系统

2. 结构化数据高性能辨识算法研究

3. 基于弹性分布式语义分析与模糊识别技术的智能电力应急指挥系统


获奖:

四川大学青年骨干教师

论文、专著与专利

Journal Publications:
1. Yang Liu, Chenxiao Ma, Lixiong Xu, Xiaodong Shen, Maozhen Li, Pengcheng Li: MapReduce-based parallel GEP algorithm for efficient function mining in big data applications. Concurrency and Computation Practice and Experience 12/2017;, DOI:10.1002/cpe.4379.
2. Lixiong Xu, Yuan Huang, Xiaodong Shen, Yang Liu: Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification. Scientific Programming 02/2017; 2017:1-10., DOI:10.1155/2017/5081526.
3. Yang Liu, Youbo Liu, Junyong Liu, Maozhen Li, Tingjian Liu, Gareth Taylor, Kunyu Zuo: A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems. Mathematical Problems in Engineering 02/2017; 2017:1-12., DOI:10.1155/2017/4030146.
4. Youbo LIU, Yang LIU, Junyong LIU, Maozhen LI, Zhibo MA, Gareth TAYLOR: High-performance predictor for critical unstable generators based on scalable parallelized neural networks. 07/2016; 4(3)., DOI:10.1007/s40565-016-0209-4.
5. Yang Liu, Lixiong Xu, Maozhen Li: The Parallelization of Back Propagation Neural Network in MapReduce and Spark. International Journal of Parallel Programming 02/2016; 45(4)., DOI:10.1007/s10766-016-0401-1.
6. Yang Liu, Weizhe Jing, Lixiong Xu: Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model. Computational Intelligence and Neuroscience 01/2016; 2016(2):1-11., DOI:10.1155/2016/2842780.
7. Yang Liu, Weizhe Jing, Youbo Liu, Lin Lv, Man Qi, Yang Xiang: A sliding window-based dynamic load balancing for heterogeneous Hadoop clusters. Concurrency and Computation Practice and Experience 01/2016; 29(3):n/a-n/a., DOI:10.1002/cpe.3763.
8. Yang Liu, Jie Yang, Yuan Huang, Lixiong Xu, Siguang Li, Man Qi: MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning. Computational Intelligence and Neuroscience 11/2015; 2015(2):1-13., DOI:10.1155/2015/297672.
9. Wenming Guo, Nasullah Khalid Alham, Yang Liu, Maozhen Li, Man Qi: A Resource Aware MapReduce Based Parallel SVM for Large Scale Image Classifications. Neural Processing Letters 09/2015; 44(1)., DOI:10.1007/s11063-015-9472-z.
10. Chuang Deng, Yang Liu, Lixiong Xu, Jie Yang, Junyong Liu, Siguang Li, Maozhen Li: A MapReduce-based parallel K-means clustering for large-scale CIM data verification. Concurrency and Computation Practice and Experience 08/2015; 28(11)., DOI:10.1002/cpe.3580.
11. Yang Liu, Maozhen Li, Mukhtaj Khan, Man Qi: A MapReduce Based Distributed LSI for Scalable Information Retrieval. Computing and Informatics 01/2014; 33(2).
12. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Man Qi: A MapReduce-based distributed SVM ensemble for scalable image classification and annotation. Computers & Mathematics with Applications 12/2013; 66(10):1920-1934., DOI:10.1016/j.camwa.2013.07.015.
13. Godwin Caruana, Maozhen Li, Yang Liu: An Ontology Enhanced Parallel SVM for Scalable Spam Filter Training. Neurocomputing 05/2013;, DOI:10.1016/j.neucom.2012.12.001.
14. Yang Liu, Maozhen Li, Nasullah Khalid Alham, Suhel Hammoud: HSim: A MapReduce simulator in enabling Cloud Computing. Future Generation Computer Systems 01/2013; 29(1)., DOI:10.1016/j.future.2011.05.007.
15. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Suhel Hammoud: A MapReduce-based distributed SVM algorithm for automatic image annotation. Computers & Mathematics with Applications 10/2011; 62(7):2801-2811., DOI:10.1016/j.camwa.2011.07.046.
16. Xiangyu Liu, Maozhen Li, Yang Liu, Man Qi: OBIRE: Ontology Based Bibliographic Information Retrieval in P2P Networks. DOI:10.4018/jdst.2010100105.
17. 许立雄, 刘俊勇, 刘洋,等. 电力网络结构特性分析[J]. 四川大学学报(工程科学版), 2014(s2):133-139.
18. 刘友波, 刘洋, 刘俊勇,等. 基于Hadoop架构的电力系统连锁故障分布式计算技术[J]. 电力系统自动化, 2016, 40(7):90-97.
19. 许立雄, 刘俊勇, 刘洋,等. 基于负荷电流场的电网分区方法[J]. 电网技术, 2015, 39(4):1039-1044.
20. 周昊, 黄炜果, 刘洋,等. 基于可扩展性标记语言的校验及修正系统[J]. 计算机应用研究, 2016, 33(5):1424-1427.
21. 许立雄, 刘俊勇, 丁理杰,等. 基于网络流介数的关键线路识别[J]. 电力系统保护与控制, 2013(5):91-96.
22. 许立雄, 刘俊勇, 刘洋,等. 节点重要度的分类综合评估[J]. 中国电机工程学报, 2014, 34(10):1609-1617.
23. 景卫哲, 刘洋, 向月, 张瑞. 基于需求侧响应的分布式冷热电联供系统能量管理策略[J]. 电力建设, 2017,12(38),68-76 DOI:10.3969/j.issn.1000-7229.2017.12.009.
24. 景卫哲, 刘洋, 田宇娣. 计及预测误差的冷热电联供系统成本计算方法[J], 华电技术, 2017,05(39),1-6+77.

25. 马晨霄, 刘洋, 许立雄, 刘洋, 朱嘉远, 林潇. 同时考虑孤岛与重构的配电网故障恢复运行策略[J]. 电力建设, 2018, 2018(08).

26. 朱嘉远, 刘洋, 许立雄, 蒋卓臻, 林潇. 风电全消纳下的配电网储能可调鲁棒优化配置[J], 电网技术, 2018, 10.13335/j.1000-3673.pst.2017.2621.

27. 刘洋, 刘洋, 许立雄. 适用于海量负荷数据分类的高性能反向传播神经网络算法[J].电力系统自动化, 2018, DOI: 10.7500/AEPS20171215005.

28. Xiaodong Shen, Yang Liu, and Yan Liu: A Multistage Solution Approach for Dynamic Reactive Power Optimization Based on Interval Uncertainty, Mathematical Problems in Engineering, https://doi.org/10.1155/2018/3854812, 2018.



Conference Proceedings:
1. Chuang Deng, Junyong Liu, Yang Liu, Zhen Yu: Cloud computing based high-performance platform in enabling scalable services in power system. 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD); 08/2016, DOI:10.1109/FSKD.2016.7603522.
2. Yang Liu, Weizhe Jing, Lixiong Xu: Cascading model based back propagation neural network in enabling precise classification. 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD); 08/2016, DOI:10.1109/FSKD.2016.7603142.
3. Yang Liu, Jie Yang, Yuan Huang, Lixiong Xu: The performance evaluations for Hadoop in diverse system architectures. FSKD2015; 08/2015, DOI:10.1109/FSKD.2015.7382338.
4. Xiaowen Huang, Junyong Liu, Yang Liu, Lixiong Xu, Jiashi Yang, Yaqi Ni: A GA based optimized PMU-location-decision algorithm considering WAMS reliability. 2014 International Conference on Power System Technology (POWERCON); 10/2014, DOI:10.1109/POWERCON.2014.6993697.
5. Youbo Liu, Yang Liu, Junyong Liu, Christopher S. Saunders, Gareth Taylor, Bazargan Masoud, Wuxing Liang: A cloud computing framework for cascading failure simulation and analysis of large-scale transmission systems. 2014 International Conference on Power System Technology (POWERCON); 10/2014, DOI:10.1109/POWERCON.2014.6993616.
6. Yang Liu, Xiaodong Shen, Lixiong Xu, Maozhen Li: A MapReduce based parallel algorithm for CIM data verification. 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD); 08/2014, DOI:10.1109/FSKD.2014.6980929.
7. Yang Liu, Xiaodong Shen, Lixiong Xu, Maozhen Li: A MapReduce based parallel algorithm for CIM data verification. 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD); 08/2014, DOI:10.1109/FSKD.2014.6980921.
8. Yang Liu, Junyong Liu, Hui Gong, Li Zhang, Xin Zhu, Hao Tian: An extendable markup language based intelligent electrical consumption information verification and self-error-recovery system. 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC); 12/2013, DOI:10.1109/MEC.2013.6885571.
9. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Suhel Hammoud, Mahesh Ponraj: A distributed SVM for scalable image annotation. Eighth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, 26-28 July 2011, Shanghai, China; 07/2011, DOI:10.1109/FSKD.2011.6020072.
10. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Suhel Hammoud: Parallelizing multiclass Support Vector Machines for scalable image annotation. Eighth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, 26-28 July 2011, Shanghai, China; 07/2011, DOI:10.1109/FSKD.2011.6020073.
11. Yang Liu, Maozhen Li, Nasullah Khalid Alham, Suhel Hammoud, Mahesh Ponraj: Load balancing in MapReduce environments for data intensive applications. Eighth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, 26-28 July 2011, Shanghai, China; 07/2011, DOI:10.1109/FSKD.2011.6020071.
12. Zelong Liu, Maozhen Li, Yang Liu, Mahesh Ponraj: Performance evaluation of Latent Dirichlet Allocation in text mining. Eighth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, 26-28 July 2011, Shanghai, China; 07/2011, DOI:10.1109/FSKD.2011.6020066.
13. Suhel Hammoud, Maozhen Li, Yang Liu, Nasullah Khalid Alham, Zelong Liu: MRSim: A discrete event based MapReduce simulator. Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on; 09/2010, DOI:10.1109/FSKD.2010.5569086.
14. Nasullah Khalid Alham, Maozhen Li, Suhel Hammoud, Yang Liu, Mahesh Ponraj: A distributed SVM for image annotation. Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on; 09/2010, DOI:10.1109/FSKD.2010.5569084.
15. Yang Liu, Maozhen Li, Suhel Hammoud, Nasullah Khalid Alham, Mahesh Ponraj: A MapReduce based distributed LSI. Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on; 09/2010, DOI:10.1109/FSKD.2010.5569083.
16. Xiangyu Liu, Maozhen Li, Hao Qi, Yang Liu, Zelong Liu: A Peer-to-Peer Network for Bibliographic Information Retrieval. Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on; 09/2009, DOI:10.1109/FSKD.2009.530.
17. Biao Wang, Yang Liu, Zelong Liu, Maozhen Li, Man Qi: Topic selection in latent dirichlet allocation. DOI:10.1109/FSKD.2014.6980931.
18. Mukhtaj Khan, Yang Liu, Maozhen Li: Data locality in Hadoop cluster systems. DOI:10.1109/FSKD.2014.6980924.

19. Nasullah Khalid Alham, Maozhen Li, Yang Liu, Mahesh Ponraj, Man Qi: A distributed SVM ensemble for image classification and annotation. DOI:10.1109/FSKD.2012.6234316.

20. Yang Liu and Weizhe Jing:?A prototype simulator for the simulation of complicated hadoop framework behaviors , International Conference on Natural Computation , 2017 :2998-3003 .


人才培养

本科教学:

1. 自动控制原理(Ⅱ)
2. 计算机网络与通信
3. 数据库技术
4. 计算机基础及C语言程序设计
5. 计算机网络实践


研究生教学:

全日制研究生17人,改制后非全日制研究生3人。主要方向:

1. 高比例可再生能源并网

2. 新能源不确定性研究

3. 多能联供、多网规划及经济运行

4. 基于高性能计算的精细化负荷分类


学术成果
不成亦无果,尚需努力。
学术任职
一些普通杂志的编委和审稿人