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唐永川

19/11/04 19:08:28 作者: 点击:[] [小] [中] [大]

 唐永川,博士、讲师

 邮箱:tangyongchuan@cqu.edu.cn; 335015926@qq.com

 地址:重庆市沙坪坝区大学城南路55号威尼斯在线平台

 主页:https://orcid.org/0000-0003-2568-9628
 

研究方

信息融合; 智能信息处理; 智能控制

研究进展

2. 28 February 2020:祝贺我院2017级本科生(Haixia Zheng)在SCI期刊发表1项科研进展!
Zheng, Haixia; Tang, Yongchuan*. 2020. "Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis." Entropy 22, no. 3: 280.

1. 24 February 2020:祝贺我校2018级本科生(Rongfei Li; Hao Li)在SCI期刊发表1项科研进展!(Rongfei Li,微电子与通信工程学院; Hao Li,物理学院)
R. Li, H. Li and Y. Tang*, "An Improved Method to Manage Conflict Data Using Elementary Belief Assignment Function in the Evidence Theory," in IEEE Access, vol. 8, pp. 37926-37932, 2020.

教育
2015–2019 西北工业大学, 电子科学与技术专业, 工学博士 (导师:周德云 教授)
2011–2014
西南大学, 计算机应用技术专业, 工学硕士 (导师:刘枫 教授)
2007–2011
西南大学, 自动化(控制方向)专业, 工学学士
境外经历
1.2018.07 英国剑桥;剑桥大学,参加21st International Conference on Information Fusion (FUSION), 10-13 July 2018, Cambridge, UK;作口头报告。(西北工业大学资助国际学术会议)

2.2017-2018 中国香港;香港理工大学, 访学6个月 (西北工业大学资助, 合作导师: Prof. Felix T.S. Chan)

讲授课程(专题)

2019–2020 软件架构设计 (硕士课程)

2015–2016 模糊系统与模糊控制 (硕士课程)

2011–2012 过程检测技术及仪表 (本科课程)

主持项目
1.西北工业大学博士论文创新基金(重点)项目,基于证据理论的非完备信息表示及应用研究,经费:4.00万元;项目周期:2017.01–2018.12。

参加项目
1.国家自然科学基金,项目名称“非完备信息的基本概率指派生成及应用研究”(编号:61671384),项目期限:2017年01月~2020年12月。
2.军委科技委项目,项目名称“XXX数据库开发与XXX决策模型研究”,项目期限:2016年11月~2018年06月。
3.军委科技委项目,项目名称“自组织XXX系统XXX关键技术研究”,项目期限:2017年06月~2017年12月。

科研成果

一、英文期刊论文(SCI 收录)Corresponding author

    (数据统计于2019年10月,更新请见:https://orcid.org/0000-0003-2568-9628

1.     Xie, S., Zhang, A., Bi, W., & Tang, Y. (2019). Multi-UAV Mission Allocation under Constraint. Applied Sciences9(11), 2184.

2.     Zhou, Y., Tang, Y.*, & Zhao, X. (2019). A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy. Entropy21(5), 495.

3.     Wan, L., Su, Y., Zhang, H., Tang, Y., & Shi, B. (2019). Global fast terminal sliding mode control based on radial basis function neural network for course keeping of unmanned surface vehicle. International Journal of Advanced Robotic Systems16(2), 1729881419829961.

4.     Pan, Q., Zhou, D., Tang, Y., Li, X., & Huang, J. (2019). A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy. Entropy21(2), 163.

5.     Lv, X., Zhou, D., Ma, L., & Tang, Y.*. (2019). Dependency Model-Based Multiple Fault Diagnosis Using Knowledge of Test Result and Fault Prior Probability. Applied Sciences9(2), 311.

6.     Pan, Q., Zhou, D., Tang, Y., & Li, X. (2019). A Novel Antagonistic Weapon-Target Assignment Model Considering Uncertainty and Its Solution Using Decomposition Co-Evolution Algorithm. IEEE Access7, 37498-37517.

7.     Meng, J., Fu, D., Tang, Y., Yang, T., & Zhang, D. (2019). A Novel Semi-Supervised Classification Method Based on Soft Evidential Label Propagation. IEEE Access7, 62210-62220.

8.     Zhou, X., & Tang, Y.* (2018). Modeling and Fusing the Uncertainty of FMEA Experts Using an Entropy-Like Measure with an Application in Fault Evaluation of Aircraft Turbine Rotor Blades. Entropy20(11), 864.

9.     Wan, L., Su, Y., Zhang, H., Tang, Y., & Shi, B. (2018). Neural adaptive sliding mode controller for unmanned surface vehicle steering system. Advances in Mechanical Engineering10(9), 1687814018795523.

10.  Huang, Z., Jiang, W., & Tang, Y. (2018). A new method to evaluate risk in failure mode and effects analysis under fuzzy information. Soft Computing22(14), 4779-4787.

11.  Tang, Y.*, Zhou, D., & Chan, F. (2018). An extension to Deng’s entropy in the open world assumption with an application in sensor data fusion. Sensors18(6), 1902.

12.  Jiang, W., Xie, C., Wei, B., & Tang, Y. (2017). Failure mode and effects analysis based on Z-numbers. Intelligent Automation & Soft Computing, 1-8.

13.  Tang, Y.*, Zhou, D., & Chan, F. T. (2018). AMWRPN: Ambiguity measure weighted risk priority number model for failure mode and effects analysis. IEEE access6, 27103-27110.

14.  Lv, X., Zhou, D., Tang, Y.*, & Ma, L. (2018). An improved test selection optimization model based on fault ambiguity group isolation and chaotic discrete PSO. Complexity2018.

15.  Jiang, W., Yang, T., Shou, Y., Tang, Y., & Hu, W. (2018). Improved evidential fuzzy c-means method. Journal of Systems Engineering and Electronics29(1), 187-195.

16.  Li, X., Zhou, D., Pan, Q., Tang, Y., & Huang, J. (2018). Weapon-target assignment problem by multiobjective evolutionary algorithm based on decomposition. Complexity2018.

17.  Tang, Y.*, Zhou, D., Zhuang, M., Fang, X., & Xie, C. (2017). An improved evidential-IOWA sensor data fusion approach in fault diagnosis. Sensors17(9), 2143.

18.  Jiang, W., Xie, C., Zhuang, M., & Tang, Y. (2017). Failure mode and effects analysis based on a novel fuzzy evidential method. Applied Soft Computing57, 672-683.

19.  Tang, Y.*, Zhou, D., He, Z., & Xu, S. (2017). An improved belief entropy–based uncertainty management approach for sensor data fusion. International Journal of Distributed Sensor Networks13(7), 1550147717718497.

20.  Zhou, D., Tang, Y.*, & Jiang, W. (2017). A modified belief entropy in Dempster-Shafer framework. PloS one12(5), e0176832.

21.  Tang, Y.*, Zhou, D., Xu, S., & He, Z. (2017). A weighted belief entropy-based uncertainty measure for multi-sensor data fusion. Sensors17(4), 928.

22.  Jiang, W., Wei, B., Tang, Y., & Zhou, D. (2017). Ordered visibility graph average aggregation operator: An application in produced water management. Chaos: An Interdisciplinary Journal of Nonlinear Science27(2), 023117.

23.  Tang, Y.*, Zhou, D., & Xu, S. (2017). An Improved Physarum Solver for Supply Chain Network with Fuzzy Numbers. International Journal of Unconventional Computing13(2), 161-184.

24.  Zhou, D., Tang, Y.*, & Jiang, W. (2017). An improved belief entropy and its application in decision-making. Complexity2017.

25.  Jiang, W., Xie, C., Luo, Y., & Tang, Y. (2017). Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers. Journal of Intelligent & Fuzzy Systems32(3), 1931-1943.

26.  Jiang, W., Zhuang, M., Qin, X., & Tang, Y. (2016). Conflicting evidence combination based on uncertainty measure and distance of evidence. SpringerPlus5(1), 1217.

27.  Jiang, W., Xie, C., Zhuang, M., Shou, Y., & Tang, Y. (2016). Sensor data fusion with z-numbers and its application in fault diagnosis. Sensors16(9), 1509.

28.  Tang, Y., Zhou, D., & Jiang, W. (2016). A new fuzzy-evidential controller for stabilization of the planar inverted pendulum system. PloS one11(8), e0160416.

29.  Zhou, D., Tang, Y.*, & Jiang, W. (2016). A modified model of failure mode and effects analysis based on generalized evidence theory. Mathematical Problems in Engineering2016.

30.  Jiang, W., Wei, B., Qin, X., Zhan, J., & Tang, Y. (2016). Sensor data fusion based on a new conflict measure. Mathematical Problems in Engineering2016. 

二、国际学术会议论文(EI 收录)

1.     Tang, Y.*, Zhou, D., & Chan, F. T. (2018, July). Extending Deng Entropy to the Open World in the Evidence Theory. In 2018 21st International Conference on Information Fusion (FUSION), 10-13 July 2018, Cambridge, UK, (pp. 629-634). IEEE.

2.     Tang, Y.*, Fang, X., Zhou, D., & Lv, X. (2017, July). Weighted Deng entropy and its application in uncertainty measure. In 2017 20th International Conference on Information Fusion (Fusion) (pp. 1-5). IEEE.

3.     Feng, L., Tang, Y., & Qian, Q. (2011, August). Stabilize the planar single inverted pendulum based on LQR. In 2011 IEEE International Conference on Automation and Logistics (ICAL) (pp. 238-242). IEEE.

4.     Qian, Q., Dongmei, D., Feng, L., & Tang, Y. (2011, August). Stabilization of the double inverted pendulum based on discrete-time model predictive control. In 2011 IEEE International Conference on Automation and Logistics (ICAL) (pp. 243-247). IEEE. 

学术兼职

1.担任IEEE Transactions on Engineering Management、SCIENCE CHINA Information Sciences、International Journal of Approximate Reasoning、Stochastic Environmental Research and Risk Assessment、International Journal of Imaging Systems and Technology、Quality and Reliability Engineering International、International Journal of Fuzzy Systems、Discrete Dynamics in Nature and Society、IEEE Access、PLOS ONE、Mathematical Problems in Engineering、International Journal of Distributed Sensor Networks等SCI国际期刊审稿人。

2.担任21th International Conference on Information Fusion、20th International Conference on Information Fusion等国际会议审稿人、担任TPC member of the 21th International Conference on Information Fusion (Fusion 2018)。

3.国际信息融合学会会员(Regular member of ISIF,2017-2020)。

4.中国电子教育学会会员(2019-2021)。

工作经历

2019.07– 至今  威尼斯在线平台,大数据与软件学院,讲师

2018.06–2018.11 西北工业大学, 电子信息学院, 辅导员
2014.03–2015.08 广州汽车集团股份有限公司汽车工程研究院, 研发工程师
2012.05–2012.11 中共珙县县委组织部, 挂职锻炼(校地合作项目)
2011.09–2012.01 
西南大学育才学院(现重庆人文科技学院), 外聘教师
2011.08–2012.01 西南大学, 2011级自动化专业, 班主任
2010.08–2011.02 
成都吉胜科技有限责任公司, 客户服务专员

工程项目

2014.03–2015.08 参加广汽集团自主品牌"广汽传祺"系列整车研发项目

就职广州汽车集团股份有限公司汽车工程研究院(广汽研究院)期间, 任电子电器部车身电子电气系统设计责任工程师.参加广汽研究院"广汽传祺"品牌系列整车研发项目包括:

(1)三款SUV: 广汽传祺GS5S,GS4,GS8;

(2)两款轿车:广汽传祺GA6,GA8;

(3)一款MPV: 广汽传祺GM8。

在项目中主要负责:

(1)各车型智能前照灯自适应调光控制系统AFS/ALS;

(2)整车灯具电气接口信息;

(3)鸣笛喇叭等车身电子零部件系统技术方案制定;

(4)所负责零部件/系统的供应商考察与定点, 零部件布置, 台架测试, 软件参数标定试验, 实验报告编制, 量产准备等工作。

荣誉奖励

2018 教育部"博士研究生国家奖学金",工信部“工信创新创业奖学金”二等奖,西北工业大学博士生一等学业奖学金、社会活动二等奖学金等。

2017 教育部"博士研究生国家奖学金",西北工业大学博士生一等学业奖学金、"优秀研究生"、社会活动一等奖学金等。

2016 教育部"博士研究生国家奖学金",西北工业大学"优秀研究生"、博士生一等学业奖学金等。

2015 西北工业大学博士生一等学业奖学金。
2014 广汽集团汽车工程研究院,(提前3个月)转正考核"优秀"。
2013 
西南大学研究生一等奖学金等。

2012 西南大学研究生一等奖学金等。

2011 西南大学研究生一等奖学金、优秀毕业生等。

2010 教育部国家励志奖学金,重庆市"精神文明"先进个人,西南大学优秀学生干部等。

2009 教育部国家励志奖学金,西南大学三好学生等。
2008 西南大学三等奖学金、优秀学生干部等。

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