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Yonghua Yin

Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College, London SW7 2BT, UK

E-mails: y.yin14@imperial.ac.uk

              yinyongh@foxmail.com

Educational Background

October 2014 -

Intelligent Systems and Networks Group

Department of Electrical and Electronic Engineering, Imperial College London

Pursuing Ph.D. Degree in Electrical Engineering

Supervisor: Prof. Erol Gelenbe


September 2012 - June 2014

School of Information Science and Technology, Sun Yat-sen University

Received M.S. Degree in Electronics and Communication Engineering

Thesis: ZG Tracking-Control Method for Single-Input and Multiple-Input Chaotic Systems with Singularity Conquered

          Supervisor: Prof. Yunong Zhang          

GPA: 90/100

Ranking 1st among 43 students (with academic papers considered)


September 2008 - June 2012

School of Information Science and Technology, Sun Yat-sen University

Received B.E. Degree in Automation
Thesis:
Chebyshev Neural Networks and Their Weights and Structure Determination Methods

           Supervisor: Prof. Yunong Zhang

GPA: 89/100

Ranking 6th among 100 students


September 2005 - June 2008

Dongguan Middle School, Dongguan City, Guangdong, China

Research/Project Overview/Pursuits

1. Neural networks and machine learning

  1.1 Deep learning with spiking random neural networks (Research in process)

  1.2 Energy packet networks for smart grid (Research in process)


2. Control theory

   2.1 Nonlinear tracking control, the potential singularity analysis and the singularity-conquering technique  (Research in process)

   2.2 Multi-agent system consensus (Research pursuits)


3. Robotics and application

   3.1  Automatic robots and vehicles (Project experience)

  3.2 Practical application of automatic robots to completing both repetitive tasks in industry and exquisite works in daily life (Research pursuits)


Application Projects

1. Domestic Contest for ABU (Asian-Pacific Broadcasting Union) Robocon 2011

Twelve team members worked together for eight months to make two automatic robots and a manual robot such the robots collaborated to complete multi tasks, including climbing a slope, reaching a specific spot, grabbing objects from a specific place to another specific place and assembling a ``water lily lantern''. My major responsibility was to program the robots.


Please click the following links to see more details about our robots.

Three robots  collaborated to complete multi tasks:  video.

Pictures of auto robot 1: 1, 2, 3, 4, 5, 6.

Pictures of auto robot 2: 1, 2, 3, 4, 5, 6.

Pictures of manual robot: 1, 2, 3, 4.

Pictures of the robot team: 1, 2, 3, 4, 5, 6, 7.


2. Intelligent Vehicle Contest of the School of Engineering 2011

Designed and made an intelligent line-tracking vehicle based on a camera and a microcontroller Freescale MC9S12XS128.


3. Intelligent Vehicle Contest of the School of Engineering 2010

Designed and made an intelligent vehicle based on a ultrasonic sensor and a microcontroller AT89C51 to avoid obstacles.


Research Papers

* Yonghua Yin, “Optimum Energy for Energy Packet Networks,” Probability in the Engineering and Informational Sciences, 1-24, 2017 (SCI). doi:10.1017/S0269964817000067


* Yonghua Yin and Erol Gelenbe, “Single-Cell Based Random Neural Network for Deep Learning,” International Joint Conference on Neural Networks (IJCNN), pages 86-93, 2017.


* Yonghua Yin and Erol Gelenbe, “Multi-Layer Neural Networks for Quality of Service oriented Server-State Classification in Cloud Servers,” International Joint Conference on Neural Networks (IJCNN), pages 1623-1627, 2017.


* Jian Li, Mingzhi Mao, Yunong Zhang, Dechao Chen, and Yonghua Yin, “ZD, ZG and IOL Controllers and Comparisons for Nonlinear System Output Tracking with DBZ Problem Conquered in Different Relative Degree Cases”, Asian Journal of Control (2017), DOI: 10.1002/asjc.1460. (All authors of the paper jointly share the first authorship)


* Yonghua Yin and Erol Gelenbe, “Deep Learning in Multi-Layer Architectures of Dense Nuclei,” ArXiv e-prints, Sep. 2016. In NIPS 2016 workshop on Brains and Bits: Neuroscience Meets Machine Learning. (Available at https://arxiv.org/abs/1609.07160). A full version has been submitted to IEEE Transactions on Neural Networks and Learning Systems (Under review)


*Yonghua Yin and Erol Gelenbe, ``Nonnegative autoencoder with simplified random neural network,'' ArXiv e-prints, Sep. 2016. (Available at https://arxiv.org/abs/1609.08151v2)


*Erol Gelenbe and Yonghua Yin, ``Deep learning with random neural networks,'' International Joint Conference on Neural Networks (IJCNN), pages 1633-1638, 2016.


*Erol Gelenbe and Yonghua Yin, ``Deep learning with random neural networks,'' SAI Intelligent Systems Conference 2016, pages 907-912, 2016.


*Yonghua Yin and Erol Gelenbe, ``Heuristic algorithms for learning of random neural network and energy distribution of energy packet networks,'' Early-Stage-Assessment Report, pages 1–29, September 2015. (Available at http://san.ee.ic.ac.uk/publications.shtml#energy_aware)


* Yonghua Yin, ``Line-search aided non-negative least-square learning for random neural network'', Information Sciences and Systems 2015. Springer International Publishing, 2016: 181-189.


*Yunong Zhang, Dechao Chen, Long Jin, Yinyan Zhang, and Yonghua Yin, ``GD-aided IOL (input-output linearization) controller for handling affine-form nonlinearsystem with loose condition on relative degree'', International Journal of Control, 2015, DOI:10.1080/00207179.2015.1099075.


* Yunong Zhang, Zhengli Xiao, Dongsheng Guo, Mingzhi Mao, and Yonghua Yin, ``Singularity-conquering tracking control of a class of chaotic systems using Zhang-gradient dynamics’’, IET Control Theory and Applications, vol. 9, no. 6, pp. 871-881, 2015.


* Yunong Zhang, Yonghua Yin, Dongsheng Guo, Xiaotian Yu, and Lin Xiao, ``Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification'', Pattern Recognition, vol. 47, pp. 3414-3428, 2014 (SCI).   Source Code (Backup Download Link)


* Jingyao Ren, Junqiao Qiu, Ying Wang, Yonghua Yin, and Yunong Zhang, ``Framework and outlook of ZG control method for multiple-input and multiple-output nonlinear systems’’, Journal of Dalian University, Issue 6, pp. 27-29, 2014 (Chinese journal).


* Yunong Zhang, Ying Wang, Yonghua Yin, Hongzhou Tan, and Qingkai Zeng, ``Theory and Substantiation of z0g1 Controller Conquering Singularity Problem of Output Tracking for a Class of Nonlinear System’’, in the IEEE 17th International Conference on Computational Science and Engineering, pp. 83-88, December 19-21, 2014.


* Yunong Zhang, Long Jin, Dongsheng Guo, Yonghua Yin, and  Yao Chou, ``Taylor-type 1-step-ahead numerical differentiation rule for 1st-order derivative approximation and ZNN discretization'', Journal of Computational and Applied Mathematics, vol. 273, pp. 29-40, 2014 (SCI).


* Qingkai Zeng, Jingyao Ren, Chengxu Ye, Yonghua Yin, and Yunong Zhang, ``Origination, transition and expectation of weights direct determination (WDD) method’’, China Science and Technology Information, Issue 15, pp. 130-131, 2014 (Chinese journal).


* Mingzhi Mao, Zhengli Xiao, Xiaotian Yu, Yonghua Yin, and Yunong Zhang, ``Verification of ZG Controllers for Cart Path Tracking of General IPC Model with Nonzero Link Mass’’, in the Fourth IEEE International Conference on Information Science and Technology (ICIST), pp. 280-283, April 26-28, 2014.


* Yunong Zhang, Dechao Chen, Yonghua Yin, and Dongsheng Guo, ``ZG tracking control of Lu system with multiple inputs and with division-by-zero problem solved'', in the the 33rd Chinese Control Conference (CCC), Nanjing, China, July 28-30, 2014 (EI, 6 pages).


* Yunong Zhang, Xiaotian Yu, Dongsheng Guo, Yonghua Yin, Zhijun Zhang, ``Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation'', Neural Computing and Applications, 2014, DOI 10.1007/s00521-014-1667-0 (SCI).


*  Yunong Zhang, Xiaotian Yu, Yonghua Yin, Chen Peng, and Zhengping Fan, ``Singularity-conquering ZG controllers of z2g1 type for tracking control of IPC system'', International Journal of Control, vol. 87, pp. 1729-1746, 2014 (SCI).


* Yunong Zhang, Xiaotian Yu, Yonghua Yin, Lin Xiao, and Zhengping Fan, ``Using GD to conquer the singularity problem of conventional controller for output tracking of nonlinear system of a class'', Physics Letters A, vol. 377, no. 25-27, pp. 1611-1614, 2013 (SCI).


* Yonghua Yin, Qing Xie,  Ying Wang,  Dechao Chen, Yunong Zhang,``ZG Control for ship course tracking with singularity considered and solved'',  in the 11th IEEE International Conference on Pervasive, Intelligence and Computing (PICom), pp. 477-482, July 26-28, 2013, December 21-22, 2013 (EI, 6 pages).


* Yunong Zhang, Ying Wang, Yonghua Yin, Long Jin, and Dechao Chen, ``ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved finally'', in the 2013 International Conference on Robotics and Biomimetics (ROBIO), pp. 1592-1597, December 12-14, 2014 (EI, 6 pages).


* Yunong Zhang, Feiheng Luo, Yonghua Yin, Jinrong Liu, and Xiaotian Yu, ``Singularity-conquering ZG controller for output tracking of a class of nonlinear systems'', in the 32nd Chinese Control Conference (CCC)}, pp. 477-482, July 26-28, 2013 (EI, 6 pages).


* Yunong Zhang, Chen Peng, Xiaotian Yu, Yonghua Yin, and Yingbiao Ling, ``ZD and ZG controllers for explicit and implicit trackings of pendulum with singularity finally conquered'', in the 2013 International Conference on Machine Learning and Cybernetics (ICMLC), pp. 777-782, July 14-17, 2013 (EI, 6 pages).


* Yunong Zhang, Chengkun Ren, Long Jin, Jinrong Liu, and Yonghua Yin, ``Complete presentation and practice via MATLAB on numerical integration formulas for unknown target functions'', Journal of Gansu Sciences, vol. 25, no. 2, pp. 3-7, 2013 (Chinese journal, 5 pages).


* Yunong Zhang, Yonghua Yin, Dongsheng Guo, Weibing Li, and Zhende Ke, ``Different Zhang functions leading to different ZD models illustrated via time-varying square roots finding'', in the Fourth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 277-282, June 9-11, 2013 (EI, 6 pages).


* Yunong Zhang, Mingming Li, Yonghua Yin, Long Jin, and Xiaotian Yu, ``Controller design of nonlinear system for fully trackable and partially trackable paths by combining ZD and GD'', in the 25th Chinese Control and Decision Conference (CCDC), pp. 209-214, May 25-27, 2013 (EI, 6 pages).


* Yunong Zhang, Yuxi Chen, Jinhao Chen, and Yonghua Yin, ``Proposing, investigation and practice on one-node-ahead numerical differentiation formulas'', Acta Scientiarum Naturalium Universitatis Sunyatseni, vol. 51, no. 2, pp. 1-5, 2012 (Chinese journal, 5 pages).


* Yunong Zhang, Jinrong Liu, Yonghua Yin, Dongsheng Guo, and Feiheng Luo, ``Zhang-gradient tracking controllers of Z1G0 and Z1G1 types for time-invariant linear systems'', in the 2nd International Conference on Computer Science and Network Technology (ICCSNT), pp. 146-150, December 29-31, 2012 (EI, 6 pages).


* Yonghua Yin and Yunong Zhang, ``Weights and structure determination of Chebyshev-polynomial neural networks for pattern classification'' Software, vol. 33, no. 11, 2012 (Chinese journal, 9 pages).


* Yunong Zhang, Yonghua Yin, Huarong Wu, Dongsheng Guo,``Zhang dynamics and gradient dynamics with tracking-control application'', in the 5th International Symposium on Computational Intelligence and Design (ISCID), pp. 235-238, October 28-29, 2012 (EI, 4 pages).


Research Papers(1)

* Yunong Zhang, Huarong Wu, Zhijun Zhang, Senbo Fu, and Yonghua Yin, ``Different-level schemes' equivalence for self-motion planning of robot manipulators'', Artificial Intelligence and Computational Intelligence Lecture Notes in Computer Science, vol. 7530, pp. 9-16, 2012 (EI, 8 pages).


* Yunong Zhang, Wenchao Lao, Yonghua Yin, Lin Xiao, and Jinhao Chen, ``Weights and structure determination of pruning-while-growing type for 3-input power-activation feed-forward neuronet'', in the IEEE International Conference on Automation and Logistics (ICAL), pp. 217-222, August 15-17, 2012 (EI, 6 pages).


* Yunong Zhang, Yonghua Yin, Xiaotian Yu, Dongsheng Guo, and Lin Xiao, ``Pruning-included weights and structure determination of 2-input neuronet using Chebyshev polynomials of class 1'', in the 10th World Congress on Intelligent Control and Automation (WCICA), pp. 700-705, July 6-8, 2012 (EI, 6 pages).


* Yunong Zhang, Jinrong Liu, Yonghua Yin, Feiheng Luo, and Jianhao Deng, ``Zhang-gradient controllers of Z0G0, Z1G0 and Z1G1 types for output tracking of time-varying linear systems with control-singularity conquered finally'', in the 10th International Symposium on Neural Networks (ISNN), Advances in Neural Networks - ISNN 2013 Lecture Notes in Computer Science, vol. 7952, pp. 533-540, July 4-6, 2013 (EI, 6 pages).


* Yunong Zhang, Jinrong Liu, Yonghua Yin, and Lin Xiao, ``Weights and structure determination of multi-input Laguerre-orthogonal-polynomial feed-forward neural network'', Computer Science, vol. 39, no. 12, pp. 249-251,  2012 (Chinese journal, 4 pages).


* Yunong Zhang, Jinhao Chen, Dongsheng Guo, Yonghua Yin, and Wenchao Lao, ``Growing-type weights and structure determination of 2-input Legendre orthogonal polynomial neuronet'', in the 21st IEEE International Symposium on Industrial Electronics (ISIE), pp. 852-857, May 28-31, 2012 (EI, 6 pages).


* Yunong Zhang, Jianhao Deng, Long Jin, Jinrong Liu, and Yonghua Yin, ``Uniqueness logic and its detection by BP neural network'', Acta Scientiarum Naturalium Universitatis Sunyatseni, vol. 52, no. 3, pp. 1-5, 2013 (Chinese journal, 6 pages).


Selected Awards and Honors

Oct 2014     Imperial College PhD Scholarship

Oct 2013     National Scholarship for Postgraduate

Aug 2013   Education Scholarship for Postgraduate from School of Information Science and Technology, Sun Yat-sen  University

Jul 2011      Acceptance of Graduate School of Sun Yat-sen University with Entrance Examination Waived

Dec 2010    Outstanding Student Scholarship from Sun Yat-sen University

Jul 2010      Technology Innovation Competition of the School of Information Science and Technology (the 2nd prize)

Jul 2010      Intelligent Vehicle Contest of the School of Engineering (the winning prize)

Nov 2009    Outstanding Student Scholarship from Sun Yat-sen University

Aug 2009    Excellent Student in Business Start-Up Training Program for College Students

Aug 2009    The Silver Prize in Business-Plan Presentation of Business Start-Up Training Program for College Students

Skills

1. English Proficiency

   IELTS: 7.0 (Listening: 7.0. Reading: 8.5. Writing: 6.0. Speaking: 6.0.)


2. Programming Languages

   C, C++ , MATLAB


3. Software Applications

   MATLAB, MS Visual Studio, CodeWarrior

   LaTex, MS Office

   SolidWorks

   Multisim, PSpice, Altium Designer

   Adobe Premiere, Sony Vegas, Corel VideoStudio