Mr. Shoulin Yin
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Mr. Shoulin Yin

Research Scholar
Shenyang Normal University, China

Highest Degree
Ph.D. Student in Electronic Engineering from Harbin Institute of Technology, China

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Area of Interest:

Computer Sciences
100%
Artificial Intelligence
62%
Information System
90%
Network Security
75%
Robot
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Yin, S.L., J. Liu, H. Li and L. Teng, 2017. A density-based clustering method for K-anonymity privacy protection. J. Inf. Hiding Multimedia Signal Process., 8: 12-18.
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  2. Li, H., S.L. Yin, C. Zhao and L. Teng, 2017. A proxy re-encryption scheme based on elliptic curve group J. Inf. Hiding Multimedia Signal Process., 8: 218-227.
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  3. Li, H., S. Yin, J. Liu and C. Zhao, 2017. Novel gaussian approximate filter method for stochastic non-linear system. Int. J. Innovative Comput. Inf. Control, 13: 201-218.
  4. Yin, S.L., H. Li and J. Liu, 2016. A new provable secure certificateless aggregate signcryption scheme. J. Inf. Hiding Multimedia Signal Process., 7: 1274-1281.
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  5. Yin, S.L. and J. Liu, 2016. A K-means approach for map-reduce model and social network privacy protection. J. Inf. Hiding Multimedia Signal Process., 7: 1215-1221.
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  6. Yin, S., J. Wang and T. Liu, 2016. Improved UFIR Tracking Algorithm for Maneuvering Target. Indonesian J. Electr. Eng. Comput. Sci., 2: 344-350.
    CrossRef  |  
  7. Yin, S., J. Liu, Y. Zhang and L. Teng, 2016. Cuckoo search algorithm based on mobile cloud model. Int. J. Innovative Comput. Inf. Control, 12: 1809-1819.
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  8. Yin, S., J. Liu and L. Teng, 2016. An Improved Artificial Bee Colony Algorithm for Staged Search. TELKOMNIKA Telecomm. Comput. Electron. Control, 14: 1099-1104.
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  9. Yin, S., J. Liu and L. Teng, 2016. A New Semi-supervised Clustering Algorithm Based on Variational Bayesian and Its Application. TELKOMNIKA Telecomm. Comput. Electron. Control, 14: 1150-1156.
    CrossRef  |  Direct Link  |  
  10. Yin, S., H. Li and J. Liu, 2016. New Pigeon Flocks Behavior Used for Multiple Robots Autonomous Formation. J. Software Eng., .
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  11. Yan, Q.X., S.L. Yin and H. Li, 2016. An Improved Kalman Filter Used for Measuring the Parameters of Moving Objects. Comput. Knowl. Technol., 12: 222-224.
    CrossRef  |  
  12. Wang, J., S. Yin and X. Wang, 2016. A New Electrode Regulator System Identification of Arc Furnace Based on Time-Variant Nonlinear-Linear-Nonlinear Model. Indonesian J. Electr. Eng. Comput. Sci., 2: 32-39.
    CrossRef  |  Direct Link  |  
  13. Sun, K., S.L. Yin, J. Liu, 2016. An improved ant colony algorithm used in Hyperspectral remote sensing image classification. J. Shenyang Normal Univ., 34: 92-95.
  14. Meng, L., S. Yin and X. Hu, 2016. An improved Mamdani Fuzzy Neural Networks Based on PSO Algorithm and New Parameter Optimization. Indonesian J. Electr. Eng. Comput. Sci., 1: 201-206.
    CrossRef  |  Direct Link  |  
  15. Meng, L., S. Yin and X. Hu, 2016. A New Method Used for Traveling salesman problem Based on Discrete Artificial Bee Colony Algorithm. TELKOMNIKA Telecomm. Comput. Electron. Control, 14: 342-348.
    CrossRef  |  Direct Link  |  
  16. Liu, T. and S. Yin, 2016. An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation. Multimedia Tools Applic. 10.1007/s11042-016-3776-5.
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  17. Liu, J., S. Yin and L. Teng, 2016. An improved multiple extended target tracking algorithm based on variational bayesian cardinality equilibrium multi-objective bernoulli filtering. ICIC Exp. Lett. Part B: Applic. Int. J. Res. Surv., 7: 209-214.
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  18. Li, H., W.R. Zhang and S.L. Yin, 2016. A new hybrid conjugate gradient FR and PRP method for unconstrained optimization problems. J. Shenyang Normal Univ., 34: 92-95.
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  19. Yin. S.L., T.H. Liu and H. Li, 2015. Application of Kalman filtering in indoor location based on simulated annealing algorithm. J. Shenyang Normal Univ., 33: 86-90.
  20. Yin. S.L., J. Liu and L. Teng, 2015. A Novel Initial Value Selection For Discrete Kalman Filter Used in Indoor Localization Processing. J. Comput. Inf. Sys., 11: 7063-7070.
  21. Liu, T.H., S.L. Yin and H. Li, 2015. Robot Trajectory Tracking Control with an Improved Neural Network Adaptive Sliding Mode Control. J. Comput. Inf. Sys., 11: 4401- 4411.
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  22. Liu, T.H., S.L. Yin and H. Li, 2015. A new online social network privacy protection scheme. Appl. Electr. Tech., 41: 122-124.
  23. Liu, T.H. and S.L. Yin, 2015. An improved genetic Kalman filter used in indoor localization. J. Shenyang Normal Univ., 33: 265-269.
  24. Liu, T.H. and S.L. Yin, 2015. An Improved Neural Network Adaptive Sliding Mode Control Used in Robot Trajectory Tracking Control. Int. J. Innovative Comput. Inf. Control, 11: 1655-1666.
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  25. Liu, T. and S. Yin, 2015. An improved k-means clustering algorithm for Kalman filter. ICIC Exp. Lett. Part B: Applic. Int. J. Res. Surv., 6: 2687-2692.
  26. Liu, T. and S. Yin, 2015. An Improved Unscented Kalman Filter Applied into GPS Positioning System. ICIC Exp. Lett. Part B: Applic. Int. J. Res. Surv., 6: 2937-2942.
  27. Liu, J., S. Yin and L. Teng, 2015. Improved square root unscented kalman bilateral filtering used for indoor positioning system. ICIC Exp. Lett. Part B: Applic. Int. J. Res. Surv., 6: 3205-3210.
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  28. Liu, J, S.L. Yin and L. Teng, 2015. A New Unscented Kalman Filter Based on Bayesian Estimation. J. Comput. Inf. Syst., 11: 7047-7054.
  29. Li, H., S. Yin and T. Liu, 2015. An Improved Quadrature Kalman Filter Based On Gauss-Hermite. ICIC Exp. Lett. Part B: Applic. Int. J. Res. Surv., 6: 3049-3054.
  30. Li, H. and S. Yin, 2015. An Improved TEM Antenna Designing Used in Electromagnetic Pulse Directed Radiation. Prog. Electromagnet. Res. Lett., 51: 17-22.
    CrossRef  |  Direct Link  |  
  31. He, X.X., S.L. Yin and Z.G. Zhao, 2015. Application of least squares based on interval estimation in Kalman filter. J. Shenyang Normal Univ., 33: 284-287.
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