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单一作者,你自由,不孤独

已有 7014 次阅读 2019-3-10 06:06 |系统分类:人物纪事

单一作者,你自由,不孤独 

你可以自由地选择一本书一篇论文,与作者心灵沟通 

你为作者的睿智鼓掌 

你被作者的博学臣服 

你追溯作者的脚印 

看他如何登上巅峰 


单一作者,你自由,不孤独 

你可以自由地推开深夜的窗户,让心灵仰望星空 

你请月亮給你打字 

你让星星为你编程 

你追随那浩瀚的银河 

聆听宇宙开启的钟声 


单一作者,你自由,不孤独 

那一本本书一篇篇论文,就是一片片悠悠的胡蝶在重重叠叠 

你被她们的美丽所吸引 

你要把她们抱入怀中 

你追随她们飘然而去 

把自己融化在风中


单一作者论著和论文:

 

[1] L. X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall: Englewood Cliffs, NJ, 1994. (cited times in google scholar = 4751)

[2] L. X. Wang, A Course in Fuzzy Systems and Control, Prentice-Hall: Englewood Cliffs, NJ, 1997. (cited times in google scholar = 4393)

[3] L. X. Wang, “Stable adaptive fuzzy control of nonlinear systems,” IEEE Trans. on Fuzzy Systems, Vol. 1, No. 2, pp.146-155, 1993. (cited times in google scholar = 1814)

[4] L. X. Wang, “Fuzzy systems are universal approximators,” Proc. 1992 IEEE International Conf. on Fuzzy Systems, pp. 1163-1170, 1992. (cited times in google scholar = 1404)

[5] L. X. Wang, “Stable adaptive fuzzy controllers, with application to inverted pendulum tracking,” IEEE Trans. on Systems, Man, and Cybern., Vol. 26, No. 5, pp. 677-691, 1996. (cited times in google scholar = 362)

[6] L. X. Wang, “Analysis and design of hierarchical fuzzy systems,” IEEE Trans. on Fuzzy Systems, Vol. 7, No. 5, pp. 617-624, 1999. (cited times in google scholar = 294)

[7] L. X. Wang, “Design and analysis of fuzzy identifiers of nonlinear dynamic systems,” IEEE Trans. on Automatic Control, Vol. 40, No. 1, pp. 11-23, 1995. (cited times in google scholar = 247)

[8] L. X. Wang, “The WM method completed: A flexible fuzzy system approach to data mining,” IEEE Trans. on Fuzzy Systems, Vol. 11, No. 6, pp. 768-782, 2003. (cited times in google scholar = 214)

[9] L. X. Wang, “Universal approximation by hierarchical fuzzy systems,” Fuzzy Sets and Systems, Vol. 93, pp. 223-230, 1998. (cited times in google scholar = 213)

[10] L. X. Wang, “A supervisory controller for fuzzy control systems that guarantees stability,” IEEE Trans. on Automatic Control, Vol. 39, No. 9, pp. 1845-1848, 1994. (cited times in google scholar = 144)

[11] L. X. Wang, “Stable and optimal fuzzy control of linear systems,” IEEE Trans. on Fuzzy Systems, Vol. 6, No. 1, pp. 137-143, 1998. (cited times in google scholar = 110)

[12] L. X. Wang, “Training of fuzzy logic systems using nearest neighborhood clustering,” Proc. of 1993 IEEE International Conf. on Fuzzy Systems, pp. 13-17, San Francisco, March 1993. (cited times in google scholar = 88)

[13] L. X. Wang, “Modeling and control of hierarchical systems with fuzzy systems,” Automatica, Vol. 33, No. 6, pp. 1041-1053, 1997. (cited times in google scholar = 55)

[14] L. X. Wang, “Fuzzy systems as nonlinear dynamic system identifiers I: Design,” Proc. of the 31st IEEE Conf. on Decision and Control, Vol.1, pp. 897-902, Tucsun, Dec. 1994. (cited times in google scholar = 35)

[15] L. X. Wang, “Combining mathematical model and heuristics into controllers: an adaptive fuzzy control approach,” Fuzzy Sets and Systems, Vol. 89, pp. 151-156, 1997. (cited times in google scholar = 24)

[16] L. X. Wang, “Solving fuzzy relational equations through network training,” Proc. of 1993 IEEE International Conf. on Fuzzy Systems, pp. 956-960, San Francisco, March 1993. (cited times in google scholar = 20)

[17] L. X. Wang, “Automatic design of fuzzy controllers,” Automatica, Vol. 35, pp. 1471-1475, 1999. (cited times in google scholar = 19)

[18] L. X. Wang, “Fuzzy systems: Challenges and opportunities,” ACTA Automatica Sinica (in Chinese), Vol. 27, No. 4, pp. 585-590, 2001. (cited times in google scholar = 17)

[19] L. X. Wang, “A mathematical formulation of hierarchical systems using fuzzy logic systems,” Proc. IEEE World Congress on Computational Intelligence, Florida, June 1994. (cited times in google scholar = 10)

[20] L. X. Wang, “A neural detector for seismic reflectivity sequences,” IEEE Trans. on Neural Networks, Vol. 3, No. 2, pp. 338-340, 1992. (cited times in google scholar = 6)

[21] L. X. Wang, “A fuzzy projection pursuit model for prediction in high-dimensional space with fuzzily dependent inputs,” IEEE International Conf. on Fuzzy Systems, Melbourne, Dec. 2001.

[22] L. X. Wang, “Designing fuzzy models for nonlinear discrete-time systems with guaranteed performance,” Proc. of 1998 American Control Conference, Philadelphia, June 1998.

[23] L. X. Wang, “Automatic design of fuzzy controllers,” Proc. of 1998 American Control Conference, Philadelphia, June 1998.

[24] L. X. Wang, “A fuzzy system compensator for backlash,” Proc. of the Third Joint Conf. on Information Sciences, Duke University, March 1997.

[25] L. X. Wang, “Universial approximation by hierarchical fuzzy systems,” Proc. of 35th IEEE Conf. on Decision and Control, Japan, Dec. 1996.

[26] L. X. Wang, “Stable and optimal fuzzy control of linear systems,” Proc. of 5th IEEE International Conf. on Fuzzy Systems, Vol. 2, pp. 1453-1458, New Orleans, 1996.

[27] L. X. Wang, “Modeling and control of hierarchical systems with fuzzy systems,” Proc. of 13th IFAC World Congress, Vol. F, pp. 109-114, San Francisco, 1996.

[28] L. X. Wang, “Modeling and control of hierarchical systems II: controller design,” Proc. of 1995 American Control Conference, Seattle, June 1995.

[29] L. X. Wang, “Design of adaptive fuzzy controllers for nonlinear systems by input-output linearization,” Proc. of the NAFIPS/IFIS/NASA'94\fR, Texas, Dec. 1994.

[30] L. X. Wang, “Stable adaptive fuzzy control of nonlinear systems,” Proc. 31st IEEE Conf. on Decision and Control, pp. 2511-2516, 1992.

[31] L. X. Wang, “Fuzzy systems as nonlinear dynamic system identifiers part II: stability analysis and simulations,” Proc. 31st IEEE Conf. on Decision and Control, pp. 3418-3422, 1992.

[32] L. X. Wang, “Speculative dynamical systems: How technical trading rules determine price dynamics,” Proc. of the 2014  IEEE Symposium Series on Computational Intelligence, Orlando, FL, USA, Dec. 2014.

[33] L. X. Wang, “What happens when trend-followers and contrarians interplay in stock market,” Proc. of the 2014 IEEE Symposium Series on Computational Intelligence, Orlando, FL, USA, Dec. 2014.

[34] L. X. Wang, “How to detect big buyers in Hong Kong stock market and follow them up to make money,” Proc. of the 2014  IEEE Symposium Series on Computational Intelligence, Orlando, FL, USA, Dec. 2014.

[35] L. X. Wang, “Dynamical models of stock prices based on technical trading rules Part I: The models,” IEEE Trans. on Fuzzy   Systems, Vol. 23, No. 4, pp. 787-801, 2015. (cited times in google scholar = 25)

[36] L. X. Wang, “Dynamical models of stock prices based on technical trading rules Part II: Analysis of the models,” IEEE Trans. on Fuzzy Systems, Vol. 23, No. 4, pp. 1127-1141, 2015. (cited times in google scholar = 10)

[37] L. X. Wang, “Dynamical models of stock prices based on technical trading rules Part III: Application to Hong Kong stocks,” IEEE Trans. on Fuzzy Systems, Vol. 23, No. 5, pp. 1680-1697, 2015. (cited times in google scholar = 14)

[38] L. X. Wang, “Modeling stock price dynamics with fuzzy opinion networks,” IEEE Trans. on Fuzzy Systems, Vol. 25, No. 2, pp. 277-301, 2017. (cited times in google scholar = 12)

[39] L. X. Wang, “A new look at type-2 fuzzy sets and type-2 fuzzy logic systems,” IEEE Trans. on Fuzzy Systems, Vol. 25, No.3, pp. 693-706, 2017. (cited times in google scholar = 12)

[40] L. X. Wang, “A fast training algorithm for deep convolutional fuzzy systems with application to stock index prediction, arXiv:1812.11226, Dec. 2018.

[41] L. X. Wang, “Hierarchical fuzzy opinion networks: Top-down for social organizations and bottom-up for election,” arXiv:1901.00441, Jan. 2019.


    和导师联名的论文博士导师J.M.Mendel;硕士导师G.Z.Dai(1992-2001西工大校          长)

 

[42] L. X. Wang and J. M. Mendel, “Generating fuzzy rules by learning from examples,IEEE Trans. on Systems, Man, and Cybern., Vol. 22, No. 6, pp. 1414-1427, 1992. (cited times in google scholar = 3328)

[43] L. X. Wang and J. M. Mendel, “Fuzzy basis functions, universal approximation, and orthogonal least squares learning,” IEEE Trans. on Neural Networks, Vol. 3, No. 5, pp. 807-814, 1992. (cited times in google scholar = 2646)

[44] L. X. Wang and J. M. Mendel, “Back-propagation fuzzy systems as nonlinear dynamic system identifiers,Proc. 1992 IEEE International Conf. on Fuzzy Systems, pp. 1409-1418, 1992. (cited times in google scholar = 613)

[45] L. X. Wang and J. M. Mendel, “Fuzzy adaptive filters, with application to nonlinear channel equalization,” IEEE Trans. on Fuzzy Systems, Vol.1, No.3, pp. 161-170, 1993. (cited times in google scholar = 183)

[46] L. X. Wang and J. M. Mendel, “Adaptive minimum prediction-error deconvolution and source wavelet estimation using Hopfield neural networks,” Geophysics, Vol. 57, No. 5, pp. 670-679, 1992. (cited times in google scholar = 77)

[47] L. X. Wang and J. M. Mendel, “Structured trainable networks for matrix algebra,” Proc. of 1990 International Joint Conference on Neural Networks, pp.  125-132, 1990. (cited times in google scholar = 66)

[48] L. X. Wang and J. M. Mendel, “Three-dimensional structured networks for matrix equation solving,” IEEE Trans. on Computers, Vol. 40, No. 12, pp. 1337-1346, 1991. (cited times in google scholar = 51)

[49] L. X. Wang and J. M. Mendel, “Parallel structured networks for solving a wide variety of matrix algebra problems,Journal of Parallel and Distributed Computing, Vol. 14, pp. 236-247, 1992. (cited times in google scholar = 44)

[50] L. X. Wang and J. M. Mendel, “Cumulant-based parameter estimation using structured networks,” IEEE Trans. on Neural Networks, Vol. 2, No. 1, pp. 73-83, 1991. (cited times in google scholar = 23)

[51] L. X. Wang and J. M. Mendel, “An RLS fuzzy adaptive filter, with application to nonlinear channel equalization,” Proc. of 1993 IEEE Conf. on Fuzzy Systems, pp. 895-900, San Francisco, March 1993. (cited times in google scholar = 21)

[52] L. X. Wang and J. M. Mendel, “A fuzzy approach to hand-written rotation-invariant character recognition,” Proc. ICASSP-92, 1992. (cited times in google scholar = 15)

[53] L. X. Wang and J. M. Mendel, “Matrix computations and equation solving using structured networks and training,Proc. 1990 IEEE Conf. on Decision and Control, pp. 1747-1750, 1990. (cited times in google scholar = 13)

[54] L. X. Wang and J. M. Mendel, “Adaptive prediction-error deconvolution and wavelet estimation using Hopfield neural networks,Proc. ICASSP-91, 1991.

[55] L. X. Wang and J. M. Mendel, “Generating fuzzy rules by learning from examples,Proc. 6th IEEE International Symp. on Intelligent Control, pp. 263-268, 1991.

[56] L. X. Wang and J. M. Mendel, “Three-dimensional structured networks for matrix algebra,Proc. 1991 IEEE Workshop on Neural Networks for Signal Processing, 1991.

[57] L. X. Wang and J. M. Mendel, “Cumulant-based parameter estimation using neural networks,” Proc. ICASSP-90, 1990.

[58] L. X. Wang, G. Z. Dai and J. M. Mendel, “One-pass minimum variance deconvolution algorithms,” IEEE Trans. on Automatic Control, Vol. 35, No. 3, pp. 326-329, 1990.

[59] L. X. Wang and G. Z. Dai, “Distributed estimation for team decision systems,Decision and Control (in Chinese), Vol. 3, No. 3, pp. 1-7, 1988.

[60] L. X. Wang and G. Z. Dai, “A distributed target tracking algorithm for multiple stations,Acta Aeronautica et Astronautica Sinica (in Chinese), Vol. 9, No. 3, pp. 165-170, 1988.

[61] L. X. Wang and G. Z. Dai, “A review of distributed estimation theory,Control Theory and Applications (in Chinese), Vol. 5, No. 1, pp. 1-11, 1988.

[62] L. X. Wang and G. Z. Dai, “New recursive smoothing algorithms for Bernoulli-Gaussian input sequences,” Proc. IFAC 1988 Symp. on Identification and System Parameter Estimation, 1988.

[63] L. X. Wang and G. Z. Dai, “A systematic approach to human properties in complex systems,” Proc. 1988 IEEE International Conf. on  Systems, Man, and Cybern., pp. 1253-1256, 1988.

 




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