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A. Journal Papers
- Jeen-Shing Wang, Yu-Liang Hsu, and Jiun-Nan Liou,
"Inertial-Measurement-Unit-Based Pen with a Trajectory Reconstruction
Algorithm and Its Applications," accepted by
IEEE
Transactions on Industrial Electronics.
- Shihong Yue, Jeen-Shing Wang,
Wei Chen, and Huaxiang Wang, “A Grid-Based K-Means Approach for
Clustering Analysis,” accepted
by Science
in China.
- Che-Wei
Lin, Jeen-Shing Wang, and Pau-Choo Chung, "Mining Physiological
Conditions from Heart Rate Variability Analysis," IEEE
Computational Intelligence Magazine, pp. 50-58, February,
2010.
- Shihong Yue, Jeen-Shing Wang,
Teresa Wu and Huaxiang Wang, "A
New Separation Measure for Improving the Effectiveness of Validity
Indices," Information
Science, vol.
180, pp. 748-764, 2010.
- Yi-Chung Chen and Jeen-Shing Wang,
"A Hammerstein-Wiener Recurrent Neural Network
with Frequency-Domain Eigensystem Realization Algorithm for Unknown
System Identification,"
Journal of Universal Computer Science,
vol. 15, no. 13, pp 2547-2565, 2009.
- 吳致緯、曾育中、王
振興，"智慧型輪型機器人之發展，"Robot
World, issue 35,
pp. 2-7, Oct. 2009.
- 王振興、許煜亮、劉
俊男、莊芳甄，"利用微慣性感測訊號進行手寫軌跡重建，"自動化科技學會會刊, pp. 22-29, September, 2009.
- Jeen-Shing
Wang and Jen-Chieh Chiang, "An
Efficient Data Preprocessing Procedure for SVC Algorithm,"
Journal of Universal Computer Science,
vol. 15., no.4, 705-721, 2009.
- Yu-Liang
Hsu and Jeen-Shing Wang, "A
Wiener-Type Recurrent Neural Network and Its Control Strategy for
Nonlinear Dynamic Applications," Journal of Process Control,
vol. 19, no.6., pp. 942-953, 2009.
- Jeen-Shing
Wang, Yu-Liang Hsu, Hung-Yi Lin, and Yen-Ping Chen, "Model Dimension/Order
Determination for Recurrent Neural Networks," Pattern
Recognition Letters, vol. 30, no. 4, pp. 812-819, 2009.
- Jeen-Shing
Wang and Yen-Ping Chen, "A Hammerstein Recurrent Neuro-Fuzzy Network
with an Online Minimal Realization Learning Algorithm," IEEE
Transactions on Fuzzy Systems, vol.16, no. 6, pp. 1597-1612,
2008.
- Yen-Ping Chen, Jhun-Ying Yang, Shun-Nan Liou, Gwo-Yun Lee, and Jeen-Shing
Wang,
"Online
Classifier Construction Algorithm for Human Motion Detection Using an
Accelerometer," Applied Mathematics and
Computation, vol. 205, no. 2,
pp. 849-860, 2008.
- Jhun-Ying Yang, Jeen-Shing Wang and
Yen-Ping Chen, "Using
Acceleration Measurements for Activity Recognition: An Effective
Learning Algorithm for Constructing Neural Classifiers," Pattern
Recognition Letters, vol. 29,
no. 16, pp. 2213-2220, 2008.
- Shihong Yue, Huaxiang Wang, Jeen-Shing
Wang, Miaomiao Wei, Xin Wang, "A General Grid-Clustering
Approach," Pattern Recognition Letters,
vol. 29, no. 9, pp. 1372-1384, 2008.
- Jeen-Shing
Wang and Yu-Liang Hsu, "Dynamic
Nonlinear System Identification Using a Wiener-Type Recurrent Network
with OKID Algorithm,"
Journal of Information Science and Engineering,
vol. 24, no. 3, pp. 891-905, 2008.
- Jeen-Shing
Wang and Jen-Chieh Chiang, "A Cluster Validity Measure with Outlier
Detection for Support Vector Clustering," IEEE Transactions on
Systems, Man, and Cybernetics-Part B, vol. 38, no. 1, pp.
78-89, 2008.
- Jeen-Shing
Wang and Jen-Chieh Chiang, "A Cluster Validity Measure with a
Hybrid Parameter Search Method for Support Vector Clustering
Algorithm," Pattern
Recognition, vol. 41, no. 2, pp. 506-520, 2008.
- Jeen-Shing
Wang and Yen-Ping Chen, "A Fully Automated Recurrent Neural
Network for Unknown Dynamic System Identification and Control," IEEE
Transactions on Circuits and Systems-I, vol. 56, no. 6, pp.
1363~1372, 2006.
- Jeen-Shing
Wang and C. S. G. Lee, "Self-Adaptive Recurrent Neuro-Fuzzy
Control of an Autonomous Underwater Vehicle," IEEE
Transactions on Robotics and Automation, vol.19, no. 2, pp.
283-295, 2003.
- Jeen-Shing
Wang and C. S. G. Lee, "Self-Adaptive Neuro-Fuzzy Inference
Systems for Classification Applications," IEEE Transactions
on Fuzzy Systems, vol. 10, no. 6, pp. 790-802, 2002.
- C. S. G.
Lee, Jeen-Shing Wang and J. Yuh, "Self-Adaptive
Neuro-Fuzzy Systems for Autonomous Underwater Vehicle Control," Advanced
Robotics, The Robotics Society of Japan, vol. 15, no. 5, pp.
589-608, 2001.
- Jeen-Shing
Wang and C. S. G. Lee, "Structure and Learning in
Self-Adaptive Neural Fuzzy Inference Systems," International
Journal of Fuzzy Systems, vol. 2, no. 1, pp.12-22, March
2000.
Pending Publications:
- Jeen-Shing
Wang and Yu-Liang Hsu, "An MDL-Based
Hammerstein Recurrent Neural Network for Control Applications," accepted by Neurocomputing.
- Jeen-Shing Wang, Cheng-Yi Mau,
and Sheau-Fang Lei, "An Integrated Voice Activity Detection Algorithm
with a Self-Regulatory Threshold and Tracking Power Envelope Dynamics,"
submitted to Speech Communication.
- Shihong Yue, Jing Wang, Jeen-Shing Wang,
and Huaxiang Wang, "Automatic
Determination of the Mass Function in Dempster-Shafer Evidence Theory
Using the Choquet Integral with Nonmonotonic Fuzzy Measures," submitted
to Pattern Recognition Letters.
- Jeen-Shing
Wang and Shihong Yue "A
Boundary Estimation Clustering Algorithm and Its Applications," revised for Information
Science.
- Jeen-Shing Wang and Ming-Jan You,
"An Improved Spectral Subtractive-Type Algorithm with a Spectral
Weighted Filter for Single-Channel Speech Enhancement," submitted to EURASIP
Journal on Advances in Signal Processing.
B. Conference papers
- Tzu-Ping
Kao, Che-Wei Lin, and Jeen-Shing Wang,"Development of a portable
activity detector for daily activity recognition," Proc. of
IEEE International Symposium on Industrial Electronics,
Seoul, Korea, pp.115-120, July 5-8, 2009.
- Hsin-Hui Tseng,
Che-Wei Lin, Yuh-Cherng Guo, Li-Min Liou, and Jeen-Shing Wang, " A
Polysomnography-based HRV and EEG Analysis Software," Proc.
of International Symposium on Biomedical Engineering, pp.1-5,
2008.
- Jhih-Wei Wu, I-Han
Liu and Jeen-Shing Wang, "Intelligent Car-Like Robot with a Remote
Monitoring Control and Lane Keeping Assistance System," Proc.
of International Automatic Control Conferenc, pp. 1-6, 2008.
- Jeen-Shing Wang, Tzu-Ping Kao and I-Han Liu, "An
Autonomous Vehicle with a Cellphone-Based Remote Control and
Vision-Guided Surveillance System," Proc. of International
Automatic Control Conferenc, pp. 1-5, 2008.
- Hung-Yi Lin, Li-Ying
Wu, Chung-Yao Hsu, Sheng-Hsing Lan, and Jeen-Shing Wang, "An Automatic
Detectio Algorithm of Cyclic Alternating Pattern," Proc. of
International Symposium on Biomedical Engineering, pp. 1-5,
2008 (97-2221-E-006-157)
- Fang-Chen Chuang and Jeen-Shing Wang,
“Single-Channel
Speech Enhancement: Using Recurrent Neuro-Fuzzy Voice Activity Detector
and Spectral Subtraction Algorithms,” Proc. of 2008 IEEE
International Conference on Systems, Man, and Cybernetics,
pp. 3057-3061, 2008.
- Li-Ying Wu
and Jeen-Shing Wang, “A Simplified Support Vector Clustering Algorithm,” Proc.
of 2008 IEEE International Conference on Systems, Man, and Cybernetics,
pp. 1259-1264, 2008.
- Jeen-Shing Wang and Yi-Chung Chen, “A Hammerstein-Wiener
Recurrent Neural Network with a Frequency Response Function
Initialization Algorithm,” Proc. of 2008 IEEE International
Conference on Systems, Man, and Cybernetics, pp. 1832-1837,
2008.
- Che-Wei Lin and Jeen-Shing Wang, “A Digital Circuit Design of Nonlinear
Activation Functions for Neural Networks,” Proc. of 2008 IEEE
International Symposium on Circuits and Systems, pp. 856-859,
2008.
- Che-Wei
Lin and Jeen-Shing Wang, “A Digital Circuit Design of State-Space
Recurrent Neural Networks,” Proc. of 2008 IEEE International
Conference on Systems, Man, and Cybernetics, pp. 1838-1842,
2008.
- Ming-Chan You, Cheng-Yi
Mao,
and Jeen-Shing Wang, "Recursive Parametric Spectral Subtraction
Algorithm for Speech Enhancement," Communications in Computer and Information
Sciences, vol. 2, pp. 826-835, 2007.
- Jeen-Shing Wang, Jen-Chieh Chiang,
and Ya-Ting Yang, "Support
Vector Clustering with Outlier Detection," Communications in Computer and Information
Sciences, vol. 2, pp. 423-431, 2007.
- Che-Wei Lin
and Jeen-Shing Wang, "A Novel Membership Function Approximation for
Effective Design of Neural Networks,"
the
18th VLSI Design/CAD Symposium, pp. 261-265, Taiwan, August 8-11,
2007.
- Che-Wei Lin, Jeen-Shing Wang,
and Chun-Chang Yu, "Synchronous Pipeline Hardware Design for a
Neuro-Fuzzy Circuit with On-Chip Learning Capability," Lecture
Notes in Artificial Intelligence, vol. 4682, pp. 192-201,
2007.
- Tzun-Ying Yang,
Yen-Ping Chen, Shun-Nan Liou, Gwo-Yun Lee, and Jeen-Shing
Wang,
"Activity Recognition Using One Triaxial
Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction," Lecture Notes in Computer Sciences,
vol. 4740, pp. 395-400, 2007.
- Tzu-Ping
Kao, Chun-Chang Yu, Ting-Yu Chen, and Jeen-Shing Wang,
"Hardware Design of an Adaptive Neuro-Fuzzy Network with On-Chip
Learning Capability," Lecture Notes in Computer Science,
vol. 4492, no. 2, pp. 336-345, 2007.
- Jeen-Shing Wang, Hung-Yi Lin, Yu-Liang Hsu, and Ya-Ting
Yang, "Using a Wiener-Type Recurrent
Neural Network with the Minimum Description Length Principle for
Dynamic System Identification," Lecture
Notes in Artificial Intelligence, vol. 4682, pp. 192-201, 2007.
- Jeen-Shing
Wang and Jen-Chieh Chiang, "Support
Vector Clustering with a Novel Cluster Validity Method," Proc.
of 2006 IEEE International Conference on Systems, Man & Cybernetics,
Taipei, Taiwan, pp. 3715-3720, Oct. 8-11, 2006.
- Jeen-Shing
Wang and Yen-Ping Chen, "A
Hammerstein Neuro-Fuzzy Network with an Online Hybrid Construction
Algorithm for Dynamic Applications," Proc.
of 2006 IEEE World Congress on Computational Intelligence, Vancouver,
Canada, pp. 9946-9953, July 16-21, 2006.
- Yen-Ping Chen and Jeen-Shing Wang, "A
Novel Nonlinear Dynamical Systems Control Using Linear Controllers with
Nonlinearity Eliminators," Proc.
of 2006 IEEE World Congress on Computational Intelligence, Vancouver,
Canada, pp. 10737-10744, July 16-21, 2006.
- Yen-Ping Chen and Jeen-Shing Wang, "Identification of Chaotic Systems Using a
Self-Constructing Recurrent Neural Network," Proc. of 2005
IEEE
International Conference on Systems, Man
& Cybernetics, The Big
Island, Hawaii, pp. 2150 - 2155, Oct. 10-12,
2005.
- Yen-Ping Chen and Jeen-Shing Wang, "An
Automated Hammerstein Recurrent Neural Network for Dynamic Applications," Proc. of IASTED International Conference on
Computational Intelligence, Calgary,
Canada, July 4-6, 2005.
- Jen-Chieh Chiang
and Jeen-Shing Wang, “A Validity-Guided Support Vector
Clustering Algorithm for Identification of Optimal Cluster
Configuration ,” Proc.
of 2004 IEEE International Conference
on Systems, Man & Cybernetics,
Hague, Netherlands, pp. 3613-3618, October 10-13, 2004.
- Shao-Hua Lee and Jeen-Shing
Wang, “Design of a Neuro-Fuzzy Chip Using
Adaptive Multimode Approaches for an Intelligent Car-Backing System,” Proc.
IEEE International Conference
on Systems, Man & Cybernetics,
Hague, Netherlands, pp. 3799-3804, October 10-13, 2004.
- Jiun-Kai Wang and Jeen-Shing
Wang, “Efficient
Function Approximation Using an Online Self-Regulating Clustering
Algorithm,” Proc. of 2004 IEEE
International Conference on Systems, Man & Cybernetics,
Hague, Netherlands, pp. 5935-5940, October 10-13, 2004.
- Yen-Ping
Chen, Sheng-Nan Wu and Jeen-Shing Wang, “A
Hybrid Predictor for Time Series Prediction,” Proc. of 2004
IEEE International Joint
Conference on Neural Networks, Budapest, Hungary, pp. 1596-1602, July 25-29,
2004.
- Jiun-Kai Wang and Jeen-Shing
Wang, “A
Self-Regulating Clustering Algorithm for Identification of Minimal
Cluster Configuration,” Proc. of 2004
IEEE International Joint
Conference on Neural Networks, Budapest, Hungary, pp. 1427-1432, July 25-29,
2004.
- Yen-Ping Chen and Jeen-Shing
Wang, “A Novel Recurrent Neural Network with Minimal
Representation for Dynamic System Identification,” Proc. of
2004 IEEE
International Joint Conference on Neural Networks, Budapest, Hungary, pp. 849-854, July 25-29,
2004.
- Sheng-Nan
Wu and Jeen-Shing Wang, “An
Adaptive Recurrent Neuro-Fuzzy Filter for Noisy Speech Enhancement,” Proc.
of 2004 IEEE
International Joint Conference on Neural Networks, Budapest, Hungary, pp. 3083-3088, July 25-29,
2004.
- Jeen-Shing
Wang, "An
Efficient Recurrent Neuro-Fuzzy System for Identification and Control
of Dynamic Systems,"
Proc. of 2003 IEEE Int'l Conf. on Systems, Man
& Cybernetics, Washington, D.C., pp. 2833-2838, Oct 5-8,
2003.
- Jeen-Shing
Wang and C. S. G. Lee, "Self-Adaptive Recurrent Neuro-Fuzzy
Control for an Autonomous Underwater Vehicle," Proc. of 2002
IEEE Int'l Conf. on Robotics and Automation, Washington,
D.C., pp. 1190-1100, May 11-15, 2002 (Finalist for the Best Student
Paper Award).
- Jeen-Shing
Wang and C. S. G. Lee, “Efficient Neuro-Fuzzy Control Systems
Autonomous Underwater Vehicles,” Proc. of 2001 IEEE Int'l
Conf. on Robotics and Automation, Seoul, Korea, pp.
2986-2991, May 21-26, 2001.
- C. S. G.
Lee and Jeen-Shing Wang, “Self-Adaptive Neuro-Fuzzy
Systems: Structure and Learning,” Proc. of 2000 IEEE/RSJ
Int'l Conf. on Intelligent Robots and Systems, Takamatsu,
Japan, pp. 52-57, Oct. 31-Nov. 3, 2000.
- Jeen-Shing
Wang, C. S. G. Lee, and J. Yuh, “Self-Adaptive Neuro-Fuzzy
Systems with Fast Parameter Learning for Autonomous Underwater Vehicle
Control,” Proc. of 2000 IEEE Int'l Conf. on Robotics and
Automation, San Francisco, CA, pp. 3861-6, April 24-28, 2000.
- Jeen-Shing
Wang, C. S. G. Lee, and J. Yuh, “Self-Adaptive Neuro-Fuzzy
Control with Fuzzy Basis Function Network for Autonomous Underwater
Vehicles,” Proc. of 1999 IEEE/RSJ Int'l Conf. on Intelligent
Robots and Systems, Kyongju, Korea, pp. 130-135, Oct. 17-21,
1999.
- Jeen-Shing
Wang, C. S. G. Lee, and C. H. Juang, “Structure and Learning
in Self-Adaptive Neural Fuzzy Inference Systems,” Proc. of
the Eighth Int'l Fuzzy Syst. Association World Congress (IFSA'99),
Taipei, Taiwan, pp. 975-980, Aug. 17-20, 1999.
- Jeen-Shing
Wang, C. S. G. Lee, and J. Yuh, “An On-Line Self-Organizing
Neuro-Fuzzy Control for Autonomous Underwater Vehicles,” Proc.
of 1999 IEEE Int'l Conf. on Robotics and Automation, Detroit,
MI, pp. 2416-2421, May 10-15, 1999.
- Jeen-Shing
Wang and R. McLaren, "A Modified Defuzzifier for Control of
the Inverted Pendulum Using Learning," Proc. of 1997 Annual
Meeting of the North American Fuzzy Information Processing Society -
NAFIPS, Syracuse, NY, pp.118-23, Sept. 21-24, 1997.
C. Books
- Ph.D. Thesis, On
the Structure and Learning of Self-Adaptive Neuro-Fuzzy Inference
Systems, School
of Electrical and Computer Engineering, Purdue University, 2001.
- Master
Thesis, A
Modified Defuzzifier for Control of the Inverted Pendulum Using Learning,
Department of Electrical Engineering, University of Missouri-Columbia,
1997.
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