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洪文良 Wen-Liang Hung

系所人員 Faculty - 專任教師  
 

洪文良 Wen-Liang Hung
洪文良 教授 職　　稱 教授
最高學歷 國立中央大學統計研究所博士
學術領域 柔性計算, 圖形識別, 模糊聚類分析
電　　話 分機75900
傳　　真  (03)5611228
辦  公  室 9213 
電子郵件

wlhung@mail.nd.nthu.edu.tw
經歷摘要

國立新竹教育大學資訊科學所教授  (2006~2010)
國立新竹教育大學應用數學系教授  (2005~2006)
中華民國參加亞太暨國際數學奧林匹亞競賽工作小組委員(2003/2/15~迄今)
中華民國參加亞太暨國際數學奧林匹亞競賽觀察員(2003)
中華民國參加亞太暨國際數學奧林匹亞競賽副領隊(2004)
中華民國參加亞太暨國際數學奧林匹亞競賽觀察員(2005)
中華民國參加亞太暨國際數學奧林匹亞競賽副領隊(2006)

個　　人　　著　　作

【期刊論文】

  1. Huei-Wen Teng,W.L. Hung and Yen-Ju Chao (2014, Nov). Bayesian MCMC imputation for the transiting exoplanets with an application in clustering analysis. Journal of Applied Statistics. (Accepted). MOST 100-2118-M-134-001. 本人為通訊作者.
  2. Jen-Hao Chen and W.L. Hung (2014, Nov). An automatic clustering algorithm for probability density functions. Journal of Statistical Computation and Simulation. 本人為通訊作者.
  3. W.L. Hung and Jenn-Hwai Yang (2014, Oct). Automatic clustering algorithm for fuzzy data. Journal of Applied Statistics. (Accepted). MOST 102- 2118-M-134-001. 本人為第一作者、通訊作者.
  4. W.L. Hung & De-Hua Chen (2013). Clustering algorithm for proximity- relation matrix and its applications. Journal of Applied Statistics. NSC 97-2118- M-134-002. 本人為第一作者、通訊作者.
  5. H.S. Tsai ,W.L. Hung, M.S.Yang(2012), A robust kernel-based fuzzy c-means algorithm by incorporating suppressed and magnified membership for MRI image segmentation ,Lecture Notes in Computer Science, Vol.LNAI 7530, No.0 p.744-754.(EI)
  6. M.S.Yang,W.L. Hung, D.H.Chen(2012), Self-organizing map for symbolic data,Fuzzy Sets and Systems, 203, 49-73.(SCI)
  7. S.J. Chang-Chien,W.L. Hung(2012), On mean shift-based clustering for circular data,Soft Computing ,16 , 1043-1060.(SCI)
  8. C.M. Hwang,M.S.Yang,W.L. Hung(2012), On similarity, inclusion measure and entropy between type-2 fuzzy sets,International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 20, 433-449.(SCI)
  9. C.M. Hwang,M.S.Yang,W.L. Hung, M.G.Lee(2012), A similarity measure of intuitionistic fuzzy sets based on Sugeno integral with its application to pattern recognition,Information Sciences, 189, 93-109.(SCI)
  10. W.L. Hung, S.J. Chang-Chien, M.S.Yang(2012), Self-updating clustering algorithm for estimating the parameters in mixtures of von Mises distributions,Journal of Applied Statistics, 39, 2259-2274.(SCI)
  11. C.M.Hwang, W.L. Hung, M.S.Yang(2011), Adaptive Weighted K-Means Algorithm for Color Image Segmentation,(2011) 3rd International Conference on Computer Modeling and Simulation (ICCMS 2011).(EI)
  12. C.M.Hwang, M.S.Yang,W.L. Hung(2011), New Similarity and Inclusion Measures between Type-2 Fuzzy Sets,978-1-61284-076-5/11 c2011 IEEE.(EI)
  13. C.M.Hwang, M.S.Yang,W.L. Hung, E.Stanley. Lee(2011), Similarity, inclusion and entropy measures between type-2 fuzzy sets based on the Sugeno integral,Mathematical and Computer Modelling Vol. 53, No. 9, pp. 1788-1797.2011.(SCI)
  14. W.L. Hung, M.S. Yang, E.Stanley. Lee(2011), Cell formation using fuzzy relational clustering algorithm.Mathematical and Computer Modelling Vol. 53, no. 9, pp.1776-1787.2011.(SCI)
  15. W.L. Hung, D.H. Chen, M.S. Yang(2011), Suppressed fuzzy-soft learning vector quantization for MRI segmentation,Artificial Intelligence in Medicine ,52, 33-43(SCI)
  16. W.L. Hung, Y.C. Chang, E.Stanley. Lee (2011). Weight selection in W-K-means algorithm with an application in color image segmentation,Computers and Mathematics with Applications 62 668–676(SCI)
  17. W.L. Hung, M.S. Yang,J.Yu, C.M. Hwang, Feature-Weighted Mountain Method with Its Application to Color Image Segmentation,International Journal of Computational Intelligence Systems, Vol. 4, No. 5(September, 2011), 1002-1011.(SCI)
  18. W.L. Hung, E.Stanley. Lee, S.C. Chuang(2011). Balanced bootstrap resampling method for neural model selection,Computers and Mathematics with Applications 62, 4576-4581, In press.(SCI)
  19. W.L. Hung, Y.C.Chang(2011), Comparison between method of moments and entropy regularization algorithm applied to parameter estimation for mixed-Weibull distribution,Journal of Applied Statistics , 38, No. 12, 2709–2722.(SCI)
  20. W.L. Hung, M.S. Yang,C.M.Hwang(2011), Exponential-Distance Weighted K-Means Algorithm with Spatial Constraints for Color Image Segmentation, International Conference on Multimedia and Signal Processing.(E1)
  21. W.C. Lee, J.W. Wu, C.W. Hong, H.Y. Pan, and W.L. Hung(2010), Decision procedure of performance assessment of lifetime index of products for the Gompertz distribution, Proceedings of the institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, DOI 10.1243/09544054JEM1598, In press.(SCI)
  22. W.L. Hung, D.H. Chen and M.S. Yang(2011). Suppressed fuzzy-soft learning vector quantization for MRI segmentation.Artificial Intelligence in Medicine.
  23. C.M. Hwang, M.S. Yang, W.L. Hung and E.S. Lee(2011). Similarity, inclusion and entropy measures between type-2 fuzzy sets based on the Sugeno integral.Mathematical and Computer Modelling.
  24. W.L. Hung, M.S. Yang, E.S. Lee(2010). Cell Formation Using Fuzzy Relational Clustering Algorithm. Mathematical and Computer Modelling.
  25. I.G. Jiang, L.C. Yeh, Y.C. Chang, and W.L. Hung (2010). On the Fundamental Mass-Period Functions of Extrasolar Planets. Astrophysical Journal Supplement Series 186, 48-62. (SCI, IF=13.990)
  26. W.L. Hung, M.S. Yang, E. Stanley Lee (2010). A robust clustering procedure for fuzzy data. Computers and Mathematics with Applications , Vol. 60, p.151-165. (SCI).
  27. Y.C. Chang, C.T. Liu and W.L. Hung (2009). Optimization of Process Parameters using Weighted Convex Loss Functions. European Journal of Operational Research 196, 752-763.（SCI）
  28. I.G. Jiang, L.C. Yeh, Y.C. Chang, and W.L. Hung (2009). Construction of coupled period-mass functions in extrasolar planets through the nonparametric approach. The Astronomical Journal, 137, 329-336.（SCI）
  29. S.C. Chuang, W.L. Hung and H.C. Fu (2008). Weighted bootstrap for neural model selection. International Journal of Systems Sciemce 39(5), 557-562. (SCI)
  30. W.L. Hung, M.S. Yang and D.H. Chen (2008). Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation. Pattern Recognition Letters 29, 1317-1325. ( SCI)
  31. W.L. Hung and M.S. Yang (2008). On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition. Information Sciences 178, 1641-1650. (SCI)
  32. W.L. Hung, Y.C. Chang and S.C. Chuang (2008). Fuzzy classification maximum likelihood algorithms for mixed-Weibull distributions. Soft Computing 12, 1013-1018. (SCI)
  33. W.L. Hung and M.S. Yang (2008). On similarity measures between intuitionistic fuzzy sets. International Journal of Intelligent Systems 23, 364-383. (SCI)
  34. Y.C. Chang, C.W. Chang and W.L. Hung (2008). Determining the Optimal Process Means under Mixture Normal Distributions. Quality & Quantity 42, 711-718
  35. I.G. Jiang, L.C. Yeh, Y.C. Yen and W.L. Hung (2007). On the mass-period distributions and correlations of extrasolar planets. The Astronomical Journal 134, 2061-2066. (SCI)
  36. W.L. Hung and M.S. Yang (2007). Similarity measures of intuitionistic fuzzy sets based on L_p metric. International Journal of Approximate Reasoning 46, 120-136. (SCI)
  37. W.L. Hung and J.W. Wu (2007) Multiple and partial correlation coefficients of fuzzy sets. Quality & Quantity 41, 331-340. (SSCI)
  38. Y.C. Yen, W.L. Hung (2007) LINEX loss functions with applications to determining the optimum process parameters, Quality & Quantity 41, 291-301. (SSCI)
  39. M.S. Yang, W.L. Hung and C.H. Chang (2006). A penalized fuzzy clustering algorithm WSEAS Trans. on Computers Research, vol. 1, no. 2, pp. 83-88.
  40. W.L. Hung and M.S. Yang (2006). An omission approach for detecting outliers in fuzzy regression models. Fuzzy Sets and Systems, 157, 3109-3122. (SCI)
  41. M.S. Yang, W.L. Hung and T.I. Chung (2006) Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix. Lecture Notes in Computer Science 4179, 654-665.
  42. I.G. Jiang, L.C. Yeh, W.L. Hung and M.S. Yang (2006) Data analysis on the extra-solar planets using robust clustering. Monthly Notices of the Royal Astronomical Society 370(3), 1379-1392. (SCI)
  43. W.L. Hung, Y.C. Chang (2006) A modified fuzzy c-means algorithm for differentiation in MRI of ophthalmology. LNAI 3885, 340-350.
  44. W.L. Hung and M.S. Yang (2006). Fuzzy entropy on intuitionistic fuzzy sets, International Journal of Intelligent Systems 21, 443-451. (SCI)
  45. W.L. Hung, M.S. Yang and D.H Chen (2006) Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation, Pattern Recognition Letters 27, 424-438. (SCI)
  46. M.S. Yang, W.L. Hung and F.J. Cheng (2006) Mixed-variable fuzzy clustering approach to part family and machine cell formation for GT applications, International Journal of Production Economics. 103, 185-198. (SCI)
  47. W.L. Hung (2006). Weighted Bootstrap Method for Fuzzy Data. Soft Computing 10(2), 140-143 (SCI)
  48. M.S. Yang, W.L. Hung and S.J. Chang-Chien (2005). On a similarity measure between LR-type fuzzy number and its application to database acquisition, International Journal of Intelligent Systems. 20, 1001-1016. (SCI)
  49. W.L. Hung and J.W. Wu (2005). A Note on Determining the Number of Outliers in a Normal Sample with Unequal Variances by Least Squares Procedure. Applied Mathematics and Computation 162, 1007-1012. (SCI)
  50. W.L. Hung and M.S. Yang (2005). Fuzzy Clustering on LR-type Fuzzy Numbers with an Application in Taiwanese Tea Evaluation. Fuzzy Sets and Systems 150, 561-577. (SCI)
  51. Y.C. Yen and W.L. Hung (2005). Software Release Policies on a Short-Noise Process Model. Applied Mathematics and Computation 171, 746-759. (SCI)
  52. J.W. Wu and W.L. Hung and C.H. Tsai (2004). Estimation of Parameters of the Gompertz Distribution Using the Least Squares Method. Applied Mathematics and Computation 158, 133-147. (SCI)
  53. W.L. Hung, J.S. Lee and C.D. Fuh (2004). Fuzzy Clustering on Intuitionistic Fuzzy Relations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(4), 513-529. (SCI)
  54. W.L. Hung and Y.C. Liu (2004). Estimation of Weibull Parameters Using a Fuzzy Least-Squares Method. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(5), 701-711. (SCI)
  55. J.W. Wu, W.L. Hung and C.Y. Chen (2004). Approximate MLE of the Scale Parameter of the Truncated Rayleigh Distribution under the First Failure Censored Data. Journal of Information & Optimization Sciences 25(2), 221-235. (EI)
  56. W.L. Hung and M.S. Yang (2004). Similarity Measures between Type-2 Fuzzy Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(6), 827-841. (SCI)
  57. W.L. Hung and M.S. Yang (2004). Similarity Measures of Intuitionistic Fuzzy Sets Based on Hausdorff Distance. Pattern Recognition Letters 25, 1603-1611. (SCI)
  58. W.L. Hung (2003). A Note on Entropy of Intuitionistic Fuzzy Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(5), 627-633. (SCI)
  59. J.W. Wu, W.L. Hung and C.H. Tsai (2003). Estimation of the Parameters of the Gompertz Distribution under the First Failure-Censored Sampling Plan. Statistics 37(6), 517-525. (SCI)
  60. W.L. Hung and J.W. Wu (2002). Correlation of Intuitionistic Fuzzy Sets by Centroid Method. Information Sciences 144, 219-225. (SCI)
  61. W.L. Hung (2002). Partial Correlation Coefficients of Intuitionistic Fuzzy Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(1), 105-112. (SCI)
  62. W.L. Hung and J.W. Wu (2002). Correlation of Fuzzy Numbers by α-Cut Method. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(6), 725-735. (SCI)
  63. W.L. Hung (2001). Bootstrap Method for Some Estimators Based on Fuzzy Data. Fuzzy Sets and Systems 119, 337-341. (SCI)
  64. A.G. Pakes, W.L. Hung and J.W. Wu (2001). Criteria for the Unique Determination of Probability Distributions by Moments. Australian & New Zealand Journal of Statistics 43(1), 101-111. (SCI)
  65. W.L. Hung (2001). Weighted Least-Squares Estimation of the Shape Parameter of the Weibull Distribution. Quality and Reliability Engineering International 17, 467-469. (SCI)
  66. W.L. Hung (2001). Using Statistical Viewpoint in Developing Correlation of Intuitionistic Fuzzy Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(4), 509-516. (SCI)
  67. W.L. Hung and J.W. Wu (2001). A Note on the Correlation of Fuzzy Numbers by Expected Interval. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(4), 517-523. (SCI)
  68. J.W. Wu, W.L. Hung and H.M. Lee (2000). Some Moments and Limit Behaviors of the Generalized Logistic Distribution with Applications. Proc. Natl. Sci. Counc. ROC(A) 24(1), 7-14. (EI)
  69. C.D. Fuh, T.H. Fan and W.L. Hung (2000). Balanced Importance Resampling for Markov Chains. Journal of Statistical Planning and Inference 83, 221-241. (SCI)
  70. W.L. Hung (2000). Bayesian Bootstrap Clones for Censored Markov Chains. Biometrical Journal 42(4), 501-510. (SCI)
  71. W.L. Hung and J.W. Wu (1999). Some Properties of the Extended Generalized Logistic-Gamma Distribution with Applications. International Journal of Information and Management Sciences 10(4), 41-58. (EI)
  72. J.W. Wu, R. Yu and W.L. Hung (1999). A Characterization of Certain Discrete Exponential Families Based on Conditional Expectation. Far East Journal of Mathematical Sciences 1(6), 837-847.
  73. C.D. Fuh, T.H. Fan and W.L. Hung (1998). Importance Resampling for Markov Chains. Communication in Statistics-Stochastic Models 5(14), 1007-1026. (SCI)
  74. C.D. Fuh and W.L. Hung (1998). Bootstrap Method for Censored Markov Chains. Proc. Natl. Sci. Counc. ROC(A) Vol. 22, No. 1, 1-17. (EI)
  75. T.H. Fan and W.L. Hung (1997). Balanced Resampling for Bootstrapping Finite State Markov Chains. Communication in Statistics-Simulation and Computation 26 (4), 1465-1475. (SCI)

 【研討會論文】

 

 

  1. W.L. Hung and S.C. Chuang (2012).Balanced resampling for neural model selection Proceedings of the Fifth International Conference on Natural Computation 597-601.
  2. H.S.Tsai1, W.L. Hung and M.S. Yang (2012). A Robust Kernel-Based Fuzzy C-Means Algorithm by Incorporating Suppressed and Magnified Membership for MRI Image Segmentation. AICI 2012, LNAI.
  3. W.L. Hung, M.S. Yang (2011). Exponential-Distance Weighted K-Means Algorithm with Spatial Constraints for Color Image Segmentation. IEEE Proceedings of 2011 International Conference on Multimedia and Signal Processing.
  4. De-Hua Chen, W.L. Hung, M.S. Yang (2010). A Batch Version of the SOM for Symbolic Data. Proceedings of the Sixth International Conference on Natural Computatio.
  5. W.L. Hung, M.S. Yang, J. Yu and C.M. Hwang (2010). Feature-weighted mountain method with its applications to color image segmentation. Lecture Notes in Artificial Intelligence.
  6. W.L. Hung, M.S. Yang and D.H. Chen (2009). Segmentation in MRI of  ophthalmology using a robust-type clustering algorithm. 2009 IEEE International Conference on Fuzzy Systems 427-430. (EI)
  7. W.L. Hung, M.S. Yang and D.H. Chen (2008). Variation approach to feature-weight selection and application to fuzzy clustering. 2008 IEEE International Conference on Fuzzy Systems 276-279.
  8. Y.H. Lin, W.L. Hung and S.C. Yu (2007). Concept Structure Analysis Method Based on Integration of FLMP and ISM with Application in Equality Axiom Concepts. Proceedings of the 8th WSEAS International Conference on Fuzzy Systems, 19-21.
  9. J.M. Yih, Y.H. Lin and W.L. Hung (2007). Fuzzy Approach Method for Concept Structure Analysis based on FLMP and ISM with Application in Cognition Diagnosis of Linear Algebra. Proceedings of the 12th International Conference on Fuzzy Theory & Technology.
  10. Y.H. Lin, W.L. Hung (2007). Robust Clustering on Rule Usage of Probability Reasoning with Raw Rule Score. Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery Vol. 2, p.251-255.
  11. W.L. Hung, M.S. Yang and D.H Chen (2007). Color Image Segmentation Using Cauchy-Type Fuzzy c-Means Algorithm. Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery Vol. 2, p.230-234.
  12. Y.H. Lin and W.L. Hung (2007). Robust Clustering on Rules Usage Classification of OJT with Raw Rule Score. Proceedings of the 2th International Conference on Innovative Computing, Information and Control.
  13. W.L. Hung, J.S. Lee and C.D. Fuh (2003). A Fuzzy Least-Squares Method for the 2-Parameter Weibull Distribution。中華民國第五屆可靠度與維護度技術研討會論文集，台中市逢甲大學。
  14. W.L. Hung (2001). A Note on the Correlation of Fuzzy Numbers by Expected Interval。第三屆海峽兩岸統計與機率學術研討會暨2001中華機率統計學會學術研討會，台北市中央研究院。
  15. W.L. Hung (2000). A Note on the Correlation of Fuzzy Numbers by α-Cut。2000年機率統計學術研討會暨中華機率統計學會年會論文集，台中市逢甲大學。
  16. W.L. Hung (2000). Correlation of Intuitionistic Fuzzy Sets by Centroid Method。中華民國八十九年統計學術研討會暨第九屆南區統計研討會論文集，台南市國立成功大學。
  17. W.L. Hung (1999). The Moment Problem for Mixture Generalized Gamma Distribution。第八屆南區統計研討會論文集，鳳山陸軍官校。
  18. W.L. Hung (1999). Bootstrap Method for Some Estimators Based on Fuzzy Data。中華民國八十八年統計學術研討會論文集，中壢市國立中央大學。

 
國科會計畫與其他計畫
  1. W.L. Hung (2011)，快速學習向量量化演算法及其在核磁共振影像分割的應用，國科會計畫編號NSC100-2118-M-134-001
  2. W.L. Hung (2010)，方向資料的聚類分析之研究，國科會計畫編號NSC99-2118- M-134-001
  3. W.L. Hung (2010)，模糊取向之廣義概念詮釋結構模式的認知診斷與補救教學網路系統：數學學習領域的縱貫研究(I)
  4. W.L. Hung (2009)，加權 k-均數演算法及其在彩色影像分割的應用，國科會計畫編號NSC98-2811-M-134-001
  5. W.L. Hung (2008)，關聯資料的聚類分析及其在單元形成的應用，國科會計畫編號NSC97-2118-M-134-002
  6. W.L. Hung (2007)，應用刑罰模糊 c-均數演算法偵測眼球腫瘤成果報告，國科會計畫編號NSC95-2221-E-134-001
  7. W.L. Hung (2005)，加權模糊群集演算法及其在彩色影像分割的應用，國科會計畫編號NSC 94-2213-E-134-001
  8. W.L. Hung (2004)，混合刑常態分配的參數估計及其在核磁共振影像上的應用，國科會計畫編號NSC 93-2213-E-134-001
  9. W.L. Hung (2003)，「LR型模糊數的模糊群集分析」，國科會計畫編號NSC92-2213-E-134-001
  10. W.L Hung (2002)，「使用模糊群集演算法估計混合韋伯分配之參數」，國科會計畫編號NSC91-2213-E-134-001
  11. W.L. Hung (2001)，「以J發散統計量衡量列聯表的條件對稱性」，國科會計畫編號NSC90-2118-M-134-001
  12. W.L. Hung (2000)，「使用J發散統計量衡量列聯表的對稱性」，國科會計畫編號NSC89-2118-M-034-002
  13. W.L. Hung (2000)，「廣義 GAMMA分配的動差問題」，國科會計畫編號NSC89-2118-M-034-001
  14. W.L. Hung (1999)，「模糊資料的自助法」，國科會計畫編號NSC88-2118-M-034-001
  15. W.L. Hung (1998)，「關於高維度重點抽樣的研究」，國科會計畫編號NSC87-2118-M-034-002

 

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