List of Publications by Dr. Man-Wai Mak

Sorted by Research Areas
Books    Editorials   Book Chapters    Journal Papers   Conference Papers    Technical Reports


Books

  1. S.B. Wan and M.W. Mak, Machine Learning for Protein Subcellular Localization Prediction,  De Gruyter, 2015. (Preface and Table of Contents)

  2. S.Y. Kung, M.W. Mak and S.H. Lin, Biometric Authentication: A Machine Learning Approach, Prentice Hall, 2005. (Preface and Table of Contents)

Editorials

  1. Guest Editorial, Journal of Signal Processing Systems for Signal, Image, and Video Technology, special issue on Advances in Machine Learning for Speech Processing, Feb. 2016, DOI
    10.1007/s11265-016-1101-1

  2. Guest Editorial, Journal of Signal Processing Systems for Signal, Image, and Video Technology, special issue on Machine Learning for Microarray and Sequence Analysis, vol. 50, No. 3, March 2008, pp. 263-265. (jvlsi08.pdf)
     
  3. Guest Editorial, International Journal of Computational Intelligence Research, special issue for ICONIP'06, vol.3, no.1, 2007. (ijcir07.pdf)

Book Chapters

  1. S.Y. Kung and M.W. Mak, "Feature Selection for Genomic and Proteomic Data Mining", in Yanqing Zhang and Jagath C. Rajapakse, editors, Machine Learning in Bioinformatics, John Wiley & Sons, 2008, pp. 1-45. 
     
  2. M.C. Cheung, M.W. Mak and S.Y. Kung, "Probabilistic Fusion of Sorted Score Sequences for Robust Speaker Verification," in Y.P. Tan, K.H. Yap and L. Wang, editors, Intelligent Multimedia Processing with Soft Computing, Springer, pp. 369-381, 2005.
     
  3. K.W. Ku and M.W. Mak, "Knowledge Incorporation Through Lifetime Learning," to appear in Yaochu Jin, editor, Knowledge Incorporation in Evolutionary Computation, Springer, pp. 359-384, 2004.
     
  4. K.W. Ku, M.W. Mak and W.C. Siu, "Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results". In S. Tsutsui and A. Ghosh, editors,  Advances in Evolutionary Computing, Springer, 2003, pp. 615-642. (ch24.ps)
Journal Papers
  1. N. Li, M.W. Mak, W.W. Lin and J.T. Chien, "Discriminative Subspace Modeling of SNR and Duration Variabilities for Robust Speaker Verification", Computer Speech and Language, vol. 45, pp. 87-103, 2017. Paper  Derivation of Eq. 13

  2. N. Li, M.W. Mak, and J.T. Chien, "DNN-driven Mixture of PLDA for Robust Speaker Verification", IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 25, no. 6, pp. 1371-1383, June 2017, Paper

  3. W.W. Lin, M.W. Mak, and J.T. Chien, "Fast Scoring for PLDA with Uncertainty Propagation via I-vector Grouping", Computer Speech and Language, vol. 45, pp. 503-515, 2017. Paper  Supplementary Materials

  4. S.B. Wan, M.W. Mak and S.Y. Kung, "Gram-LocEN: Interpretable prediction of subcellular multi-localization of Gram-positive and Gram-negative bacterial proteins", Chemometrics and Intelligent Laboratory Systems, Vol. 162, March 2017, pp. 1-9. Gram-LocEN Server

  5. S.B. Wan, M.W. Mak and S.Y. Kung, "Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 14, no. 1, pp. 212-224, Jan. 2017, EnTrans-Cho

  6. S.B. Wan, M.W. Mak and S.Y. Kung, "FUEL-mLoc: Feature-Unified Prediction and Explanation of Multi-Localization of Cellular Proteins in Multiple Organisms", Bioinformatics, 2016, doi: 10.1093/bioinformatics/btw717. FUEL-mLoc

  7. S.B. Wan, M.W. Mak and S.Y. Kung, "Ensemble linear neighborhood propagation for predicting subchloroplast localization of multi-location proteins", Journal of of Proteome Research, Vol. 15, No. 12, Oct. 2016, pp. 4755-4762. LNPChloServer

  8. S.B. Wan, M.W. Mak and S.Y. Kung, "Benchmark data for identifying multi-functional types of membrane proteins", Data in Brief, vol. 8, September 2016, pp. 105–107.

  9. S.B. Wan, M.W. Mak and S.Y. Kung, "Mem-ADSVM: A Two-Layer Multi-Label Predictor for Identifying Multi-Functional Types of Membrane Proteins", J. of Theoretical Biology, 2016, vol. 398, pp. 32–42, June 2016. MemADSVMServer

  10. S.B. Wan, M.W. Mak and S.Y. Kung, "Sparse Regressions for Predicting and Interpreting Subcellular Localization of Multi-label Proteins", BMC Bioinformatics, vol. 17:97, DOI 10.1186/s12859-016-0940-x, Feb. 2016, SpaPredictorServer

  11. W. Rao and M.W. Mak, "Sparse Kernel Machines with Empirical Kernel Maps for PLDA Speaker Verification", Computer Speech & Language, vol. 38, pp. 104-121, Jan. 2016. Paper

  12. M.W. Mak, X.M. Pang and J.T. Chien, "Mixture of PLDA for Noise Robust I-Vector Speaker Verification", IEEE/ACM Trans. on Audio Speech and Language Processing, vol. 24, No. 1, pp. 130-142, Jan. 2016.  Paper Resources and Matlab codes

  13. S.B. Wan, M.W. Mak and S.Y. Kung, "Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 14, no. 4, pp. 706-718, July 2016, Paper Mem-mEN Web Server

  14. S.B. Wan and M.W. Mak, "Predicting Subcellular Localization of Multi-Location Proteins by Improving Support Vector Machines with an Adaptive-Decision Scheme", International Journal of Machine Learning and Cybernetics, Special Issue on Semantic Data Analytics and Bioinformatics, Nov. 2015. doi:10.1007/s13042-015-0460-4 Paper

  15. X.M. Pang and M.W. Mak, "Noise Robust Speaker Verification via the Fusion of SNR-Independent and SNR-Dependent PLDA", International Journal of Speech Technology, vol. 18, Issue 4, Dec. 2015, pp 633-648. Paper

  16. S.B. Wan, M.W. Mak and S.Y. Kung, "mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor", J. of Theoretical Biology, vol. 382, Oct 2015, pp. 223–234.

  17. Na Li and M.W. Mak, "SNR-Invariant PLDA Modeling in Nonparametric Subspace for Robust Speaker Verification", IEEE/ACM Trans. on Audio Speech and Language Processing, vol. 23, no. 10, pp. 1648-1659, Oct. 2015. Paper Supplementary Materials

  18. Baiying Lei and M.W. Mak, "Robust scream sound detection via sound event partitioning", Multimedia Tools and Applications, March 2015, pp. 1-19, DOI: 10.1007/s11042-015-2555-z.

  19. S.B. Wan, M.W. Mak, and S.Y. Kung, "mPLR-Loc: An Adaptive-decision Multi-label Classifier Based on Penalized Logistic Regression for Protein Subcellular Localization Prediction", Analytical Biochemistry: Methods in the Biological Sciences, Vol. 473, March 2015, Pages 14-27, Paper, mPLR-Loc Web Server

  20. S.B. Wan, M.W. Mak, and S.Y. Kung, "R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization", J. of Theoretical Biology, vol. 360, pp. 34–45, 2014. Paper R3P-Loc Web Server

  21. S.B. Wan, M.W. Mak, and S.Y. Kung, "HybridGO-Loc: Mining Hybrid Features on Gene Ontology for Predicting Subcellular Localization of Multi-Location Proteins", PLoS ONE, vol. 9, no. 3, March 2014. Paper HybridGO-Loc Web Server

  22. M.W. Mak and H.B. Yu, " A Study of Voice Activity Detection Techniques for NIST Speaker Recognition Evaluations", Computer Speech & Language, vol. 28, No. 1, Jan 2014, pp. 295-313. Paper  Web Resources

  23. S.B. Wan, M. Mak and S. Kung, "Semantic Similarity over Gene Ontology for Multi-Label Protein Subcellular Localization," Engineering, Vol. 5 No. 10B, 2013, pp. 68-72. doi:10.4236/eng.2013.510B014. Paper Presentation File

  24. S.B. Wan, M.W. Mak, and S.Y. Kung, "GOASVM: A Subcellular Location Predictor by Incorporating Term-Frequency Gene Ontology into the General Form of Chou’s Pseudo-Amino Acid Composition", J. of Theoretical Biology, vol. 323 pp. 40–48 2013. Paper  GOASVM Web Server
     
  25. W. Rao and M.W. Mak, "Boosting the Performance of I-Vector Based Speaker Verification via Utterance Partitioning", IEEE Trans. on Audio, Speech and Language Processing, vol. 21, no. 5, pp. 1012-1022, May 2013. Paper
     
  26. S.B. Wan, M.W. Mak, and S.Y. Kung, "mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines", BMC Bioinformatics, 2012, 13:290.  mGOASVM Web Server Paper
     
  27. M.W. Mak, W. Wang, and S.Y. Kung, "Fast Subcellular Localization by Cascaded Fusion of Signal-Based and Homology-Based Methods", Proteome Science, 9(Suppl 1):S8. Data (before Blustclust) Paper Presentation

  28. S.Y. Kung, Y.H. Luo, and M.W. Mak, "Feature Selection for Genomic Signal Processing: Unsupervised, Supervised, and Self-Supervised Scenarios, Journal of Signal Processing Systems for Signal, Image, and Video Technology, Vol. 61, Issue 1, Special Issue, pp. 3–20, Oct. 2010.

  29. S.Y. Kung and M.W. Mak, "PDA-SVM Hybrid: A Unified Model for Kernel-Based Supervised Classification, Journal of Signal Processing Systems for Signal, Image, and Video Technology, May 2011.
     
  30. S.X. Zhang and M.W. Mak, "Optimized Discriminative Kernel for SVM Scoring and its Application to Speaker Verification", IEEE Trans. on Neural Networks, vol. 22, no. 2, Feb. 2011. (tnn2010.pdf)
     
  31. M.W. Mak and W. Rao, "Utterance Partitioning with Acoustic Vector Resampling for GMM-SVM Speaker Verification", Speech Communication, vol. 53, no. 1, Jan. 2011, pp. 119-130. (sc2010.pdf) (presentation)
     
  32. S.X. Zhang and M.W. Mak, "A New Adaptation Approach to High-Level Speaker-Model Creation in Speaker Verification", Speech Communication, vol. 51, no. 6, pp.  534-550, 2009. (sc2009.pdf) 
     
  33. S.Y. Kung and M.W. Mak, "Feature Selection for Self-Supervised Classification with Applications to Microarray and Sequence Data", IEEE Journal of Selected Topics in Signal Processing, Special Issue on Genomic and Proteomic Signal Processing, vol. 2, No. 3, pp. 297-309, 2008.
     
  34. M.W. Mak and S.Y. Kung, "Fusion of Feature Selection Methods for Pairwise Scoring SVM", Neurocomputing, vol. 71, no. 16-18, pp. 3104-3113, Oct. 2008. (MakKung06.pdf)
     
  35. M.W. Mak, J. Guo, and S.Y. Kung, "PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM", IEEE/ACM Trans. on Computational Biology and Bioinformatics,  vol. 5, No. 3, pp. 416 - 422, 2008. (tcbb.pdf) (Presentation) (Supplementary Materials)
     
  36. S.X. Zhang, M.W. Mak and Helen M. Meng, "Speaker Verification via High-Level Feature Based Phonetic-Class Pronunciation Modeling", IEEE Trans. on Computers, Vol. 56, No. 9, pp. 1189-1198, Sept. 2007. (tc07.pdf)
     
  37. M.W. Mak, K.K. Yiu and S.Y. Kung, "Probabilistic Feature-Based Transformation for Speaker Verification over Telephone Networks", Neurocomputing, special issue on Neural Networks for Speech and Audio Processing, vol. 71, pp. 137–146, 2007. (ncomp07.pdf)
     
  38. K.K. Yiu, M.W. Mak and S.Y. Kung, "Environment Adaptation for Robust Speaker Verification by Cascading Maximum Likelihood Linear Regression and Reinforced Learning", Computer Speech and Language, vol. 21, pp. 231-246, 2007. (csl06.pdf)
     
  39. S. Y. Kung and M. W. Mak. Machine Learning for Multi-Modality Genomic Signal Processing, IEEE Signal Processing Magazine, vol. 23, no. 3, May 2006, pp. 117-121. (ieeespm06.pdf)
     
  40. S.Y. Kung, M. W. Mak, and I. Tagkopoulos. Symmetric and asymmetric multi-modality biclustering analysis for microarray data matrix. J. of Bioinformatics and Computational Biology, 4(3), June 2006, pp. 275-298. (In the special CSB’05 issue). (jbcb06.pdf)
     
  41. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Adaptive Articulatory Feature-Based Conditional Pronunciation Modeling for Speaker Verification, Speech Communications, Volume 48, Issue 1, January 2006, Pages 71-84. (spcomm05.pdf)
     
  42. K.K. Yiu, M.W. Mak, M.C. Cheung, and S.Y. Kung, "Blind Stochastic Feature Transformation for Channel Robust Speaker Verification, " J. of VLSI Signal Processing, Vol. 42, Issue 2, pp. 117-126, 2006. (jvlsisp04.pdf) (BSFT and BBSFT Software)
     
  43. M.W. Mak, C.H. Sit, and S.Y. Kung, "Extraction of Speaker Features from Different Stages of DSR Front-ends for Distributed Speaker Verification," International Journal of Speech Technology, vol. 8, pp. 67-77, 2005. (ijst04.pdf)
     
  44. M.W. Mak, C.L. Tsang, and S.Y. Kung, "Stochastic Feature Transformation with Divergence-Based Out-of-Handset Rejection for Robust Speaker Verification," EURASIP J. on Applied Signal Processing, vol. 2004, No. 4, April 2004, pp. 452-465. (jasp03.pdf)
     
  45. K.K. Yiu, M.W. Mak and S.Y. Kung. "A Comparative Study on Kernel-Based Probabilistic Neural Networks for Speaker Verification", International Journal of Neural Systems, Vol. 12, No. 5, 381-391, 2002. (ijons2.pdf)
     
  46. Zhang, W.D., He, M.X. and Mak, M.W. “An RBF networks approach for cloud detection,” Journal of Ocean University of Qingdao, vol. 31, pp. 586-592, July, 2001.

  47. M.W. Mak and S.Y. Kung. "Estimation of Elliptical Basis Function Parameters by the EM Algorithms with Application to Speaker Verification," IEEE Trans. on Neural Networks, Vol. 11, No. 4, pp. 961-969, July 2000. (tnna069.ps)
  48.  
  49. K.W. Ku, M.W. Mak and W.C. Siu. "A Study of the Lamarckian Evolution of Recurrent Neural Networks," IEEE Trans. on Evolutionary Computation, Vol. 4, No. 1, pp. 31-42, April 2000. (ieeetec.ps)
  50.  
  51. K.K. Yiu, M.W. Mak and C.K. Li, "Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification: A Comparative Study," Neural Computing and Applications, Vol. 8, pp. 235-245, 1999. (pdbnn.ps)
  52.  
  53. X. Li, M.W. Mak and C.K. Li, "Determining the Optimal Number of Clusters by an Extended RPCL Algorithm," International Journal of Advanced Computational Intelligence, Vol. 3, No. 6, pp. 467-473, Dec. 1999. (erpcl.ps) 
  54.  
  55. K.W. Ku, M.W. Mak and W.C. Siu. "Adding Learning to Cellular Genetic Algorithms for Training Recurrent Neural Networks," IEEE Trans. on Neural Networks, Vol. 10, No. 2, pp. 239-252, March 1999. (cgarnn.ps) 
  56.  
  57. W.F. Chang and M.W. Mak. "A Conjugate Gradient Learning Algorithm for Recurrent Neural Networks," Neurocomputing, Vol. 24, pp. 173-189, Feb. 1999. (cgrl.ps) 
  58.  
  59. M.W. Mak, K.W. Ku and Y.L. Lu. "On the Improvement of the Real Time Recurrent Learning Algorithm," Neurocomputing, Vol. 24, pp. 13-36, Feb. 1999. (imprtrl.ps) 
  60.  
  61. Y.K. Wong, A.B. Rad, L. Yan and M.W. Mak. "A Heating Process Controller by On-line Training Neural Network", HKIE Transactions, Vol. 3, No. 1, pp. 47-50, June 1996. 
  62.  
  63. M.W. Mak, "A Learning Algorithm for Recurrent Radial Basis Function Networks," Neural Processing Letters, Vol. 2, No. 1, pp. 27-31, January 1995. 
  64.  
  65. M.W. Mak and W.G. Allen, "A Lip-Tracking System Based on Morphological Processing and Block Matching Techniques," Image Communication, Vol. 6, No. 4, pp. 335-48, August 1994. 
  66.  
  67. M.W. Mak and W.G. Allen, "Lip-Motion Analysis for Speech Segmentation in Noise," Speech Communication, Vol. 14, No. 3, pp. 279-96, June 1994. 
  68.  
  69. M.W. Mak, W.G. Allen and G.G. Sexton, "Speaker Identification using Multi Layer Perceptrons and Radial Basis Functions Networks," Neurocomputing, Vol. 6, No. 1, pp. 99-118, February 1994. 
  70.  
  71. M.W. Mak and W.G. Allen, "Spectral Transitivity Functions for Speech Segmentation in Noise," Acoustic Letters, Vol. 16, No. 10, pp. 228-34, April 1993. 
  72.  
  73. M.W. Mak, W.G. Allen and G.G. Sexton, "Comparing Multi-Layer Perceptrons and Radial Basis Function Networks in Speaker Identifications," Journal of Microcomputer Applications, Vol. 16, pp. 147-59, April 1993.

 

Conference Papers

  1. K. A. Lee, V. Hautamaki, T. Kinnunen, A. Larcher, C. Zhang, A. Nautsch, T. Stafylakis, G. Liu, M. Rouvier, W. Rao, F. Alegre, J. Ma, M. W. Mak, A. K. Sarkar, H. Delgado, R. Saeidi, H. Aronowitz, A. Sizov1, H. Sun, G. Wang, T. H. Nguyen1, B. Ma, V. Vestman, M. Sahidullah, M. Halonen, A. Kanervisto, G. Le Lan, F. Bahmaninezhad, S. Isadskiy, C. Rathgeb, C. Busch, G. Tzimiropoulos, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin, T. Zhao, P.M. Bousquet, M. Ajili, W. B. Kheder, D. Matrouf, Z. H. Lim, C. Xu, H. Xu, X. Xiao, E. S. Chng, B. Fauve, K. Sriskandaraja,
    V. Sethu, W. W. Lin, D. A. L. Thomsen, Z.-H. Tan, M. Todisco, N. Evans, H. Li, J. H. L. Hansen, J.F. Bonastre, E. Ambikairajah, "The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016", Interspeech'17, 2017.

  2. Zhili Tan and M.W. Mak, "I-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification", Interspeech'17, 2017. Paper Presentation File

  3. Sean shensheng Xu, Man-Wai Mak and Chi-Chung Cheung, "Deep Neural Networks versus Support Vector Machines for ECG Arrhythmia Classification", The 7th International IEEE Workshop on
    Multimedia Services and Technologies for E-health (MUST-EH 2017), 2017. Paper Presentation File

  4. N. Li and M.W. Mak, and T.J. Chien, "Deep Neural Network Driven Mixture of PLDA for Robust I-Vector Speaker Verification", IEEE SLT 2016 Workshop on Spoken Language Technology, San Diego, Dec. 2016, pp. 186-191.   Paper Presentation File

  5. M.W. Mak and W.W. Lin, "PolyU Submission of NIST 2016 Speaker Recognition Evaluation", NIST 2016 SRE Workshop, San Diego, Dec. 2016. Paper Poster

  6. Zhili Tan, Yingke Zhu, M.W. Mak and B. Mak, "Senone I-Vectors for Robust Speaker Verification", Int. Sym. on Chinese Spoken Language Processing (ISCSLP'16), Tianjin, Oct. 2016. Paper

  7. W.W. Lin and M.W. Mak, "Fast Scoring for PLDA with Uncertainty Propagation", Odyssey: The Speaker and Language Recognition Workshop, pp. 31-38, June, 2016, Bilbao, Spain, Paper Presentation File Video of presentation from Superlectures

  8. N. Li and M.W. Mak, "SNR-Invariant PLDA with Multiple Speaker Subspaces", ICASSP'16, March, 2016, pp. 5565-5569, March 2016, Shanghai Paper Presentation File

  9. M.W. Mak, "Fast Scoring for Mixture of PLDA in I-Vector/PLDA Speaker Verification", Asia-Pacific Signal and Information Processing Association, Annual Summit and Conference (APSIPA ASC), pp. 587-593, Dec. 2015, Hong Kong. Paper Presentation File

  10. Zhili Tan and M.W. Mak, "Bottleneck Features from SNR-Adaptive Denoising Deep Classifier for Speaker Identification", Asia-Pacific Signal and Information Processing Association, Annual Summit and Conference (APSIPA ASC), pp. 1035-1040, Dec. 2015, Hong Kong. Paper Presentation File

  11. N. Li and M.W. Mak, "SNR-Invariant PLDA Modeling for Robust Speaker Verification", Interspeech'15, Sept. 2015, Dresden, Germany, pp. 2317 - 2321. Paper Presentation File Supplementary Materials

  12. W. Rao, M.W. Mak and K.A. Lee, "Normalization of Total Variability Matrix for I-Vector/PLDA Speaker Verification", ICASSP'2015, Brisbane, 2015, pp. 4180 - 4184. Paper Presentation File

  13. X.M. Pang and M.W. Mak, "Fusion of SNR-Dependent PLDA Models for Noise Robust Speaker Verification",  Int. Sym. on Chinese Spoken Language Processing (ISCSLP14), Sept. 2014, Singapore, pp. 64-68. Paper Presentation File

  14. W. Rao and M.W. Mak, "Relevance Vector Machines with Empirical Likelihood-Ratio Kernels for PLDA Speaker Verification, Int. Sym. on Chinese Spoken Language Processing (ISCSLP14), Sept. 2014, Singapore, pp. 64-68. Paper Presentation File

  15. M.W. Mak, "SNR-Dependent Mixture of PLDA for Noise Robust Speaker Verification", Interspeech 2014, Sept. 2014, Singapore, pp. 1855-1859. Paper Presentation File

  16. Jinghua Zhong, Weiwu Jiang, Wei Rao, Man-Wai Mak, and Helen Meng, "PLDA Modeling in the Fishervoice Subspace for Speaker Verification", Interspeech2014, Sept. 2014, Singapore, pp. 1130-1134.

  17. B.Y. Lei and M.W. Mak, "Sound-Event Partitioning and Feature Normalization for Robust Sound-Event Detection", International Conference on Digital Signal Processing, pp.389-394, Aug. 2014, Paper Presentation File

  18. W. Rao and M.W. Mak, "Construction of Discriminative Kernels from Known and Unknown Non-targets for PLDA-SVM Scoring", ICASSP'2014, pp. 4040-4044, Florence, 2014. Paper Presentation File

  19. S.B. Wan, M.W. Mak, B. Zhang, Y. Wang and S.Y. Kung, "Ensemble Random Projection for Multi-label Classification with Application to Protein Subcellular Localization", ICASSP'2014, pp. 6040-6044, Florence, 2014. Paper

  20. S.B. Wan, M.W. Mak, B. Zhang, Y. Wang and S.Y. Kung, An Ensemble Classifier with Random Projection for Predicting Multi-label Protein Subcellular Localization", Workshop on Integrative Data Analysis in System Biology, IEEE Int. Conf. on Bioinformatics and Biomedicine (BIBM'2013), Dec. 2013, Shanghai, pp. 35-42. Paper Presentation File

  21. M.W. Mak and W. Rao, "Likelihood-Ratio Empirical Kernels for I-Vector Based PLDA-SVM Scoring", IEEE Int. Conf. on Acoustic Speech and Signal Processing (ICASSP'13), May 2013, Vancouver, pp. 7702-7706. Paper Poster
     
  22. S.B. Wan, M.W. Mak and S.Y. Kung, "Adaptive Thresholding for Multi-Label SVM Classification with Application to Protein Subcellular Localization Prediction", IEEE Int. Conf. on Acoustic Speech and Signal Processing (ICASSP'13), May 2013, Vancouver, pp. 3547-3551 Paper Poster
     
  23. W. Rao and M.W. Mak, "Alleviating the Small Sample-Size Problem in I-Vector Based Speaker Verification", Int. Sym. on Chinese Spoken Language Processing (ISCSLP'12), Dec. 2012, Hong Kong, pp. 335-339. Paper
     
  24. W. Rao and M.W. Mak, "Utterance Partitioning with Acoustic Vector Resampling for I-Vector Based Speaker Verification", Odyssey 2012: The Speaker and Language Recognition Workshop, Singapore, Jun 2012, pp. 165-171. Paper PPT Slides Presentation in Odyssey Workshop  
     
  25. S.B. Wan, M.W. Mak, and S.Y. Kung, "GOASVM: Protein Subcellular Localization Prediction Based on Gene Ontology Annotation and SVM", ICASSP'12, Kyoto, 2012, pp. 2229-2232. Paper  Web Server   
     
  26. M.W. Mak and S.Y. Kung, "Low-Power SVM Classifiers for Sound Event Classification on Mobile Devices", ICASSP'12, Kyoto, 2012, pp. 1985-1988. Paper 
     
  27. S.B. Wan, M.W. Mak, and S.Y. Kung, "Protein Subcellular Localization Prediction Based on Profile Alignment and Gene Ontology", 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'11), Beijing, Sept. 2011. Paper
     
  28. H.B. Yu and M.W. Mak, "Comparison of Voice Activity Detectors for Interview Speech in NIST Speaker Recognition Evaluation", Interspeech'11, pp. 2353-2356, pp. 2353-2356, Florence, Aug. 2011. Paper Resources 
     
  29. W. Rao and M.W. Mak, "Addressing the Data-Imbalance Problem in Kernel-based Speaker Verification via Utterance Partitioning and Speaker Comparison", Interspeech'11, pp. 2717-2720, Plague, July 2011. Paper 
     
  30. W. Jiang, M. W. Mak, W. Rao, H. Meng, The HKCUPU System for the NIST 2010 Speaker Recognition Evaluation, ICASSP' 2011. pp. 5288 - 5291, Florence, Sept. 2011. Paper    Presentation 
     
  31. M.W. Mak, W. Wang, and S.Y. Kung, "Truncation of Protein Sequences for Fast Profile Alignment with Application to Subcellular Localization", Proc. IEEE International Conference on Bioinformatics & Biomedicine (BIBM'2010), pp. 115-120, Dec. 2010, Hong Kong. Paper    Presentation 
     
  32. M.W. Mak and H.B. Yu, "Robust Voice Activity Detection for Interview Speech in NIST Speaker Recognition Evaluation, "Proc. APSIPA ASC 2010, pp. 64-71, Dec. 2010, Singapore. Paper    Presentation 
     
  33. M.W. Mak and W. Rao, "Acoustic Vector Resampling for GMMSVM-Based Speaker Verification, Interspeech 2010. Sept. 2010, Makuhari, Japan, pp. 1449-1452. (interspeech10.pdf) (interspeech10-poster.pdf)
     
  34. W. Wang, M.W. Mak and S.Y. Kung, "Speeding up Subcellular Localization by Extracting Informative Regions of Protein Sequences for Profile Alignment", Proc. Computational Intelligence in Bioinformatics and Computational Biology (CIBCB'10), Montreal, May, pp. 147-154. (cibcb10.pdf)
     
  35. G. L. Ye, B. Mak and M.W. Mak "Fast GMM Computation for Speaker Verification Using Scalar Quantization and Discrete Densities", Interspeech'2009, Brighton, Sept. 2009, pp. 2327-2330.
     
  36. S.X. Zhang and M.W. Mak, "Optimization of Discriminative Kernels in SVM Speaker Verification", Interspeech'2009, Brighton, Sept. 2009, 1275-1278. (interspeech09.pdf)
     
  37. S.X. Zhang and M.W. Mak, Regression Optimized Kernel for High-Level Speaker Verification, Proc. APSIPA ASC 2009, Sapporo, pp. 40-44, Oct. 2009.  (apsipa09a.pdf)
     
  38. M.W. Mak, W. Wang, and S.Y. Kung. "Fusion of Conditional Random Field and SignalP for Protein Cleavage Site Prediction",  Proc. APSIPA ASC 2009, Sapporo, pp. 716-721, Oct. 2009. (apsipa09b.pdf)
     
  39. M.W. Mak and S.Y. Kung, "Conditional Random Fields for the Prediction of Signal Peptide Cleavage Sites", ICASSP'09, April 2009, Taipei, pp. 1605-1608.
    Paper    Presentation    CSitePred Web Server
     
  40. S.X. Zhang and M.W. Mak, "High-Level Speaker Verification via Articulatory-Feature based Sequence Kernels and SVM", Interspeech'2008, Brisbane, Sept. 2008, pp.  1393-1396 (interspeech08.pdf)
     
  41. S.X. Zhang and M.W. Mak, "Articulatory-Feature based Sequence Kernel For High-Level Speaker Verification", Int. Conf. on Machine Learning and Cybernetics (ICMLC) 2008, vol. 5, pp. 2799-2804 (icmlc08.pdf).
     
  42. M.W. Mak and S.Y. Kung, "Fusion of Cleavage Site Detection and Pairwise Alignment for Fast Subcellular Localization", ICASSP'08, pp. 573-576, Las Vegas, April, 2008 (icassp08.pdf)
     
  43. S.X. Zhang and M. W. Mak, "A New Adaptation Method for Speaker-Model Creation in High-Level Speaker Verification", Advances in Multimedia Information Processing (PCM'2007), Hong Kong, Springer LNCS 4810, pp. 325-335.  (pcm07.pdf) (presentation)
     
  44. F. Mai, M.W. Mak, Y.S. Hung, and S.Y. Kung, "Sensitivity Analysis Of Boosting PSI-BLAST with Case Study on Subcellular Localization", 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'07), Thessaloniki, Greece, Aug. 2007, pp. 39-44. (mlsp07.pdf)
     
  45. S.X. Zhang, M. W. Mak, and H. Meng, "High-Level Feature-Based Speaker Verification via Articulatory Phonetic-Class Pronunciation Modeling", Interspeech'2007, pp. 762-765, Antwery, Belgium (interspeech07.pdf)
     
  46. B. Ma, H. Meng, M. W. Mak, "Effects of Device Mismatch, Language Mismatch and Environmental Mismatch on Speaker Verification", ICASSP'07, 2007, vol. 4, pp. 301-304.
     
  47. Henry Pak-Sum Hui, Helen M. Meng, Man-Wai Mak, "Adaptive Weight Estimation in Multi-Biometric Verification Using Fuzzy Logic Decision Fusion", ICASSP'07, 2007, vol. 1, pp. 501-504.
     
  48. S.Y. Kung and M.W. Mak, Feature Selection for Pairwise Scoring Kernels with Applications to Protein Subcellular Localization, ICASSP'07, 2007, vol. 2, pp. 569-572. (icassp07.pdf)
     
  49. M.W. Mak and S.Y. Kung. "A solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques", Int. Conf. on Neural Information Processing( ICONIP'06), vol. 1, pp. 314-323, Hong Kong, Oct. 2006. (iconip06.pdf) (presentation) (workshop)
     
  50. J. Guo, M.W. Mak and S.Y. Kung. "Eukaryotic Protein Subcellular Localization Based on Local Pairwise Profile Alignment SVM", 2006 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'06), Maynooth, Ireland, 2006, pp. 391-396 (mlsp06a.pdf) (Presentation) (Supplementary Materials)
     
  51. M.W. Mak and K.K. Yiu. "Probabilistic Feature Transformation for Channel Robust Speaker Verification", 2006 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'06), Maynooth, Ireland, pp. 433-438, 2006. (mlsp06b.pdf) (Presentation) (Source code)
     
  52. Y.M. Lam, M.W. Mak, and P.H.W. Leong. "Surface Electromyogram Signal Based Speech Synthesis with Phonetic Smoothing", IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (EMBC 2006), 2006.
     
  53. Y.M. Lam, P.H.W. Leong, and M.W. Mak, "Frame-Based SEMG-to-Speech Conversion", The Midwest Symposium on Circuits and Systems (MWSCAS'06), Puerto Rico, 2006.
     
  54. Helen Meng, P.C. Ching, Tan Lee, Man Wai Mak, Brian Mak, Y.S. Moon, Man-Hung Siu, Xiaoou Tang, Henry P.S. Hui, Andrew Lee, Wai-Kit Lo, Bin Ma and Eddie K.T. Sio, "The Multi-biometric, Multi-device and Multiligual (M3) Corpus", Second Workshop on Multimodal User Authentication (MMUA'06), Toulouse, France, 2006.
     
  55. M.W. Mak, R. Hsiao, and B. Mak, "A Comparison of Various Adaptation Methods for Speaker Verification with Limited Enrollment Data", ICASSP'06, Toulouse, May, 2006, pp. 929-932. (icassp06a.pdf) (Poster)
     
  56. S.Y. Kung and M.W. Mak, "On Consistent Fusion of Multimodal Biometrics," ICASSP'06, Toulouse, May, 2006, pp. 1085-1088. (icassp06b.pdf) (Presentation)
     
  57. Y.M. Lam, M.W. Mak and Philip H.W. Leong, "Speech Synthesis from Surface Electromyogram Signal," The 5th IEEE International Symposium on Signal Processing and Information Technology, December 18-21, 2005, pp. 749- 754, Athens, Greece.
     
  58. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Speaker Verification via Articulatory Feature-based Conditional Pronunciation Modeling with Vowel and Consonant Mixture Models, Eurospeech'05, 3089-3092, Lisbon, 2005. (eurospeech05a.pdf). (Poster)
     
  59. K.K. Yiu, M.W. Mak, and S.Y. Kung, "Channel Robust Speaker Verification via Bayesian Blind Stochastic Feature Transformation, Eurospeech'05, pp. 2013-2016, Lisbon, 2005. (eurospeech05b.pdf). (Poster)  (BSFT and BBSFT Software)
     
  60. S.Y.Kung and M.W. Mak, "A Machine Learning Approach to DNA Microarray Biclustering Analysis", 2005 IEEE International Workshop on Machine Learning for Signal Processing, Connecticut, pp. 399-404, 2005. (mlsp05.pdf). (Supplementary webpage).
     
  61. S.Y.Kung, M.W. Mak, and I. Tagkopoulos, "Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data," IEEE Computational Systems Bioinformatics Conference, Stanford University, California, pp. 123-134, 2005 (csb05.pdf) (Supplementary webpage).
     
  62. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Speaker Verification Using Adapted Articulatory Feature-based Conditional Pronunciation Modeling", ICASSP'05, vol. 1, pp. 181-184, 2005, Philadelphia (icassp05a.pdf).
     
  63. M.C. Cheung, M.W. Mak and S.Y. Kung, "A Two-level Fusion Approach to Multmodal Biometric Verification", ICASSP'05, vol. 5, pp. 486-489, 2005, Philadelphia. (icassp05b.pdf)
     
  64. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Adaptive Conditional Pronunciation Modeling using Articulatory Features for Speaker Verification", Int. Sym. on Chinese Spoken Language Processing (ISCSLP'04), pp. 61-64, 2004. (iscslp04.pdf)
  65. T.K. Choi, X.M. Zhu, R.W.P Luk, F.L. Chung, M.W. Mak, K.M. Lam and W.C. Siu, "The Impact of Speech Recognition Errors on the Effectiveness of Spoken Cantonese Query Retrieval", Proc. International Symposium on Intelligent Multimedia, Video, and Speech Processing (ISIMP'04), Oct. 2004, pp. 210-213.

  66. K.K. Yiu, M.W. Mak, M.C. Cheung, and S.Y. Kung, "Blind Stochastic Feature Transformation for Speaker Verification over Cellular Networks," Proc. International Symposium on Intelligent Multimedia, Video, and Speech Processing (ISIMP'04), Oct. 2004, pp. 679-682. (isimp04a.pdf)
     
  67. M.C. Cheung, M.W. Mak and S.Y. Kung, "Intramodal and Intermodal Fusion for Audio-Visual Biometric Authentication", Proc. International Symposium on Intelligent Multimedia, Video, and Speech Processing (ISIMP'04), Oct. 2004, pp. 25-28. (isimp04b.pdf)
     
  68. M.C. Cheung, K.K. Yiu, M.W. Mak, and S.Y. Kung, "Multi-Sample Fusion with Constrained Feature Transformation for Robust Speaker Verification", Int. Conf. on Spoken Language Processing, Korea, Oct. 2004, pp. 1813-1816. (icslp04a.pdf)
     
  69. K.K. Yiu, M.W. Mak, M.C. Cheung, and S.Y. Kung, "A New Approach to Channel Robust Speaker Verification via Constrained Stochastic Feature Transformation" Int. Conf. on Spoken Language Processing, Korea, Oct. 2004, pp. 1753-1756. (icslp04b.pdf)
     
  70. K.Y. Leung, M.W. Mak and S.Y. Kung, "Articulatory Feature-Based Conditional Pronunciation Modeling for Speaker Verification", Int. Conf. on Spoken Language Processing, Korea, Oct. 2004, 2597-2600. (icslp04c.pdf)
     
  71. C.H. Sit, M.W. Mak and S.Y. Kung, "Maximum likelihood and maximum a posteriori adaptation for distributed speaker recognition systems, Int. Conf. on Biometric Authentication (ICBA'04), Hong Kong, July 2004, pp. 640-647. (icba04.pdf)
     
  72. K.Y. Leung, M.W. Mak and S.Y. Kung, "Applying articulatory features to
    telephone-based speaker verification", ICASSP'04, Montreal, May, 2004, vol. 1, pp. 85-88. (icassp04a.pdf)
     
  73. M.C. Cheung, M.W. Mak and S.Y. Kung, "Multi-sample data-dependent
    fusion of sorted score sequences for biometric verification", ICASSP'04, Montreal, May, 2004, vol. 5, pp. 681-684. (icassp04a.pdf)
     
  74. C.L. Tsang, M.W. Mak and S.Y. Kung, "Cluster-Dependent Feature Transformation with Divergence-Based Out-of-Handset Rejection for Robust Speaker Verification", ICICS-PCM'2003. (icics-pcm2003.pdf)
     
  75. M.C. Cheung, M.W. Mak and S.Y. Kung, "Adaptive Decision Fusion for Multi-Sample Speaker Verification over GSM Networks," Eurospeech'03, Geneva, Sept. 2003, pp. 2969-2972.  (Eurosp03a.pdf)
     
  76. Eric, W.M. Yu, M.W. Mak, C.H. Sit and S.Y. Kung, "Speaker Verification Based on G.729 and G.723.1 Coder Parameters and Handset Mismatch Compensation", Eurospeech'03, Geneva, Sept. 2003, pp. 1681-1684. (Eurosp03b.pdf)
     
  77. K.K. Yiu, M.W. Mak and S.Y. Kung, "Environment Adaptation for Robust Speaker Verification", Eurospeech'03, Geneva, Sept. 2003, pp. 2973-2976. (Eurosp03c)
     
  78. C.L. Tsang, M.W. Mak and S.Y. Kung, "Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification", Int. Conf. on Audio- and Video-Based Biometric Person Authentication 2003 (AVBPA'03), Surrey, U.K, pp. 86-94. (avbpa03.pdf)

  79. M.W. Mak, M.C. Cheung, and S.Y. Kung, "Robust Speaker Verification from GSM-Transcoded Speech Based on Decision Fusion and Feature Transformation," ICASSP'2003, vol. 2, pp. 745-748. (icassp2003.pdf)

  80. Y.M. Lam, M.W. Mak and P.H.W. Leong, "Fixed-Point Implementation of Speech Recognition Systems," International Signal Processing Conference'2003, Texas, March 31 - April 3, 2003.
  81.  
  82. K.K. Yiu, M.W. Mak and S.Y. Kung, "Speaker Verification with A Priori Threshold Determination using Kernel-Based Probabilistic Neural Networks," Int. Conf. on Neural Information Processing, 2002 (ICONIP'02), Singapore, Nov. 2002, pp. 2386-2390 (iconip2002.pdf)
  83.  
  84. C.L. Tsang, M.W. Mak and S.Y. Kung, "Divergence-Based Out-of-Class Rejection for Telephone Handset Identification," Int. Conf. on Spoken Language Processing, USA, 2002, pp. 2329-2332. (icslp2002.pdf)

  85. K.K. Yiu, M.W. Mak and S.Y. Kung, "Kernel-Based Probabilistic Neural Networks with Integrated Scoring Normalization for Speaker Verification," Pacific-Rim Conference on Multimedia 2002 (PCM'2002), 2002, pp. 623-630. (pcm2002b.pdf)
  86.  
  87. Eric W.M. Yu, M.W. Mak and S.Y. Kung, "Speaker Verification From Coded Telephone Speech Using Stochastic Feature Transformation and Handset Identification," Pacific-Rim Conference on Multimedia 2002 (PCM'2002), 2002, pp. 598-606. (pcm2002a.pdf) 

  88. M.W. Mak and S.Y. Kung. "Combining Stochastic Feature Transformation and Handset Identification for Telephone-Based Speaker Verification, ICASSP'2002, pp. I701-I704.(icassp2002.pdf)
  89.  
  90. K.K. Yiu, M.W. Mak and S.Y. Kung. "A GMM-Based Handset Selector for Channel Mismatch Compensation with Applications to Speaker Identification," Second IEEE Pacific-Rim Conference on Multimedia 2001 (PCM'2001), pp. 1132-1137, Oct. 2001. (pcm2001.pdf)
  91.  
  92. Zhang, W.D., He, M.X. and Mak, M.W. “Cloud detection using probabilistic neural networks,” IEEE International Geoscience and Remote Sensing Symposium 2001 (IGARSS'01), pp. 2373-2375. 
  93.  
  94. M.W. Mak, W.D. Zhang and M.X. He, "A New Two-Stage Scoring Normalization Approach to Speaker Verification," Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing, pp. 107-110, May 2001, Hong Kong.(1024.pdf)
  95.  
  96. W.D. Zhang, M.X. He and M.W. Mak, "Application of MLP and RBF Networks to Cloud Detection,"Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing, pp. 60-63, May 2001, Hong Kong. (4042.pdf)
  97.  
  98. K.K. Yiu, M.W. Mak and S.Y. Kung, "Channel Distortion Compensation Based on the Measurement of Handset's Frequency Responses," Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing, pp. 197-200, May 2001, Hong Kong. (1023.pdf)
  99.  
  100. X. Li, M.W. Mak and S.Y. Kung, "Robust Speaker Verification Over the Telephone by Feature Recuperation," Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing,pp. 433-436, May 2001, Hong Kong. (1022.pdf)

  101. K.W. Ku and M.W. Mak, "Training Neurocontrollers by Local and Evolutionary Search," Proc. Congress on Evolutionary Computation, 2000 (CEC'2000), Vol. 2, pp. 1558-1564.
  102.  
  103. W.D. Zhang, M.W. Mak and M.X. He, "A Two-Stage Scoring Method Combining World and Cohort Models for Speaker Verification," Proc. Int. Conference on Acoustic, Speech and Signal Processing, Vol. 2, pp. 1193-1196, 2000. (icassp2000.ps)
  104.    
  105. T.F. Lo and M.W. Mak, "A New Intra-Frame and Inter-Frame Cepstral Processing Method for Telephone-Based Speaker Verification," Int. Workshop on Multimedia Data Storage, Retrieval, Integration and Applications, pp. 116-122, 2000. (mmws2000a.ps) 
  106.  
  107. M. W. Mak, W. D. Zhang and M. X. He, "Determination of A Priori Decision Threshold for Phrase-Prompted Speaker Verification,"Int. Workshop on Multimedia Data Storage, Retrieval, Integration and Applications, pp. 96-103, 2000. (mmws2000b.ps)

  108. K.K. Yiu, M.W. Mak, T.F. Lo and C.K. Li, "Probabilistic Decision-Based Neural Networks for Speaker Verification with A Priori Decision Thresholds,"1999 International Symposium on Signal Processing and Intelligent System, pp. 612-617. 
  109.  
  110. M.W. Mak and C.K. Li, "Elliptical Basis Function Networks and Radial Basis Function Networks for Speaker Verification: A Comparative Study," International Joint Conference on Neural Networks (IJCNN'99), vol. 5, pp. 3034-3039, July 1999, Washington DC. (ijcnn99.pdf) 
  111.  
  112. T.F. Lo, M.W. Mak and K.K. Yiu "A New Cepstrum-Based Channel Compensation Method for Speaker Verification," Eurospeech'99, Vol. 2, pp. 775-778, Sept. 1999, Hungary. (eurospeech99a.pdf) 
  113.  
  114. W.D. Zhang, K.K. Yiu, M.W. Mak, C.K. Li and M.X. He, "A Priori Threshold Determination for Phrase-Prompted Speaker Verification", Eurospeech'99, Vol.2, pp. 1023-1026, Sept. 1999, Hungary. (eurospeech99b.pdf) 
  115.  
  116. M.W. Mak, C.K. Li and X. Li, "Maximum Likelihood Estimation of Elliptical Basis Function Parameters with Application to Speaker Verification," International Conference on Signal Processing (ICSP'98), pp. 1287-1290. Oct. 98, Beijing. (icsp98a.ps) 
  117.  
  118. K.K. Yiu, M.W. Mak and C.K. Li, "Probabilistic Decision-Based Neural Networks for Speech Pattern Classification," International Conference on Signal Processing (ICSP'98), pp. 1378-1381, Oct. 98, Beijing. (icsp98b.ps) 
  119.  
  120. X. Li and M.W. Mak, "Optimization of EBFN architecture by an improved RPCL algorithm with application to speaker verification," Proc. of the 1998 Symposium on Image, Speech, Signal Processing and Robotics (ISSPR'98), Vol. II, pp. 43-47, Hong Kong. (isspr98.ps) 
  121.  
  122. K.W. Ku and M.W. Mak, "Empirical Analysis of the Factors that Affect the Baldwin Effect," Fifth Internation Conference on Parallel Problem Solving from Nature (PPSN'98), pp. 481-490, Sept. 98, Amsterdam. (ppsn98.ps) 
  123.  
  124. M.W. Mak and K.W. Cho, "Genetic Evolution of Radial Basis Function Centers for Pattern Classification", International Conference on Neural Networks (ICNN'98), pp. 669-673 May 1998, USA. (ijcnn98.ps) 
  125.  
  126. K.W. Ku and M.W. Mak, "Exploring the Effects of Lamarckian and Baldwinian Learning in Evolving Neural Networks", Int. Conf. on Evolutionary Computation (ICEC'97), pp. 617-20, 13-16 April 1997. (icec97.ps) 
  127.  
  128. M.W. Mak, "Text-Independent Speaker Verification Over a Telephone Network by Radial Basis Function Networks", Proc. Int. Sym. Multi-Technology Information Processing (ISMIP'96), pp. 145-150, December 1996, Taiwan. (ismip96.ps) 
  129.  
  130. K.W. Ku, M.W. Mak and W.C. Siu, "A Cellular Genetic Algorithm for Training Recurrent Neural Networks", Proceedings, International Conference on Neural Networks and Signal Processing (ICNNSP'95), Vol. 1, pp. 140-3, 10-3 December 1995, Nanjing, China. (icnnsp95.ps) 
  131.  
  132. Y.L. Lu, M.W. Mak and W.C. Siu, "Diminish the Computational Burden of Real Time Recurrent Learning Algorithm by Constrainted Sensitivity", Proceedings, International Conference on Neural Networks and Signal Processing (ICNNSP'95), Vol. 1, pp. 223-6, 10-3 December 1995, Nanjing, China. 
  133.  
  134. M.W. Mak, Y.L. Lu and K.W. Ku, "Improved Real-time Recurrent Learning Algorithm : A Review and some New Approaches", Proceedings, International Symposium on Artificial Neural Networks (ISANN'95), pp. IS01-IS06, December 1995, Taiwan. (isann95.ps) 
  135.  
  136. Y.L. Lu, M.W. Mak and W.C. Siu, "Application of a Fast Real-Time Recurrent Learning Algorithm to text-to-phoneme Conversion", Proceedings, IEEE International Conference on Neural Networks (ICNN'95), Vol. 5, pp. 2853-7, November- December 1995, Perth, Australia. (icnn95.pdf) 
  137.  
  138. M.W. Mak, "Speaker Identification using Modular Recurrent Neural Networks", Proceedings, 4th IEE International Conference on Artificial Neural Networks, pp. 1-6, June 1995, U.K. (ieeann95.ps) 
  139.  
  140. M.W. Mak, W.G. Allen and G.G. Sexton, "Speaker Identification using Radial Basis Functions," The 3rd IEE Int. Conf. on Artificial Neural Networks, pp. 138-142, U.K. (ieeann93.pdf) 
     
  141. M.W. Mak, W.G. Allen and G.G. Sexton, "Comparing Multi-Layer Perceptron and Radial Basis function Networks in Speaker Recognition", BCS/IEEE/EUROMICRO Workshop on Neural Networks: Techniques and Applications, Liverpool, 7-8 Sept. 1992.


Technical Reports and Lecture Notes

  1. M.W. Mak, "Lecture Notes on Factor Analysis and I-Vectors", Technical Report and Lecture Note Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Feb. 2016. (Presentation File)

  2. M.W. Mak, "Lecture Notes on Wiener Filtering", Technical Report and Lecture Notes Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Feb 2016.

  3. M.W. Mak, "Lecture Notes on Uncertainty Propagation for I-Vector/PLDA Speaker Verification", Technical Report and Lecture Note Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, April 2015.

  4. M.W. Mak, "Lecture Notes on Relevance Vector Machines", Technical Report and Lecture Note Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, August 2015.

  5. M.W. Mak, "Lecture Notes on SNR-Invariant PLDA", Technical Report and Lecture Note Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, August 2015.

  6. M.W. Mak, "Lecture Notes on Backpropagation", Technical Report and Lecture Note Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, July 2015.

  7. M.W. Mak, "Lecture Notes on Restricted Boltzmann Machines", Technical Report and Lecture Note Series, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Nov. 2015.

PhD Thesis

M.W. Mak, "Application of Artificial Neural Networks for Speaker Identification", PhD Thesis, University of Northumbria at Newcastle, 1993.

 


M.W. Mak's Homepage

http://www.eie.polyu.edu.hk/~mwmak/mypage.htm

Last update: Dec.  2016