Feature Mining with Computational Intelligence and Its Applications in Image Steganalysis and Bioinformatics

Selected papers in steganalysis are listed as follows:

1. Q. Liu, A. Sung, and M. Qiao, "Derivative Based Audio Steganalysis", ACM Transactions on Multimedia Computing, Communications and Applications, in press.
2. Q. Liu, A. Sung, and M. Qiao, "Neighboring Joint Density Based JPEG Steganalysis", ACM Transactions on Intelligent Systems and Technology, in press.
3. M. Qiao, A. Sung and Q. Liu, "Revealing Real Quality of Double Compressed MP3 Audio", ACM-MM 2010 ,in press.
4. Q. Liu, A. Sung, and M. Qiao, "Novel Stream Mining for Audio Steganalysis", Proc. ACM MM-09, pp. 95-104.
5. Q. Liu, A. Sung, and M. Qiao, "Improved Detection and Evaluation for JPEG Steganalysis", Proc. ACM MM-09 , pp. 873-876. ( The MATLAB feature extraction code is available at http://www.cs.nmt.edu/~liu/downloads.html.)
6. Q. Liu, A. Sung and M. Qiao, "Temporal Derivative Based Spectrum and Mel-Cepstrum Audio Steganalysis", IEEE Trans. Information Forensics and Security , in press. ( The WAV audio files are available at http://www.cs.nmt.edu/~liu/downloads.html.)
7. M. Qiao, A. Sung, and Q. Liu, "Steganalysis of MP3stego", IJCNN-09, in press.
8. Q. Liu , A. Sung, and M. Qiao (2008), "Video Steganalysis Based on the Expanded Markov and Joint Distribution Features on the Transform Domains - Detecting MSU StegoVideo", ICMLA-08, pp. 671-674.
9. Q. Liu, A. Sung, and M. Qiao (2008), "Detecting Information-Hiding in WAV Audios". ICPR-08, http://figment.cse.usf.edu/~sfefilat/data/papers/TuBCT9.47.pdf#page=1
10. Q. Liu , A. Sung, B. Ribeiro, R. Ferriera (2008),"Steganalysis of Multi-class JPEG Images based on Expanded Markov Features and Polynomial Fitting", IJCNN-08, pp. 3351-3356.
11. Q. Liu , A. Sung, Z. Chen, J. Xu (2008), "Feature Mining and Pattern Classification for Steganalysis of LSB Matching Steganography in Grayscale Images", Pattern Recognition 41 (1): 56-66. doi: 10.1016/j.patcog.2007.06.005.
12. Q. Liu , A. Sung, B. Ribeiro, M. Wei, Z. Chen, J. Xu (2008), "Image Complexity and Feature Mining for Steganalysis of Least Significant Bit Matching Steganography", Information Sciences 178(1): 21-36. doi: 10.1016/j.ins.2007.08.007.
13. Q. Liu and A. Sung (2007), "Feature Mining and Nuero-Fuzzy Inference System for Steganalysis of LSB Matching Steganography in Grayscale Images", IJCAI-07, pp. 2808-2813.
14. Q. Liu , A. Sung, J. Xu, B. M. Ribeiro (2006), "Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography", ICPR-06, vol.2,pp. 267-270.
15. Q. Liu , A. Sung, B. M. Ribeiro (2005), "Statistical Correlations and Machine Learning for Steganalysis", Adaptive and Natural Computing Algorithms, Springer-Wien-NewYork, pp. 437-440.

My primary research interest in bioinformatics is to apply data mining and intelligent computing as well as signal processing to discover the knowledge in highthrougput biological data including Microarray, proteomics, sequencing, and SNP, and medical imaging analysis.

Selected papers are listed as follows:

1. Q. Liu, A. Sung, Z. Chen, and X. Huang, "Supervised Recursive Feature Additiona and Optimization for Microarray Gene Expression Data". Submitted.
2. Q. Liu, A. Sung, Z. Chen, J. Liu, X. Huang, and Y. Deng, "Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression data". Submitted.
3. Z. Chen, Q. Liu, M. McGee, M. Kong, X. Huang, and R. Scheuermann "A Gene Selection Method for GeneChip Array Data with Small Sample Sizes". Submitted.
4. Z. Chen, M. McGee, Q. Liu , M. Kong, and R.H. Scheuermann, "A Novel Method of Identifying Differentially Expressed Genes Based on Probe Level Data for GeneChip Arrays". Submitted.
5. Z. Chen, M. McGee, Q. Liu, M. Kong, Y. Deng, R. Scheuermann, "A Distribution-Free Convolution Model for Background Correction of Oligonucleotide Microarray Data", BMC Genomics, in press.
6. Q. Liu, A. Sung, M. Qiao, Z. Chen, J. Yang, M. Q. Yang, X. Huang, Y. Deng, "Comparison of Feature Selection and Classification of MALDI-MS Data", BMC Genomics, in press.
7. Q. Liu , M. Qiao and A. Sung, "Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics Data", International Journal of Knowledge Engineering and Soft Data Paradigms, in press.
8. W. Kong, X. Mou, Q. Liu , Z. Chen, C. Vanderburg, J. Rogers, and X. Huang (2009), "Independent Component Analysis of Alzheimer's DNA Microarray Gene Expression Data", Molecular Neurodegeneration 2009, 4:5, doi: 10.1186/1750-1326-4-5.
9. Q. Liu , J. Yang, Z. Chen, M. Yang, A. Sung, X. Huang (2008), "Supervised-Learning based TagSNPs for Genome-wide Disease Classification", BMC Genomics 9(Suppl 1):S6, doi:10.1186/1471-2164-9-S1-S6.
10. Z. Chen, M. McGee, Q. Liu , and R.H. Scheuermann (2007), "A Distribution Free Summarization Method for Affymetrix GeneChip Arrays", Bioinformatics 2007 23(3):321-327, doi:10.1093/bioinformatics/btl609.
11. Q. Liu and A. Sung (2006), "Recursive Feature Addition for Gene Selection", Proc. of 19th International Joint Conference on Neural Network. pp. 2339-2346.

Selected papers are listed as follows:

1. M. Wei, B. Bai, A. Sung, Q. Liu , J. Wang, M. Cather (2007), "Predicting Injection Profiles Using ANFIS", Information Sciences 177 (20): 4445-4461. doi:10.1016/j.ins.2007.03.021.
2. J. Xu, A. Sung, S. Mukkamala, Q. Liu (2007), "Obfuscated Malicious Executable Scanner", Journal of Research and Practice in Information Technology, 39(3): 181-197.
3. J. Xu, A. Sung, Q. Liu (2007), "Behavior Mining for Fraud Detection", Journal of Research and Practice in Information Technology, 39(1): 3-18.