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Education:
Ph.D., Department of Electrical and Computer Engineering, University of Illinois at Urbana - Champaign, 2002
B.S., M.S., Mathematics, Applied Mathematics and Computer Science, Peking University
Main Research Interest:
Pattern recognition and machine learning
Feature extraction and selection from high-dimensional and/or large scale dataset
Clustering or semi-clustering for large scale data, correlation clustering
Optimal configuration on graphs
Pattern recognition and classification problems in biomedicine, engineering, healthcare
Signal processing and image processing
Efficient/optimal representation for high-dimensional data and huge amount of data for acquisition, transmission, visualization, and classification including particularly medical diagnosis and image processing
Image analysis for object recognition, especially medical image analysis
Information and image security and integrity
Signal/image processing in biomedicine, engineering, healthcare
Selected Journal Papers:
"Fast selecting optimal feature subset for multi-class classification with applications to high dimensional data," Qiang Cheng, H. Zhou, and J. Cheng,
submitted to IEEE Trans. PAMI.
"Support vector machine based estimation of earthquake response spectrum from Fourier Amplitude Spectrum," J. Tezcan and Qiang Cheng, submitted to (A. Soc. Civil Eng.) J. of Computing in Civil Engineering.
"Real-time vector quantization and clustering based on ordinary differential equations," J. Cheng, M. Sayeh, M. Zargham, and Qiang Cheng, submitted to IEEE Trans. NN.
"A sparse learning machine for high-dimensional data with applications to microarray gene analysis," Qiang Cheng, in press, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
"Generalized embedding of multiplicative watermarks," Qiang Cheng, IEEE Trans. Circuit and Systems for Video Technology, vol. 19, no. 7, pp. 978-988, 2009.
"Sparsity optimization method for multivariate feature screening for gene expression analysis," Qiang Cheng and Jie Cheng, in press, Journal of Computational Biology.
"Toward actively defending from denial of service attacks in UMTS-WLAN," H. Qu, Qiang Cheng, E. Yaprek, and L.-Y. Wang, Ubiquitous Computing and Communication Journal, vol.3, no.3, pp. 1-11, July 2008.
"An efficient compression method for multiplanar reformulated biomedical images," Qiang Cheng and M. Zargham, Int. J. of Functional Informatics and Personalized Medicine, Special Issue for IEEE 7th BIBE, vol.1, pp 68-79, Feb. 2008.
"A novel distributed sensor positioning system using the dual of target tracking," L. Zhang, Qiang Cheng, L. Wang, and S. Zeadali, IEEE Trans. Computers, vol. 57, no. 2, pp. 246-260, Feb. 2008.
"Unconfined e-healthcare system using UMTS-WLAN," H. Qu, Qiang Cheng, and E. Yaprek, Int. Journal of Modeling and Simulation, vol. 26, no. 3, pp. 261-270, 2006.
"Performance analysis and error exponents of asymmetric watermarking systems," Qiang Cheng, Y. Wang, and T.S. Huang, Signal Processing, vol. 84, no. 8, pp. 1429-1445, Aug. 2004.
"Robust optimum detection of transform-domain multiplicative watermarks," Qiang Cheng and T.S. Huang, IEEE Trans. on Signal Processing, Special Issue for Data Hiding in Digital Media and Secure Content Delivery, vol. 51, no. 4, pp. 906-924, April 2003.
"An additive approach to transform-domain information hiding and optimum detection structure," Qiang Cheng and T.S. Huang, IEEE Trans. on Multimedia, vol. 3, pp. 273-284, Sept. 2001.
Patents:
"Spread Spectrum Signaling for Speech Watermarking," Qiang Cheng and Jeffrey S. Sorensen, US Patent 6892175, IBM T. J. Watson Research Center, Yorktown Heights, Issued on May 10, 2005.
A number of patents filed by Siemens Medical, Siemens in U.S., China, and Germany, when I was a Senior Research Scientist and Senior Researcher at Siemens Medical and Siemens Coporate Research, Siemens, at Princeton, NJ.
Selected Conference Papers or Book Chapters:
"Wavelet-based estimation of site response," J. Tezcan, V. Puri, and Qiang Cheng, Proc. The 14th World Conference on Earthquake Engineering, Beijing, China, Oct. 2008.
"Prediction of protein function using graph container and message passing," H. Zhou, Qiang Cheng, and M. Zargham, Int. Conf. Bioinformatics and Computational Biology (BIOCOM'08), Las Vegas, NV, July 2008.
"Wireless-based medical information processing: Integrated system analysis and simulation," Q. Hu, L. Wang, Qiang Cheng, et al., Int. Conf. Telehealth, Alberta, Canada, July 2006.
"Landscape (3D): A robust sensor localization scheme for sensor networks over 3D terrains," L. Zhang, X. Zhou and Qiang Cheng, IEEE Conf. Local Computer Networks (LCN), Tampa, FL, Nov. 2006.
"Unconfined mobile Bluetooth telemedicine for empowered healthcare," Qiang Cheng, H. Qu, Y. Wang, and J. Tan, in E-Health Paradigm Shift: Perspectives, Domains and Cases, Wiley: Jossey-Bass, 2005.
"SNR analysis for phased-array MRI," Y. Wang, Qiang Cheng, and J. Cheng, Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP'05), Philadelphia, 2005.
"Enhancing Bluetooth security with covert channel signaling," H. Qu and Qiang Cheng, IEEE and IFIP Int. Conf. on Wireless Communications Networks, June 2004.
"Combined audio and video watermarking using mel-frequency cepstra," Qiang Cheng, T. S. Huang, and H.Pan, Proc. International Conference on Multimedia and Expo (ICME'01), Tokyo, Japan, Aug., 2001.
"Spread spectrum signaling for speech watermarking," Q. Cheng and Jeffrey Sorensen, Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP'01), Salt Lake City, UT, May 2001.
"An image watermarking technique using pyramid transform," Qiang Cheng and T.S. Huang, Proc. ACM International Conference on Multimedia (ACM Multimedia'01), pp. 319-328, Ottawa, Canada, Sept., 2001.
"Identify region of interest for video watermark embedment with principle component analysis on multiple cues," R. Wang, Qiang Cheng, and T.S. Huang, Proc. ACM International Conference on Multimedia (ACM Multimedia'00), L.A., California, Oct. 2000.
"Blind digital watermarking for images and videos and performance analysis," Qiang Cheng and Thomas S. Huang, Proc. International Conference on Multimedia and Expo (ICME'00), New York, Aug. 2000.
Software and Tools
A Computational Tool for Finding Small, NonCoding RNAs from Genomic Sequences:
We developed a computational tool for predicting small, non-coding RNAs (sRNA) from genomic sequences.
Applying our tool to Streptococcus pyogene, we have found 5 putative sRNAs seqeunces, among which 4 are new, and 1 was experimentally found in the literature
(There are only 3 known sRNAs for Streptococcus in the literature, experimentally found).
These 5 putative sRNAs are the most likely ones. By lowering the likelihood, we can find more candidates - over 80 for Streps.
The tool is generic, applicable to other species. If interested, please contact me.
A Real-Time Fusion Method and Tool for Fusing Medical Surgical Images (based on Bayesian risk minimization and pixon maps)
Fast in complexity for practical medical image fusion.
Comparable in quality to multiresolution methods based fusion.
Applicable to non-medical images.
A Software Tool for Computing Pre-Pulse Inhibition (PPI) for Neuroscience
Graduate Students:
Ph.D. students: Hongbo Zhou
Master students: Ning Yu (system adminstrator, South Carolina State University), Xiongyu Peng, Pablo Robles Granda
Computer Science Courses Taught:
CS 455-Algorithm Design and Analysis
CS 586-Pattern Recognition and Image Analysis
CS 220-Data Structures and Abstractions Using Java
CS 330-Introduction to Algorithm Deisgn and Analysis (Fall 2009)
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