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李祺
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基本资料

姓名:李祺

学历/学位:

职称/职务:教授

教师介绍

研究领域方向: Data mining;Machine learning;Bioinformatics;

Appearance based recognition

联系邮箱: qi.li@wku.edu

教育背景

2002/09–2006/07, 特拉华大学(University of Delaware), 理工学院计算机科学与信息系,博士

1993/09–1996/07, 中山大学,数学系,硕士

1989/09–1993/07, 中山大学,数学系,学士

工作简历:

2012/08–现在, 西肯塔基大学(Western Kentucky University),理工学院计算科学机系,副教授(终身教授)

2006/08–2012/07, 西肯塔基大学(Western Kentucky University),理工学院计算科学机系,助理教授

教学科研情况

Course Taught

CS 180 Computer Science I (Fall 11, Fall 12)

CS 225 CS Systems I

CS 239 Problem Solving with Computations (Fall 06, Fall 07, Fall 08)

CS 240 Computer Science I (Spring 09)

CS 280 Computer Science III (Fall 13, Spring 14, Fall 14)

CS 380 Data Structures and Algorithm Analysis (Fall 13)

CS 425 Operating Systems I (Fall 06, Fall 07, Fall 08, Spring 09, Fall 09, Fall 10, Fall 11, Fall 12, Fall 13, Fall 14)

CS 442/442G Data Structures and Algorithm Analysis (Spring 07, Fall 09, Spring 10)

CS 444/444G Programming Languages (Fall 06, Fall 07, Spring 08)

CS 445/445G Operating Systems II (Spring 07, Spring 11, Spring 12, Spring 13, Spring 14)

CS 446/446G Interactive Computer Graphics (Spring 08, Spring 09, Spring 10, Spring 11, Spring 12, Spring 13, Spring 14)

CS 545 Advanced Operating System Principles (Fall 09)

CS 549 Analysis of Algorithms (Fall 08, Fall 10)

CS 565 Data Mining (Spring 11)

CS 568 Computer Vision (Spring 13)

CS 595 Introduction to Computer Vision (Spring 08)

CS 595 Biometric Authentication (Summer 08)

学术成果:

Journal Papers

Qi Li and Chandra Kambhamettu. Contour Extraction of Drosophia Embryos. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, No. 6, Pages 1509-1521, 2011.

Qi Li and Guangming Xing. New Similarity Measures of Localities for A Two-Layer Matching Scheme and Estimation of Fundamental Matrices.Neurocomputing, Vol. 73, No. 16-18, Pages 3114-3122, 2010.

Qi Li. Interest Points of General Imbalance. IEEE Transactions on Image Processing, Vol. 18, No. 11, Pages 2536-2546, 2009.

Qi Li, Jieping Ye and Chandra Kambhamettu. Interest Point Detection Using Imbalance Oriented Selection. Pattern Recognition, Vol. 41, No. 2, Pages 672-688, 2008.

Qi Li, Jieping Ye, Min Li, and Chandra Kambhamettu. Adaptive Appearance based Face Recognition. International Journal on Aritificial Intelligence Tools, Vol. 17, No. 1, Pages 175-193, 2008.

Qi Li, Chandra Kambhamettu and Jieping Ye. Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions. Neurocomputing, Vol. 71, No. 10-12, Pages 1902-1912, 2008.

Qi Li, Jieping Ye and Chandra Kambhamettu. Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. Journal of Multimedia Tools and Applications , Vol. 30, No. 1, Pages 89-108, 2006.

Jieping Ye, Ravi Janardan, Qi Li and Haesun Park. Feature extraction via generalized uncorrelated linear discriminant analysis, IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No. 10, Pages 1312-1322, 2006.

Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, and Vipin Kumar. IDR/QR: An incremental dimension reduction algorithm via QR decomposition. IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 9, Pages 1208-1222, 2005.

Jieping Ye and Qi Li. A two-stage linear discriminant analysis via QR decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 6, Pages 929-941, 2005.

Jieping Ye and Qi Li. LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation. Pattern Recognition, 37 (4):851-854, April 2004.

Tao Li, Qi Li, Shenghuo Zhu, and Mitsunori Ogihara. A Survey on Wavelet Applications in Data Mining. SIGKDD EXplorations, January 2003. Volume 4, Issue 2.

Qi Li. Biorthogonality of pairs of $L\sp 2$-stable compactly supported refinable spline functions with simple half-integer knots.Applicalbe Analysis. 72 (1999), no. 3-4, 391-397.

Conference/Workshop Papers

Qi Li and Zachary Bessinger. Learning Scale Ranges for the Extraction of Regions of Interest. IEEE International Conference on Image Processing (ICIP'12), 2581-2584.

Zachary Bessinger, Guangming Xing, and Qi Li. Localization of Drosophila Embryos Using Connected Components in Scale Space. IEEE International Conference on Image Processing (ICIP'12), 497-500.

Qi Li. Scale Assignment for Imbalanced Points. IEEE International Conference on Tools with Articial Intelligence (ICTAI'11), pp 197-204, 2011.

Qi Li. A hybrid representation of imbalanced points for two-layer matching. International Conference on Image Analysis and Recognition(ICIAR'11), pp 232-241, 2011.

Qi Li, Zhonghang Xia and Guangming Xing. A Binocular Framework for Face Liveness Verification under Unconstrained Localization.International Conference on Machine Learning and Applications (ICMLA'10), pp 204-207, 2010.

Qi Li and Chang-Tien Lu. Appearance Based Recognition Using Spatial and Discriminant Influence. International Conference on Machine Learning and Applications (ICMLA'10), pp 78-83, 2010.

Qi Li and Chandra Kambhamettu. Contour Extraction of Drosophia Embryos. IEEE International Conference on Tools with Articial Intelligence (ICTAI'09), pp 33-40, 2009.

Qi Li, Zhonghang Xia and Dacheng Tao. A Global-to-Local Scheme for Imbalanced Point Matching. IEEE International Conference on Image Processing (ICIP'09), pp 2117-2120, 2009.

Qi Li and Dacheng Tao. Detecting Image Points of General Imbalance. IEEE International Conference on Image Processing (ICIP'09), pp 337-340, 2009.

Qi Li and Zhonghang Xia. Detecting Image Points of Diverse Imbalance. IEEE International Conference on Image Processing (ICIP'08), pp 2592-2595, 2008. PDF

Qi Li, Guangming Xing, and Art Shindhelm. An Automatic Framework for Standardization of Drosophila Embryonic Images. IEEE International Conference on Image Processing (ICIP'08), pp 1824-1827, 2008.

Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, and Jieping Ye. Learning Subspace Kernels for Classification. The Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'08), pp 106-114, 2008.

Jianhui Chen, Jieping Ye, and Qi Li. Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07), june, 2007.

Zhonghang Xia, Guangming Xing, Qi Li. A Multidimensional Scaling Approach for Representing XML Documents. The 45th ACM Southeast Conference, pp 111-115, 2007.

Qi Li and Chandra Kambhamettu. Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions. International Conference on Machine Learning and Applications (ICMLA'06), pp 296-301, 2006.

Qi Li, Jieping Ye, Min Li, and Chandra Kambhamettu. Adaptive appearance based face recognition. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 677-684, 2006.

Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, and Chandra Kambhamettu. Efficient Model Selection for Regularized Linear Discriminant Analysis. ACM Conference on Information and Knowledge Management (CIKM'06), pp 532-539, 2006.

Jieping Ye, Jianhui Chen, Qi Li, and Sudhir Kumar. Classification of Drosophila embryonic developmental stage range based on gene expression pattern images. Computational Systems Bioinformatics Conference (CSB2006), 2006.

Qi Li, Chandra Kambhamettu and Jieping Ye. ``Integrating spatial and discriminant strength for feature selection and linear dimensionality reduction''. Beyond Patches Workshop in conjunction with CVPR'06}, 2006.

Jieping Ye, Ravi Janardan and Qi Li. Two-dimensional linear discriminant analysis. Advances in Neural Information Processing Systems 17, pp 1569-1576, 2005. (Acceptance rate = 65/822 = 8\%)

Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan and Vladimir Cherkassky. Efficient kernel discriminant analysis via QR decomposition. Advances in Neural Information Processing Systems 17, pp 1529-1536, 2005. (Acceptance rate = 207/822 = 25\%)

Qi Li, Jieping Ye and Chandra Kambhamettu. Linear projection methods in face recognition under unconstrained illuminations: A comparative study. IEEE Intl. Conf. on Computer Vision and Pattern Recognition (CVPR'04), pp 474-481, 2004. (Acceptance rate = 256/873 = 29\%)

Jieping Ye, Ravi Janardan and Qi Li. GPCA: An efficient dimension reduction scheme for image compression and retrieval. ACM Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD'04), pp 354-363, 2004. (Acceptance rate = 40/337 = 12\%)

Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan and Vipin Kumar. IDR/QR: An incremental dimension reduction algorithm via QR decomposition. ACM Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD'04), pp 364-373, 2004. (Acceptance rate = 40/337 = 12\%)

Jieping Ye, Ravi Janardan, Qi Li and Haesun Park. Feature extraction via generalized uncorrelated linear discriminant analysis. Intl. Conf. on Machine Learning (ICML'04), pp. 895-902, 2004. (Acceptance rate = 65/368 = 18\%)

Qi Li, Jieping Ye and Chandra Kambhamettu. Spatial interest pixel (SIPs): Useful low-level features of visual media data. IEEE Intl. Conf. on Data Mining (ICDM'03), pp 163-170, 2003. (Acceptance rate = 58/501 = 12\%)

Tao Li, Mitsunori Ogihara and Qi Li. A comparative study on content-based music genre classification. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'03), pp 282-289, 2003. (Acceptance rate = 46/266=17\%).

Qi Li, Tao Li, Shenghuo Zhu and Chandra Kambhamettu. Improving medical/biological data classification performance by wavelet pre-processing. IEEE Intl. Conf. on Data Mining (ICDM'02), pp 657-660, 2002. (Acceptance rate = 118/369 = 32\%)

Qi Li, Chris Brown, Chandra Kambhamettu, Tao Li, and Shenghuo Zhu. A framework of individually-focused teleconferencing (IFT) via an efficient 3D reprojection technique. ACM SAC Multimedia and Visualization Track (MMV), pp 951-955, 2003.

Tao Li, Shenghuo Zhu, Qi Li and Mitsunori Ogihara. Gene functional classification by semisupervised learning from heterogeneous data. ACM SAC Bioinformatics Track, pp 78-82, 2003.

Qi Li, Tao Li, Shenghuo Zhu and Chandra Kambhamettu. How well can wavelet denoising improve the accuracy of computing fundamental matrices?IEEE Workshop on Motion and Video Computing, pp 247-252, 2002.

社会兼职

Journal Editorial Board

Neurocomputing (2007-present)

International Journal of Computers, Systems, and Signals (2007-present)

International Journal of Data Mining, Modelling, and Management (2008-2010)

International Journal of Data Analysis Techniques and Strategies (2008-2010)

Conference PC Member

Program Committee Member for International Conference on Machine Learning and Applications (ICLMA’09).

Program Committee Member for International Conference on Image and Graphics (ICIG'09).

Program Committee Member for IADIS European Conference on Data Mining (ECDM'09).

Program Committee Member for International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09).

Program Committee Member for International Conference on Image Analysis and Recognition (ICIAR'09).

Program Committee Member for IEEE International Conference on Tools with Artificial Intelligence (ICTAI’08).

Program Committee Member for International Conference on Machine Learning and Applications (ICLMA’08).

Program Committee Member for IADIS European Conference on Data Mining (ECDM'08).

Program Committee Member for International Conference on Image Analysis and Recognition (ICIAR'08).

Program Committee Member for IEEE International Conference on Data Mining (ICDM’07).

Program Committee Member for IADIS European Conference on Data Mining (ECDM’07).

Program Committee Member for IEEE International Conference on Tools with Artificial Intelligence (ICTAI’07).

Program Committee Member for International Conference on Machine Learning and Applications (ICLMA’07).

Program Committee Member for IEEE International Conference on Tools with Artificial Intelligence (ICTAI’06).

Session Chair for ICTAI’06: Bioinformatics Track.

Program Committee Member for International Conference on Machine Learning and Applications (ICMLA’06)

Journal reviewer

IEEE Image Processing

IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Pattern Analysis and Machine Intelligence

Journal of Machine Learning Research

IEEE Transactions on Multimedia

Computer Vision and Image Understanding

Multimedia Tools and Applications

Pattern Recognition Letters

Neural Processing Letters

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