Xuegong Zhang, Ph.D.
Professor of Pattern Recognition
and Bioinformatics
Director, Bioinformatics
Division, TNLIST
Deputy Director, MOE Key
Laboratory of Bioinformatics
Department of
Automation
Tsinghua University,
Beijing 100084,
Phone: 86-10-6279-4919
Fax: 86-10-6278-6911
Email: zhangxg@tsinghua.edu.cn
Research
Machine Learning and Pattern Recognition: Theory,
Methods and Applications:
SVM and Statistical Learning Theory,
Kernel Machines, Artificial Neural Networks and SOM, …
Bioinformatics, Computational Genomics and Systems
Biology:
Complex Diseases: Genomics
and Proteomics analysis of complex diseases
Omics Data Analysis: Data
mining, supervised and unsupervised classification, gene selection,
visualization, pattern discovery
Gene Regulation Analysis: Transcription
regulation, epigeomics regulation, RNA regulation, post-translational
regulation
Genotype and Haplotype Analysis:
haplotype block and htSNPs analysis, recombination
Study on alternative
splicing and microRNA
Pattern Recognition in Traditional
Chinese Medicine
……
Education
March, 1994, Ph.D. of Pattern
Recognition and Intelligent Systems,
July, 1989, BS of Industrial
Automation,
Work
Experiences
2007.Mar-Apr
Visiting Scholar, MCB, USC
2003
– present Director, Bioinformatics
Division, TNLIST (Tsinghua National Laboratory of Information Science and
Technology)
2002
– present Professor of Pattern
Recognition and Bioinformatics, Department of Automation,
2002
– present Deputy Director, MOE Key
Laboratory of Bioinformatics
2006.Feb-Mar Visiting Scientist, Harvard School of
Public Health
2001 – 2002 Visiting Scholar, Harvard School of
Public Health
1999 – 2007 Director, Institute of Information
Processing, Department of Automation,
1996 – 2002 Associate Professor of Pattern
Recognition, Department of Automation,
1994 – 1996 Lecturer, Department of Automation,
Courses Given
Introductory Computational Molecular Biology
(graduate)
Introduction to Statistical Learning Theory
(graduate)
Scientific Ethics and Exposition (graduate)
Fundamental Pattern Recognition (undergraduate)
Awards
2006年国家杰出青年基金
2004年教育部新世纪优秀人才支持计划
2002年国家科技进步二等奖
2001年中国海洋石油总公司科技进步一等奖
1995年国家教委科技进步二等奖
Ph.D. program：Tingting
Li, Zhengpeng Wu, Yunfei Pei, Shicai Fan, Xi Wang, Tao Ma, Zhixing Feng
MS program: Xueya Zhou,
Ying Liu, Lu Meng
Undergraduate students:
Ronghuo Zheng
Alumni：
Ph.D. Program: Xuesong Lu, Hui
Yan, Jianhua Xu, Chaolin Zhang, Benoit Valin, Zheng Ye
MS Program: Bo Jiang, Jun Li, Fang Fang,
Jiangni Ao, Xi Ma, Jing
Zhang, Shuhua Liu, Junwen Wu, Haixin Ke, Xiang Wu, Yan Li, Zhenzhen Kou,
Yunqian Ma
Postdoctoral Fellows: Drs.
Chenghai Xue, Li Wang, Fei Li, Ke Zhang, Gaojun Xiong, Tailin Feng, Wenkai Lu
Invited Talks and Tutorials
1.
Xuegong Zhang, Putting more biology in learning machines, Planery Keynote Speech at APBC2008, Jan
14-17, 2008, Kyoto
2.
Xuegong Zhang, Studying molecular features of breast cancer with
learning machines, invited talk at CAS
International Symposium on Developmental Systems Biology, May 18-20, 2008,
Beijing
3.
Xuegong Zhang, Bioinformatics Study of the Molecular Features of
Breast Cancer, invited keynote talk at the 5th
International Conference on Information Technology and Applications in
Biomedicine (ITAB’08), May 30-31, 2008, Shenzhen
4.
Xuegong Zhang, Learning Biology with Machines: examples from
alternative splicing and DNA methylation, invited talk at 2008 International
Bioinformatics Workshop, June 7-9, 2008, Kunming
5.
Xuegong Zhang, Understanding lymph node metastasis in breast cancers:
a case study of microarray data analysis, invited talk, NSF Sponsored International Conference on Bioinformatics, June
10-14, 2007, Hangzhou
6.
Xuegong Zhang, A bioinformatics study on lymph node metastasis of
breast cancers, invited talk, International
Symposium on Biochip Technology and Molecular Classification of Disease,
May 6-8, Shanghai, 2007
7.
Xuegong Zhang, Some new challenges for pattern recognition on
high-throughput genomics/proteomics data, ICCTA2007,
Kolkata, India, Mar 3-7, 2007
8.
Xuegong Zhang, Effects of re-mapping the oligo probes onto the
updated genome on high-level analyses of microarray data, BNI&IFBT2006, Beijing,
9.
Xuegong Zhang, Machine learning in high-throughput genomics and
proteomics, Tutorial at ICONIP2006
(http://iconip2006.cse.cuhk.edu.hk/program/Tutorial-3), Hong Kong, Oct.3, 2006
10.
Fang
Fang, Xuegong Zhang and Michael Q.
Zhang, Computational studies in epigenetics, The First International
Conference on Computational Systems Biology, Shanghai,
11. Xuegong
Zhang, Building gene
networks by fusing literature and microarray data, Transcripteom 2005, Shanghai, Nov.5-9, 2005
12. Xuegong
Zhang, Computational
Analysis of Haplotype Blocks and Human Recombination Hotspots, Changchun International Bioinformatics
Workshop, Changchun,
13.
张学工，再看高通量表达数据的机器学习分析，东方科技论坛：计算生物学最新进展，上海，2005年7月2日
14.
Xuegong Zhang, Computation Analysis of Human Recombination
Hotspots, 1st International Workshop on
Computational and Systems Biology, Beijing,
15.
张学工, 生物信息学中的若干计算问题，中国计算机学会青年计算机科技论坛，2005年4月22日
16.
Xuegong Zhang, Learning Specific Gene Relation Networks from
Literatures, 2005 Sina-German Workshop on
Networks: from Biology to Theory, Beijing,
17.
Xuegong Zhang, SVM and Its Application Examples in Computational
Biology, CSHL bioinformaics seminar,
18.
Xuegong Zhang, Computational Analysis of Haplotype Blocks and
Recombination Hotspots, Dr. Jun Liu’s lab
seminar at Harvard University,
19.
Xuegong
Zhang, Significance of
Gene Ranking for Classification of Microarray Samples, SRCCS 2004
International Workshop for Statistics, Seoul National University, Korea, June
2004
20.
Xuegong
Zhang, Considerations on
Sample Classification and Gene Selection with Microarray Data using Machine
Learning Approaches, Statistical Method in Microarray Analysis Workshop at
NUS, Singapore, Jan 2004
21.
张学工，基因表达数据中模式识别问题的一些特点，中国科协中国科学青年科学家论坛第81次论坛“生物信息学中的若干前沿问题的探讨”，2003年11月28-29日
Selected
Publications
2008
Tao Peng, Chenghai Xue, Jianning Bi, Tingting Li, Xiaowo Wang, Xuegong Zhang and Yanda Li, Functional importance of different patterns of correlation between adjacent cassette exons in human and mouse, BMC Genomics, in press
Xiaowo Wang, Xuegong Zhang, Yanda Li, Complicated evolutionary patterns of microRNAs in Vertebrates, Science in China, in press
Bo Jiang, Xuegong Zhang, Tianxi Cai, Estimating the confidence interval for prediction errors of support vector machine classifiers, Journal of Machine Learning Research, 9(March): 521-540, 2008
Xuesong Lu, Xin Lu, Zhigang C. Wang, J. Dirk Iglehart, Xuegong Zhang and Andrea L. Richardson, Predicting features of breast cancer with gene expression patterns, Breast Cancer Research and Treatment, 108(2): 191-201, March 2008 (published online: May, 2007) (4.671)
Tingting Li, Fei Li, Xuegong Zhang,
Prediction of kinase-specific phosphorylation sites with sequence features by a
log-odds ratio approach, Proteins:
Structure, Function, and Bioinformatics, in press (published online: 6 Aug 2007)
2007
Yonghong Peng, Xuegong Zhang, Guest Editorial: Integrative data mining in systems biology: from text to network mining, Artificial Intelligence in Medicine, 41(2): 83-86, 2007
Tingting Li, Hu Fu, and Xuegong Zhang, Prediction of kinase-specific phosphorylation sites by one-class SVMs, Proceedings of 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2007), pp. 217-222, 2007
Xi Wang, Sanghamitra Bandyopadhyay, Zhenyu Xuan, Xiaoyue Zhao, Michael Q. Zhang, Xuegong Zhang, Prediction of transcription start site based on feature selection using AMOSA, CSB2007 Conference Proceedings, volume 6, pp.183-193, San Diego, Aug 13-17, 2007
Bo Jiang, Michael
Q. Zhang, Xuegong Zhang, OSCAR:
one-class SVM for accurate recognition of cis-elements, Bioinformatics, 23(5): 531-537, 2007
Shicai Fan, Fang Fang, Xuegong Zhang,
Michael Q. Zhang, Putative
zinc finger protein binding sites are enriched in the boundaries of
methylation-resistant CpG islands in the human genome, PLoS ONE,
2(11): e1184, 2007
Jin Gu, Hu Fu, Xuegong Zhang,
Yanda Li, Identifications of conserved 7-mers in the 3’-UTRs and microRNAs in
Drosophila, BMC
Bioinformatics, 8:432, 2007
S Li, ZQ Zhang, LJ Wu, XG Zhang, YD Li, YY Wang Understanding ZHENG in Traditional Chinese Medicine in the context of neuro-endocrine-immune network, IEE Systems Biology, 1(1): 51-60, 2007
Jing Zhang, Bo Jiang, Ming Li, John Tromp, Xuegong Zhang and Michael Q. Zhang, Computing exact P-values for DNA motifs, Bioinformatics, 23(5): 531-537, 2007
Jian Huang, Pei Hao, Yun-Li Zhang, Fu-Xing Deng, Qing Deng, Yi Hong, Xiao-Wo Wang, Yun Wang, Ting-Ting Li, Xue-Gong Zhang, Yi-Xue Li, Pen-Yuan Yang, Hong-Yang Wang, Ze-Guang Han, Discovering multiple transcripts of human hepatocytes using massively parallel signature sequencing (MPSS), BMC Genomics, 8: 207, 2007
Chaolin Zhang, Xuegong Zhang, Michael Q. Zhang, Yanda Li, Neighbor number, valley seeking and clustering, Pattern Recognition Letters, 28: 173-180, 2007
2006
Jun Li, Michael Q. Zhang, Xuegong Zhang, A new method for detecting human recombination hotspots and its applications to the HapMap ENCODE data, American Journal of Human Genetics, 79: 628-639, Oct 2006
Shao Li, Ruiqin Wang, Yulong Zhang, Xuegong Zhang, A. Joseph Layon, Yanda Li and Mingzhe Chen, Symptom combinations associated with outcome and therapeutic effects in a cohort of cases with SARS, The American Journal of Chinese Medicine, 34(6): 937-947, 2006
Jin Gu, Tao He, Yunfei Pei, Fei Li, Xiaowo Wang, Jing Zhang, Xuegong Zhang, Yanda Li, Primary transcripts and expressions of mammal intergenic microRNAs detected by mapping ESTs to their flanking seqeuences, Mammalian Genome, 17: 1033-1041, 2006
Chaolin Zhang, Xuegong Zhang, Michael Q. Zhang, Yanda Li, Neighbor number, valley seeking and clustering, Pattern Recognition Letters, 28: 173-180, 2006
Fang Fang, Shicai Fan, Xuegong Zhang and Michael Q. Zhang, Predicting methylation status of CpG islands in the human brain, Bioinformatics, 22(18): 2204-2209, 2006
Xuesong Lu, Xuegong Zhang, The effect of GeneChip gene definitions on the microarray study of cancers, BioEssays, 28(7): 739-746, 2006
Chaolin Zhang, Xuesong Lu, Xuegong Zhang, Significance of gene ranking for classification of microarray samples, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3(3): 312-320, 2006
Xuegong Zhang, Xin Lu, Qian Shi, Xiu-qin Xu, Hon-chiu E Leung, Lyndsay N Harris, James D Iglehart, Alexander Miron, Jun S Liu and Wing H Wong, Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data, BMC Bioinformatics, 7:197, 2006 (10Apr2006)
刘沭华，张学工，周群，孙素琴，近红外漫反射光谱法和模式识别技术鉴别中药材产地，《光谱学与光谱分析》，26(4): 629-632, Apr. 2006
许建华，张学工，经典线性算法的非线性核形式，《控制与决策》，vol.21, no.1, pp. 1-12, 2006
Xu Jian-hua, Zhang, Xue-gong, Li Yan-da, Regularized kernel forms of minimum squared error method, Front. Electr. Electron. Eng. China, (2006)1: 1-7
Jianhua XU, Xuegong Zhang, Suqin Sun. Tuning SVM Parameters for Classifying Geographical Origins of Chinese Medical Herbs. International Journal of Wavelet, Multimedia and Information Processing, 2006, 4(3)
2005
Shicai Fan & Xuegong Zhang, Characterizing the microenvironment surrounding phosphorylated protein sites, Genomics, Proteomics & Bioinformatics, 3(4): 213-217, 2005
S. Weng, C. Zhang, Z. Liu, and X. Zhang, Mining the structural knowledge of high-dimensional medical data using Isomap, Medical & Biological Engineering & Computing, 43(3): 410-412, 2005
Jianhua Xu, Xuegong Zhang. A Multiclass Kernel Perceptron Algorithm. In: Proceedings of International Conference on Neural Networks and Brain (Mingsheng Zhao and Zhongzhi Shi, editors). Vol. 2, pp. 717-721, Oct. 13-15, 2005, Beijing, China. New York: IEEE Press
Chenghai Xue, Fei Li, Tao He, Guoping Liu, Yanda Li, Xuegong Zhang, Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine, BMC Bioinformatics, 6: 310, 2005
Xiangqing Sun, Zhongqi Zhang, Yulong Zhang, Xuegong Zhang, Yanda Li, Multi-locus penetrance variance analysis method for association study in complex diseases, Human Heredity, 60(3): 143-149, 2005
Xiaowo Wang, Jing Zhang, Fei Li, Jin Gu, Tao He, Xuegong Zhang, Yanda Li, MicroRNA identification based on sequence and structure alignment, Bioinformatics, 21(18): 3610-3614, 2005
Jianning Bi, Huiyu Xia, Fei Li, Xuegong Zhang, Yanda Li, The effect of U1 snRNA binding free energy on the selection of 5' splice sites, Biochemical and Biophysical Research Communications, 333: 64-69, 2005
刘沭华，张学工，周群，孙素琴，模式识别和红外光谱法相结合鉴别中药材产地，《光谱学与光谱分析》，2005，v.25, no.6, 878-881 (Use of FTIR and pattern recognition to detemine geographical origins of Chinese midical herbs, Spectroscopy and Spectral Analysis)
Shuhua Liu, Xuegong Zhang, Suqin Sun, Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy, Chinese Science Bulletin, 50(2): 179-184, 2005
Keyue Ding, Jing Zhang, Kaixin Zhou, Yan Shen, Xuegong Zhang, htSNPer1.0: software for haplotype block partition and htSNPs selection, BMC Bioinformatics, 6:38, 2005 (1 March 2005)
Keyue Ding, Kaixin Zhou, Jing Zhang, Joanne Knight, Xuegong Zhang, Yan Shen, The effect of haplotype block definations on inference of haplotype block structure and htSNPs selection, Molecular Biology and Evolution, 22(1): 148-159, 2005
2004
Jing Zhang, Fei Li, Jun Li, Michael Q. Zhang, Xuegong Zhang, Evidence and characteristics of putative human alpha recombination hotspots, Human Molecular Genetics, 13(22): 2823-2828, 2004
Xi Ma, Jun Cai, Wei Hu, Yimin Zhang, Yanda Li, Xuegong Zhang, Discovering possible
context dependences around SNP Sites in human genes with Bayesian wetwork
learning, ICARCV 2004, pp.1315-1319,
Dec.2004
Xuesong Lu, Yanda Li, Xuegong
Zhang, A simple strategy for detecting outlier samples in microarray data, ICARCV 2004, pp.1331-1335, Dec.2004
孙向青，贾彦彬，张学工，许琪，沈岩，李衍达，多巴胺通路的基因与精神分裂症风险的多位点关联研究，《中国科学》（C辑），34(5): 465-470, 2004
X-Q. Xu, C.K. Leow, X. Lu, X. Zhang, J.S. Liu, W.H. Wong, A. Asperger, S. Deininger, H.E. Leung, Molecular classification of liver cirrhosis in a rat model by proteomics and bioinformatics, Proteomics, 4: 3235-3245, 2004
Jianhua Xu, Xuegong Zhang, A learning algorithm with Gaussian regularizer for kernel neuron, Advances in Neural Networks – ISNN 2004, part I, pp.252-257, Dalian, Aug., 2004
Jianhua Xu, Xuegong Zhang, Kernels based on weighted Levenshtein distance, IJCNN2004, pp.3015-3018, Budapest, July 2004
许建华，张学工，李衍达，支持向量机的新发展，《控制与决策》，vol.19,no.5, pp.481-484, 2004年5月
李衍达，张学工，李飞，生命信息技术前沿热点—小RNA基因及基因组非编码区的信息挖掘，中国科学院《2004高技术发展报告》，科学出版社，2004年3月 pp. 124-131
Fang Wen, Fei Li, Huiyu Xia, Xin Lu, Xuegong Zhang, Yanda Li, The impact of very short alternative splicing on protein structures and functions in the human genome, Trends in Genetics, vol.20, no.5, May 2004, pp.232-236
Xuesong Lu, Xing Wang, Ying Huang, Wei Hu, Guang R. Gao, Yanda Li, Xuegong Zhang, On some choices in Bayesian network learning for reconstructing regulatory networks, Proceedings of RECOMB04, March 2004, pp. 126-127
Chaolin Zhang, Yanda Li, Xuegong Zhang, gMap: extracting and interactively visualizing nonlinear relationships of genes from expression, Proceedings of RECOMB04, March 2004, pp. 228-229
许建华，张学工，李衍达，最小平方误差算法的正则化核形式，《自动化学报》，vol.30, no.1, Jan. 2004, pp.27-36
2003
李岩，张学工，应用图像处理方法自动检测路口车辆排队长度，《计算机应用与软件》，vol.20, n.12, pp.47-49, 2003
Jianhua Xu, Xuegong Zhang, Yanda Li, Sparse training procedure for kernel neuron, IEEE Int. Conf. Neural Networks & Signal Processing, Nanjing, China, Dec.14-17, 2003, pp49-53
Xiaotong Shen, George C. Tseng, Xuegong Zhang, Wing Hung Wong, On psi-learning, Journal of the American Statistical Association, vol.98: number: 463, pp.724-734, Sept. 2003
李梢，张学工，季梁，李衍达，复杂性疾病生物信息学研究的策略与方法，《世界华人消化杂志》（World Chinese Journal Digestology）, v.11, n.10, 1465-1469，Oct. 2003
O'Hagan RC, Brennan CW, Strahs A, Zhang X, Kannan K, Donovan M, Cauwels C, Sharpless NE, Wong WH, Chin L., Array Comparative Genome Hybridization for Tumor Classification and Gene Discovery in Mouse Models of Malignant Melanoma. Cancer Res. 63(17):5352-5356, Sept.1, 2003
Wenkai Lu, Xuegong Zhang, Yanda Li, Multiple removal based on detection and estimation of localized coherent signal, Geophysics, vol.68, no.2, pp.745-750, Mar. 2003
许建华，张学工，李衍达，基于核函数的非线性口袋算法，《电子学报》，vo.31, no.4, 612-615, 2003.4
吴翔，谭李，陆文凯，张学工，提高超大规模SVM训练计算速度的研究，《模式识别与人工智能》，vol.16, no.1, 2003, pp.46-49
2002
许建华，张学工，李衍达，经典线性算法核化研究的新进展，第十二届全国神经计算学术大会（特邀论文），pp.117-122，2002
许建华，张学工，李衍达，基于最小二乘支持向量机的油气判别技术，《模式识别于人工智能》，v.15, n.4, 507-509, 2002年12月
吴君文，张学工，应用小波变换和PCA进行车辆的静态图像检测，《清华大学学报》，v.42, n.11, 2002, pp.1560-1564
熊高君，张学工，贺振华，吴正伯，三维定位原理与三维反射波长模拟，《矿物岩石》，vol.22, no.3, pp.93-97, 2002
阎辉，张学工，马云潜，李衍达，“基于变异函数的径向基核函数参数估计”，《自动化学报》，vol.28, no.3, 2002, pp.450-455
许建华，张学工，李衍达，“一种基于核函数的非线性感知器算法”，《计算机学报》，v.25, n.7, 2002, pp.689-695
Kou, Z., Ji, Liang & Zhang, X., Karyotyping of comparative genomic hybridization human metaphases by using support vector machines, Cytometry, v.47, n.1, pp.17-23, 2002
Kai Yu, Liang Ji, Xuegong Zhang, Kernel nearest-neighbor algorithm, Neural Processing Letters, vol.15, no.2, 2002, pp.147-156
阎辉，张学工，李衍达，“基于核函数的最大间隔聚类算法”，《清华大学学报（自然科学版）》，v.42, n.1, 2002, pp.132-134
许建华，张学工，李衍达，“应用核Fisher判别技术预测油气储集层”，《石油地球物理勘探》，vol.37, n.2, 2002, pp.170-174
2001
阎辉，张学工，李衍达，“支持向量机与最小二乘法的关系研究”，《清华大学学报（自然科学版）》，v.41, n.9, 2001, pp.77-80
冯占林，张学工，李衍达，“基于小波变换的地震勘探数据压缩的工程分析”，《清华大学学报（自然科学版）》，v.41, n.4/5, April, 2001, pp.170-173
阎辉，张学工，张贤达，“基于小波变换的自适应多井对比技术”，《石油物探》，vol.40, n.1, 2001.3, pp.49-55
陆文凯，张学工，李衍达，何汉漪，温书亮，刘永江，“时间域零炮检距地震道拟合”，《石油地球物理勘探》，vol.36, n.1, 2001, pp.56-59
冯太林，张学工，李衍达，白天成，李云，杨贵祥，陆修莲，“折射波地震记录叠加成像方法研究”，《地球物理学报》，v.44, n.1, 2001, pp.129-134
Jianhua XU, Xuegong ZHANG, Yanda LI. Kernel Neuron and its Training Algorithm. Proc. of 8th Intl Conf on Neural Information Processing, Vol.2, pp. 861-866, Shanghai, China, Nov., 2001
Zhenzhen Kou, Jianhua Xu, Xuegong Zhang, Liang Ji，An Improved Support Vector Machine Using Class-Median Vectors. Proc. of 8th Intl Conf on Neural Information Processing, Vol. 2, pp. 883-887, Shanghai, China, Nov., 2001
Junwen Wu, Xuegong Zhang & Jie Zhou, Vehicle detection in static road images with PCA-and-wavelet-based classifier, Proc. of IEEE ITSC 2001, pp.742-746, Aug. 2001
Junwen Wu & Xuegong Zhang, A PCA classifier and its application in vehicle detection, Proc. of IJCNN’01, pp. 600-604, July 2001
Haixin Ke & Xuegong Zhang, Editing support vector machines, Proc. of IJCNN’01, pp.1464-1467, July 2001
Jianhua Xu, Xuegong Zhang & Yanda Li, Large margin kernel pocket algorithm, Proc. of IJCNN’01, pp.1480-1485, July 2001
Jianhua Xu, Xuegong Zhang & Yanda Li, Kernel MSE algorithm: a unified framework for KFD, LS-SVM and KRR, Proc. of IJCNN”01, pp.1486-1491, July 2001
冯太林，张学工，李衍达，“三分量地震资料野外采集应遵守的重要原则”，《物探与化探》，vol.25, no.1, 2001年2月，pp.70-74
2000
Kun-Peng Li, Yan-Da Li, Xue-Gong Zhang, “A method to compensate earth filtering based on wavelet packet”, Chinese Journal of Geophysics, vol.43, no.4, 2000, pp.576-583
Hui Yan, Kun-Peng Li, Xue-Gong Zhang, Yan-Da Li, “The application of wavelet transform in automatic segmentation”, Chinese Journal of Geophysics, vol.43, no.4, 2000, pp.602-608
Xuegong Zhang & Haixin Ke, “ALL/AML cancer classification by gene expression data using SVM and CSVM approach”, Genome Informatics 2000, Universal Academy Press, (The 11th Workshop on Genome Informatics - GIW2000), Dec. 2000, Tokyo, pp.237-239
Yan Hui, Zhang Xuegong, Zhang Xianda, “Training support vector machines: an application in welllog data classification”, Proc. of 5th Intl. Conf. On Signal Processing (ICSP2000), vol.3, pp.1427-1431, Aug., 2000
Yan Hui, Zhang Xuegong, Li Yanda, Shen Liqin, Zhu Weibin, “The signal reconstruction of speech by KPCA”, Proc. of 6th Intl. Conf. On Spoken Language Processing (ICSLP2000), vol.III, pp.91-94, Oct., 2000
Wenkai Lu, Xuegong Zhang, Yanda Li, Liqin Shen, Weibin Zhu, Joint speech signal enhancement based on spectral subtraction and SVD filter, Proc. of 6th Intl. Conf. On Spoken Language Processing (ICSLP2000), vol.III, pp.656-659, 2000
阎辉，张学工，李衍达，“应用SVM方法进行沉积微相识别”，《物探化探计算技术》，vol.22, no.2, May 2000, pp.158-164
阎辉，张学工，李衍达，“应用自组织神经网络进行自动地层划分的设计与实现”，《模式识别与人工智能》，vol.13, no.3, Sept. 2000, pp.309-313
张学工，“关于统计学习理论与支持向量机”，《自动化学报》，vol.26, no.1, 2000.1,
32-42
马云潜、张学工，“支持向量机函数拟合在分形插值中的应用”，《清华大学学报》, vol.40, no.3, 2000.3, 76-78
李鲲鹏，李衍达，张学工， “基于小波包分解的地层吸收补偿”，《地球物理学报》，vol.43, no.4, 2000.7, 542-549
阎辉，李鲲鹏，张学工，李衍达，“测井曲线的小波变换特性在自动分层中的应用”，《地球物理学报》，vol.43, no.4, 2000.7, 568-573
冯太林 张学工等，“三维三分量地震资料交互处理系统PSD3的研制”，31，中国地球物理学会年刊2000，中国地球物理学会编，中国地质大学出版社，2000.9
冯太林 张学工等，“三维转换波地震资料CCP道集快速抽取”，32, ibid.
冯太林 张学工等，“多次覆盖地震记录中的折射波成像”，33, ibid.
阎辉，张学工，李衍达，“一种新的主成分分析方法”，
312, ibid.
1999 and before
Xuegong Zhang, Using class-center vectors to build support vector machines, Neural Networks for Signal Processing IX - Proceedings of the 1999 IEEE Workshop, IEEE Inc., 3-11, 1999.8
Xuegong Zhang, Collaboration of information from different sources for petroleum reservoir prediction, Proc. of the 2nd Int'l Conf. On Information Fusion, Sunnyvale, USA, 1085-1089, 1999.7
Wenkai Lu, Xuegong Zhang & Yanda Li, Petroleum reservoir framework prediction by information fusion, Proc. of the 2nd Int'l Conf. On Information Fusion, Sunnyvale, USA, 1090-93, 1999.7
Ke Zhang, Xuegong Zhang & Yanda Li, Improving resolution of seismic sections based on method of information fusion with well-log data, Proc. of the 2nd Int'l Conf. On Information Fusion, Sunnyvale, USA, 1150-1155, 1999.7
Tailin Feng & Xuegong Zhang, Complex Analysis Theory and Its Application, The 1st Int'l Conf. on Advances in Structural Engineering and Mechanics, Seoul, Korea, 1999.8
Tailin Feng & Xuegong Zhang, Comparative Study between Multi-wave Seismic Exploration and P-wave’s, The 1st Int'l Conf. on Advances in Structural Engineering and Mechanics, Seoul, Korea, 1999.8
章珂、张学工等，“多尺度时变地震信号反褶积”，《信号处理》, vol.14, no.4, 296-303, 1998.12
章珂、张学工等，“一种新的地震子波估计方法”，《信号处理》, vol.14, no.3, 226-232, 1998.9
张学工、盛硕、李衍达，“几种现代信息处理技术和计算机网络在勘探地球物理中的应用”，《地球物理学报》,
vol.40, 增刊, 1997
Xuegong Zhang et.al., Estimating reservoir’s lithological parameters from seismic data using neural network, SEG 65th Annual Meeting, Houston, USA, 1995.10
Xuegong Zhang et.al, Early-stage reservoir analysis with SOMA - a neural network approach, SEG 65th Annual Meeting, Houston, USA, 1995.10
张学工、刘业新、李衍达, “综合应用智能信息处理技术进行油藏描述的基本思想”，《计算机智能接口与智能应用的新进展》，清华大学出版社，1995.7
Books and Book Chapters
1. V. Vapnik著，许建华、张学工译，《统计学习理论》，电子工业出版社，2004.6
2. 边肇祺、张学工等编著，《模式识别》(第二版)，清华大学出版社，2000.1
3. V. Vapnik著，张学工译，《统计学习理论的本质》，清华大学出版社，2000.8
4.
张学工、刘业新编著, 《X Window /Motif编程速成》，清华大学出版社，1998.3
5. Xuegong Zhang and Yanda Li, The application of artificial neural networks in editing noisy seismic data, Chapter 7, in F.Aminzadeh & M. Jamshidi eds., Soft Computing: Fuzzy Logic, Neural Networks, and Distributed Artificial Intelligence, PTR Prentice Hall, NY, 1994