发表文章

2016

  1. Identify bilayer modules via pseudo-3D clustering: applications to miRNA-gene bilayer networks, Nucleic Acids Research, 2016, doi: 10.1093/nar/gkw679 (SCI, IF=9.202)
  2. eSNPO: An eQTL-based SNP Ontology and SNP functional enrichment analysis platform. Scientific Reports, 2016,6, 30595; doi: 10.1038/srep30595 (SCI, IF=5.228)
  3. SGFSC: speeding the gene functional similarity calculation based on hash tables. BMC Bioinformatics. 2016, 17:445(SCI, IF=2.435)
  4. A robust local sparse coding method for image classification with Histogram Intersection Kernel. Neurocomputing, 2016, 184: 36–42 (SCI, IF=2.005)
  5. MiRTDL: a deep learning approach for miRNA target prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics(TCBB), 2016, 16(3): 1161-1169 (SCI, IF=1.605)
  6. EnPC: an ensemble clustering framework for detecting protein complexes in protein-protein interaction network. Current Proteomics, 2016, 13(2): 143-150(SCI, IF=0.59)
  7. Construct Protein-Protein Interaction Network based on domain-domain interactions. Journal of Harbin Institute of Technology(New Series), 2016, 23(4): 27-36(EI)
  8. Reconstructing gene regulatory network based on candidate auto selection method. In the Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016). Shenzhen, China, 2016(EI)
  9. Constructing an integrated gene similarity network for the identification of disease genes. In the Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016). Shenzhen, China, 2016(EI)
  10. Epistasis detection using a permutation-based gradient boosting machine. In the Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016). Shenzhen, China, 2016:1-6(EI)
  11. 基于正负样例的蛋白质功能预测. 计算机研究与发展. 2016, 53 (8): 1753-1765 (EI)
  12. 动态-静态混合的时序蛋白质网络构建方法. 哈尔滨工业大学学报. 2016,48(11):41-46(EI)

2015

  1. HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. Bioinformatics, 2015, 31(15): 2475-2481 (SCI, IF=4.981)
  2. A gene-based information gain method for detecting gene-gene interactions in case-control studies. European Journal of Human Genetics, 2015, 23: 1566-1572 (SCI, IF=4.349)
  3. SeedsGraph: an efficient assembler for next generation sequencing data. BMC Medical Genomics, 2015, 8(Suppl 2): S13 (SCI, IF=3.91)
  4. An overview of SNP interactions in genome-wide association studies. Briefings in Functional Genomics. 2015, 14(2): 143-155 (SCI, IF=3.427)
  5. Integrating multiple networks for protein function prediction, BMC Systems Biology, 2015, 9(Suppl 1): S3(SCI, IF=2.853)
  6. Harmonious competition learning for Gaussian mixtures. Neurocomputing, 2015, 170: 228–239(SCI,IF=2.005)
  7. Actively constructing an effective training set by expected gain maximization criterion. Neurocomputing, 2015, 158: 62–72(SCI,IF=2.005)
  8. Mining disease genes using integrated protein–protein interaction and gene–gene co-regulation information. FEBS Open Bio, 2015, 5: 251–256(SCI,IF=1.515)
  9. imDC: an ensemble learning method for imbalanced classification with miRNA data. Genetics and Molecular Research, 2015, 14 (1): 123-133 (SCI, IF=1.013)
  10. 非负局部约束线性编码图像分类算法。自动化学报,2015, 41(7): 1235-1243(EI)
  11. 基于加性噪声模型的基因调控网络构建算法[J]. 哈尔滨工业大学学报, 2015, 47(11):22-26(EI)
  12. 基于信息增益理论的整体基因中基因互作挖掘方法。中国科技论文。2015,10(2):186-191

2014

  1. Inferring the soybean (Glycine max) microRNA functional network based on target gene network. Bioinformatics, 2014, 30(1): 94–103 (SCIIF=5.323)
  2. SoyFN: a knowledge database of soybean functional networks. DATABASE – The Journal of Biological Databases and Curation(Oxford), 2014: bau019 (SCIIF=4.200)
  3. An overview of SNP interactions in genome-wide association studies. Briefings in Functional Genomics. Doi: 10.1093/bfgp/elu036(SCI, IF= 4.126)
  4. A least square method based model for identifying protein complexes in protein-protein interaction network. BioMed Research International, 2014, 720960:1-9(SCI, IF:2.706)
  5. CPL: Detecting protein Complexes by Propagating Labels on protein-protein interaction network. Journal of Computer Science and Technology, 2014, 29(6): 1083-1093 (SCI, IF=0.642)
  6. Identification of functional miRNA regulatory modules and their associations via dynamic miRNA regulatory function. BIBM, 2014
  7. 一种蛋白质复合体模块度函数及其识别算法. 计算机研究与发展。2014, 51(10): 2178-2186 (EI)
  8. SVM与主动学习方法相结合的蛋白质相互作用预测. 计算机科学,2014, 41(2): 82-86

2013

  1. LNETWORK: an efficient and effective method for constructing phylogenetic networks. Bioinformatics, 2013, 29(18): 2269-2276 (SCIIF=5.323)
  2. Measuring gene functional similarity based on group-wise comparison of GO terms. Bioinformatics, 2013, 29(11): 1424–1432 (SCIIF=5.323)
  3. Prediction of microRNAs associated with human diseases based on weighted k most similar neighbors. PLoS ONE, 2013, 8(8) : e70204 (SCIIF=4.411)
  4. A novel insight into gene ontology semantic similarity. Genomics, 2013, 101(6): 368–375 (SCIIF=2.958)
  5. Computational approaches on detecting non-coding RNA. Current Genomics. 2013, 14(6): 371-377(SCI, IF=2.408)
  6. BIMLR: A method for constructing rooted phylogenetic networks from rooted phylogenetic trees, Gene, 2013, 527(Issue 1): 344–351 (SCIIF=2.196)
  7. A probabilistic model of active learning with multiple noisy oracles. Neurocomputing, 2013, 118: 253–262 (SCIIF=1.634)
  8. Relationship of common expression quantitative trait loci genes to the immune system. Genetics and Molecular Research, 2013, 12 (4): 6546-6553 (SCIIF=0.994)
  9. MLPA: Detecting overlapping communities by multi-label propagation approach, accepted 2013 IEEE Congress on Evolutionary Computation(IEEE CEC 2013), June 20-23, Cancún, México: 681-688(EI)
  10. Effective constructing training sets for object detection. 2013 IEEE International Conference on Image Processing. Sep. 15-18, 2013, Melbourne, Australia: 3377-3380 (EI)
  11. A new distance computing method for DNA sequences in phylogenetic analysis. 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2013), July 23-25, 2013, Shenyang, China: 713-717(EI)

2012

  1. Understanding microRNA regulation: A computational perspective. IEEE Signal Processing Magazine,2012,29(1):77-88(SCIIF=5.86)
  2. Understanding microRNA regulation: A computational perspective. IEEE Signal Processing Magazine,2012,29(1):77-88(SCI,IF=5.86)
  3. Feature selection for monotonic classification. IEEE Transactions on Fuzzy Systems, 2012, 20(1): 69-81(SCI,IF=3.34)
  4. FastJoin, an improved neighbor-joining algorithm. Genetics and Molecular Research, 2012,11 (3): 1909-1922(SCI,IF=0.682)
  5. A relational learning algorithm combining relational tri-training and relational instance-based learning. Journal of information and computational science, 2012, 9(2): 425-436(EI)
  6. Phase transition and new fitness function based genetic inductive loigc programming algorithm. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation:956-963, Brisbane, Australia(EI)
  7. Connection of the beam width and the learning success rate in the phase transition framework for relational learning, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012), 29-31 May 2012, Chongqing, China: 865-869(EI)
  8. Fitness function based on binding and recall rate for genetic inductive logic programming, the 2012 International Conference on Swarm Intelligence(ICSI 2012), June 17 –20, 2012, Shenzhen, China(EI)
  9. 基于采样策略的主动学习算法研究进展。计算机研究与发展. 2012, 49(6): 1162−1173(EI)
  10. 植物抗性基因识别中的随机森林分类方法. 计算机科学与探索. 2012, 6(1): 67−77
  11. 关系tri-training: 利用无标记数据学习一阶规则. 计算机科学与探索, 2012, 6(5): 430-442

2011

  1. PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. Bioinformatics, 2011, 27 (10): 1368–1376(SCI,IF=4.926)
  2. MaturePred: efficient identification of microRNAs within novel plant pre-miRNAs. PLoS ONE, 2011, 6(11): e27422(SCI,IF=4.411)
  3. QTL underlying resistance to two HG types of Heterodera glycines found in soybean cultivar ‘L-10’. BMC Genomics 2011, 12:233(SCI,IF=3.76)
  4. A new co-training-style random forest for computer aided diagnosis. Journal of Intelligent Information Systems, 2011, 36(3): 253–281(SCI,IF=0.875)
  5. Tri-training and MapReduce-based massive data learning. International Journal of General Systems, 2011, 40(4): 355–380(SCI,IF=0.826)
  6. Novel representation of RNA secondary structure used to improve prediction algorithms. Genetics and Molecular Research. 2011, 10 (3): 1986-1998(SCI,IF=0.682)
  7. Genetic algorithm-based efficient feature selection for classification of pre-miRNAs. Genetics and Molecular Research, 2011, 10(2): 588-603(SCI,IF=0.682)
  8. Web page classification using relational learning algorithm and unlabeled data. Journal of Computers, 2011, 6(3): 474-479(EI)
  9. Detection of playfield with shadow and its application to player tracking. 2011 IEEE International Workshop on Machine Learning for Signal Processing, September 18-21, 2011, Beijing, China(EI)
  10. Active learning with optimal distribution for image classification. The 2nd International Conference on Multimedia Technology (ICMT2011), July 26-28, 2011, Hangzhou, China: 132-136(EI)
  11. 生物信息学中的文本挖掘方法,计算机工程与设计. 2011, 32(12):4075-4078

2010

  1. Simple sequence-based kernels do not predict protein-protein interactions. Bioinformatics, 2010, 26(20): 2610-2614(SCI,IF=4.926)
  2. Fuzzy preference based rough sets. Information Sciences, 2010, 180(10): 2003-2022(SCI,IF=3.291;EI)
  3. Information entropy for ordinal classification. Science in China Series FInformation Sciences. 2010, 53(6): 1188-1200(SCI)
  4. DuplexFinder: Predicting the miRNA–miRNA* duplex from the animal precursors. Int. J. Bioinformatics Research and Applications, 2010, 6 (1): 69-81
  5. Mining SNPs from EST sequences using filters and ensemble classifiers. Genetics and Molecular Research (GMR), 2010, 9 (2): 820-834(SCI,IF=0.682)
  6. Sequence analysis based adaptive hierarchical clustering approach for admixture population structure inference. Journal of Information & Computational Science, 2010, 7(13): 2589-2597(EI)
  7. Genomic analysis of microRNA promoters and their cis-acting elements in soybean. Agricultural Sciences in China, 2010, 9(11): 1561-1570(SCI)
  8. A graph and hierarchical clustering based approach for population structure inference. 2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010, August 2-4, Niagara Falls, New York, USA:346-349(EI)
  9. Two-stage clustering based effective sample selection for classification of premiRNAs. IEEE International Conference on Bioinformatics & Biomedicine 2010 (IEEE BIBM 2010), 18-21 Dec 2010, Hong Kong
  10. SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2010): 2229-2233, 10-12 August, 2010, Yantai, Shandong, China(EI,ISTP)
  11. EST clustering in large dataset with MapReduce. 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA2010): 968-971, September 17-19, 2010, Harbin, China(EI)
  12. Automatically Detecting Lung Nodules Based on Shape Descriptor and Semi-Supervised Learning. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), Taiyuan, China. October 22-24, 2010, v1647-650(EI)
  13. A Novel Center Star Multiple Sequence Alignment Algorithm Based on Affine Gap Penalty and K-Band. 2010 International Conference on Services Science, Management and Engineering(SSME2010), Dec 26-28, 2010, Tianjin, China: 50-52
  14. 类别不平衡的分类方法及在生物信息学中的应用. 计算机研究与发展,2010, 47(8): 1407-1414(EI)
  15. 多序列比对算法的研究进展. 生物信息学2010,8(4):311-315

2009

  1. A hybrid clustering and graph based algorithm for tagSNP selection. Soft Computing, 2009,13(12):1143-1151(SCI,IF=1.328;EI)
  2. A new co-training-style random forest for computer aided diagnosis. Journal of Intelligent Information Systems, 2009, 33(3) (SCI,IF=1.07)
  3. A site-clustering graph based tagSNP selection algorithm in genotype data. BMC Bioinformatics, 2009, 10 (Suppl 1):S71-82(SCI,IF=3.78;EI)
  4. Predicting RNA secondary structure based on the class information and Hopfield network. Computers in Biology and Medicine. 2009,39(3):206-214(SCI,IF=1.27;EI)
  5. Sea battle-filed simulation based on Vega. Journal of Harbin Institute of Technology, 2009, 16(1): 1-4(EI)
  6. Novel H/ACA box snoRNA Mining and Secondary Structure Prediction Algorithms. The 4th International Conference on Rough Sets and Knowledge Technology (RSKT2009), Gold Coast, Australia, 14th-16th July, 2009. LNAI, 5589: 538-546(EI,ISTP)
  7. A study on autonomous video navigation in close range with a cooperative target. 6th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR 2009) v 7496, October 30 – November 1, 2009, Yichang, China(EI)
  8. A novel superresolution algorithm based on standard displacements. 6th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR 2009) v 7498, October 30 – November 1, 2009, Yichang, China(EI)
  9. 一种快速的多序列星比对算法。电子学报,2009,37(8): 1746-1750(EI)
  10. 基于直推式支持向量机的图像检索研究. 模式识别与人工智能,2009,22(5):774-779 (EI)
  11. 一种基于关键字树的DNA数据库搜索算法. 小型微型计算机系统. 2009, 30(10):1944-1947
  12. 质心法:受类别驱动的RNA二级结构预测方法. 南京大学学报. 2009, 45(5): 677-688
  13. 生物信息学中的学习问题. 山东大学学报. 2009, 39(3):1-6
  14. 基于线粒体SNP的疾病人群分类方法研究. 2009中国计算机大会.CNCC 2009
  15. 一种适合大豆MicroRNA鉴定的RT-PCR方法. 大豆科学,2009,28(4):600-604

2008

  1. A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joining. BMC bioinformatics, 2008, 9(Suppl 6):S4(SCI,IF=3.78;EI)
  2. A new approach to evolutionary tree reconstruction combining particle swarm optimization with p-ECR. International Journal of Computational Intelligence Research(Special issue on Particle swarm optimization), 2008, 4(2): 187-195
  3. Research on machine learning model and algorithm based on human cognition. In Proceedings of 2008 International Conference on Advanced Intelligence (ICAI2008), Beijing, China, Oct,2008: 59-64
  4. TagSNPs selection using maximum density subgraph. In the 4 th International Conference on Natural Computation (ICNC’08, Oct.18-20, 2008), Jinan, China, v5: 128-132(EI,ISTP)
  5. Participatory learning based semi-supervised classification. In the 4 th International Conference on Natural Computation (ICNC’08, Oct.18-20, 2008), Jinan, China, v4: 207-216(EI,ISTP)
  6. An improved diverse density algorithm for multiple overlapped instances. In the 4 th International Conference on Natural Computation (ICNC’08, Oct.18-20, 2008), Jinan, China, v3: 88-91(EI,ISTP)
  7. Prediction of protein-protein interactions from secondary structures on binding motifs using the statistic method. In the 4 th International Conference on Natural Computation (ICNC’08, Oct.18-20, 2008), Jinan, China, v5: 100-103(EI,ISTP)
  8. A novel comparative sequence analysis method for ncRNA secondary structure prediction without multiple sequence alignment. In the 4 th International Conference on Natural Computation (ICNC’08, Oct.18-20, 2008), Jinan, China, v5: 29-33(EI,ISTP)
  9. A new method for simulating protein folding process-snake algorithm. Proceedings ICICSE 2008 – 2008 International Conference on Internet Computing in Science and Engineering, January 28-29, 2008: 39-42(EI,ISTP)
  10. The inverse protein folding process by artificial life approaches. Proceedings ICICSE 2008 – 2008 International Conference on Internet Computing in Science and Engineering, January 28-29, 2008: 35-38(EI,ISTP)
  11. Research on knowledge-based intelligent agent model. WMSCI 2008: 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Vol Vii, Proceedings, 2008: 276-281(ISTP)
  12. 基于Tri-train ing和数据剪辑的半监督聚类算法. 软件学报,2008,19(3):663-673(EI)
  13. 一种基于Quartet Puzzling 和邻接法的进化树构建算法. 计算机研究与发展,2008,45(11):1965-1973(EI)
  14. RNA二级结构预测方法综述. 电子学报,2008,36(2):331-337(EI)
  15. 基于智能Agent的农业智能决策系统研究. 高技术通讯,2008,18(4):392-399(EI)
  16. 人类免疫系统仿真与建模研究综述. 计算机仿真,2008,25(1):11-15
  17. 参数序列比对算法研究. 生物信息学2008,6(2):65-67,84

2007

  1. Evolutionary tree reconstruction using structural expectation maximization and homotopy. Genetics and Molecular Research (GMR), 2007, 6 (3): 522-533(SCI,IF=0.682)
  2. Improving the efficiency of p-ECR moves in evolutionary tree search methods based on Maximum Likelihood by neighbor joining. In The Symposium of Computations in Bioinformatics and Bioscience (SCBB’07: Aug. 13-15, 2007), Iowa, USA: 60-67(SCI,EI,ISTP)
  3. Simulations of protein folding process. In The 2007 International Conference on Bioinformatics and Computational Biology (BIOCOMP’07: June 25-28, 2007),Las Vegas, Nevada, USA:387-391
  4. Methods and simulations for the protein folding. In The 2007 International Conference on Bioinformatics and Computational Biology (BIOCOMP’07: June 25-28, 2007),Las Vegas, Nevada, USA:383-386
  5. A MAS Communication Model Based on Star-Ring Structure. Proceedings of 2007 International Conference on Machine Learning and Cybernetics, Hongkong, vol.6:3184-3188(EI,ISTP)
  6. An Extended Contract-Net Negotiation Model Based on Task Coalition and Genetic Algorithm. Proceedings of 2007 International Conference on Machine Learning and Cybernetics, Hongkong, vol.2:879-884(EI)
  7. RNA secondary structure prediction based on forest representation and Genetic Algorithm. In The 3rd International Conference on Natural Computation (ICNC’07), 2007: 370-374(EI)
  8. An improved quick algorithm for aligning DNA/RNA sequences. CIS Workshops 2007, 2007 International Conference on Computational Intelligence and Security, Dec 15-19, 2007 Harbin, China: 825-828(EI,ISTP)
  9. An edge-detection method for moving objects. Proceedings of the IEEE International Conference on Automation and Logistics (ICAL2007) August 18 – 21, 2007, Jinan, China:1157-1560(EI,ISTP)
  10. Computer Simulation for protein folding. The 2007 International Conference on Modeling, Simulation & Visualization Methods(MSV2007). 2007, USA:128-131
  11. Real-time Competition Simulation System,International Multi-Symposiums on Computer and Computational Sciences (IMSCCS|07) August,13-15,2007,Iowa, USA:318-321(EI)
  12. 基于自适应数据剪辑策略的Tri-training算法. 计算机学报,2007,30(8):1213-1226(EI)
  13. 转录因子结合位点识别算法的研究. 电子学报,2007,35(12A):83-89(EI)
  14. 蛋白质相互作用及其网络预测方法研究进展. 电子学报,2007,35(12A):1-7(EI)
  15. 基于支持向量机和竞争学习的图像配准方法. 哈尔滨工业大学学报2007,39(7):1114-1116(EI)
  16. 基于改进CS模型的免疫系统应答仿真. 计算机工程与应用,2007,43(7):23-27

2006

  1. Research of immune system response simulation based on cell automata. Chinese Journal of Electronics, 2006, 15(4A): 785-788 (SCI,EI)
  2. Tri-training and data editing based semi-supervised clustering algorithm. In 5th Mexican InternationalConferenceon Artificial Intelligence (MICAI 2006), Lecture Notes in Artificial Intelligence, 2006, Volume 4293: 641-651(EI,ISTP)
  3. A permutation-based genetic algorithm for predicting RNA secondary structure-a practicable approach,” The 2nd International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Lecture Notes in Artificial Intelligence (LNAI) 3614. 2006, 861-864(SCI,EI,ISTP)
  4. An ontology-based method for similarity calculation of concepts in the semantic web. 5th International Conference on Machine Learning and Cybernetics, AUG 13-16, 2006 .Proceedings of 2006 International Conference on Machine Learning and Cybernetics, Vols 1-7 : 1538-1542, 2006(EI,ISTP)
  5. 系统发生树构建技术综述. 电子学报,2006,34(11):2047-2052(EI)
  6. 基于熟人联盟及扩充合同网协议的多智能体协商模型. 计算机研究与发展,2006,43(7):1155-1160(EI)
  7. 基于雁群启示的粒子群优化算法. 计算机科学,2006,33(11):166-169
  8. Rough集中基于数据库操作的属性约简算法. 计算机科学,2006,33(S10):145-147

2005

  1. Improving retrieval performance with the combination of thesauri. and automatic relevance feedback. Advances in Machine Learning and Cybernetics, Lecture Notes in Computer Science, 2005, Volume 3930: 322-328(SCI,EI,ISTP)
  2. Simulating the mutation of antibody of human immune system. In Proceeding of 2005 International Conference on Neural Networks and Brain (ICNN&B 2005), Beijing, P. R. China, 2005: 240-244(EI,ISTP)
  3. A new approach to query expansion. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC2005), Guangzhou, 18-21 August 2005. page:2302-2306(EI,ISTP)
  4. Evaluation criteria on down-compatibility degree of fuzzy inference mechanism. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC2005), Guangzhou, 18-21 August 2005. page:2418-2423(EI,ISTP)
  5. The research and application of the self-learning expert system based on BP network. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC2005), Guangzhou, 18-21 August 2005. page:4153-4157(EI,ISTP)
  6. Middleware-based expert system platform for agriculture production decisions. In Proceeding of the Third International Symposium on Intelligent Information Technology in Agriculture (ISIITA2005), Beijing, P. R. China, 2005
  7. 基于progressive多序列比对方法求解多序列比对得启发式算法. 生物信息学,2005,3(4):171-174

2004

  1. A new Q-learning algorithm based on the metropolis criterion. IEEE Transactions On Systems, Man, And Cybernetics—Part B: Cybernetics, 2004, 34 (5): 2140- 2143 (SCI,IF=2.36;EI)
  2. Q_learning based on active backup and memory mechanism. In Proceeding of the Third International Conference on Machine Learning and Cybernetics (ICMLC 2004), Shanghai, P. R. China, 2004: 271-275(EI,ISTP)
  3. 基于规则和模糊线性规划表示的专家系统研究. 高技术通讯,2004,14(7):1- 4(EI)
  4. 一种快速的间接关联挖掘算法. 高技术通讯,2004,14(7):49- 52(EI)
  5. 一种新的面向属性归纳中概念层次技术研究. 管理科学学报,2004,7(1):65-72

2003

  1. Research on knowledge representation and inference based on extended weighted fuzzy logic. In Proceeding of the Second International Symposium on Intelligent Information Technology in Agriculture (ISIITA), Beijing, P. R. China, 2003: 95-98
  2. 一种基于产生式规则的不确定推理模板模型的研究. 计算机工程与应用,2003,39(30):57-61
  3. 题库系统试卷自动生成算法研究. 哈尔滨工业大学学报,2003,35(3):342-346
  4. 我国商业银行市场营销问题及对策研究. 合肥工业大学学报,2003,17(2):24-26

2001

  1. Application of nonlinear color matching model to four-color ink-jet printing. Journal of Harbin Institute of Technology (New Series). 2002, 9(3): 270-275
  2. 专家系统中知识库组织与维护技术的研究. 高技术通讯,2002,12(2):1- 4,9(EI)
  3. Research of dithering pattern based on evolutionary algorithm and space_filling curve. In Proceedings of 2001 International Conference on Management Science & Engineering, Harbin, P. R. China, 2001: 590-594(ISTP)
  4. 基于划分策略和填充曲线的抖动模式研究. 计算机辅助设计与图形学学报,2001,13(4):319-323(EI)
  5. 基于BACON系统实现彩色图像黑白打印方法的自动化. 计算机辅助设计与图形学学报,2001,13(8):747-751(EI)
  6. 基于样本空间学习算法的彩色匹配方法研究. 自动化学报,2001,27(2):186-193(EI)
  7. 基于偏最小二乘回归分析的混色数据学习算法研究. 电子学报,2001,29(3):429-431(EI)
  8. 一种新的基于属性-值对的决策树归纳算法. 小型微型计算机系统,2001,22(4):459-461
  9. 加强学习主要算法的比较研究. 计算机工程与应用,2001, 37(21):47-55
  10. 基于IBL算法的CBR系统中索引与检索机制研究. 计算机工程与应用,2001, 37(5):67-69,95
  11. 一种基于XML的企业知识管理框架. 计算机工程与应用,2001, 37(19): 35-37, 103
  12. 机器学习中若干问题研究分析. 计算机科学,2001,28(5):169-171,16

2000

  1. 基于BP网络的色彩匹配方法研究. 计算机学报,2000,23(8):819-823(EI)
  2. 模拟退火算法中冷却调度选取方法的研究. 计算机工程,2000,26(9):63-66
  3. 一个新的基于扩张矩阵的规则抽取覆盖算法. 哈尔滨工业大学学报,2000,32(4):123-126
  4. 连续属性空间的规则学习算法. 哈尔滨工业大学学报,2000,32(3):42-47

1999

  1. 一种基于信息增益与费用评价函数的特征选择准则. 计算机研究与发展,1999,36(7):788-793(EI)

1998

  1. 评价函数驱动的抖动模式的研究. 软件学报,1998,9(5):383-389 (EI)
  2. 加强学习中决策准则的选择. 清华大学学报(自然科学版),1998,38(S2):165-168
  3. 加强学习. 计算机科学,1998,25(3):13-15
  4. 示例学习的扩张图方法. 哈尔滨工业大学学报,1998,30(1):65-67
  5. 基于机器学习的手写汉字特征选择. 哈尔滨工业大学学报,1998(2),第30卷第1期:57-60

1997

  1. A simulated annealing-based algorithm for traveling salesman problem. Journal of Harbin Institute of Technology (New Series). 1997, 4(4): 35-38
  2. 基于遗传算法的示例学习系统的并行实现. 计算机工程与应用,1997,33(2):40-42
  3. 基于模拟退火算法的抖动模式的研究与实现. 哈尔滨工业大学学报,1997,29(3):65-67