学术论文

2012-05-29 11:59:29 作者:信息学院 来源:信息学院 浏览次数:0


2011年
1, 杨春花, 王海洋, 体系结构层状态型方面的建模与编织-基于LTS的方法, 计算机学报, EI, 2011.2
2, Yihui liu, Dimensionality reduction and main component extraction of mass spectrometry cancer data, Knowledge-Based Systems, 2011, in press. (SCI, IF: 1.57)
3. Yihui Liu, Wayne Aubrey, Katherine Martin, Andrew Sparkes, Chuan Lu and Ross D. King, The analysis of yeast cell morphology features in exponential and stationary phase, Journal of Biological Systems, 2011, in press. (SCI)
4.  Yang, Chun-Hua ; Wang, Hai-Yang. An approach to weaving stateful aspects using LTS.Journal of Information Science and Engineering. 2011,27(4): 1395-1411.SCI
5. Xiaoqiang Ren, Ruilian Hou. Extend UDDI Using Ontology for Automated Service Composition. The 2nd International Conference on Mechanic Automation and Control Engineering (MACE 2011),2011(EI,已录用)
6. Lei Chen, Yihui Liu. Feature selection based on CART algorithm for microarray data [A]. IEEE 2011 International Conference on Computer Control and Automation, (ICCCA 2011), in press, (EI)
7, 杨春花, 1/2, Reasoning about Semantic Aspect Weaving Impact, Proc. of ETCS2010, EI, 2011.3
8, 杨春花, 1/1, A Formal Semantics for Stateful Aspect Weaving, Proc. of ETCS2010, EI, 2011.3
9, 姜雪松, 1/4, 基于隐马尔可夫模型的物联网入侵检测系统的研究, iccsa2011论文集, ISTP, 2011.4
10, 姜雪松, 1/4, The research of ANN forecasting mode based on cloud plat-forms, WISM'11-AICI'11, EI, 2011.6(录用)
11. 姜雪松, 2/2, 基于云平台的RBF预测模型的研究, WBM2011论文集, ISTP, 2011.6(录用)
12, 侯瑞莲, 1/3, A Disgn of real-time monitoring and forecasting system of urban air quality , ICEIM2011,2011.4
13, 侯瑞莲, 1/3, A Time series analysis and forecasting model in dam safety monitoring  , ICEIM2011,2011.4
14, 孙涛, 3/4, Matching Reviews to Database Objects based on 2-layer CRF, MEC 2011, 706, 录用
15, 尉秀梅, 2/4, 基于隐马尔可夫模型的物联网入侵检测系统的研究, iccsa2011论文集, ISTP, 2011.4
16, 尉秀梅, 2/4, The research of ANN forecasting mode based on cloud plat-forms, WISM'11-AICI'11论文集, EI, 2011.6(录用)
17, 尉秀梅, 1/2, 基于云平台的RBF预测模型的研究, WBM2011论文集, ISTP, 2011.6(录用)
18, 董爱美, 1/2, The Research and Application of Object-Oriented Requirements Modeling Based on UML, 2011 IEEE机电工程与信息技术, 录用
19, 张洁, 1/1, Modeling Aspect Weaving Using Process Algebra, Proc. of ETCS2010, EI, 2011.3
20, 王新刚, 1/4, Error Analysis of the Derivative of the Rational Interpolation Based on Function values, CMSP 2011, EI, 2011.5
21, 赵晶, 1/3, 基于文化量子粒子群算法的模糊神经网络参数优化, 计算机工程与应用,  2011.4
22, 赵晶, 1/3, 改进二进制量子粒子群算法在蛋白质折叠中的应用, 计算机应用研究,  录用

2010年以前
1. Yihui Liu,Li Bai. Find significant gene information based on changing points of microarray data. IEEE Transactions on Biomedical Engineering, Vol.56(4), pp.1108-1116,2009. (SCI)
2. Yihui Liu. Wavelet feature extraction for high-dimensional microarray data. Neurocomputing , 2008.04 (SCI)
3. Yihui Liu. Feature extraction and dimensionality reduction for mass spectrometry data. Computers in Biology and Medicine,Vol.39(9),pp.818-823,2009. (SCI)
4. Yihui Liu. Detect Key Genes information in Classification of Microarray Data, EURASIP Journal on Advances in Signal Processing .2008.(SCI)
5. Yihui Liu. Prominent feature selection of microarray data. Progress in nature science, Vol.19(10),pp.1365-1371,2009. (SCI)
6. Jinyong Cheng, Yihui Liu.  3-D Reconstruction of Medical Image Using Wavelet Transform and Snake Model, Journal of Multimedia,Vol.4(6),pp.427-434,2009.12.(EI)
7. Yang Chunhua,Wang Haiyang. Formal models for architecture aspects and their weaving. Journal of Software, v3, n9, p 52-59, 2008.(EI)
8.Lu Qin,Zhang Weishi,Zhang Xiuguo.Service computing oriented exception handling strategies.Journal of Information and Computational Science, v6, n1, p 297-304, January 2009.(EI)
9. Xiangjun Dong, Lulin Zhao, Xiqing Han. Comparisons of Several Definitions about Negative Containment. In Proc. of  ICCNT 2011, vol 3,  pp 553-556 (EI)
10. Xiangjun Dong, Liang Ma, He Jiang. Comparisons of Several Definitions about Negative Containment. In Proc. of ICICN 2011, Jan. 2011, PP 517-519 (EI)
11. Xiangjun Dong, Fengrong Sun,Xiqing Han and Ruilian Hou. Study of Positive and Negative Association Rules based on Multi-confidence and Chi-squared test,ADMA06,Springer Lecture Notes in Computer Science 4093,Springer-Verlag Berlin Heidelberg 2006 ,pp.100-109 (SCI-ISI: 000240088200010, IF=0.402)
12. Runian Geng, W. Xu, X. Dong. Efficient mining of interesting weighted patterns from directed graph traversals. Journal of Integrated Computer-Aided Engineering,2009.16(1):21-49(SCI-ISI:000262497900002)
13. Feng-rong Sun, Ze Liu, Xiang-jun Dong, Yan-ling Li, Xiao-jing Wang, Qianna Li, Gui-hua Yao and Yun Zhang, Surface reconstruction of the coronary arterial walls from intravascular ultrasound images, J. Electron. Imaging 16, 043016 (Nov 01, 2007); doi:10.1117/1.2804172 (SCI)
14. Xiangjun Dong,  Shiju Shang,  Jie Li, He Jiang. Mining global exceptional rules in multi-database. 2009 International Forum on Information Technology and Applications, IFITA 2009, v 2, pp. 680-683 (EI,Accession number: 20094512431030)
15. Xiangjun Dong, Shiju Shang, Jie Li, He Jiang. Application of negative association rules in multi-database. 2008 International Symposium on Information Science and Engineering, ISISE 2008, v 1, pp. 460-463 (EI,Accession number: 20091311977685)
16. Xiangjun Dong, Zhiyun Zheng, Zhendong Niu, Qiuting Jia. Mining Infrequent Itemsets based on Multiple Level Minimum Supports, The Second International Conference on Innovative Computing, Information and Control (ICICIC2007), September 5 - 7, 2007, Japan, pp.528-532 (EI,Accession number: 080811103124)
17. Xiangjun Dong, Zhendong Niu, Xuelin Shi, Xiaodan Zhang, Donghua Zhu. Mining both Positive and Negative Association Rules from Frequent and Infrequent Itemsets. IN proceedings of ADMA07, Harbin, China, 2007, LNAI 4632, Springer-Verlag Berlin Heidelberg 2007, pp.122-133 (EI,Accession number: 080311023324)
18. Xiangjun Dong, Gang Li, Hongguo Wang, Yuebin Guo, and Yueyue Yang. Mining Infrequent Itemsets based on Extended MMS Model. Third International Conference on Intelligent Computing, ICIC07, CCIS 2, 2007. Springer-Verlag Berlin Heidelberg 2007, pp. 190–198 (ISTP) .
19. Xiangjun Dong, Zhendong Niu, Donghua Zhu, Zhiyun Zheng, and Qiuting Jia. Mining Interesting Infrequent and frequent Itemsets based on MLMS Model. The Fourth International Conference on Advanced Data Mining And Applications, Chengdu, China, 8-10 October, 2008 (ADMA2008), LNAI 5139, Springer-Verlag Berlin Heidelberg, pp. 444-451 (EI)
20. Yang Bin, Xiangjun Dong, Fufu Shi. Research of WEB usage mining based on negative association rules. IFCSTA 2009 Proceedings - 2009 International Forum on Computer Science-Technology and Applications, v1, p196-199, 2009 (EI Accession number: 20101312804863)
21. Shiju Shang, Xiangjun Dong and Jie Li. Mining Positive and Negative Association Rules in Multi-database Based on Minimum Interestingness. International Conference on Intelligent Computation Technology and Automation (ICICTA2008), pp.791-794. (EI, Accession number:090111827836,通讯作者) .
22. Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao. Mining Negative Association Rules in Multi-database. Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD2008), Jinan, China,Oct.2008,pp.596-599 (EI, Accession number: 090211845665, 通讯作者)
23. Long Zhao, Xiangjun Dong, Shiju Shang. The present situation and development tendency of Classification Based on negative association rules. In: W. Xu, D. Liu, eds. Proc. of the 7th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES’08). Beijing: Publishing House of Electronics Industry,2008.(ISTP, 通讯作者)
24. Runian Geng, X. Dong, J. Zhao, et al. WHFPMiner: efficient mining of weighted highly-correlated frequent patterns based on weighted FP-tree approach. LNCS,Vol.5264: 730-739 (EI,Access Number:20090611891651)
25. Runian Geng, X. Dong, H. Jiang, et al. WTSPMiner: efficiently mining weighted sequential patterns from directed graph traversals.LNCS,Vol.5226: 372-379 (EI,Access Number: 20084811748250)
26. 耿汝年,董祥军,须文波.基于全局图遍历的加权频繁模式挖掘算法.计算机集成制造系统,2008,14(6):1220-1229,1235(EI,Access Number:20083011401792、INSPEC-10591770)
27. 耿汝年,董祥军,须文波.一种有效的基于图遍历的加权序列模式挖掘算法.控制与决策,2009,24(5):669-673(EI,Access Number: 20092412122878)
28. Runian Geng, X. Dong, G. Liu, et al. Efficiently mining maximal frequent patterns from traversals on weighted directed graph using statistical theory. In: Proc. of FSKD'08: 586-590 (EI,Access Number: 20090211845663)
29. Runian Geng, X. Dong, et al. WTMaxMiner: Efficient Mining of Maximal Frequent Patterns Based on Weighted Directed Graph Traversals. In: Proc. of IEEE Conf. on CIS'08: 1081-1086(EI, Access Number:20085211810189)
30. Runian Geng, X. Dong, J. Zhao, et al. SWFTPMiner: mining weighted frequent patterns from graph traversals with noisy information. In: Proc. of IEEE Conf. on Wicom'08(EI, Access Number:20090111834196)
31. Runian Geng, X. Dong, X. Zhang, et al. Efficiently mining closed frequent patterns with weight constraint from directed graph traversals using weighted FP-tree approach. In: Proc. of CCCM'08:404-407(EI, Access Number:20084611692518)
32. Runian Geng, W. Xu and X. Dong. SWSPMiner: efficient mining of weighted sequential patterns from traversals on weighted directed graph using statistical theory. In: Proc. of DCABES'08: 486-491(ISTP-ISI:000259913500088)
33. Runian Geng, X. Dong, W. X, et al. WTPMiner: Efficient mining of weighted frequent patterns based on graph traversals. LNAI, Vol. 4798: 512-524 (EI,Access Number: 20080411048660)
34. He Jiang, Yuanyuan Zhao, Xiangjun Dong. Mining Positive and Negative Weighted Association Rules from Frequent Itemsets Based on Interest[C]. In Proc. of the 2008 International Symposium on Computational Intelligence and Design(ISCID’08).Wuhan: IEEE Computer Society, Oct. 2008,pp.242-245(EI ,Accession number:000263408100056)
35. Ruilian Hou, Xiaoqiang Ren.Qiuting Jia,Xiangjun Dong. Design and Development of Automated Monitoring System for Reservoir Dam,ICCASM 2010 Volume14,2010,v14-240-v14-243 (EI) 
36. Yihui Liu, Katherine Martin, Andrew Sparkes, Ross D. King, The Analysis of Yeast Cell Morphology Using a Robot Scientist, cis, pp.10-14, International Conference on Computational Intelligence and Security, 2010(EI)
37. Jinyong Cheng,Yihui Liu,Jun Sang,Qiang Liu,Shaoqing Wang.Diagnosis of Liver Diseases from P31 MRS Data Based on Feature Selection Using Genetic Algorithm, LNCS,Volume 6330/2010,pp.122-130 (EI)
38. Yihui Liu. Feature extraction and dimensionality reduction for mass spectrometry data.Computers in Biology and Medicine,Vol.39(9),pp.818-823,2009. doi:10.1016/j.compbiomed.2009.06.012(SCI)
39. Yihui Liu,Li Bai.Find significant gene information based on changing points of microarray data.IEEE Transactions on Biomedical Engineering,Vol.56(4), pp.1108-1116,2009.doi: 10.1109/TBME.2008.2009543 (SCI)
40. Yihui Liu. Prominent feature selection of microarray data. Progress in nature science, Vol.19(10),pp.1365-1371,2009. doi:10.1016/j.pnsc.2009.01.014 (SCI)
41. Jinyong Cheng, Yihui Liu.3-D Reconstruction of Medical Image Using Wavelet Transform and Snake Model,Journal of Multimedia,Vol.4(6),pp.427-434,2009.12.(EI)
42. Lijuan WANG,Yihui LIU,Jinyong CHENG,Qiang LIU,Baopeng LI.31Phosphorus Magnetic Resonance Spectroscopy Data Analysis of the Hepatocellular Carcinoma Using Artificial Neural Networks, IITA 2009.
43. Jun SANG, Yihui LIU, Qiang LIU, Baopeng LI, Jinyong CHENG. Classification of 31P MRS for Liver Cancer in vivo. bic-ta 2009 . 2009.10
44. FUTing-ting, LIUYi-hui,LIUQiang,LIBao-peng,CHENGJin-yong. 31P MRS Data diagnosis of hepatocellular carcinoma Based on Support Vector Machine. BMEI 2009,17-19 October 2009, Tianjin,China, Volume 3:1541-1544.
45. 王韶卿,刘毅慧,王丽娟, 刘强,成金勇,李保朋. 基于反向传输神经网络的肝脏31P磁共振波谱分析.中国医学影像技术,2009,25(10):208-211
46. 王韶卿,刘毅慧,付婷婷.31P磁共振波谱数据的分类.山东大学学报(医学版).2009. 47(6):42-46.
47. 刘强,刘毅慧,王丽娟, 成金勇,王韶卿. 基于自组织特征映射神经网络的肝脏31P磁共振波谱分析. 医学影像学杂志,2009,19(7):860-863
48. 王丽娟,刘毅慧,刘强,李保朋,成金勇.利用神经网络提高肝细胞癌磁共振波谱诊断正确率.生物信息学,2010年第2期
49. 桑君, 刘毅慧,刘强,成金勇. 基于遗传算法特征选择的数据分类. 生物信息学. 2009.
50. 付婷婷,刘毅慧,刘强,李保朋,成金勇.基于支持向量机的31P磁共振波谱肝细胞癌诊断.生物信息学.
51. "Yihui Liu. Wavelet feature extraction for high-dimensional microarray data. Neurocomputing , doi:10.1016/j.neucom.2008.04.010. (SCI) "
52. "Yihui Liu. Detect Key Genes information in Classification of Microarray Data, EURASIP Journal on Advances in Signal Processing . 2008 doi:10.1155/2008/612397.(SCI) "
53. "Yihui Liu and Li Bai. Find key m/z values in predication of mass spectrometry Cancer Data. Lecture Notes in Computer Science, vol. 5526, pp.196-203, ICIC 2008, Shanghai.(EI) "
54. Yihui Liu and Li Bai. Extracting Salient information of mass spectra of prostate cancer dataset. IEEE Grc 2008, Hangzhou, 2008.(EI)
55. Jinyong Cheng, Ruojuan Xue, Yihui Liu, Wenpeng Lu. Segmentation of Mechanical Images Using Improved Active Contour Model. IEEE ICIT 2008, Chengdu,April,2008 (EI)
56. Jinyong Cheng, Yihui Liu, Li Bai.3-D Reconstruction from Medical Images with Improved GVF Snake Model, CIS 2008, Suzhou, DEC., 2008. (EI)
57. Jinyong Cheng, Ruojuan Xue, Wenpeng Lu, Ruixiang Jia. Segmentation of Medical Images with Canny Operator and GVF Snake Model.WCICA 2008.(EI)
58. Yifeng Li, Yihui Liu. A Wrapper Feature Selection Method Based on Simulated Annealing Algorithm for Prostate Protein Mass Spectrometry Data,IEEE CIBCB 2008, Sun Valley,2008, pp.195-200.(EI)
59. Yifeng Li, Yihui Liu, Li Bai, Genetic Algorithm Based Feature Selection for Mass Spectrometry Data, IEEE BIBE 2008, Athens, 2008.(EI)
60. Zhaoxin Wang, Yihui Liu, Li Bai. Ovarian Cancer Mass Spectrometry Data Analysis Based on ICA Algorithm. BIC-TA 2008, Adelaide ,Australia (EI)
61. 李义峰,刘毅慧. 基于模拟退火算法的高分辨率蛋白质质谱数据特征选择. 生物信息学.2009,7(2).
62. 李义峰,刘毅慧.基于遗传算法的蛋白质质谱数据特征选择.计算机工程.2009,19
63. 王昭鑫,刘毅慧.基于监督式ICA的卵巢癌蛋白质谱数据分析.计算机工程.2009,8
64. 王昭鑫,刘毅慧.主元余像集主成分分析在蛋白质质谱数据中的应用.生物信息学09.7(3)
65.  Yihui Liu. Feature extraction for mass spectrometry data. Lecture Notes in Bioinformatics, vol.4689, pp. 188–196, Springer-Verlag Berlin Heidelberg 2007.(EI)
66.  Yihui Liu. Wavelet Feature Selection for Microarray Data. IEEE/NIH BISTI 2007 LIfe Science Systems and Applications Workshop. pp. 205-208, 2007 (EI)
67.  Yihui Liu. Dimensionality Reduction for Mass Spectrometry Data. Lecture Notes in Artifical Intelligence, vol. 4632, pp. 203–213, Springer-Verlag Berlin Heidelberg, 2007.(EI)
68.  Yihui Liu, Jinwen Shen, Jinyong Cheng. Cancer Classification Based on the “Fingerprint” of Microarray Data. Proceddings of the 1st IEEE International Conference on Bioinformatics and Biomedical Engineering, pp. 180-183, 2007(EI)
69.  Yihui Liu. Feature extraction for DNA microarray data. 20th IEEE International Symposium on COMPUTER-BASED MEDICAL SYSTEMS. pp. 371-376, June, 2007. (EI)
70.  Yihui Liu. Cancer Classification Based on Mass Spectrometry. Lecture Notes in Artifical Intelligence, vol. 4578, pp. 596 – 603, Springer-Verlag Berlin Heidelberg ,2007.(EI)
71. Yihui Liu, Qiang Liu, Jinyong Cheng, Lebing Wu, Wei Xin. Classification of 31P MRS Data for Liver Cancer. Lecture notes in engineering and computer science,Vol 1,pp.828-832.2007. (ISTP)
72.  Yihui Liu: Cancer Identification Based on DNA Microarray Data. Lecture Notes in Artifical Intelligence, vol. 4819, pp. 153-161, 2007. (EI)
73.  Yihui Liu, Yuejie Ma, Yu Liu, Dave Elliman. Wavelets for FTIR Cancer Data. Lecture notes in engineering and computer science, Vol. 1, pp. 301-305. 2007. (ISTP)
74.  Zhuge, H., Guo, W.,2007. Virtual Knowledge Service Market-For Effective Knowledge Flow within Knowledge Grid , The Journal of Systems & Software, doi:10.1016/j.jss.2007.02.028
75.  Jinyong Cheng, Yihui liu. Wavelet Vector Flow:A New External Force of Snakes for Medical Image Analysis, IAENG International Journal of Applied Mathematics, vol.36(2), pp. 33-37, 2007.
76.  Jinyong Cheng,Yihui liu. Wavelet Vector Flow:A New External Force of Snakes for Medical Image Analysis.IMECS 2007,. Vol. 2, pp. 1913-1917.21-23.(ISTP)
77.  Jinyong Cheng, Yihui Liu.Human body image segmentation based on wavelet analysis and active contour models.ICWAPR 2007.Beijing. (EI)
78.  Jinyong Cheng, Yihui Liu, Ruixiang Jia, Weiyu Guo. Active Contour Model Based on Force Field tracking. ICCIT 2007.November.korea.(EI)
79. 孟范静,刘毅慧,王洪国,成金勇.SVM在基因微阵列癌症数据分类中的应用.计算机工程与应用.2007 43 (34): 246-248
80. 孟范静,刘毅慧.王洪国,成金勇.遗传优化算法在基因数据分类中的应用.生物信息学.
81.  Yihui Liu, Bai L, Elliman D, Morgan P, Auerthe D. Automatic segmentation of Putamen from brain MRI. Lecture Notes In Computer Science, vol. 3973, pp. 606-613, 2006 . (SCI EI)
82.  Zhuge, H., Guo, W., Li, X., 2006. The potential energy of knowledge flow. 724 Concurrency and Computation: Practice and Experience, doi: 10.1002/ 725 cpe.1143. (SCI EI)
83.  Hai Zhuge,Weiyu Guo, et al, Knowledge Energy in Knowledge Flow Networks, 1st International Conference on Semantics, Knowledge and Grid(SKG2005), Beijing, Nov.27-29, 2005, pp.4-17. (EI)
84.  Bai L, Liu Y. Classification of FTIR cancer data using wavelets and fuzzy C-means clustering. Two- and Three-Dimensional Methods for Inspection and Metrology III. vol. 6001, pp. 83-91, 2005.(EI)
85.  Weiyu Guo, et al, Trust in Knowledge Flow Network, 1st International Conference on Semantics, Knowledge and Grid (SKG2005), Beijing, China, Nov.27-29, 2005, pp.405-412.(EI)
86.  Hai Zhuge, Yunchuan Sun, Ruixiang Jia and JieLiu, Algebra model and experiment for semantic link network, High Performance Computing and Networking, 3(4)(2005) 227-237 (SCI EI)
87.  Hai Zhuge, Ruixiang Jia, Jie Liu: Semantic Link Network Builder and Intelligent Semantic Browser. Concurrency - Practice and Experience 16(14): 1453-1476 (2004) (SCI EI)
88.  Bai L, Liu Y. When eigenfaces are combined with wavelets. International Journal of Knowledge-Based Systems,2002,15(5-6),343-347





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