王淑栋
作者:
陈继东    
发布时间:
2017-03-13    
点击次数:
14341    

姓名:王淑栋
性别:
民族:
办公电话:13806445278
职务:
职称:教授,博士生导师
电子邮箱:shudongwang2013@SOHU.COM

个人简介:王淑栋,教授,博士生导师,中国电子学会图论与系统优化专业委员会委员、国家自然科学基金评审专家、山东省自然科学基金结题评审专家。2004年毕业于华中科技大学控制科学与工程系,获工学博士学位;2008年6月北京大学计算机科学与技术流动站出站博士后;2010年在美国Southern Illinois University进行短期学术访问;2011年7月至2014年1月在美国Virginia Commonwealth University生物统计系从事博士后研究工作。目前主要从事生物统计、系统生物学、DNA计算模型的理论和应用等方面的研究。

通讯地址:山东省青岛市西海岸新区长江西路66号工科E座室。

研究领域

生物统计、系统生物学、DNA计算模型的理论和应用

主讲课程

计算方法、程序设计(C++)、人工智能、人工智能概论、科研实践、程序设计实习、复杂网络及其应用

教学、科研项目

1.        国家重点研发计划(子课题):鲁棒元学习算法设计(2021YFA10000102-3),2021.12-2026.11, 80万,负责人

2.        国家自然科学基金项目:大规模图数据的拓扑表达性和超低复杂度可计算性研究(61873281),2019.1-2022.1265万,主持人

3.        山东省自然科学基金项目:自组织脉冲神经膜系统的计算性能及其在智慧海洋环境预报中的应用研究(10508299),2019.5-2022.6 20万,第三位

4.        国家自然科学基金项目:基于大家族生物序列数据的多位点连锁IBD计算和性状位点定位方法研究(61572522),2016.1-2019.1280.4万,主持人

5.        中国石油大学引进人才科研基金项目:复杂逻辑网络理论及其在人类遗传疾病研究中的应用,2014.3-2019.2175万,主持人

6.        国家自然科学基金项目:基于尺度选择性收获的渔业资源的结构进化及动力学研究(11371230),2014.01-2017.1265万,第二位

7.        山东省青岛市黄岛区科技项目:复杂逻辑网络分析方法在全基因组关联研究中的应用(2014-1-43),2014.06-2016.0610万,主持人

8.        国家自然科学基金项目:复杂基因网络若干理论和应用研究(61170183),2012.1-2015.1259万,主持人

9.        山东省优秀中青年科学家科研奖励基金:复杂网络方法在基因逻辑网络中的应用研究(BS2011SW025),2012.1-2014.126万,主持人

10.    校杰出青年奖励基金:复杂基因逻辑网络中的若干理论和应用研究(2010KYJQ104),2010.1-2012.1215万,主持人

11.    国家自然科学基金项目:基于网络核与核度理论的基因网络研究(60874036),2009.1-2011.1237万,主持人

12.    博士点基金NP-完全问题DNA计算机模型研究(20070001020)2008.1-2010.126万,(2/9

13.    国家自然科学基金项目DNA计算中的核酸序列设计研究(30670540),2007.01-2009.1227万,主要成员

14.    国家863项目NP完全问题的DNA计算机研制(2006AA01Z1046/12),2006.12-2008.12100万,主要成员

15.    国家自然科学基金重点项目:图信息处理DNA计算机模型研究(60533010),2006.1-2009.12200万,(6/13

16.    国家自然科学基金项目DNA计算模型的理论研究及应用(60503002),2006.1-2008.1226,主持人

17.    中国国家博士后基金项目:通用WatsonCrick图灵机模型的理论研究与应用(20060400344),2006.6-2008.63,主持人

18.    国家自然科学基金项目DNA 计算在图论与组合优化中的应用(60103021),2002.01-2004.123万,主要成员

19.    国家自然科学基金项目:基于DNA 计算的系统优化方法探索(60174047),2002.01-2004.1220万,主要成员

论文论著 

1. Shudong Wang, Yuanyuan Zhang, Hongting Mu, Shanchen Pang, Identification of Cancer Trait Genes and Association Analysis under Pan-cancer. Current Bioinformatics, doi: 10.2174/1574893616666210601151306.(SCI)

2. Shudong Wang, Zhenzhen Du, Mao Ding, Alfonso Rodriguez-Paton, Tao Song. KG-DTI: a knowledge graph based deep learning method for drug-target interaction predictions and Alzheimer's disease drug repositions[J]. Applied Intelligence, 2021(4). (SCI)

3. Shudong Wang, Dayan Liu, Mao Ding, Zhenzhen Du, Yue Zhong, et al. SE-OnionNet: A Convolution Neural Network for Protein–Ligand Binding Affinity Prediction[J]. Frontiers in Genetics, 2021, 11:607824.(SCI)

4. Shudong Wang, Gaowei Liu, Xinzeng Wang, Yuanyuan Zhang, Sicheng Zhang, Yulin Zhang. TagSNP-set selection for genotyping using integrated data. Future Generation Computer Systems-the International Journal Of Escience, 2021, 115: 327-334. (SCI)

5. 王淑栋, 尹文静, 董玉坤, 张莉, 刘浩.面向顺序存储结构的数据流分析. 软件学报, 2020, 31(5): 1276-1293. (EI)

6. Shudong Wang, Jixiao Wang, Xinzeng Wang, Yuanyuan Zhang, Tao Yi*. Identification of critical core genes of sarcoma based on centrality analysis of networks nodes. Journal of Medical Imaging and Health Informatics, 2020.(SCI)

7. Wang Shudong, Dong Liyuan, Wang Xun, Wang Xingguang. Classification of Pathological Types of Lung Cancer from CT   Images by Deep Residual Neural Networks with Transfer Learning Strategy. Open Medicine, 2020, 15(1): 190-197.(SCI)

8. Shanchen Pang, Kexiang Xu,  Shudong Wang(通信作者), Min Wang, Shuyu Wang, Energy-saving Virtual Machine Placement Method for User Experience in Cloud Environment, Mathematical Problems in Engineering, 2020.(EI)

9. Yulin Zhang, Tong Feng, Shudong Wang(通信作者), Ruyi Dong, Jialiang Yang, Jionglong Su, et al. A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations[J]. Frontiers in Genetics, 2020, 11.(SCI)

10. Leiyu Tang, Chenxi Wang, Shudong Wang, Guoliang Dong, Jiancong Fan. A novel fuzzy clustering algorithm based on rough set and inhibitive factor[J]. Concurrency and Computation: Practice and Experience. 2020, 33(6). (EI)

11. Shanchen Pang, Lihua Wang, Shudong Wang, Yuanyuan Zhang, Xinzeng Wang. PESM: A novel approach of tumor purity estimation based on sample specific methylation sites[J]. Journal of Bioinformatics and Computational Biology, 2020, 18(5). (SCI)

12. Shudong Wang, Tianyu Zhao, Shanchen Pang. Task scheduling algorithm based on improved firework algorithm in fog computing[J]. IEEE Access, 2020, PP(99):1-1. (SCI)

13. Shaoqiang Wang, Shudong Wang, Song Zhang, Fangfang Fan, Gewen He. Research on Recognition of Medical Image Detection Based on Neural Network[J]. IEEE Access, 2020, PP(99):1-1.(SCI)

14. Shudong Wang, Yanqing LiShanchen PangQinghua LuShuyu WangJianli Zhao. A Task Scheduling Strategy in Edge-Cloud Collaborative Scenario Based on Deadline. Scientific Programming 2020: 3967847:1-3967847:9.(SCI)

15. Tongmao MaShaohua HaoXun WangAlfonso Rodríguez-Patón, Shudong Wang(通信作者), Tao Song. Double Layers Self-Organized Spiking Neural P Systems With Anti-Spikes for Fingerprint Recognition. IEEE Access 2019, 7: 177562-177570. (SCI)

16. Yukun DongWenjing Yin, Shudong Wang(通信作者), Li ZhangLin Sun. Memory Leak Detection in IoT Program Based on an Abstract Memory Model SeqMM. IEEE Access 7: 158904-158916. (SCI)

17. Shudong Wang, Lihua WangYuanyuan ZhangShanchen PangXinzeng Wang. PEIS: a novel approach of tumor purity estimation by identifying information sites through integrating signal based on DNA methylation data. BMC Bioinform, 2019, 20(22): 714.(EI)

18. Shanchen Pang, Shudong Wang, Tao Song, Xun Wang, Pan Zheng. Special Issue on Service-Oriented Computing[J]. Journal of Organizational & End User Computing, 2019, 31(3):ⅴ-ⅵ.(SCI)

19. Yuanyuan Zhang, Chuanhua Kou, Shudong Wang, Yulin Zhang. Genome-wide differential-based analysis of the relationship between DNA methylation and gene expression[J]. Current Bioinformatics, 2019, 14(8):783-792.(SCI)

20. Xun Wang, Shudong Wang, Tao Song. A Spectral Rotation Method with Triplet Periodicity Property for Planted Motif Finding Problems.[J]. Combinatorial chemistry & high throughput screening, 2019, 22(10):683-693.(SCI)

21. Yuanyuan Zhang, Shudong Wang, Xinzeng Wang. Data-driven-based Approach to Identifying Differentially Methylated Regions Using Modified 1D Ising Model. Biomed Research International. 2018, 1070645. (SCI)

22. Shudong Wang, Xinzeng Wang, Qifang Song, Yuanyuan Zhang. High- Order Degree and Combined Degree in Complex Networks. Mathematical Problems in Engineering, 2018, 2018:1-12. (SCI)

23. Xinzeng Wang, Shudong Wang, Xinzhu Meng. A Novel SNP-set Analysitic Method without Distinguishing Common or Rare Variants in Genome-wide Association Study. International Journal of Biomathematics, 2018, 11(7):1850094. (SCI)

24. Shudong Wang, He Sicheng, Yuan Fayou, Zhu Xinjie. Tagging SNP-set Selection with Maximum Information based on Linkage Disequilibrium Structure in Genome-wide Association Studies. Bioinformatics, 2017, 33(14): 2078-2081. (SCI)

25. Wang Shudong, Zhang Shanqiang, Li Shanshan. Analysis of SNP Network Structure Based on Mutual Information of Breast Cancer Susceptibility Genes. Communications in Computer and Information Science. 2016, 682: 420-430. (EI)

26. Shudong Wang, Xinzeng Wang, Yulin Zhang, Wei Liu. Structural Analysis of Leukemia Related Gene Network. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1445-145.(EI)

27. Bin Yan, Shudong Wang, Huaqian Jia, Xing Liu, Xinzeng Wang. An Efficient Weighted Tag SNP-set Analytical Method in Genome-wide Association Studies. BMC Genetics, 2015, 16(25):1-8.(SCI)

28. Shudong Wang, Ting Liu. Analysis and Study of Cascading Failures in Gene Network. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1452-1456.(EI)

29. Yulin Zhang, Shudong Wang, Dazhi Meng. Modeling and Structural Characteristics Analysis of Gene Networks for Prostate Cancer. International Journal of Data Mining and Bioinformatics, 2015, 12(1):14-23.(SCI)

30. Yulin Zhang, Shudong Wang, Hongyue Wu, Yan Yi. Petri Net Modeling and Analysis Based on Gene Logic Network. Advances in Intelligent Systems and Computing, 2013, 212: 377-384.(EI)

31. Yansen Su, Shudong Wang, Eryan Li, Tao Song, Hui Yu, Dazhi Meng.  Analysis of Gene Logic Networks for Arabidopsis. Current Bioinformatics, 2013, 8.

32. Shudong Wang,Wenan Chen,Guimin Gao. Meta-analysis of Genome-wide Association Studies (GWAS) has Become a Useful Tool to Identify Genetic Variants that are Associated with Complex Human Diseases. Genetic Epidemiology, 2012, 36(7):776-776. (SCI)

33. Yu-Lin Zhang, Shu-Dong Wang, Long-Xiao Sun, Yuan-Yuan Zhang, Da-Zhi Meng. Analysis for Cascading Failures with DNA Repair Function of Gene Network and its Application. Biomedical Engineering: Applications, Basis and Communications, 2012, 24(3): 237-244.(SCI)

34. Shu-Dong Wang, Dong-Ling Chen, Shan-Chen Pang. The Incidence Coloring Number of Halin Graphs and Outerplanar Graphs. Discrete Mathematics, 2002, 256: 397-405. (SCI)

35. Shudong Wang, Yuanyuan Zhang, Kaikai Li, Dazhi Meng. A Novel Analytical Method for Structural Characteristics of Gene Networks and its Application. Computational Molecular Bioscience, 2012, 2(3):92-101.

36. Shudong Wang, Wenan Chen, Xiangning Chen, Fengjiao Hu, Kellie J. Archer, Nianjun Liu, Shumei Sun, Guimin Gao. Double Genomic Control is not Effective to Correct for Population Stratification in Meta-analysis for Genome-wide Association Studies. Frontiers in Applied Genetic Epidemiology, 2012, 12:1-12.

37. Su Yansen, Meng Dazhi, Li Eryan, Wang Shudong. Analysis of Gene Networks for Arabidopsis Flowering. TsingHua Science and Technology, 2012, 17(6):682-690.

38. Eryan Li, Shudong Wang, Yansen Su, Dashun Xu, Dazhi Meng. Construction and Analysis of Gene Networks for Arabidopsis. 2011 IEEE International Conference on Signal Processing, Communications and Computing, 1190-1195. (EI)

39. Jin Xu, Xiaoli Qiang, Linqiang Pan, Shudong Wang. An Unenumerative DNA Computing Model for Vertex Coloring Problem. IEEE Transactions on Nanobioscience, 2011, 10(2): 94-98. (SCI)

40. Shudong Wang, Songtao Shi, Yanru Ge, Longxiao Sun, Dashun Xu, Dazhi Meng. Analysis and Study of Cascading Failures in Gene Network. Advance in Systems Science and Applications, 2011, 11(1).

41. Wei Liu, Yuanyuan Zhang, Xiuzhu Xu, Meixi Yang, Dashun Xu, Shudong Wang. Structural Analysis of Leukemia Related Gene Network. Advance in Systems Science and Applications, 2011, 11(1).

42. Xiuzhu Xu, Shudong Wang, Kaikai Li, Dashun Xu, Dazhi Meng. Analysis for Gene Networks of Colon Cancer based on Logical Relationships. Advance in Systems Science and Applications, 2011, 11(1).

43. Yuanyuan Zhang, Shudong Wang, Meixi Yang, Dashun Xu, Dazhi Meng. A New Method of Determining Threshold of Gene Network based on Phenotypes. Journal of Biological Systems, 2011, 19(3): 1-10. (SCI, 通信作者)

44. Shudong Wang, Kaikai Li, Xiuzhu Xu, Dazhi Meng. Structural Characteristics of Gene Networks for Colon Cancer. 2011 IEEE International Conference on Signal Processing, Communications and Computing, 22-27. (EI)

45. Shudong Wang, Yan Chen, Qingyun Wang, Eryan Li, Yansen Su, Dazhi Meng. Analysis for Gene Networks Based on Logical Relationships. Journal of Systems Science and Complexity, 2010, 23(5): 999-1011. (SCI)

46. Xiangrong Liu, Shudong Wang. Development of an in Vivo computer for 3-SAT Problem. Mathematical and Computer Modelling, 2010, 52: 2043- 2047.(EI)

47. Zhang ChengYang JingXu JinWang Shudong. A “Nano-dial” Molecular Computing Model based on Circular DNA. Current Nanoscience, 2010, 6(3): 285-291.(SCI)

48. Liu XiangrongWang Shudong. Development of an in Vivo Computer for 3-SAT Problem. 2009 4th International Conference on Bio-Inspired Computing: Theories and Applications, 328-331.(EI)

49. Wang Shudong, Xu Jin, Xu Chunxiang. The Incidence Coloring of Outerplanar Graphs. Progress in Natural Science, 2008, 18(5): 575-578.(SCI)

50. Song tao, Wang Shudong, Wang xun. The Design of Reversible Gate and Reversible Sequencial Circuit based on DNA Computing. International Conference on Intelligent System and Knowledge Engineering (ISKE2008), XiaMen, 2008, 11.17-18:114-118.(EI)

51. Wenbin Liu, Shudong Wang, Lin Gao, Jin Xu. DNA Sequence Design Based on Template Strategy. J. Chem. Inf. Comput. Sci. 2003, 43: 2014-2018.(SCI)

52. Shu-Dong Wang, Jin Xu. Bidirectional Sticker Systems with Complex Structures and Generative Capacity. Chinese of Journal Electronics, 2008, 17(3): 409-413.(SCI)

53. Liu Wenbin, Zhu Xiangou, Wang Xianghong, Yin Zhixiang, Wang Shudong. Simulating the XOR Gates based on the Induced Hairpin Formation. Current Nanoscience, 2008, 4(1): 108-110.(SCI)

54. Shu-Dong Wang, Shan-Chen Pang. The Determination of the Total Chromatic Number of Series-Parallel Graphs with(G)≥4. Graphs and Combinatorics, 2005, 21(4):531-540.(SCI)

55. Wenbin Liu, Lin Gao, Xiangrong Liu, Shudong Wang, Jin Xu. Solving the 3-SAT Problem based on DNA Computing. J. Chem. Inf. Comput. Sci., 2003, 43: 1872-1875.(SCI)

56. Wang Shudong. Analysis for Graph Coloring Problem Based on Sticker and Deletion Systems. 计算机学报, 2008, 31(12): 2123-2128. (EI)

57. Li Zhen, Wang Shudong, Li Eryan. Partial Words Used for DNA Encoding. IET Seminar Digest, 2008, 3:302-306.(EI)

58. Shu-Dong Wang, Li-Jun Yan, Xiang-Rong Liu. On the Maximum Average Degree and the Incidence Chromatic Number. 北京大学学报,2008, 44(5):727-732.(EI)

59. Shudong Wang, Lijun Yan. The Relationship between Incidence Coloring and Vertex Coloring of Graphs. Dynamics of Continuous, Discrete and Impulsive Systems, 2007, 14(S3): 917-921.(ISTP)

60. Dong Yafei, Wang Shudong. Nature Algorithm for Perfect Matching Problem. Dynamics of Continuous, Discrete and Impulsive Systems, 2007, 14(S3): 939-943.(ISTP)

61. Shu-Dong Wang, Jin Xu, Shan-Chen Pang. The Incidence Strong Edge Coloring Number of SP Graphs. 数学研究与评论, 2005, 25(2):267-278.

62. Yafei DongXuedong ZhengShudong Wang. Molecule Algorithm for Perfect Matching Problem based on Sticker Models. 2004 International Conference on Intelligent Mechatronics and Automation, p 249-253. (EI)

63. 杨梅茜, 王淑栋, 张媛媛, 孟大志. 一种挖掘关键基因的新方法及其应用. 生物信息学, 2012,10(2):130-135.

64. 郗方, 王淑栋, 强小丽. 《DNA计算模型》, 译著, 清华大学出版社, 2010.01.

65. 王淑栋, 宋詜, 李二艳. DNA Golay码的设计与分析. 电子学报, 2009, 37(7): 1542-1545.(EI)

66. 张成,杨静,王淑栋.. DNA计算中荧光技术的应用及其发展. 计算机学报, 2009, 12: 2300-2311.(EI)

67. 刘向荣, 王淑栋, 郗方, 陈梅. 最小支配集问题的活体分子计算模型. 计算机学报, 2009, (12): 2325-2331.(EI)

68. 宋詜, 王淑栋, 马芳芳. 三元编码法与扩元编码法. 系统工程与电子   技术, 2009, 31(4): 960-963.(EI)

69. 闫立军,王淑栋,马芳芳. 系列平行图和Meredith’s图的关联着色. 高校应用数学学报, 2008, 23(4): 481-486.

70. 谷玉盈, 王淑栋. 幂图的邻点可区别全色数. 黑龙江大学自然科学学报, 2008, 25(2): 193-195.

71. 谷玉盈, 王淑栋. Adjacent Vertex Distinguishing Total Chromatic Number of the Mycielski Graphs of Tree. 数学季刊, 2008, 23: 621-624.

72. 王淑栋,任淑红. 低度系列平行图的邻点可区别全染色. 自然科学进展, 2007, 17(6): 779-788.

73. 王淑栋, 刘文斌, 许进. 基于剪接系统的哈密顿路问题分析. 电子学报, 2005, 33(5): 774-777.(EI)

74. 王淑栋, 刘文斌, 许进. 图着色问题的DNA粘贴算法. 系统工程与电子技术, 2005, 27(3): 568-572.(EI)

75. 王淑栋, 刘文斌, 许进. 图的最小顶点覆盖问题的质粒DNA 计算模型. 华中科技大学学报, 2004, 32(11):59-61.(EI)

76. 庞善臣, 王淑栋. 一种基于模式最长前缀正文分割的串匹配新算法. 小型微型计算机系统, 2004, 25(3): 404-406.

77. 许进, 王淑栋, 潘林强. 《DNA计算: 一种新的计算模式》, 译著, 清华大学出版社, 2004. 9.

78. 刘文斌, 王淑栋, 许进. 可满足性(SAT)问题的几种DNA计算模型. 小型微型计算机系统,2004, 25(10): 1321-1325.

79. 董亚非,王淑栋,许进. DNA计算的粘贴模型及在组合优化中的应用. 华中科技大学学报, 2003, 31(9): 59-61.

80. 王淑栋, 许进, 刘会新. 用混合遗传算法求解图的邻强边着色问题. 系统工程与电子技术, 2003, 25(5): 617-620.

81. 王淑栋, 许进, 董亚非. 图的最小覆盖问题的面上DNA解法. 小型微型计算系统, 2003, 25(2): 242-244.

82. 刘文斌, 高琳, 王淑栋, 刘向荣, 许进. 最大匹配问题的DNA表面计算模型. 电子学报, 2003, 31(10): 496-499.(EI)

殷志祥, 刘文斌, 董亚非, 王淑栋. DNA计算在组合优化中的应用及其复杂性. 系统工程与电子技术, 2003, 25(4): 427-431.(EI)

获得荣誉

1. 2005年度教育部提名国家科学技术奖自然科学一等奖:优化计算中若干理论及其应用的研究。(13人9位):许进,魏小鹏,张强,张军英,殷志祥,刘亚春,王世英,刘文斌,王淑栋,马润年,高琳,潘林强,张凤月;

2. 2005年度山东省高等学校优秀科研成果奖自然科学二等奖:图与仿生计算理论及应用的研究。(5人1位):王淑栋,刘文斌,刘西奎,陈学刚,庞善臣;

3. 2010年度山东省青岛市自然科学二等奖: 生物计算理论、模型及优化应用。(5人1位):王淑栋,潘林强,刘文斌,庞善臣,陈学刚;

4. 2007年度浙江省高等学校优秀科研成果奖自然科学二等奖:DNA计算模型及应用研究。(5人5位):刘文斌,朱翔鸥,张强,刘向荣,王淑栋;

5. 第九届山东省青年科技奖,山东省科学技术协会

6. 2017年度教育部科技进步二等奖:面向能源行业的智能服务软件关键技术及应用。(10人6位)

7. 2018年中国产学研合作促进会创新成果二等奖:知识驱动的油气开采智能生产关键技术。(10人8位)

8. 2018年中国石油和化学工业联合会科技进步三等奖:大数据环境下油气开采智能生产关键技术

9. 2019年度教育部科技进步二等奖:边云协同的油气物联网智能决策关键技术及应用(15人2位)

10. 2019年中国产学研合作促进会创新成果二等奖.边云协同的能源开采智能决策关键技术(10人3位