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    王光辉

    • 教授 博士生导师 硕士生导师
    • 性别:男
    • 毕业院校:Université Paris-Sud
    • 学历:研究生(博士)毕业
    • 学位:博士生
    • 在职信息:在职
    • 所在单位:数学学院
    • 入职时间: 2009-09-11
    • 办公地点:山东大学中心校区知新楼B835

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    论文成果

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    1. 组合数学基础理论方向


                         论文题目                            期刊
    F-factors in quasi-random hypergraphs. Journal of the London Mathematical Society
    Embedding clique-factors in graphs with low ℓ-independence number. Journal of Combinatorial Theory Series B
    Tiling multipartite hypergraphs in quasi-random hypergraphs. Journal of Combinatorial Theory Series B
    Clique immersion in graphs without a fixed bipartite graph.

    Journal of Combinatorial Theory Series B 

    Balanced subdivisions of cliques in graphs. Combinatorica

    Non-liear Hamilton cycles in quasi-random hypergraphs.

    SODA

    Integer colorings with forbidden rainbow sums. Journal of Combinatorial Theory Series A
    Crux and long cycles in graphs. SIAM Discrete Mathematics

    Decomposing edge-coloured graphs under colour degree constraints. 

    Combinatorics Probability Computing

    Integer colorings with no rainbow k-term arithmetic progression. European Journal of Combinatorics

    On splitting digraphs.

    European Journal of Combinatorics

    Rainbow matchings in properly-colored hypergraphs.

    Electronic Journal of Combinatorics

    Density of monochromatic infinite paths. Electronic Journal of Combinatorics

    Planar graphs with maximum degree 8 and without intersecting  chordal 4-cycles are 9-totally colorable.

    Science China(Mathematics)

    Antimagic orientations of even regular graphs.

    Journal of Graph Theory








    2. 数据科学应用方向


                       论文题目                       期刊

    An integrative and applicable phylogenetic footprinting framework for cis-regulatory motifs identification in prokaryotic genomes.

    BMC Genomics

    Dynamic contest model with bounded rationality.

    Applied Mathematics and Computation

    RWHMDA: Random walk on hypergraph for Microbe-Disease association prediction.

    Frontiers in Microbiology

    Integrating random walk and binary regression to identify novel MiRNA-Disease association.

    BMC Bioinformatics

    HAMDA: Hybrid approach for MiRNA-Disease association prediction.

    Journal of Biomedical Informatics

    Temporal information gathering process for node ranking in time-varying networks.

    Chaos