头像
徐泰华 副教授

计算机学院

通讯地址：

个人邮箱：xth19890410@163.com

邮政编码：

办公地点：长山校区计算机学院

传真：

  • 个人简介

  • 科研团队

  • 获奖动态

  • 教学随笔

  • 教育经历

  • 课程教学

  • 论文著作

  • 科研论文

  • 科研横向项目

  • 科研纵向项目

  • 科研专利

  • 科研动物专利

  • 徐泰华（1989-），男，副教授，博士，硕士研究生导师（计算机科学与技术/学术学位、软件工程/学术学位、人工智能/专业学位、电子信息/专业学位 ）。博士毕业于西南交通大学。主持国家自然科学基金青年科学基金项目1项，江苏省高校自然科学研究面上项目1项。在相关研究领域的国际期刊和国际会议上发表SCI论文27篇。作为核心成员获批2024年江苏科技大学优秀研究生导师团队。申请发明专利11项。

    • 科研项目

      （1）国家自然科学青年基金，不确定图上的多粒度知识发现方法研究，2021.01—2023.12，主持，在研。

      （2）江苏省高等学校自然科学研究面上项目,基于粗糙集的不确定图知识发现方法研究，2020.12—2022.12，主持，在研。


    • 论文著作

      [1] 徐泰华*; 张清华; 基于启发式有向圈查询的可疑交易识别研究, 南京大学学报( 自然科学), 2016, 52(5): 879-889.

      [2]Taihua Xu; Guoyin Wang*; Finding strongly connected components of simple digraphs based on generalized rough sets theory, Knowledge-Based Systems, 2018, 149: 88-98.

      [3]Taihua Xu; Guoyin Wang*; Jie Yang; Finding strongly connected components of simple digraphs based on granulation strategy, International Journal of Approximate Reasoning, 2020, 118: 64-78.

      [4] Taihua Xu; Jie Yang*; Guanglei Gou. A Force-Directed Algorithm for Drawing Directed Graphs Symmetrically[J]. Mathematical Problems in Engineering, 2018, 2018:1-24.

      [5] Jie Yang; Guoyin Wang*; Qinghua Zhang; Yuhong Chen; Taihua Xu; Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets, Knowledge-Based Systems, 2019, 163: 131-144.

      [6] Shuai Li; Jie Yang; Guoyin Wang*; Taihua Xu. Multi-granularity Distance Measure for Interval-valued Intuitionistic Fuzzy Concepts[J]. Information Sciences, 2021.

      [7] 程富豪, 徐泰华*, 陈建军, 宋晶晶，杨习贝. 基于顶点粒 k 步搜索和粗糙集的强连通分量挖掘算法[J].计算机科学, 2022, 49(8): 11. 

      [8] 徐泰华, 程富豪, 宋晶晶, 杨习贝，杨洁. 基于顶点粒的强连通分量挖掘算法[J].江苏科技大学学报（自然科学版）, 2022. 

      [9] Gong Zhice, Liu Yuxin, Xu Taihua*, Wang Pingxin, Yang Xibei. Unsupervised attribute reduction: improving effectiveness and efficiency[J]. International Journal of Machine Learning and Cybernetics, 2022,13(11), 3645-3662. 

      [10] Yan Wangwang, Ba Jing, Xu Taihua*, Yu Hualong, Shi Jinlong, Han Bin. Beam Influenced Attribute Selector for Producing Stable Reduct[J]. Mathematics, 2022, 10(4): 553. 

      [11] Chen Qing, Xu Taihua*, Chen Jianjun. Attribute Reduction Based on LIFT and Random Sampling[J]. Symmetry, 2022, 14, 1828. 

      [12] Shi Chengzhi, Xu Taihua*, Cheng Fuhao, Yang Xibei, Chen Jianjun. An Acceleration Method for Attribute Reduction Based on Attribute Synthesis[C]. In International Joint Conference on Rough Sets, pp. 62-74. Cham: Springer Nature Switzerland, 2023. 

      [13] Zhang Shuaishuai, Liu Keyu, Xu Taihua*, Yang Xibei, Zhang Ao. A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation[J], APPLIED INTELLIGENCE, 2023, 53(24): 29781-29798.

      [14]  Liu Zhuangzhuang, Xu Taihua*, Yang Jie, Xia shuyin. Three-way decision of granular-ball rough sets based on fuzziness [C]. In International Joint Conference on Rough Sets, 2024. 

      [15] Jie Yang, Zhuangzhuang Liu, Shuyin Xia, Guoyin Wang, Qinghua Zhang, Shuai Li, Taihua Xu*. 3WC-GBNRS++: A Novel Three-Way Classifier With Granular-Ball Neighborhood Rough Sets Based on Uncertainty [J], IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4376-4387. 

      [16] Taihua Xu, Huixing He, Xibei Yang, Jie Yang, Jingjing Song, Yun Cui. Efficient parallel algorithm for finding strongly connected components based on granulation strategy [J], Knowledge and Information Systems, 2024: 1-25. 

      [17] Taihua Xu, Fengming Hua, Xibei Yang, Yun Cui, Fei Wang, Shuai Li. Finding single-source shortest paths from unweighted directed graphs combining rough sets theory and marking strategy [J], Journal of Applied Mathematics and Computing, 2024: 1-20. 

      [18] He Huixing, Xu Taihua*, Chen Jianjun, Cui Yun, Song Jingjing. A Granulation Strategy-Based Algorithm for Computing Strongly Connected Components in Parallel[J]. Mathematics, 2024, 12(11), 1723. 

      [19] Hua Mingfeng, Xu Taihua*, Yang Xibei, Chen Jianjun, Yang Jie. A novel approach for calculating single-source shortest paths of weighted digraphs based on rough sets theory[J]. Mathematical Biosciences and Engineering. 2024, 21(2): 2626-45. 


  • 数理逻辑（研究生学位课）

    离散数学基础、图论（本科生专业课）

    数据结构（本科留学生课程）


    • 科研项目

      （1）国家自然科学青年基金，不确定图上的多粒度知识发现方法研究，2021.01—2023.12，主持，在研。

      （2）江苏省高等学校自然科学研究面上项目,基于粗糙集的不确定图知识发现方法研究，2020.12—2022.12，主持，在研。


    • 论文著作

      [1] 徐泰华*; 张清华; 基于启发式有向圈查询的可疑交易识别研究, 南京大学学报( 自然科学), 2016, 52(5): 879-889.

      [2]Taihua Xu; Guoyin Wang*; Finding strongly connected components of simple digraphs based on generalized rough sets theory, Knowledge-Based Systems, 2018, 149: 88-98.

      [3]Taihua Xu; Guoyin Wang*; Jie Yang; Finding strongly connected components of simple digraphs based on granulation strategy, International Journal of Approximate Reasoning, 2020, 118: 64-78.

      [4] Taihua Xu; Jie Yang*; Guanglei Gou. A Force-Directed Algorithm for Drawing Directed Graphs Symmetrically[J]. Mathematical Problems in Engineering, 2018, 2018:1-24.

      [5] Jie Yang; Guoyin Wang*; Qinghua Zhang; Yuhong Chen; Taihua Xu; Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets, Knowledge-Based Systems, 2019, 163: 131-144.

      [6] Shuai Li; Jie Yang; Guoyin Wang*; Taihua Xu. Multi-granularity Distance Measure for Interval-valued Intuitionistic Fuzzy Concepts[J]. Information Sciences, 2021.

      [7] 程富豪, 徐泰华*, 陈建军, 宋晶晶，杨习贝. 基于顶点粒 k 步搜索和粗糙集的强连通分量挖掘算法[J].计算机科学, 2022, 49(8): 11. 

      [8] 徐泰华, 程富豪, 宋晶晶, 杨习贝，杨洁. 基于顶点粒的强连通分量挖掘算法[J].江苏科技大学学报（自然科学版）, 2022. 

      [9] Gong Zhice, Liu Yuxin, Xu Taihua*, Wang Pingxin, Yang Xibei. Unsupervised attribute reduction: improving effectiveness and efficiency[J]. International Journal of Machine Learning and Cybernetics, 2022,13(11), 3645-3662. 

      [10] Yan Wangwang, Ba Jing, Xu Taihua*, Yu Hualong, Shi Jinlong, Han Bin. Beam Influenced Attribute Selector for Producing Stable Reduct[J]. Mathematics, 2022, 10(4): 553. 

      [11] Chen Qing, Xu Taihua*, Chen Jianjun. Attribute Reduction Based on LIFT and Random Sampling[J]. Symmetry, 2022, 14, 1828. 

      [12] Shi Chengzhi, Xu Taihua*, Cheng Fuhao, Yang Xibei, Chen Jianjun. An Acceleration Method for Attribute Reduction Based on Attribute Synthesis[C]. In International Joint Conference on Rough Sets, pp. 62-74. Cham: Springer Nature Switzerland, 2023. 

      [13] Zhang Shuaishuai, Liu Keyu, Xu Taihua*, Yang Xibei, Zhang Ao. A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation[J], APPLIED INTELLIGENCE, 2023, 53(24): 29781-29798.

      [14]  Liu Zhuangzhuang, Xu Taihua*, Yang Jie, Xia shuyin. Three-way decision of granular-ball rough sets based on fuzziness [C]. In International Joint Conference on Rough Sets, 2024. 

      [15] Jie Yang, Zhuangzhuang Liu, Shuyin Xia, Guoyin Wang, Qinghua Zhang, Shuai Li, Taihua Xu*. 3WC-GBNRS++: A Novel Three-Way Classifier With Granular-Ball Neighborhood Rough Sets Based on Uncertainty [J], IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4376-4387. 

      [16] Taihua Xu, Huixing He, Xibei Yang, Jie Yang, Jingjing Song, Yun Cui. Efficient parallel algorithm for finding strongly connected components based on granulation strategy [J], Knowledge and Information Systems, 2024: 1-25. 

      [17] Taihua Xu, Fengming Hua, Xibei Yang, Yun Cui, Fei Wang, Shuai Li. Finding single-source shortest paths from unweighted directed graphs combining rough sets theory and marking strategy [J], Journal of Applied Mathematics and Computing, 2024: 1-20. 

      [18] He Huixing, Xu Taihua*, Chen Jianjun, Cui Yun, Song Jingjing. A Granulation Strategy-Based Algorithm for Computing Strongly Connected Components in Parallel[J]. Mathematics, 2024, 12(11), 1723. 

      [19] Hua Mingfeng, Xu Taihua*, Yang Xibei, Chen Jianjun, Yang Jie. A novel approach for calculating single-source shortest paths of weighted digraphs based on rough sets theory[J]. Mathematical Biosciences and Engineering. 2024, 21(2): 2626-45.