个人信息：

黄雁勇，教授，博导

西南财经大学统计学院，数据科学系

电子邮箱：huangyy@swufe.edu.cn

简历：

西南交通大学与德国哈根大学双博士，主要研究方向为数据挖掘与知识发现、大数据分析与决策、城市计算、粒计算与粗糙集等。

学术荣誉：

• 2018年：四川省计算机学会2018年度优秀论文奖

• 2016年：国际学术会议FLINS2016优秀论文奖

主持项目：

• 2022.01-2025.12：教育部人文社科研究青年基金项目《基于粒计算的动态异质金融数据融合方法研究》

• 2021.01-2021.12：中央高校基本科研业务费青年教师成长项目《面向异构低质数据的多粒度增量融合方法研究》

• 2020.01-2020.12：中央高校基本科研业务费青年教师成长项目《基于粒计算的动态多源复杂数据融合方法研究》

• 2018.01-2019.12：中央高校基本科研业务费引进人才科研启动资助项目《面向动态复杂数据的高效知识获取方法研究》
  

学术兼职：

中国人工智能学会粒计算与知识发现专业委员会委员、四川省人工智能学会委员。IEEE Transactions on Fuzzy Systems、Knowledge-Based Systems、Information Sciences等国际期刊的长期审稿人。

代表性论文：

• Huang, Y., Shen Z., Cai Y., Yi, X., Wang, D., Lv, F. & Li, T. (2023). C²IMUFS: Complementary and consensus learning-based incomplete multi-view unsupervised feature selection, IEEE Transactions on Knowledge and Data Engineering, in press. (CCF A类, Top期刊, SCI, 影响因子：9.235)

• Huang, Y., Guo, K., Yi, X., Li, Z. & Li, T. (2023). Incremental unsupervised feature selection for dynamic incomplete multi-view data, Information Fusion, Vol. 96, pp. 312-327. (中科院1区, TOP期刊, SCI, 影响因子: 17.564)

• Wang, D., Liu, K., Huang, Y., Sun, L., Du, B. & Fu, Y. (2023). Automated urban planning aware spatial hierarchies and human instructions, Knowledge and Information Systems, Vol. 65, pp. 1337-1364. (CCF B类, SCI, 影响因子：2.531)

• Yi, X., Yang, X., Huang, Y., Ke, S., Zhang, J., Li, T. & Zheng, Y. (2022). Gas-theft suspect detection among boiler room users: A data-driven approach, IEEE Transactions on Knowledge and Data Engineering, Vol. 34, pp. 5796-5808. (通讯作者，CCF A类, Top期刊, SCI, 影响因子：6.977)
  

• Huang, Q., Huang, Y., Li, T. & Yang, X. (2022). Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data, Information Sciences, Vol. 597, pp. 358-391. (中科院1区，TOP期刊, SCI, 影响因子: 6.795)

• Huang, Y., Guo, K., Yi, X., Yu, J., Shen Z. & Li, T. (2022). T-copula and Wasserstein distance-based stochastic neighbor embedding, Knowledge-Based Systems, Vol. 243, no. 108431. (中科院1区, SCI, 影响因子: 8.038)

• Chuan, L., Zheng J., Li T., Chen H., Huang, Y., & Peng, X. (2022). Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving, Information Sciences, Vol. 586, pp. 662-675. (中科院1区，TOP期刊, SCI, 影响因子: 6.795)
  

• Huang, Y., Guo, K., Yi, X., Li, Z. & Li, T. (2022). Matrix representation of the conditional entropy for incremental feature selection on multi-source data, Information Sciences, Vol. 591, pp. 263-286. (中科院1区，TOP期刊, SCI, 影响因子: 6.795)

• Luo, C., Pi, H., Li, T., Chen, H. & Huang, Y. (2022). Novel fuzzy rank discrimination measures for monotonic ordinal feature selection, Knowledge-Based Systems, Vol. 240, no. 108178. (中科院1区，SCI, 影响因子: 8.038)

• Huang, Y., Shen, Z., Cai, F., Li, T. & Lv, F. (2021). Adaptive graph-based generalized regression model for unsupervised feature selection, Knowledge-Based Systems, Vol. 227. pp. 1-14. (中科院1区, SCI, 影响因子: 8.038)

• Huang, Y., Li, T., Luo, C., Fujita, H., Horng, S. & Wang, B. (2020). Dynamic maintenance of rough approximations in multi-source hybrid information systems, Information Sciences, Vol. 530, pp. 108-127. (中科院1区，TOP期刊, SCI, 影响因子: 6.795)
  

• Huang, Q., Li, T., Huang, Y. & Yang, X. (2020). Incremental three-way neighborhood approach for dynamic incomplete hybrid data, Information Sciences, Vol. 541, pp. 98-122. (中科院1区，TOP期刊, SCI, 影响因子: 6.795)
  

• Huang, Q., Li, T., Huang, Y., Yang, X. & Fujita, H. (2020). Dynamic dominance rough set approach for processing composite ordered data, Knowledge-Based Systems, Vol. 187, pp. 1-17. (中科院1区, SCI, 影响因子: 8.038)

• Wang, D., Chen, H., Li, T., Wan, J. & Huang, Y. (2020). A novel quantum grasshopper optimization algorithm for feature selection, International Journal of Approximate Reasoning, Vol. 127, pp. 33-53. (中科院3区, SCI, 影响因子: 3.816)
  

• Luo, C., Li, T., Huang, Y. & Fujita, H. (2019). Updating three-way decisions in incomplete multi-scale information systems, Information Sciences, Vol.476, pp. 274-289. (中科院1区，TOP期刊, SCI, 影响因子: 6.795)

• Huang, Y., Li, T., Luo, C., Fujita, H. & Horng, S. (2018). Dynamic fusion of multisource interval-valued data by fuzzy granulation, IEEE Transactions on Fuzzy Systems, Vol. 26, pp. 3403-3417. (中科院1区，TOP期刊, SCI, 影响因子: 12.029)

• Huang, Y., Li, T., Luo, C., Fujita, H. & Horng, S. (2017). Dynamic variable precision rough set approach for probabilistic set-valued information systems, Knowledge-Based Systems, Vol. 122, pp. 131-147. (中科院1区, SCI, 影响因子: 8.038)

• Huang, Y., Li, T., Luo, C., Fujita, H. & Horng, S. (2017). Matrix-based dynamic updating rough fuzzy approximations for data mining, Knowledge-Based Systems, Vol. 119, pp. 273-283. (中科院1区, SCI, 影响因子: 8.038)

会议论文：

• Duan, Z., Yi X., Li P., Qi D., Li Y., Xu H., Huang, Y., Zhang J. & Zheng, Y. (2022). Multi-memory enhanced separation network for indoor temperature prediction, the The International Conference on Database Systems for Advanced Applications (DASFAA), pp. 656-663. (通讯作者，CCF B类会议)
  

• Lv, F., Chen, X., Huang, Y., Duan, L. & Lin, G. (2021). Progressive modality reinforcement for human multimodal emotion recognition from unaligned multimodal sequences, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 254-2562. (通讯作者，CCF A类会议)

• Huang, Y., Guo, K. & Deng, W. (2020). T-Copula-based stochastic neighbor embedding, Proceedings of FLINS2020, Cologne, Germany.

• Huang, Y., Li, T., Luo, C. & Horng, S. (2016). Incremental maintenance of rough approximations in dynamic multi-Source hybrid information systems, Proceedings of FLINS2016, Roubaix, France.