个人信息：

黄雁勇，教授，博导

西南财经大学统计与数据科学学院，数据科学系

电子邮箱：huangyy AT 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机器学习、大数据分析与决策、城市计算、粒计算等。已在CVPR、KDD、AAAI、IJCAI、CIKM、IEEE TKDE、IEEE TIP、IEEE TCSVT、IEEE TFS和ACM TKDD等人工智能顶级会议和期刊上发表论文30余篇，主持/主研多项国家级和省部级项目。

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：

• 2024.01-2025.12：四川省自然科学基金面上项目《复杂动态环境下异构低质数据的公平增量学习关键技术研究》

• 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

• 中国计算机学会会员

• 国际粗糙集学会会员

• 担任SCI期刊IJCIS的Area Editor

• 多次担任IJCAI,CIKM高级程序委员会委员

• 长期在ICML、KDD、AAAI、IJCAI、WWW和CIKM等国际顶级会议中担任程序委员会委员

代表性论文：

• Shen, Z., Huang, Y., Wang, D., Ma, M., Lv, F., & Li, T. (2026+). Causally-aware unsupervised feature selection learning. IEEE Transactions on Image Processing, in press (CCF A类期刊).

• Wang, D., Huang, Y., Ying, W., et al. (2026+). Towards data-centric AI: a deep dive into reinforcement and generative intelligence for tabular data transformation. ACM Transactions on Knowledge Discovery from Data, in press (CCF B类期刊).

• Huang, Y., Lu, M., Huang, W., Yi, X., & Li, T. (2025). TIME-FS: Joint learning of tensorial incomplete multi-view unsupervised feature selection and missing-view imputation. Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), 17503-17510 (CCF A类会议).

• Xu, L., Li, K., Wang, D., Zhou, F., Lv, F., & Huang, Y. (2025). Adaptive topological similarity learning for incomplete multi-view unsupervised feature selection. IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2025.3642753 (中科院1区, TOP期刊, CCF B类期刊).

• Wu, Y., Huang, Y., Yao, Z., Fu, Y., Liu, K., Luo, X., & Wang, D. (2025). Adaptive context-infused performance evaluator for iterative feature space optimization. Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), 3448-3457 (CCF B类会议).

• Huang, Y., Shen, Z., Lv, F., & Li, T. (2024). Unified view imputation and feature selection learning for incomplete multi-view data. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 4192-4200 (CCF A类会议).

• Qi, D., Yi, X., Guo, C., Huang, Y., Zhang, J., Li, T., & Zheng, Y. (2024). Spatio-temporal consistency enhanced differential network for interpretable indoor temperature prediction. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 5590-5601 (CCF A类会议).

• Fang, J., Wang, W., Luo, T., Huang, Y., & Lv, F. (2024). Progressive multimodal pivot learning: towards semantic discordance understanding as humans. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 591-601 (CCF B类会议).

• 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, 35, 10681-10694 (CCF A类期刊).

• Huang, Y., Guo, K., Yi, X., Li, Z., & Li, T. (2023). Incremental unsupervised feature selection for dynamic incomplete multi-view data. Information Fusion, 96, 312-327 (中科院1区, TOP期刊, CCF B类期刊).

• 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, 65, 1337-1364 (CCF B类期刊).

• 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, 34, 5796-5808 (CCF A类期刊).

• 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. International Conference on Database Systems for Advanced Applications (DASFAA 2022), 656-663 (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. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2554-2562 (CCF A类会议).

• 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, 26, 3403-3417 (中科院1区，TOP期刊, CCF B类期刊).