師資隊伍

教師信息個人照片
姓    名俞奎性    別  男

出生年月
最終學位  
畢業學校
從事專業
職    務
所屬院系計算機與信息學院
所屬科室(研究所)
職     稱
聯系方式
辦公電話
E-mailyukui@hfut.edu.cn
通訊地址安徽省合肥市丹霞路485号卓易彩票
郵  編230601
簡    曆

工学博士,黄山学者特聘教授,博士生導師。

2013年6月毕业于卓易彩票,获工学博士学位。

2013年至2018年在加拿大與澳大利亞從事學術研究工作。

2017年12月进入卓易彩票工作。

个人主页: https://sites.google.com/site/yukuiwebsite/

研究方向

研究方向:

   因果学习,数据挖掘,机器学习

研究項目:

1. 国家自然科学基金面上项目:面向多源高维数据的局部因果关系挖掘研究       (61876206, 2019.1-2022.12)主持

2. 教育部创新团队:多源海量动态信息处理(IRT13059,2014.1-2016.12),研究骨幹

3. 国家863计划课题:多源异构数据集成与挖掘的关键技术研究(2012AA011005,2012.1-2014.12),研究骨幹

4. ARC(Australia)项目:Efficient causal discovery from observational data (DP14010 3617,2014.1-2016.12),研究骨幹

5. ARC(Australia)项目:Develop efficient data mining methods for evidence based decision making(DP170101306,2017.1-2019.12),研究骨幹

教學工作

研究生培養:


2018級碩士研究生3名


2019级博士研究生1名, 硕士研究生3名


課程:人工智能(本科,博士)

獲獎情况

1.2014年度中國計算機學會優秀博士學位論文獎

2.2014年度加拿大PIMS Postdoctoral Fellowship Award

3.2014 年度ASE (Academy of Science and Engineering) BigDataScience奉獻獎

4.2013年度加拿大(Simon Fraser University) The Ebco Eppich Fellowship Award

主要論著

Selected publications(IF:影響因子)

1. Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, and Thuc Le. Multi-Source Causal Feature Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2019.2908373, 2019. (IF: 17.730)

2. Xindong Wu, Kui Yu, Wei Ding, Hao Wang, and Xingquan Zhu. (2013) Online Feature Selection with Streaming Features. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 35(5): 1178-1192. (IF: 17.730)

3. Kui Yu, Lin Liu, and Jiuyong Li. Learning Markov Blankets from Multiple Interventional Datasets. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2019.2927636, 2019 (IF: 11.683)

4. Kui Yu and Huanhuan Chen. Markov boundary-based outlier Mining. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 30(4): 

1259-1264 (2019) (IF: 11.683).

5. Kui Yu, Lin Liu, Jiuyong Li, and Huanhuan Chen. Mining Markov Blanket without Causal Sufficiency. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 29(12): 6333-6347, 2018. (IF: 11.683).

6. Kui Yu, Xindong Wu, Wei Ding, Yang Mu, and Hao Wang. Markov Blanket Feature Selection using Representative Sets. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 28(11): 2775-2788, 2017. (IF: 11.683).

7. Kui Yu, Xindong Wu, Wei Ding, and Jian Pei. Scalable and Accurate Online Feature Selection for Big Data. ACM Transactions on Knowledge Discovery from Data (TKDD), 11(2),1:39, 2016(IF: 2.261)

8. Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, and Xindong Wu. (2015) Classification with Streaming Features: An Emerging Pattern Mining Approach. ACM Transactions on Knowledge Discovery from Data (TKDD), 

9(4):1-30. (IF: 2.261)

9. Kui Yu, Wei Ding, Hao Wang, and Xindong Wu. (2013) Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data. IEEE Transactions on Knowledge and Data Engineering (TKDE)25(12): 2721-2739. (IF: 3.857)

10. Kui Yu, Dawei Wang, Wei Ding, David L. Small, Shafiqul Islam, Jian Pei, and Xindong Wu. Tornado Forecasting with Multiple Markov Boundaries. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), 10-13 August, Sydney, Australia.

11. Kui Yu, Wei Ding, Dan A. Simovici, and Xindong Wu. Mining Emerging Patterns by Streaming Feature Selection. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, China, August 12-16, 2012, 60-68.

12.Xindong Wu, Kui Yu, Hao Wang, and Wei Ding. Online Streaming Feature Selection. Proceedings of the 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, June 21-24, 2010, 1159-1166.

13. Kui Yu, Xindong Wu, Wei Ding, and Pei Jian. Towards Scalable and Accurate Online Feature Selection for Big Data. Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014), Shenzhen,China, December 14-17, 2014.

14. Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, and Wei Ding. Markov Blanket Feature Selection with Non-Faithful Data Distributions. Proceedings of the 13th IEEE International Conference on Data Mining (ICDM 2013), Dallas, Texas, December 7-10, 2013,857-866.

15. Kui Yu, Xindong Wu, Wei Ding, and Hao Wang. Causal Associative Classification. Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, December 11-14, 2011, 914-923.