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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號合肥工業大學計算機與信息學院
郵  編230601
簡    歷

工學博士,黃山學者特聘教授,博士生導師。

2013年6月畢業于合肥工業大學計算機與信息學院,獲工學博士學位。

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月進入合肥工業大學計算機與信息學院工作。

個人主頁: https://sites.google.com/site/yukuiwebsite/

研究方向

研究方向:

   因果學習,數據挖掘,機器學習

研究項目:

1. 國家自然科學基金面上項目:面向多源高維數據的局部因果關系挖掘研究       (61876206, 2019.1-2022.12)主持

2. 教育部創新團隊:多源海量動態信息處理(IRT13059,2014.1-2016.12)吉利彩票app下载软件,研究骨干

3. 國家863計劃課題:多源異構數據集成與挖掘的關鍵技術研究(2012AA011005吉利彩票app下载软件,2012.1-2014.12),研究骨干

4. ARC(Australia)項目:Efficient causal discovery from observational data (DP14010 3617,2014.1-2016.12)吉利彩票app下载软件,研究骨干

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

教學工作

研究生培養:


2018級碩士研究生3名


2019級博士研究生1名, 碩士研究生3名


課程:人工智能(本科,博士)

獲獎情況

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.



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