环球体育app下载

教师信息个人照片
姓    名俞奎性    别  男

出生年月
最终学位  
毕业学校
从事专业
职    务
所属院系计算机与信息学院
所属科室(研究所)
职     称
联系方式
办公电话
E-mailyukui@cyancampo.cn
通讯地址
邮  编
简    历

环球体育app下载gongxueboshi,huangshanxuezhetepinjiaoshou,boshishengdaoshi。

环球体育app下载2013nian6yuebiyeyuhefeigongyedaxuejisuanjiyuxinxixueyuan,huogongxueboshixuewei。

2013nianzhi2018nianzaijianadayuaodaliyacongshixueshuyanjiugongzuo。


gerenzhuye: http://sites.google.com/site/yukuiwebsite/

研究方向

yanjiufangxiang:

环球体育app下载  yinguoxuexi,shujuwajue,jiqixuexi

yanjiuxiangmu:

1. guojiazirankexuejijinmianshangxiangmu: mianxiangduoyuangaoweishujudejubuyinguoguanxiwajueyanjiu       (61876206, 2019.1-2022.12)zhuchi

环球体育app下载2.zhinengxinxichulishanxishengzhongdianshiyanshikaifangjijin:gaoweishujuzhongdeyinguotuiduanwentiyanjiu

  (CICIP2020003,2020.10-2022.9) 主持

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

4. 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),研究骨干

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

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

教学工作

yanjiushengpeiyang:

环球体育app下载2018jishuoshiyanjiusheng2ming

guoxianjie,liuchaofan

环球体育app下载2019jiboshiyanjiusheng1ming, shuoshiyanjiusheng3ming

yangshuai(boshiyanjiusheng), shuoshiyanjiusheng: yangyajing,caimingzhu,huwentao

环球体育app下载2020jiboshiyanjiusheng1ming, shuoshiyanjiusheng2ming

李玉玲(博士研究生),硕士研究生: 汪玉杰,曹逸文

课程: 人工智能(博士)

获奖情况

1.2014nianduzhongguojisuanjixuehuiyouxiuboshixueweilunwenjiang

2.2014年度加拿大PIMS Postdoctoral Fellowship Award

3.2014 年度ASE (Academy of Science and Engineering) BigDataScience奉献奖

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

主要论著

Software:

1.  pyCausalFS: A Python Library of Causality-based Feature Selection for BN Structure Learning and Classification. 

Selected publications

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. 

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. 

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.

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) .

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. 

6. Kui Yu,  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. 

7. Kui Yu,  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

8. Kui Yu, Wei Ding, Hao Wang. (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.

9. Kui Yu, Dawei Wang, Wei Ding, David L. Small, Shafiqul Islam, Jian Pei,. 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.

10. Kui Yu, Wei Ding, Dan A. Simovici. 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.


Conference Services:

1. Publicity chair: the 2016 IEEE International Conference on Data Science in Cyberspace, Changsha, China, June 13-16, 2016; the 5th International Workshop on Climate Informatics, Boulder, USA, September 24-25, 2015

2. Program vice co-chair: The third IEEE/ASE International Conference on Big Data Science and Computing, Beijing, China, August 4-7, 2014.

3. PC member: ICDM'20, KDD'20, CIKM'20, ECAI'20 (SPC), PAKDD'20, KDD'19, CIKM'19, AAAI'19, PAKDD'19, KDD'18, PAKDD'18,CIKM'18,ICBK'18, IJCAI'17,CIKM'17, SIGKDD'16-17, IEEE ICDM'16, ICNC'15-16, IJCAI'15, IEEE ICTAI'14-15, BigComp'15, IMMM’15,IEEE ICDM'14.

4. PC member: The 2016-2019 ACM SIGKDD Workshop on Causal Discovery (in conjunction with KDD'16, KDD’17, KDD'18, KDD'19)





环球体育app下载