Xiangnan Kong (pronounced as Sean Nan Kong)
Graduate Student
Department of Computer Science
University of Illinois at Chicago
851 S. Morgan St., Chicago, IL 60607 Office: Rm 1336 SEO Email: xkong4 at uic dot edu / kongxn at gmail dot com
I graduated from the Nanjing University with a Bachelor's degree (2006) and a Master's degree (2009) both in Computer Science. I worked on data mining and machine learning research in Prof. Zhi-Hua Zhou's LAMDA reseach group (2006-2009).
Research Interests
My research interests include the following:
Graph mining
Collective classification
Semi-supervised classification
Multi-label learning
Active learning
Publications
Conference Papers
Chuan Shi, Chong Zhou, Xiangnan Kong, Philip Yu, Gang Liu.
HeteRecom: A Semantic Recommendation System in Heterogeneous Networks.
In: Proceedings of the 18st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12) (system demo), Beijing, China, 2012.
Wangqun Lin, Xiangnan Kong, Philip Yu, Quanyuan Wu, Yan Jia and Chuan Li.
Community Detection in Incomplete Information Networks.
In: Proceedings of the 21st International World Wide Web Conferences (WWW'12), Lyon, France, 2012. (12% acceptance)
Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong
Xie, and Bin Wu. Relevance Search in Heterogeneous Networks. In: Proceedings of the 15th International Conference on Extending Database Technology (EDBT'12), Berlin, Germany, 2012. (22.5% acceptance)
Chuan Shi, Xiangnan Kong, Philip S. Yu, and Bai Wang. Multi-Objective Multi-Label Classification. In: Proceedings of the 12th SIAM International Conference on Data Mining (SDM'12), Anaheim CA, 2012. (Oral Paper, 14.6% acceptance)
Xiaoxiao Shi, Xiangnan Kong and Philip S. Yu. Transfer Significant Subgraphs across Graph Databases. In: Proceedings of the 12th SIAM International Conference on Data Mining (SDM'12), Anaheim CA, 2012. (Oral Paper, 14.6% acceptance)
Yuchen Zhao, Xiangnan Kong and Philip S. Yu. Positive and Unlabeled Learning for Graph Classification. In: Proceedings of the 11th IEEE International Conference on Data Mining (ICDM'11), Vancouver, BC, 2011. (Full Paper, 12.3% acceptance)
Chuan Shi, Xiangnan Kong, Philip S. Yu and Bai Wang. Multi-label Ensemble Learning. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'11), pages 223-239, Athens, Greece, 2011. (20% acceptance)
Xiangnan Kong, Wei Fan and Philip S. Yu. Dual Active Feature and Sample Selection for Graph Classification. In: Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'11), pages 654-662, San Diego CA, 2011. (Oral Paper, 7.8% acceptance)
Xiangnan Kong, Xiaoxiao Shi and Philip S. Yu. Multi-label Collective Classification. In: Proceedings of the 11th SIAM International Conference on Data Mining (SDM'11), pages 618-629, Mesa AZ, 2011. (25.07% acceptance)
Xiangnan Kong and Philip S. Yu. Multi-label Feature Selection for Graph Classification. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), pages 274-283, Sydney Australia, 2010. (Full Paper, 9.03% acceptance)
- Selected as a best ICDM'10 paper for publication in Knowledge and Information Systems (KAIS).
Xiangnan Kong and Philip S. Yu. Semi-supervised Feature Selection for Graph Classification. In: Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'10), pages 793-802, Washington DC, 2010. (Full Paper, 13.3% acceptance) [video]
