Jianyong Wang
Jump to navigation
Jump to search
Jianyong Wang is a person.
- Context:
- He has Erdős Number of 4 (via Jiawei Han)
- See: Frequent-Pattern Mining.
References
- Professional Homepage: http://dbgroup.cs.tsinghua.edu.cn/wangjy/
- DBLP Page: http://dblp.uni-trier.de/pers/hd/w/Wang:Jianyong.html
- Google Scholar Author Page: https://scholar.google.com/citations?user=aXdjxb4AAAAJ
2015
- (Zhang & Wang, 2015) ⇒ Wei Zhang, and Jianyong Wang. (2015). “A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783336
- (Shen et al., 2015) ⇒ Wei Shen, Jianyong Wang, and Jiawei Han. (2015). “Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions.” IEEE Transactions on Knowledge and Data Engineering 27, no. 2
2014
- (Yin & Wang, 2014) ⇒ Jianhua Yin, and Jianyong Wang. (2014). “A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623715
2013
- (Feng & Wang, 2013) ⇒ Wei Feng, and Jianyong Wang. (2013). “Retweet Or Not?: Personalized Tweet Re-ranking.” In: Proceedings of the sixth ACM International Conference on Web search and data mining. ISBN:978-1-4503-1869-3 doi:10.1145/2433396.2433470
- (Shen et al., 2013) ⇒ Wei Shen, Jianyong Wang, Ping Luo, and Min Wang. (2013). “Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487686
2003
- (Aggarwal et al., 2003) ⇒ Charu C. Aggarwal, Jiawei Han, Jianyong Wang, and Philip S. Yu. “A Framework for Clustering Evolving Data Streams." (2003). In: Proceedings of the 29th International Conference on Very large data bases (VLDB 2003).