1) Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He: Tri-Training for authorship attribution with limited training data: a comprehensive study. NeuroComputing, 171: 798-806, 2016
2) Tieyun Qian, Bing Liu, Qing Li, Jianfeng Si: Review Authorship Attribution in a Similarity Space. Journal of Computer Science and Technology, 30(1): 200-213, 2015
3) Li Chen, Tieyun Qian, Fei Wang, Zhenni You, Qingxi Peng, Ming Zhong: Age Detection for Chinese Users in Weibo. The 16th International Conference on Web-Age Information Management (WAIM), 83-95. 2015.
4) Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He: Co-training on authorship attribution with very few labeled examples: methods vs. views. The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014), poster paper, 903-906, Australia, July, 2014.
5) Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng: Tri-Training for Authorship Attribution with Limited Training Data. Proc. of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), short paper, 345-351, Baltimore, MD, USA, 2014.
6) Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang: Exploiting small world property for network clustering. World Wide Web 17(3): 405-425, 2014
7) Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu: Topic formation and development: a core-group evolving process. World Wide Web 17(6): 1343-1373, 2014.
8) Mengdi Fan, Tieyun Qian, Li Chen, Bin Liu, Ming Zhong, Guoliang He: Authorship Attribution with Very Few Labeled Data: A Co-training Approach. The 15th International Conference on Web-Age Information Management (WAIM), 657-668. 2014.
9) Tieyun Qian, Bing Liu. Identifying Multiple Userids of the Same Author. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing ( EMNLP), 1124-1135, Seattle, Washington, USA, October, 2013.
10) Tieyun Qian, Jianfeng Si, Qing Li, Qian Yu: Leveraging Network Structure for Incremental Document Clustering. The 14th Asia-Pacific Web Conference on Web Technologies and Applications (APWeb), 2014, 342-353.
11) Tieyun Qian, Qing Li, Jaideep Srivastava: A framework for evaluating network measures for functional importance. WWW, 2011: 109-110.
12) Tieyun Qian, Yang Yang, Shuo Wang: Refining Graph Partitioning for Social Network Clustering. WISE 2010: 77-90.
2. 近年来参与的国家和省部级项目