1.Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian, Towards Personalized Context Recognition for Mobile Users: A Semi-Supervised Bayesian HMM Approach, ACM Transactions on Knowledge Discovery from Data(TKDD), accepted
2.Hengshu Zhu, Hui Xiong, Yong Ge, and Enhong Chen, Discovery of Ranking Fraud for Mobile Apps, IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted
3.Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen , CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction, ACM Transactions on Intelligent Systems and Technology(TIST), accepted
4.Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu, Agent Behavior Prediction and Its Generalization Analysis, AAAI 2014
5.Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu, Learning Deep Representations for Graph Clustering, AAAI 2014
6.Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen,Influential Nodes Selection: A Data Reconstruction Perspective, SIGIR 2014
7.Hanchao Wang, Lili Zhou, Yu Zong, Lei Zhang, Enhong Chen, Xin Li, and Jun Chen, An Intelligent Search Platform for Business News, WAIM 2014
8.Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, and J. Leon Zhao, Time Series Classification using Multi-Channels Deep Convolutional Neural Networks, WAIM 2014
9.Lili Zhou, Hanchao Wang, Lei Zhang, Enhong Chen, and Jun Chen, A Novel Knowledge Network Framework for Financial News Navigation, WAIM 2014
10.Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao: Learning to detect subway arrivals for passengers on a train. Frontiers of Computer Science 8(2): 316-329 (2014)