Dr. Shu Wu received the BSc degree from Hunan University, China, in 2004, the MSc degree from Xiamen University, China, in 2007, and the PhD degree from the University of Sherbrooke, Canada, in 2012, all in computer science. He is an Associate Professor in the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. His research interests include data mining, recommendation systems, pervasive computing, and network data analytics. He is a member of the IEEE, ACM and ACM SIGIR.

Data mining, recommendation systems, pervasive computing, network data analytics

1. Qiang Liu, Shu Wu and Liang Wang, “COT: Contextual Operating Tensor for Context-aware Recommender Systems,” Proc. AAAI Conference on Artificial Intelligence, pp. 203-209, January 2015, Austin, Texas, USA.
2. Shu Wu and Shengrui Wang, “Information-theoretic Outlier Detection for Large-scale Categorical Data,” IEEE Trans. on Knowledge and Data Engineering (TKDE), VOL. 25, 2013.
3. Shu Wu and Shengrui Wang, “Parameter-free Outlier Detection for Large-scale Categorical Data,” Proc. International Conference on Machine Learning and Data Mining (MLDM 2011), 2011.
4. Shu Wu and Shengrui Wang, “Rating-based Collaborative Filtering Combined with Additional Regularization,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), 2011.
5. Shu Wu, Qingshan Jiang and Joshua Zhexue Huang, “A New Initialization Method for Clustering Categorical Data,” Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), 2007.