Professor
(519) 253-3000 Ext:3786
jlu@uwindsor.ca
Room 5112 Lambton Tower
Education:
- Ph.D. Computer Science from Nanjing University
Research Interests:
- Deep web
- Deep learning
- Sampling-based algorithms
- Online social networks
- Text and graph mining algorithms
Appointments:
- Visiting Scholar, Carnegie Mellon University
- Visiting Scholar, University of Tokyo
- Visiting Scholar, University of Toronto
Selected Publications:
- Roohollah Etemadi, Jianguo Lu, Bias Correction in Clustering Coefficient Estimation, IEEE International Conference on Big Data IEEE BigData, December 2017. Boston.
- Jianguo Lu, Hao Wang, Uniform Random Sampling Not Recommended For Large Graph Size Estimation , Informtion Sciences, Vol 421, 1. 2017. pp 136-153. Elsevier.
- Roohollah Etemadi, Jianguo Lu and Yung H. Tsin, Efficient Estimation of Triangles in Very Large Graphs, CIKM 2016.
- Jianguo Lu, Hao Wang, Variance Reduction In Large Graph Sampling, Information Processing & Management, Elsevier, 50(3):476-491. 2014.
- Yan Wang, Jie Liang, Jianguo Lu, Discover Hidden Web Properties By Random Walk on Bipartite Graph, Information Retrieval, Springer. 17(3):203-228. 2014.
- Jianguo Lu, Dingding Li, Bias Correction in Small Sample from Big Data, IEEE Transactions on Knowledge and Data Engineering, Nov. 2013 (vol. 25 no. 11).