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5112 Lambton Tower,
401 Sunset Avenue
Windsor, ON N9B 3P4, Canada
Phone: (519) 253-3000 ext 3786
Fax: (519) 973-7093
Email: jlu at uwindsor dot ca
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Jianguo Lu is Professor of Computer Science at the University of Windsor.
His research interests are in the areas of the hidden (deep) web, online social networks, text and graph mining algorithms. He obtained his Doctoral degree in Computer Science from Nanjing University. He held visiting positions at Carnegie Mellon University and the University of Toronto. This year I serve in the edtorial board of International Journal of Big Data Intelligence.
To prospective graduate students:
Please do not write to me if we did not meet before--there are emails from prospective students almost everyday, hence I won't reply any enquiries. I am accepting PhD and Master's students and you are welcome to apply via our application system. Acceptted PhD students will receive TAShip and RAship. The RAship for PhD students starts at $12k per year. The thesis topics will be in the area of LLM (Large Language Models). Do not apply if you are not a graduate in computer science -- I won't take students from related areas such as Electrical and Computer Engineering.
My current projects
Mining the deep web using sampling and neural network algorithms, NSERC Discovery.
My past projects
- Semantic Scholar Assistant
(media report) Meta.com in 2017
- Mining online social networks and hidden web data sources by sampling, NSERC Discovery grant.
Some useful links
- Fen Zhao, Yi Zhang, Jianguo Lu, ShortWalk: an approach to network embedding on directed graphs
F Zhao, Y Zhang, J Lu,
Social Network Analysis and Mining 11 (1), 1-12. [PDF] .
- Roohollah Etemadi, Jianguo Lu,
PES: Priority Edge Sampling in Streaming Triangle Estimation, IEEE Transactions on Big Data,
[PDF]
- Fen Zhao, Yi Zhang, Jianguo Lu, Ofer Shai,
Measuring Academic Influence Using Heterogeneous Author-Citation Networks,
Scientometrics, Springer. March 2019, Volume 118, Issue 3, pp 1119-1140. [PDF]
- Yi Zhang, Jianguo Lu, Ofer Shai,
Improve Network Embeddings with Regularization, CIKM, 2018.
 . Data page
- Roohollah Etemadi, Jianguo Lu,
Bias Correction in Clustering Coefficient Estimation,
IEEE International Conference on Big Data IEEE BigData, December 2017. Boston.
. Data page
- Jianguo Lu, Hao Wang,
Uniform Random Sampling Not Recommended For Large Graph Size Estimation ,
Informtion Sciences, Vol 421, 1. 2017. pp 136-153. Elsevier.
[Data] [bibFile]
- Roohollah Etemadi, Jianguo Lu and Yung H. Tsin,
Efficient Estimation of Triangles in Very Large Graphs, CIKM 2016.
[Bibfile] [ Data]
- Yan Wang, Jianguo Lu, Jessica Chen, Yaxin Li, Crawling ranked deep web data sources, Journal of WWW, 2016, Springer.
Springer OnlineFirst . Bibfile
- Wentao Han, Xiaowei Zhu, Ziyan Zhu, Wenguang Chen, Weimin Zheng, Jianguo Lu,
Weibo, and a Tale of Two Worlds, The 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. Slides[PDF]
- 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. Electronic preprint . 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).
- Jianguo Lu,
Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method , Data and Knowledge Engineering, Elsevier. 69(8): 866-879 (2010).
- Jianguo Lu, Dingding Li,
Estimating Deep Web Data Source Size by Capture-Recapture Method,
Information Retrieval. Springer. Vol 13(1) 2010. p. 70-95.
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