I was a Ph.D student in the Wimmics team at INRIA Sophia Antipolis. My research interests mainly focus on social media mining, recommendation system, and large scale data processing.
I was co-supervised by Fabien Gandon and Catherine Faron-Zucker. The subject of my thesis was temporal and semantic analysis of richly typed social networks from user-generated-content sites on the web. I was funded by French National Agency for Research (ANR) project OCKTOPUS.
Zide Meng, Fabien L. Gandon, Catherine Faron-Zucker: Overlapping Community Detection and Temporal Analysis on Q&A Sites. Web Intelligence and Agent Systems 2016 (to appear)
Zide Meng, Fabien L. Gandon, Catherine Faron-Zucker, Ge Song: Detecting topics and overlapping communities in question and answer sites. Social Network Analysis and Mining 5(1): 27:1-27:17 (2015)
Zide Meng, Fabien L. Gandon, Catherine Faron-Zucker: Joint model of topics, expertises, activities and trends for question answering Web applications (full paper). IEEE/WIC/ACM Web Intelligence 2016 (to appear) pdf
Zide Meng, Fabien L. Gandon, Catherine Faron-Zucker: Simplified detection and labeling of overlapping communities of interest in question-and-answer sites (full paper). IEEE/WIC/ACM Web Intelligence 2015 pdf
Zide Meng, Fabien L. Gandon, Catherine Faron-Zucker, Ge Song: Empirical study on overlapping community detection in question and answer sites. (short paper) IEEE/ACM ASONAM 2014: 344-348
Zide Meng, Fabien L. Gandon, Catherine Faron-Zucker: QASM: a Q&A Social Media System Based on Social Semantic. International Semantic Web Conference (Posters & Demos) 2014: 333-336 pdf
Jean-Michel Dalle, Catherine Faron-Zucker, Fabien L. Gandon, Mathieu Lacage, Zide Meng: Online Knowledge Triage: Searching, Detecting, Labelling and Orienting User Generated Content . WWW (Companion Volume) 2016: 667-668
Ge Song, Zide Meng, Fabrice Huet, Frédéric Magoulès, Lei Yu, Xuelian Lin:A Hadoop MapReduce Performance Prediction Method. IEEE HPCC/EUC 2013: 820-825
Xuelian Lin, Zide Meng, Chuan Xu, Meng Wang: A Practical Performance Model for Hadoop MapReduce. CLUSTER Workshops 2012: 231-239
Xuelian Lin, Zide Meng, Tianyu Wo, Ge Song, Peipei Sui: MapReduce job execution time prediction. Patent (CN 103019855 B)