Brief Bio

I am currently a PhD student under the supervision of Dr. Jing Gao in Department of Computer Science and Engineering, the State University of New York at Buffalo. I received M.E. and B.E. from Dalian University of Technology in China.
My research interests broadly are data mining and machine learning, including truth discovery, healthcare data mining and probabilistic graphical model.

Publication

  • Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang. Topic Discovery for Short Texts Using Word Embeddings. Proceedings of the 16th IEEE International Conference on Data Mining (ICDM 2016),Barcelona, Spain, December 2016.
  • Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang. Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. Proceedings of the 22th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, CA, USA, August 2016. [PDF]
  • Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su. Influence-Aware Truth Discovery. Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, USA, October 2016. [PDF]
  • Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher Quinn. Crowdsourcing High Quality Labels with a Tight Budget. Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM 2016), San Francisco, CA, USA, February 2016, pp. 237-246. [PDF] [Slides]
  • Fenglong Ma, Yaliang Li, Qi Li, Minghui Qui, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han. FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, August 2015, pp. 745-754. [PDF] [Poster] [Slides]
  • Fenglong Ma, Jing Gao. Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. Proceedings of the 15th IEEE International Conference on Data Mining Workshop(ICDMW 2015), Atlantic City, NJ, USA, November 2015, pp. 1556-1557. [PDF]
  • In Submission

  • Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang. Discovering Social Spammers from Multiple Views. Under Review. [Code]