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.

News

  • [Aug 2017] One regular paper accepted by ICDM 2017!
  • [Jul 2017] Won KDD 2017 stuent travel award!
  • [Jun 2017] One paper accepted by AMIA 2017!
  • [May 2017] Two papers accepted by KDD 2017!
  • Publications

    Conference: KDD(4), WSDM(1), ICDM(2), CIKM(1), AMIA(1)
    Journal: Neurocomputing(1)
    Workshop: ICDMW(2), SML(1)

    1. Discovering Truths from Distributed Data
      Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao.
      Proceedings of the 17th IEEE International Conference on Data Mining (ICDM 2017), New Orleans, USA, November 2017. [Paper]
    2. A Multi-Task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks
      Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso.
      Proceedings of AMIA 2017 Annual Symposium (AMIA 2017), Washington DC, USA, November 2017. [Paper]
    3. Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
      Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao.
      Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, NS, Canada, August 2017. [Paper][Video][Bib]
    4. Unsupervised Discovery of Drug Side-Effects From Heterogeneous Data Sources
      Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang.
      Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, NS, Canada, August 2017. [Paper][Video][Bib]
    5. Discovering Social Spammers from Multiple Views
      Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang.
      Neurocomputing, 2017, pp. 49-57. [Paper] [Code] [Bib]
    6. Long-Term Memory Networks for Question Answering
      Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao.
      Proceedings of IJCAI Workshop on Semantic Machine Learning (SML 2017) (SML 2017), Melbourne, Australia, August 2017. [Paper][Data]
    7. Topic Discovery for Short Texts Using Word Embeddings
      Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang.
      Proceedings of the 16th IEEE International Conference on Data Mining (ICDM 2016), Barcelona, Spain, December 2016. [Paper] [Bib]
    8. Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach
      Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang.
      Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, CA, USA, August 2016. [Paper] [Bib]
    9. Influence-Aware Truth Discovery
      Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su.
      Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, USA, October 2016. [Paper] [Bib]
    10. Crowdsourcing High Quality Labels with a Tight Budget
      Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher Quinn.
      Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM 2016), San Francisco, CA, USA, February 2016. [Paper] [Slides] [Bib]
    11. FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation
      Fenglong Ma, Yaliang Li, Qi Li, Minghui Qui, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han.
      Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, August 2015. [Paper] [Poster] [Slides] [Bib]
    12. Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data
      Fenglong Ma, Jing Gao.
      Proceedings of the 15th IEEE International Conference on Data Mining Workshop (ICDMW 2015), Atlantic City, NJ, USA, November 2015. [Paper] [Bib]
    13. Topical Influential User Analysis with Relationship Strength Estimation in Twitter
      Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang.
      Proceedings of the 14th IEEE International Conference on Data Mining Workshop (ICDMW 2014), Shenzhen, China, December 2014. [Paper] [Bib]

    Conference Deadlines

    Conference Abstract Full Notification Camera Ready Location Date
    CIKM2017 May 16, 2017 May 23, 2017 Aug 6, 2017 Aug 27, 2017 Pan Pacific, Singapore Nov 6-10, 2017
    ICDM2017 Jun 5, 2017 Aug 17, 2017 New Orleans, USA Nov 18-21, 2017
    SIGMOD2018 (1st) Jul 6, 2017 Jul 13, 2017 Sep 20, 2017 Feb 16, 2018 Houston, TX, USA Jun 10-15, 2018
    WSDM2018 Aug 4, 2017 Aug 11, 2017 Oct 23, 2017 Los Angeles, USA Feb 6-8, 2018
    SDM2018 Oct 6, 2017 Oct 13, 2017 San Diego, CA, USA May 3-5, 2018
    WWW2018 Oct 26, 2017 Oct 31, 2017 Dec 22, 2017 Feb 14, 2018 Lyon, France Apr 23-27, 2018
    SIGMOD2018 (2nd) Oct 26, 2017 Nov 2, 2017 Jan 19, 2018 Mar 23, 2018 Houston, TX, USA Jun 10-15, 2018
    KDD2018
    VLDB2018 1st of every month 1.5 months from submission 1 month from acceptance Rio de Janeiro, Brazil Aug 27-31, 2018