Yuxiao Dong
Applied Scientist
Microsoft Research Redmond

Email: ericdongyx@gmail [dot] com or yuxdong@microsoft [dot] com
LinkedIn:


Research Interests

I am an applied scientist at Microsoft Research Redmond. My research focuses on social networks, data mining, and computational social science, with an emphasis on applying computational models to addressing problems in large-scale networked systems, such as Microsoft Academic Graph (MAG), online social media, and mobile communication.

I was a Ph.D. student under the supervision of Prof. Nitesh V. Chawla in the Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame. I have also worked with Prof. Jie Tang at Tsinghua University and interned at Microsoft Research, IBM Research, and Army Research Lab. More information can be found on my LinkedIn profile.


Selected Publications

Networks:
Problems:
Venues:

  1. Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in a Large-Scale Mobile Communication Network.
    Yuxiao Dong§, Omar Lizardo§, Nitesh V. Chawla. (§Equal Contribution)
    PrePrint 2016, arXiv:1606.07556.
  2. User Modeling on Demographic Attributes in Big Mobile Social Networks. code
    Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang.
    TOIS 2017 (ACM Transactions on Information Systems), 2017 (accepted).
  3. Can Scientific Impact Be Predicted? data bibtex
    Yuxiao Dong§, Reid A. Johnson§, Nitesh V. Chawla. (§Equal Contribution)
    TBD 2016 (IEEE Transactions on Big Data), 2016. Full Paper.
  4. Will This Paper Increase Your h-index? Scientific Impact Prediction. slides poster data bibtex
    Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla.
    WSDM'15 (Proc. of the 8th ACM International Conference on Web Search and Data Mining), 2015. Full Paper, 16.4%.
    Best Paper Award Nomination (4/39)
    Featured on Open Science
  5. Inferring Unusual Crowd Events From Mobile Phone Call Detail Records. slides bibtex
    Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, Nitesh V. Chawla.
    ECML/PKDD'15 (Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), 2015. Full Paper, 23%.
  6. Inferring Social Status and Rich Club Effects in Enterprise Communication Networks. plos supporting info slides bibtex
    Yuxiao Dong, Jie Tang, Nitesh V. Chawla, Tiancheng Lou, Yang Yang, Bai Wang.
    PLoS ONE 2015. DOI: 10.1371/journal.pone.0119446. March 2015. (if2013=3.534).
  7. Inferring User Demographics and Social Strategies in Mobile Social Networks. slides poster madness code bibtex
    Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla.
    KDD'14 (Proc. of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), 2014. Full Paper, 14.6%.
    Featured on United Nations Global Pulse Notre Dame News ACM TechNews phys.org
  8. Predicting Node Degree Centrality with the Node Prominence Profile. scirep supporting info
    Yang Yang, Yuxiao Dong, Nitesh V. Chawla.
    Scientific Reports 2014. DOI:10.1038/srep07236, November 2014. (if2013=5.078).
    Featured on Notre Dame News
  9. A Novel Genetic Algorithm for Overlapping Community Detection. code bibtex
    Yanan Cai, Chuan Shi, Yuxiao Dong, Qing Ke, Bin Wu.
    ADMA'11 (Proc. of the 7th International Conference on Advanced Data Mining and Applications), 2011.
    Best Application Paper Award

Professional Activities

Conference PC members:

  1. KDD 2017, WWW 2017; WSDM 2017; SDM 2017; ASONAM 2017, 2016, 2015; CIKM 2016

Journal Reviewers:

  1. TKDE, IEEE Transactions on Knowledge and Data Engineering
  2. TKDD, ACM Transactions on the Knowledge Discovery from Data
  3. CSUR, ACM Computing Surveys
  4. KAIS, Knowledge and Information System
  5. DKE, Data and Knowledge Engineering
  6. SNAM, Social Network Analysis and Mining