Xiao Huang

Portrait of Xiao Huang 

Ph.D. Candidate

Computer Science & Engineering
Texas A&M University

518 H.R. Bright Building
College Station, TX, 77843

Email: xhuang@tamu.edu

I am looking for a tenure-track position in data science, machine learning, artificial Intelligence, and related fields.

News & Short Bio

  • [2019/08] Summer research internship in Microsoft Research Lab - Redmond.

  • [2019/08] Tutorial on learning from networks on KDD 2019, Alaska.

  • I am now working at the DATA (Data Analytics at Texas A&M) Lab, supervised by Dr. Xia Hu.

  • Received Master's Degree of Science in Electrical Engineering from Illinois Institute of Technology in 2015, supervised by Dr. Salim El Rouayheb.

  • Received my Bachelor's Degree of Science in Engineering from Shanghai Jiao Tong University in 2012.

  • Research Interests: Data Mining. Attributed Network Analysis. Network Embedding. Knowledge Graphs and Analytics.


  1. Xiao Huang, Qingquan Song, Yuening Li, and Xia Hu, Graph Recurrent Networks With Attributed Random Walks, KDD, 2019. (Code)
  2. Xiao Huang, Jingyuan Zhang, Dingcheng Li, and Ping Li, Knowledge Graph Embedding Based Question Answering, WSDM, 2019. (Slides, Code)

  3. Xiao Huang, Qingquan Song, Fan Yang, and Xia Hu, Large-Scale Heterogeneous Feature Embedding, AAAI, 2019. (Slides, Code)

  4. Xiao Huang, Jundong Li, Na Zou, Xia Hu, A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks, TKDD, 2018. (Slides, Code)
  5. Xiao Huang, Qingquan Song, Jundong Li, and Xia Hu, Exploring Expert Cognition for Attributed Network Embedding, WSDM, pages 270–278, 2018. (Slides, Code, Poster)
  6. Ninghao Liu, Xiao Huang, Jundong Li, and Xia Hu, On Interpretation of Network Embedding via Taxonomy Induction, KDD, 2018.

  7. Qingquan Song, Haifeng Jin, Xiao Huang, and Xia Hu, Multi-Label Adversarial Perturbations, ICDM, 2018.

  8. Zepeng Huo, Xiao Huang, and Xia Hu, Link Prediction with Personalized Social Influence, AAAI, 2018.

  9. Na Zou, and Xiao Huang, Empirical Bayes Transfer Learning for Uncertainty Characterization in Predicting Parkinson’s Disease Severity, IISE Transactions on Healthcare Systems Engineering, 2018.

  10. Xiao Huang, Jundong Li, and Xia Hu, Label Informed Attributed Network Embedding, WSDM, pages 731–739, 2017. (Slides, Code)
  11. Xiao Huang, Jundong Li, and Xia Hu, Accelerated Attributed Network Embedding, SDM, pages 633–641, 2017. (Full Version, Slides, Code)

  12. Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, and Xia Hu, Multi-Aspect Streaming Tensor Completion, KDD, pages 435–443, 2017.

  13. Ninghao Liu, Xiao Huang, and Xia Hu, Accelerated Local Anomaly Detection via Resolving Attributed Networks, IJCAI, pages 2337–2343, 2017.

  14. Xiao Huang, and Salim El Rouayheb, Index Coding and Network Coding via Rank Minimization, ITW, pages 14-18, 2015. (Slides, Code, Tutorial)


  1. Conference Travel Grant to Attend WSDM 2019, Melbourne, Australia, February 2019.

  2. Nominated by the Department of Computer Science & Engineering for Participating in 2018 Microsoft Research PhD Fellowship Competition.

  3. Best Poster Runner-Up Award in SDM 2017 Doctoral Forum, Houston, Texas, April 2017.

  4. Conference Travel Grant to Attend SDM 2017, and a session chair of SDM 2017, Houston, Texas, April 2017.

  5. Conference Travel Grant to Attend WSDM 2017, Cambridge, UK, February 2017.

  6. Full Grant to Attend DIMACS Workshop on Coding Theoretic Methods for Network Security, Rutgers, New Jersey, April 2015.

  7. Full Grant to Attend the Two-week SP Coding and Information School, Sau Paulo, Brazil, January 2015.

  8. Second Place in 2014 IIT Research Day Poster Competition, April 2014.