overview

My research focuses on data and network science, particularly applications of probability, statistics, algorithms and machine learning to the acquisition, management and analysis of large datasets in communications networks and beyond.

education and training
selected publications
Academic Articles82
Conference Papers101
  • Bonald, T., & Duffield, N. (2019). Message from the TPC co-chairs. IV.
  • Liu, X. i., Hsieh, P., Duffield, N., Chen, R., Xie, M., Wen, X., & ACM, .. (2019). Real-Time Streaming Graph Embedding Through Local Actions. 285-293.
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  • Hasanzadeh, A., Hajiramezanali, E., Duffield, N., Narayanan, K., Zhou, M., & Qian, X. (2019). Semi-Implicit Graph Variational Auto-Encoders. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018). 32,
  • Hajiramezanali, E., Hasanzadeh, A., Duffield, N., Narayanan, K., Zhou, M., & Qian, X. (2019). Variational Graph Recurrent Neural Networks. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018). 32,
  • Liu, X., Xie, M., Wen, X., Chen, R., Ge, Y., Duffield, N., & Wang, N. (2018). A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.. abs/1808.06573,
Email
duffieldng@tamu.edu
First Name
Nick
Last Name
Duffield
mailing address
Texas A&M University; Electrical Engineering; 3259 TAMU
College Station, TX 77843-3259
USA