NSF Award EAGER: Real-Time: Learning-Mediated Control for Traffic Shaping, PI N. Duffield, Co-PI’s, K. Narayanan, S. Shakkottai, A. Talebpour, $300,000, 10/1/2018-9/30/2020

# Category Archives: Uncategorized

# Paper accepted at ICDM 2018

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games, by Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, and Na Wang, accepted to appear at ICDM 2018

# NSF Award for Graph Stream Sampling

- NSF Grant 1848596 Adaptive Sampling of Massive Graph Streams, PI N. Duffield, 09/01/2018 to 08/21/2020, $200,488

Our paper Sampling for Approximate Bipartite Network Projection by Nesreen Ahmed (Intel), Nick Duffield and Liangzhen Xia (Facebook) has been accepted to appear at IJCAI-ECAI-2018 (Acceptance rate 20%)

# New paper on graph reconstruction

Preprint: Graph Reconstruction from Path Correlation Data by G. Berkolaiko (Texas A&M Mathematics), N. Duffield, M. Ettehad (Texas A&M Mathematics) and K. Manouskais (Vencore Labs)

# 2018 Summer Internship for Hanzi Mao

Congratulations to PhD student Hanzi Mao who will intern as a Data Scientist at Pinterest this summer!

# Congratulations to Liangzhen Xia on her MS!

Congratulations to Liangzhen Xia who will be graduating with her MS this month. She will be joining Facebook in 2018.

# New paper on Graph Signal Processing for Transportation Analytics

A Graph Signal Processing Approach For Real-Time Traffic Prediction In Transportation Networks by Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan, Byron Chigoy, 2017, submitted

# CIKM paper on Stream Aggregation

Our paper “Stream Aggregation Through Order Sampling” by Nick Duffield, Yunhong Xu, Liangzhen Xia, Nesreen Ahmed, Minlan Yu has been accepted to CIKM’17

# VLDB’17 paper on Sampling from Massive Graph Streams

Our paper On Sampling from Massive Graph Streams, by Nesreen K. Ahmed, Nick Duffield, Theodore Willke, Ryan A. Rossi has been accepted to the Very Large Databases conference (VLDB’17)