Yue Ning

I am an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology and Affiliated faculty at Stevens Institute for Artificial Intelligence (SIAI). My research interests are machine learning, data analytics, and social media analysis motivated by real-world problems in social informatics, health informatics, and personalization. Specifically, my research group focuses on developing predictive methods to capture spatio-temporal, dynamic, and interpretable patterns in large-scale data. I received my Ph.D. from the Department of Computer Science of Virginia Tech under Dr. Naren Ramakrishnan. I was a student member at the Discovery Analytics Center.

02.2021	Check out our toturial on Explainable AI for Societal Event Predictions in AAAI 2021.
01.2021	I will sever on the Bergen County Academies ATCS advisory board.
11.2020	I will serve as a senior PC for IJCAI-2021.
10.2020	Paper on asynchronous online federated learning was accepted by IEEE BigData 2020.
07.2020	Paper on predicting long-term influenza-like illness cases was accepted by CIKM 2020.
07.2020	Invited to serve on the PC of ICLR 2021, IJCAI 2021, TheWebConf 2021.
05.2020	Paper on dynamic knowledge graph based multi-event forecasting was accepted by KDD 2020.
05.2020	Received an NSF CRII award to explore and create deep learning models for learning dynamic graph-based event precursors. Thanks NSF!
03.2020	Paper on reducing identity bias in detecting toxic comment detection was accepted by ICWSM 2020.
09.2019	Received an Nvidia GPU grant. Thanks Nvidia!
08.2019	I will be teaching a new course: Natural Language Processing in the fall semester.
08.2019	Invited to serve on the PC of AAAI 2020.
04.2019	Paper on modeling dynamic event context graphs was accepted by KDD 2019.
04.2019	Check out our tutorial on Spatio-Temporal Event Forecasting and Precursor Identification in KDD 2019.
01.2019	Invited to serve on the PC of KDD 2019, ASONAM 2019, SDM 2019.

About Me