About Me

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.

Openings: I am looking for PhD and undergraduate students. Click here if you are interested in working with me.

Research Interests


09.2022           Two papers were accepted by ICDM 2022.
07.2022           Congratulations to Dr. Deng who successfully defended her PhD thesis!
05.2022           Songgaojun Deng received the Excellence in Graduate Research Award from Stevens!
05.2022           Chang Lu started summer internship at NEC Labs America.
05.2022           Paper on causal event analysis was accepted by KDD 2022.
12.2021           Paper on health event prediction using dynamic disease graphs was accepted by AAAI 2022.
11.2021           Paper on anti-Asian hate speech detection was accepted by ICWSM 2022.
09.2021           I am serving as student travel award co-chair for KDD 2022.
08.2021           Paper on interpretable event prediction was accepted by CIKM 2021.
06.2021           I am honored to receive an NSF CAREER award to explore deep interpretable methods for temporal event modeling. Thanks NSF!
05.2021           PhD student Songgaojun Deng received Excellence Doctoral Fellowship. Congratulations Songgaojun!
04.2021           Paper on collaborative graph learning for health event prediction was accepted by IJCAI 2021.
02.2021           Check out our toturial on Explainable AI for Societal Event Predictions in AAAI 2021.
02.2021           Paper on fake news detection was accepted by PAKDD 2021.
01.2021           I will serve 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.


Mailing Address

1 Castle Point Terrace,
Hoboken, NJ 07030,


Gateway South 448

Email Addresses

yue.ning AT stevens.edu