About Me
I am an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology.
I am also affiliated with
Stevens Institute for Artificial Intelligence (SIAI),
Center for Research Toward Advancing Financial Technologies (CRAFT), and Semcer Center for Healthcare Innovation (CHI).
My research interests are machine learning, graph mining, and data analytics 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. Our research is sponsored by National Science Foundation, Nvidia, and Stevens.
I received my Ph.D. from the Department of Computer Science of Virginia Tech under Dr. Naren Ramakrishnan.
Research Interests
- Machine Learning and Deep Learning
- Data Science
- Socially Responsible AI
News
| 02.2024 | Congratulations to Chang on successfully defending his PhD thesis! |
| 11.2023 | Invited talk at Case Western Reserve University. |
| 09.2023 | Paper on contrastive learning for ICD coding was accepted by NeurIPS 2023. |
| 09.2023 | Paper on fair federated graph neural networks was accepted by ICDM 2023. |
| 08.2023 | Paper on time series generation was accepted by TKDE. |
| 05.2023 | Paper on graph unlearning was accepted by KDD 2023. |
| 05.2023 | Received Early Career Award for Research Excellence from Stevens. |
| 03.2023 | Stevens media published a nice article on my research. |
| 02.2023 | Invited talk at ADP Data Science and Machine Learning. |
| 12.2022 | Invited keynote talk at MLoG workshop at ICDM'22. |
| 10.2022 | Paper on news-enhanced pandemic forecasting was accepted by IEEE BigData 2022. |
| 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 | Invited talk at the Computer Science department, NJIT. |
| 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. |
Professional Service
- Organizing Committee
- Local Arrangement Chair: IEEE INFOCOM 2023
- Student Travel Award Co-chair: KDD 2022
- Area Chair: KDD 2024
- Session Chair
- SDM 2021
- KDD 2020
- Senior PC: IJCAI 2021
- Program Committee: KDD 2019-2023
- Program Committee: AAAI 2020-2024
- Program Committee: ICLR 2021, 2023, 2024
- Program Committee: ICML 2020-2023
- Program Committee: NeurIPS 2021-2023
- Program Committee: IJCAI 2021-2023
- Program Committee: CVPR 2023
- Program Committee: The Web Conf (previously WWW) 2021-2023
- Program Committee: CIKM short paper track 2022
- Program Committee: PAKDD 2020-2022
- Program Committee: SDM 2019-2024
- Program Committee: IEEE BigData 2020-2023
- Program Committee: ICMLA 2019
- Program Committee: ASONAM 2018-2022
- Reviewer: Sensors, published by MDPI
- Reviewer: Nature Communications
- Reviewer: Pattern Recognition
- Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE)
- Reviewer: ACM Transactions on Knowledge Discovery from Data (TKDD)
- Reviewer: IEEE/ACM Transactions on Computational Biology and Bioinformatics
- Reviewer: Social Network Analysis and Mining (SNAM)
- Reviewer: IEEE Transactions on Intelligent Transportation Systems (T-ITS)
- Reviewer: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
- Reviewer: IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- Guest Editor: Frontiers in Big Data
Contact
Mailing Address
1 Castle Point Terrace,
Hoboken, NJ 07030,
USA
Office
Gateway South 448
yue.ning@stevens.edu