Projects per year
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Dive into the research topics where Yue Ning is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events
6/15/21 → 5/31/26
Stevens Institute of Technology
Project: Research project
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EAGER: A Domain-Informed Generative Framework for Joint Learning of Public Medical Knowledge and Individual Health Records
Ning, Y. (PI)
10/1/24 → 9/30/26
Stevens Institute of Technology
Project: Research project
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CRII: III: Learning Dynamic Graph-based Precursors for Event Modeling
6/1/20 → 5/31/23
Stevens Institute of Technology
Project: Research project
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Multi-Label Clinical Time-Series Generation via Conditional GAN
Lu, C., Reddy, C. K., Wang, P., Nie, D. & Ning, Y., Apr 1 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 4, p. 1728-1740 13 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Certified Edge Unlearning for Graph Neural Networks
Wu, K., Shen, J., Ning, Y., Wang, T. & Wang, W. H., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2606-2617 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction
Lu, C., Reddy, C. K. & Ning, Y., Apr 1 2023, In: IEEE Transactions on Cybernetics. 53, 4, p. 2124-2136 13 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Algorithmic fairness in computational medicine
Xu, J., Xiao, Y., Wang, W. H., Ning, Y., Shenkman, E. A., Bian, J. & Wang, F., Oct 2022, In: EBioMedicine. 84, 104250.Stevens Institute of Technology
Research output: Contribution to journal › Review article › peer-review
Open Access -
Causality Enhanced Societal Event Forecasting with Heterogeneous Graph Learning
Deng, S., Rangwala, H. & Ning, Y., 2022, Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 91-100 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2022-November).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review