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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
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EAGER: A Domain-Informed Generative Framework for Joint Learning of Public Medical Knowledge and Individual Health Records
Ning, Y. (PI)
1/10/24 → 30/09/26
Project: Research project
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CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events
Ning, Y. (PI)
15/06/21 → 31/05/26
Project: Research project
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NSF Student Travel Grant for the 2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
Ning, Y. (PI)
15/06/22 → 31/05/24
Project: Research project
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CRII: III: Learning Dynamic Graph-based Precursors for Event Modeling
Ning, Y. (PI)
1/06/20 → 31/05/23
Project: Research project
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Advances in Human Event Modeling: From Graph Neural Networks to Language Models
Deng, S., De Rijke, M. & Ning, Y., 24 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. p. 6459-6469 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access2 Scopus citations -
Multi-Label Clinical Time-Series Generation via Conditional GAN
Lu, C., Reddy, C. K., Wang, P., Nie, D. & Ning, Y., 1 Apr 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 4, p. 1728-1740 13 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Certified Edge Unlearning for Graph Neural Networks
Wu, K., Shen, J., Ning, Y., Wang, T. & Wang, W. H., 4 Aug 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. p. 2606-2617 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
16 Scopus citations -
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
Cui, N., Wang, X., Wang, W. H., Chen, V. & Ning, Y., 2023, Proceedings - 23rd IEEE International Conference on Data Mining, ICDM 2023. Chen, G., Khan, L., Gao, X., Qiu, M., Pedrycz, W. & Wu, X. (eds.). p. 980-985 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis
Chen, J., Creamer, G. G., Ning, Y. & Ben-Zvi, T., Nov 2023, In: Sustainability (Switzerland). 15, 22, 15840.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations