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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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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 → 31/05/24
Project: Research project
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DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
Han, X., Rangwala, H. & Ning, Y., 2025, In: Proceedings of Machine Learning Research. 258, p. 2332-2340 9 p.Research output: Contribution to journal › Conference article › peer-review
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Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
He, C., Zhang, W., Chen, V. X., Ning, Y. & Wang, P., 2025, Proceedings - 2025 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025. p. 176-186 11 p. (Proceedings - 2025 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
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 Access5 Scopus citations -
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Han, X., Feng, Z. & Ning, Y., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
5 Scopus citations -
MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records
Yang, E., Hu, P., Han, X. & Ning, Y., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). p. 5096-5102 7 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review