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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 → 30/09/27
Project: Research project
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CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events
Ning, Y. (PI)
15/06/21 → 31/05/27
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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AGFormer: Adaptive Spatiotemporal graph informed transformer for multi-reservoir inflow forecasting
Fan, M., Hu, P., Han, X., Zhang, W., Kang, H., Ning, Y. & Lu, D., Apr 2026, In: Environmental Modelling and Software. 199, 106938.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning
Hu, P., Lu, C., Wang, F. & Ning, Y., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
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Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters
Cui, N., Wang, W. H. & Ning, Y., 2026, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2025, Revised Selected Papers. Koprinska, I., Mendes-Moreira, J. & Branco, P. (eds.). p. 277-293 17 p. (Communications in Computer and Information Science; vol. 2839 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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PANTHER Challenge Report: Cross-Domain Pancreatic Tumor Segmentation in Magnetic Resonance Imaging
Betancourt Tarifa, A. S., Verheij, M., Monshouwer, R., Heerkens, H. D., Mahmood, F., Bernchou, U., Karlsson, E. H., Durugöl, Ö. F., Rokuss, M., Kirchhoff, Y., Hémon, C., Boussot, V., Nunes, J. C., Dillenseger, J. L., Bian, C., Zhang, L., Ning, Y., Huang, C., Wang, L. & Kolpetinou, K. & 4 others, , Sep 2026, In: Medical Image Analysis. 113, 104186.Research output: Contribution to journal › Short survey › peer-review
Open Access -
Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
Hu, P., Fan, M., Han, X., Lu, C., Zhang, W., Kang, H., Ning, Y. & Lu, D., 2025, Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025. p. 827-835 9 p. (IEEE International Conference on Data Mining Workshops, ICDMW).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review