Projects per year
Fingerprint
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.
- 1 Similar Profiles
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
-
CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events
Ning, Y. (PI)
6/15/21 → 5/31/27
Stevens Institute of Technology
Project: Research
-
CRII: III: Learning Dynamic Graph-based Precursors for Event Modeling
Ning, Y. (PI)
6/1/20 → 5/31/24
Stevens Institute of Technology
Project: Research
-
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.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
-
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.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
-
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.). Springer Science and Business Media Deutschland GmbH, p. 277-293 17 p. (Communications in Computer and Information Science; vol. 2839 CCIS).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
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.Stevens Institute of Technology
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. IEEE Computer Society, p. 827-835 9 p. (IEEE International Conference on Data Mining Workshops, ICDMW).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review