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Collaborations and top research areas from the last five years
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CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events
Ning, Y. (PI)
6/15/21 → 5/31/26
Stevens Institute of Technology
Project: Research
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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
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Advances in Human Event Modeling: From Graph Neural Networks to Language Models
Deng, S., De Rijke, M. & Ning, Y., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 6459-6469 11 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
Open Access -
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 4 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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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.). Institute of Electrical and Electronics Engineers Inc., p. 980-985 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
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.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access