Grants & Projects per year
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Dive into the research topics where Jing Gao 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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Grants & Projects
- 12 Finished
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III: Medium: Collaborative Research: Mining and Leveraging Knowledge Hypercubes for Complex Applications
Gao, J. (PI)
10/1/20 → 12/31/20
Project: Research
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UB Center for Advanced Technology in Big Data and Health Sciences
Nowak, N. (PI), Dunbar, J. (CoPI), Arany, P. (CoI), Bankert, R. (CoI), Buck, M. (CoI), Davidson, B. (CoI), Ehrensberger, M. (CoI), Gao, J. (CoI), Kolega, J. (CoI), Lovell, J. (CoI), Murphy, T. (CoI), Qu, J. (CoI), Rasmusson, R. (CoI), Sajjad, M. (CoI), Titus, A. (CoI), Wang, J. (CoI), Weil, B. (CoI), Wu, Y. (CoI) & Yao, R. (CoI)
NYS Department of Economic Development
07/1/19 → 06/30/20
Project: Research
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UB CAT: Enhancement Of Exacerbation Prediction In Major Respiratory Conditions
Gao, J. (PI)
11/1/18 → 06/30/19
Project: Other
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UB Center for Advanced Technology in Big Data and Health Sciences
Nowak, N. (PI), Dunbar, J. (CoPI), Balu-Iyer, S. (CoI), Barnabei, V. (CoI), Buck, M. (CoI), Buslovich, S. (CoI), Ehrensberger, M. (CoI), Gao, J. (CoI), Mammen, M. (CoI), Meng, H. (CoI), Suresh, L. (CoI), Swihart, M. (CoI), Titus, A. (CoI), Wang, J. (CoI), Weil, B. (CoI), Wu, Y. (CoI), Yergeau, D. (CoI) & Wang, J. (CoI)
NYS Department of Economic Development
07/1/18 → 06/30/19
Project: Research
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EAGER: Medical Knowledge Graph Construction from Heterogeneous Sources
11/15/17 → 06/30/24
Project: Research
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SWIFT: Spectral Wavelet Integrated Fault Transformer for Wind Turbine Anomaly Detection
Yin, D. S. & Gao, J., 2026, In: IEEE Access. 14, p. 111731-111740 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
Wang, X., Wu, F., Miao, C., Li, T., Hu, H., Cao, Q., Gao, J. & Su, L., Apr 20 2026, KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. Association for Computing Machinery , p. 1483-1493 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1-A).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access2 Scopus citations -
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editin
Liu, T., Li, R., Dong, Z., Liu, H., Tang, X., Yin, Q., Zhang, L., Wang, H. & Gao, J., 2025, In: Proceedings of Machine Learning Research. 267, p. 38744-38766 23 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models
Wang, H., Liu, T., Ma, F. & Gao, J., 2025, Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025. IEEE Computer Society, p. 2477-2482 6 p. (IEEE International Conference on Data Mining Workshops, ICDMW).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TOWARDS FEDERATED RLHF WITH AGGREGATED CLIENT PREFERENCE FOR LLMS
Wu, F., Liu, X., Wang, H., Wang, X., Su, L. & Gao, J., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 59063-59086 24 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations