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Collaborations and top research areas from the last five years
Grants & Projects
- 13 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 CAT: Enhancement Of Exacerbaation Prediction In Major Respiratory Conditions
Gao, J. (PI)
Health Care Originals Incorporated
07/1/19 → 06/30/20
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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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
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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 -
Towards Universal Debiasing for Language Models-based Tabular Data Generation
Li, T., Liu, T., Wang, X., Wei, R., Li, P., Su, L. & Gao, J., 2025, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Association for Computational Linguistics (ACL), p. 23496-23512 17 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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UNLOCKING EFFICIENT, SCALABLE, AND CONTINUAL KNOWLEDGE EDITING WITH BASIS-LEVEL REPRESENTATION FINE-TUNING
Liu, T., Li, R., Qi, Y., Liu, H., Tang, X., Zheng, T., Yin, Q., Cheng, M., Huan, J., Wang, H. & Gao, J., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 68060-68080 21 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations