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Collaborations and top research areas from the last five years
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A Comprehensive Survey on Data Augmentation
Wang, Z., Wang, P., Liu, K., Wang, P., Fu, Y., Lu, C. T., Aggarwal, C. C., Pei, J. & Zhou, Y., 2026, In: IEEE Transactions on Knowledge and Data Engineering. 38, 1, p. 47-66 20 p.Research output: Contribution to journal › Article › peer-review
23 Link opens in a new tab Scopus citations -
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage
Bai, H., Chen, G., Ying, W., Wang, X., Gong, N., Dong, S., Pedrielli, G., Wang, H., Chen, H. & Fu, Y., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 17 ed. Association for the Advancement of Artificial Intelligence, p. 14459-14466 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 17).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
Zheng, R., Li, M., Zhang, X., Shi, H., Fu, Y., Yuan, Y. & Yu, D., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 34 ed. Association for the Advancement of Artificial Intelligence, p. 28839-28847 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 34).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
Wang, X., Wang, D., Ying, W., Bai, H., Gong, N., Dong, S., Liu, K. & Fu, Y., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 40 ed. Association for the Advancement of Artificial Intelligence, p. 33692-33700 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 40).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Generative AI for spatial regeneration planning: Integrating urban planning theories and ethics
Wang, Y., Fu, Y. & Lyles, W., Mar 2026, In: Computers, Environment and Urban Systems. 124, 102380.Research output: Contribution to journal › Review article › peer-review
1 Link opens in a new tab Scopus citations
Projects
- 4 Finished
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Collaborative Research: SHF: Small: Decentralized Edge Computing Platform for Privacy-Preserving Mobile Crowdsensing
Fu, Y. (PI)
National Science Foundation (NSF)
5/1/24 → 7/31/25
Project: Research project
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Deep Generative Feature Transformation for Materials Informatics: A Data-centric AI Perspective
Fu, Y. (PI)
National Academy of Engineering (NAE)
4/1/24 → 5/31/26
Project: Research project
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CAREER: Reinforced Imitative Graph Learning: Bridging the Gap between Perception and Prescription in Graph Sequences
Fu, Y. (PI)
National Science Foundation (NSF)
11/15/23 → 4/30/26
Project: Research project
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III: Small: Deep Interactive Reinforcement Learning for Self-optimizing Feature Selection
Fu, Y. (PI)
National Science Foundation (NSF)
10/1/23 → 8/31/25
Project: Research project