Grants per year
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Dive into the research topics where Yanjie Fu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Grants
- 1 Finished
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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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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
45 Link opens in a new tab Scopus citations -
Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer
Zhang, J., Mo, F., Weerasooriya, T. C., Ye, X., Wang, D., Fu, Y. & Liu, K., 2026, 19th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2026. Association for Computational Linguistics (ACL), p. 3691-3707 17 p. (19th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
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
Press/Media
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Researchers from Arizona State University Report Recent Findings in Big Data (Incremental Causal Graph Learning for Online Cyberattack Detection In Cyber-physical Infrastructures)
6/9/26
1 item of Media coverage
Press/Media: Press / Media
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Data on Big Data Reported by Researchers at Arizona State University (Knockoff-guided Feature Selection Via a Single Pre-trained Reinforced Agent)
4/15/26
1 item of Media coverage
Press/Media: Press / Media
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Debunking data myths: Personal privacy in the era of AI and wearable devices
1/2/25
1 item of Media coverage
Press/Media: Press / Media
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Debunking data myths: Personal privacy in the era of AI and wearable devices
9/20/24
1 item of Media coverage
Press/Media: Press / Media
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Debunking data myths: Personal privacy in the era of AI and wearable devices
9/1/24
1 item of Media coverage
Press/Media: Press / Media