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Extract and refine brain subgraph for disorder analysis via cross-domain learning
Luo, X., Wu, J., Zhang, S., Dong, G., Xue, S., Peng, H., Yang, J., Zhou, C., Hu, W. & Beheshti, A., 27 Feb 2026, (E-pub ahead of print) In: IEEE Transactions on Big Data.Research output: Contribution to journal › Article › peer-review
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An interpretable brain graph contrastive learning framework for brain disorder analysis
Luo, X., Dong, G., Wu, J., Beheshti, A., Yang, J. & Xue, S., 2024, WSDM '24: proceedings of the 17th ACM International Conference on Web Search and Data Mining. New York: Association for Computing Machinery, p. 1074-1077 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Counterfactual brain graph augmentation guided bi-level contrastive learning for disorder analysis
Dong, G., Luo, X., Du, J., Wu, J., Xue, S., Yang, J. & Beheshti, A., 2024, ICDM 2024: 24th IEEE International Conference on Data Mining: proceedings. Baralis, E., Zhang, K., Damiani, E., Debbah, M., Kalnis, P. & Wu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 91-100 10 p. (Proceedings - IEEE International Conference on Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Distributionally-adaptive variational meta learning for brain graph classification
Du, J., Dong, G., Ma, C., Xue, S., Wu, J., Yang, J., Beheshti, A., Sheng, Q. Z. & Giral, A., 2024, Medical Image Computing And Computer Assisted Intervention: Miccai 2024: 27th International Conference: proceedings, part X. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Switzerland: Springer, Springer Nature, p. 229-239 11 p. (Lecture Notes In Computer Science; vol. 15010).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review