selected publications academicarticle Liu, H., Wang, B., Wang, J., Dong, X., Yang, T., & Caverlee, J. (2024). Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. abs/2308.15614, 485-488. Yang, T., & Ying, Y. (2023). AUC Maximization in the Era of Big Data and AI: A Survey. ACM Computing Surveys. 55(8), 1-37. Yang, T., Zhang, L., Lin, Q., Zhu, S., & Jin, R. (2020). High-dimensional model recovery from random sketched data by exploring intrinsic sparsity. Machine Learning. 109(5), 899-938. Yan, Y., Yang, T., Yang, Y. i., & Chen, J. A Framework of Online Learning with Imbalanced Streaming Data. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence. 31(1),
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