2023 conference paper
Enhancing Graph Representations Learning with Decorrelated Propagation
Liu, H., Han, H., Jin, W., Liu, X., & Liu, H. (2023, August 6).
By: H. Liu *, H. Han *, W. Jin, X. Liu n & H. Liu
How does the Memorization of Neural Networks Impact Adversarial Robust Models?
Xu, H., Liu, X., Wang, W., Liu, Z., Jain, A. K., & Tang, J. (2023, August 6).
By: H. Xu *, X. Liu* , W. Wang *, Z. Liu *, A. Jain * & J. Tang *
Large-Scale Graph Neural Networks: The Past and New Frontiers
Xue, R., Han, H., Zhao, T., Shah, N., Tang, J., & Liu, X. (2023, August 6).
By: R. Xue n, H. Han *, T. Zhao *, N. Shah *, J. Tang * & X. Liu n
2023 journal article
Trustworthy AI: A Computational Perspective
ACM Transactions on Intelligent Systems and Technology.
By: H. Liu *, Y. Wang *, W. Fan *, X. Liu* , Y. Li *, S. Jain *, Y. Liu *, A. Jain *, J. Tang *
Imbalanced Adversarial Training with Reweighting
2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1209–1214.
By: W. Wang *, H. Xu *, X. Liu* , Y. Li *, B. Thuraisingham & J. Tang *
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