Works (5)

Updated: August 5th, 2023 05:07

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

Source: ORCID
Added: August 5, 2023

2023 conference paper

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).

Source: ORCID
Added: August 5, 2023

2023 conference paper

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).

Source: ORCID
Added: August 5, 2023

2023 journal article

Trustworthy AI: A Computational Perspective

ACM Transactions on Intelligent Systems and Technology.

Source: ORCID
Added: April 3, 2023

2022 article

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*

author keywords: model robustness; imbalanced data; adversarial training; reweighting
Sources: Web Of Science, ORCID
Added: May 22, 2023