Hui Wang

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63 Conference contribution
20 Article
5 Conference article
3 Chapter
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- 2 Review article

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
Chen, J., Li, J., Song, C., Li, B., Chen, Q., Gao, H., Wang, W. H., Xu, Z. & Shi, X., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 11338-11345 8 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
1 Scopus citations
Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution
Zhong, D., Wang, X., Xu, Z., Xu, J. & Wang, W. H., 21 Oct 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. p. 3433-3442 10 p. (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Revisiting Black-box Ownership Verification for Graph Neural Networks
Zhou, R., Yang, K., Wang, X., Wang, W. H. & Xu, J., 2024, Proceedings - 45th IEEE Symposium on Security and Privacy, SP 2024. p. 2478-2496 19 p. (Proceedings - IEEE Symposium on Security and Privacy).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Certified Edge Unlearning for Graph Neural Networks
Wu, K., Shen, J., Ning, Y., Wang, T. & Wang, W. H., 4 Aug 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. p. 2606-2617 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
16 Scopus citations
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
Cui, N., Wang, X., Wang, W. H., Chen, V. & Ning, Y., 2023, Proceedings - 23rd IEEE International Conference on Data Mining, ICDM 2023. Chen, G., Khan, L., Gao, X., Qiu, M., Pedrycz, W. & Wu, X. (eds.). p. 980-985 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
1 Scopus citations

Hui Wang

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Collaborations and top research areas from the last five years

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Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution

Revisiting Black-box Ownership Verification for Graph Neural Networks

Certified Edge Unlearning for Graph Neural Networks

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

Hui Wang

Fingerprint

Collaborations and top research areas from the last five years

Research output

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution

Revisiting Black-box Ownership Verification for Graph Neural Networks

Certified Edge Unlearning for Graph Neural Networks

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness