Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Xiao Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Multiview Difference Feature Perception Network for Change Detection in Bi-Temporal Remote Sensing Images
Dang, L., Li, S., Wang, X. & Li, S., 2026, In: IEEE Transactions on Geoscience and Remote Sensing. 64, 4700818.Research output: Contribution to journal › Article › peer-review
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Invariant Conditional Molecular Generation Under Distribution Shift
Hu, C., Liao, T., Sui, Y., Zhang, R., Wang, X. & Zhang, Z., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence. 40, 26, p. 21823-21830 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation
Wang, X., Li, Y., Xing, Y., Fan, S. & Shi, C., 2025, In: IEEE Transactions on Knowledge and Data Engineering. 37, 10, p. 5781-5794 14 p.Research output: Contribution to journal › Article › peer-review
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Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
Zhang, Z., Wang, X., Zhou, H., Yu, Y., Zhang, M., Yang, C. & Shi, C., 20 Jul 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery , p. 2008-2019 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access5 Link opens in a new tab Scopus citations -
CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks
Zhu, P., Li, J., Dong, Z., Hu, Q., Wang, X. & Wang, Q., 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 4, p. 6395-6406 12 p.Research output: Contribution to journal › Article › peer-review
5 Link opens in a new tab Scopus citations