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 7 Affordable and Clean Energy -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Xiaoling 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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EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
Li, Y., Fu, Y., Qian, T., Xu, Q., Dai, S., Paudel, D. P., Gool, L. V. & Wang, X., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence. 40, 8, p. 6592-6600 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
GCFA: Generative class feature fusion with agent attention for medical text classification
Wang, Y., Wang, Q., Yu, H., Xie, J., Hu, F., Wang, X. & Lei, D., Feb 2026, In: Information Fusion. 126, 103639.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations -
Guiding LLMs to decode text via aligning semantics in EEG signals and language
Zheng, H., Wu, Y., Qian, T., Yue, W. & Wang, X., 1 Mar 2026, In: Expert Systems with Applications. 299Research output: Contribution to journal › Article › peer-review
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Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks
Yi, X., Li, Y., Shi, D., Wang, L., Wang, X. & He, L., 15 Jan 2026, In: Expert Systems with Applications. 296, 129101.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
LE2C: LLM-Enhanced Event Evolutionary Graph for Explainable Classification
Liang, J., Wu, S., Wang, X. & Niu, J., 2026, Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Proceedings. Li, J., Zong, C., Chbeir, R., Li, L., Zhang, Y. & Zhang, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 357-372 16 p. (Lecture Notes in Computer Science; vol. 16115 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review