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
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Dive into the research topics where Wenjun Wu 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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AerialVLA: A Vision-Language-Action Model for Aerial Navigation with Online Dialogue
Chen, J., Li, H., Tang, Z., Li, X., Wu, W. & Liu, S., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 22 ed. Association for the Advancement of Artificial Intelligence, p. 18161-18169 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 22).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A singular learning theory for unified large language model pruning
Wang, X., Fan, Z., Wu, F., Zheng, H., Hu, Y., Li, G., Yang, Z., Ye, Q., Sun, Y. & Wu, W., 1 Feb 2026, In: Neurocomputing. 664, 132044.Research output: Contribution to journal › Article › peer-review
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AsynFusion: Towards Asynchronous Latent Consistency Models for Decoupled Whole-Body Audio-Driven Avatars
Zhang, T., Zhao, J., Li, Y., Zhu, Z., Hu, P., Fan, Z., Wu, W. & Li, X., 2026, Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Proceedings. Kittler, J., Xiong, H., Lin, W., Yang, J., Chen, X., Lu, J., Yu, J. & Zheng, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 519-535 17 p. (Lecture Notes in Computer Science; vol. 16278 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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CLDAE: A Two Stage EEG-based Emotion Recognition Framework Combining Contrastive Learning and Dual-Attention Encoder
Cao, R., He, J., Liang, Y., Hu, X., Peng, T., Wu, W., Niu, S. & Mumtaz, S., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
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Corrigendum to “A singular learning theory for unified large language model pruning” [Neurocomputing 664C (2026) 132044] (Neurocomputing (2026) 664, (S092523122502716X), (10.1016/j.neucom.2025.132044))
Wang, X., Fan, Z., Wu, F., Zheng, H., Hu, Y., Li, G., Yang, Z., Qiu, Y., Sun, Y. & Wu, W., 7 Jun 2026, In: Neurocomputing. 681, 133335.Research output: Contribution to journal › Comment/debate