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 Kaixuan 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
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Interpretable dual-layer state space net for capturing fine-grained temporal features in EEG-based motor imagery BCIs
Wang, K., Xu, C., Jiang, W., Ding, S., Liu, Q., Ma, L. & Li, H., 1 Jul 2026, In: Biomedical Signal Processing and Control. 120, 109826.Research output: Contribution to journal › Article › peer-review
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DGAT: a dynamic graph attention neural network framework for EEG emotion recognition
Ding, S., Wang, K., Jiang, W., Xu, C., Bo, H., Ma, L. & Li, H., 2025, In: Frontiers in Psychiatry. 16, 1633860.Research output: Contribution to journal › Article › peer-review
Open Access7 Link opens in a new tab Scopus citations -
Dynamic-Attention-Based EEG State Transition Modeling for Emotion Recognition
Shen, X., Gan, R., Wang, K., Yang, S., Zhang, Q., Liu, Q., Zhang, D. & Song, S., 2025, In: IEEE Transactions on Affective Computing. 16, 4, p. 3552-3568 17 p.Research output: Contribution to journal › Article › peer-review
5 Link opens in a new tab Scopus citations -
Kanformer：A Kan-Transformer-based method for motor imagery EEG recognition
Bai, D., Li, R., Yuan, Q., Zhang, Y., Tang, H., Zhao, H., Zhang, Q. & Wang, K., 2025, Fifth International Conference on Digital Signal and Computer Communications, DSCC 2025. Jovanovic-Dolecek, G. & Du, K.-L. (eds.). SPIE, 136531R. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13653).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
Liu, Q., Xu, C., Jiang, W., Wang, K., Ma, L. & Li, H., 2025, In: Proceedings of Machine Learning Research. 267, p. 39929-39946 18 p.Research output: Contribution to journal › Conference article › peer-review
1 Link opens in a new tab Scopus citations