Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.
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Ding, Shuai, Kuang, Liqun, Li, Qingde, Cheng, Yongqiang, Han, Huiyan and Cao, Yaming (2024) Multi-Feature Enhancement and Adaptation for Lightweight Human Behavior Recognition. In: The 29th International Conference on Automation and Computing (ICAC2024). IEEE, pp. 1-6. ISBN 979-8-3503-6088-2
Ding, Xintao, Luo, Yonglong, Jie, Biao, Li, Qingde and Cheng, Yongqiang (2024) Using outlier elimination to assess learning-based correspondence matching methods. Information Sciences, 659. ISSN 0020-0255
Cheng, Yongqiang, Ding, Xintao, Luo, Yonglong, Li, Qingde and Gope, Prosanta (2022) Consensus Adversarial Defense Method Based on Augmented Examples. Transactions on Industrial Informatics. pp. 984-994. ISSN 1941-0050