Mr Xueyi Wang

Wakeham, C. et al. 2026. Using secure WhatsApp-based digital recruitment as an intervention in prostate cancer research with black men. Frontiers in Digital Health 8 1786070. (10.3389/fdgth.2026.1786070)
Wang, X. , Li, S. and Liu, Y. 2026. Poster: SHAP-RM : An XAI framework for evaluating machine learning reliability. Presented at: 22nd EAI International Conference, SecureComm 2026 Lancaster, UK 21-24 July 2026. Published in: Cao, Y. , Luo, B. and Meng, W. eds. Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Cham, Switzerland: Springer. , pp.499-503. (10.1007/978-3-032-32767-3_23)

Wang, X. , Li, S. and Iqbal, M. 2025. Artificial intelligence enabled microgrid power generation prediction. Open Computer Science 15 (1) 20240010. (10.1515/comp-2024-0010)
Wang, X. , Li, S. and Burnap, P. 2025. SHAP-RM : An XAI framework for evaluating machine learning reliability. Presented at: The 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2025) Gold Coast, Australia 19-22 October, 2025.

Wang, X. , Liu, Y. and Li, S. 2023. Deep learning enabled keystroke eavesdropping attack over videoconferencing platforms. Presented at: IEEE INFOCOM 2023 New York, USA 20 May 2023. IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops. INFOCOM WKSHPS Hoboken, NJ: IEEE. , pp.1-2. (10.1109/INFOCOMWKSHPS57453.2023.10225861)

Wang, X. , Li, S. and Liu, Y. 2026. Poster: SHAP-RM : An XAI framework for evaluating machine learning reliability. Presented at: 22nd EAI International Conference, SecureComm 2026 Lancaster, UK 21-24 July 2026. Published in: Cao, Y. , Luo, B. and Meng, W. eds. Security and Privacy in Communication Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Cham, Switzerland: Springer. , pp.499-503. (10.1007/978-3-032-32767-3_23)
Wang, X. , Li, S. and Burnap, P. 2025. SHAP-RM : An XAI framework for evaluating machine learning reliability. Presented at: The 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2025) Gold Coast, Australia 19-22 October, 2025.
Wang, X. , Liu, Y. and Li, S. 2023. Deep learning enabled keystroke eavesdropping attack over videoconferencing platforms. Presented at: IEEE INFOCOM 2023 New York, USA 20 May 2023. IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops. INFOCOM WKSHPS Hoboken, NJ: IEEE. , pp.1-2. (10.1109/INFOCOMWKSHPS57453.2023.10225861)

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