Publications

For the most up-to-date list of publications, please visit my Google Scholar profile.

Journal

[J3] H. Jebamikyous, M. Li, Y. Suhas, and R. Kashef, “Leveraging machine learning and blockchain in e-commerce and beyond: Benefits, models, and application,” Discover Artificial Intelligence, vol. 3, no. 1, Jan. 2023. <paper> <pdf>

[J2] M. Li, R. Kashef, and A. Ibrahim, “Multi-level clustering-based outlier’s detection (MCOD) using self-organizing maps,” Big Data and Cognitive Computing, vol. 4, no. 4, p. 24, Sep. 2020. <paper>

[J1] A. Ibrahim, R. Kashef, M. Li, E. Valencia, and E. Huang, “Bitcoin Network Mechanics: Forecasting the BTC closing price using vector auto-regression models based on endogenous and exogenous feature variables,” Journal of Risk and Financial Management, vol. 13, no. 9, p. 189, Aug. 2020. <paper>

Conference

[C6] M. Li and X.-P. Zhang, “Interpretable temporal class activation representation for audio spoofing  detection,” Interspeech 2024, pp. 1120–1124, Sep. 2024. <paper> <pdf>

[C5] M. Li and X.-P. Zhang, “Robust audio anti-spoofing system based on low-frequency sub-band information,” 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 1–5, Oct. 2023. <paper> <pdf>

[C4] M. Li, Y. Ahmadiadli, and X.-P. Zhang, “Robust deepfake audio detection via bi-level optimization,” 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), pp. 1–6, Sep. 2023. <paper> <pdf>

[C3] M. Li, Y. Ahmadiadli, and X.-P. Zhang, “A comparative study on physical and perceptual features for Deepfake Audio Detection,” Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia, Oct. 2022. <paper> <pdf>

[C2] M. Li, M. Amirizaniani, and R. Kashef, “Efficient comorbidity analysis in brain disorders reveals better diagnosis,” 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), pp. 1237–1244, Dec. 2021. <paper> <pdf>

[C1] M. Li, E. Achiluzzi, M. F. Al Georgy, and R. Kashef, “Malicious network traffic detection in IOT environments using a multi-level neural network,” 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), vol. 113, pp. 169–175, Oct. 2021. <paper> <pdf>

Preprints

[P2] M. Li, Y. Ahmadiadli, and X.-P. Zhang, “Audio Anti-Spoofing Detection: A Survey,” 2024. <arXiv>

[P1] E. Achiluzzi, M. Li, M. F. A. Georgy, and R. Kashef, “Exploring the use of data-driven approaches for anomaly detection in the internet of things (IOT) environment,” 2022. <arXiv>