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I graduated from PhD research in HKUST, Hong Kong S.A.R.
Languages: Chinese (native), English (fluent)
Research Interests:
Cooperative communications
Deep learning in wireless communications
Non-orthogonal multiple access (NOMA)
Energy harvesting communications
Programming Skills: Matlab, Python, C language, Latex
Email: ylubg@connect.ust.hk
Research Gate: https://www.researchgate.net/profile/Zoe_Lu7
Github: github.com/ylubg
Linkedin: www.linkedin.com/in/yuxin-lu-741570138/
Selected work
Selected work
Y. Lu, P. Cheng, Z. Chen, Y. Li, W. H. Mow and B. Vucetic, "Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles," IEEE Journal on Selected Areas in Communications, Nov. 2020. [Online]. Available: https://ieeexplore.ieee.org/document/9252945
Y. Lu, P. Cheng, Z. Chen, Y. Li, W. H. Mow and B. Vucetic, "Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems," IEEE Trans. Commun., vol. 68, no. 9, pp. 5471-5488, Sept. 2020
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