彭岳星
Associate professor
Supervisor of Master's Candidates
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[21].Y. Zhang, H. Long, Y. Peng, K. Zheng, W. Wang, User-oriented energy- and spectral-efficiency tradeoff for wireless networks, KSII Transactions on Internet and Information Systems, vol.7, no.2, pp 216-233, 2013/2/26.
[22].Yuexing Peng, Yonghui Li, Lei Shu, Wenbo Wang, An energy-efficient clustered distributed coding for large-scale wireless sensor networks, Journal of Supercomputing, vol.66, no.6, pp 649-669, 2013/11/1..[J]:Journal of Supercomputing,66:649–669
[23].Yueying Zhang, Fei Liu, Yuexing Peng, Hang Long, Wenbo Wang, Fundamental tradeoffs for ubiquitous wireless service: A QoE, energy and spectral perspective, Lecture Notes in Electrical Engineering, 203 LNEE(12), pp 971-979, 2012/12.
[24].Xiangyu Lu, Yuyan Zhang; Yuexing Peng, Hui Zhao, Wenbo Wang, A real-time two-way authentication method based on instantaneous channel state information for wireless communication systems, J. of Commun., vol. 6, no.6, pp 471-476, 2011.
[25].Yuexing Peng, Zhao Hui, Wang Wenbo, Inter-carrier Interference Analysis and Mitigation for OFDM System over Fast Fading Channels, Chinese J. Electronics, vol.19, no.1, pp 181-186, 2010/1.
[26].Yuexing Peng, Zhao, Hui; Wang, Wenbo; Kim, Young Il, Cooperative network coding with soft information relaying in two-way relay channels, J. Commun., vol.4, no.11, pp 849-855, 2009.
[27].Yuexing Peng, Muzi Wu, Hui Zhao, Wenbo Wang, Bit error probability of distributed Turbo coded relay systems over quansi-static Rayleigh fading channels, Journal of China university of posts and telecommunications, 17(2), pp. 41-45, 2010
[28].Jianing Guo, Yuexing Peng, Qinguo Zhou, Wei Xiang, An Enhanced LSTM Model for Short-Term Load Forecasting in Smart Grids, chapter of the Book “Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications”, ISBN: 978-3-030-48512-2, May, 2020.
[29].Lingling Tang, Yulin Yi, Yuexing Peng, An ensemble deep learning model for short-term load forecasting based on ARIMA and LSTM, in Proc. SmartGridComm 2019, Beijing, China, 21-23 Oct. 2019.
[30].L. Han, Y. Peng, X. Gao, B. Zhao, An ensemble learning-based short-term load forecasting for small datasets, in Proc. CSPS 2017, Haerbing, China, 2017.
total61 3/7
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