A study result of stochastic geometry analysis with ALPHA-stable similarity has been accepted by IEEE Trans. Commun. while a proposal for the modified LSTM structure with reduced computational complexity has been accepted by IEEE Commun. Mag. – Dr. LI Rongpeng

By - Rongpeng Li
Posted on December 28, 2018December 28, 2018
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A study result of stochastic geometry analysis with ALPHA-stable similarity has been accepted by IEEE Trans. Commun. while a proposal for the modified LSTM structure with reduced computational complexity has been accepted by IEEE Commun. Mag.

The details of these two paper could be found at http://www.rongpeng.info/files/Paper_TCOM2018_STABLE.pdf and http://www.rongpeng.info/files/Paper_RCLSTMMag.pdf

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He has been with Zhejiang University as an assistant professor since November 2018.

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A paper titled “GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing” with Dr. Li as Corresponding Author has been accepted by IEEE JSAC.