M
Ming Liu
Researcher at University of Electronic Science and Technology of China
Publications - 126
Citations - 2608
Ming Liu is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 20, co-authored 118 publications receiving 1906 citations. Previous affiliations of Ming Liu include Hong Kong Polytechnic University.
Papers
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Journal ArticleDOI
Neural Speech Synthesis with Transformer Network.
TL;DR: Transformer TTS as discussed by the authors introduces a multi-head self-attention mechanism to replace the RNN structures and also the original attention mechanism in Tacotron2 to solve the long-range dependency problem.
Journal ArticleDOI
An energy-aware routing protocol in wireless sensor networks
TL;DR: A novel energy-aware routing protocol (EAP) for a long-lived sensor network that achieves a good performance in terms of lifetime by minimizing energy consumption for in-network communications and balancing the energy load among all the nodes.
Posted Content
Neural Speech Synthesis with Transformer Network
TL;DR: This paper introduces and adapt the multi-head attention mechanism to replace the RNN structures and also the original attention mechanism in Tacotron2, and achieves state-of-the-art performance and close to human quality.
Journal ArticleDOI
Maximizing network lifetime based on transmission range adjustment in wireless sensor networks
TL;DR: An improved corona model with levels for analyzing sensors with adjustable transmission ranges in a WSN with circular multi-hop deployment (modeled as concentric coronas) and it is proved that searching optimal transmission ranges of sensors among all coronas is a multi-objective optimization problem (MOP), which is NP hard.
Proceedings ArticleDOI
PVA in VANETs: Stopped cars are not silent
TL;DR: The results prove that even a small proportion of PVA vehicles could overcome sparse or unbalanced traffic, and promote network connectivity greatly, and paves the way for new hybrid networks with static and mobile nodes.