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Dezhong Yao
Researcher at Huazhong University of Science and Technology
Publications - 35
Citations - 369
Dezhong Yao is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Computer science & Efficient energy use. The author has an hindex of 9, co-authored 26 publications receiving 249 citations. Previous affiliations of Dezhong Yao include Nanyang Technological University & Carnegie Mellon University.
Papers
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Journal ArticleDOI
Modeling User Activity Patterns for Next-Place Prediction
TL;DR: This paper first infer the individual's next activity by modeling user activity patterns, and then, it is demonstrated that the proposed approach can realize the smooth upgrade of the prediction performance and perform robustly.
Journal ArticleDOI
Using Crowdsourcing to Provide QoS for Mobile Cloud Computing
TL;DR: A crowdsourcing-based QoS supported mobile cloud service framework that fulfills mobile users’ satisfaction by sensing their context information and providing appropriate services to each of the users.
Journal ArticleDOI
An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks
TL;DR: This paper designs a reinforcement learning based mechanism to perform QoS and energy balanced routing according to the knowledge of reliability and delay in WMSN, and shows that the energy consumption is reduced while ensuring QoS compared with the traditional cooperative protocol and the distributed adaptive cooperative routing protocol.
Book ChapterDOI
Energy Efficient Task Scheduling in Mobile Cloud Computing
TL;DR: An energy efficient task scheduling strategy EETS is presented to determine what kind of task with certain amount of data should be chosen to be offloaded under different environment and can achieve 99% of accuracy to choose the right action in order to minimize the system energy usage.
Journal ArticleDOI
Probabilistic routing algorithm based on contact duration and message redundancy in delay tolerant network
TL;DR: Simulated results showed that the proposed routing algorithm can achieve a higher efficiency of message delivery than the related existing routing algorithms and it can also reduce the communication overhead significantly in general DTNs.