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Yan Liu

Researcher at Hunan University

Publications -  35
Citations -  395

Yan Liu is an academic researcher from Hunan University. The author has contributed to research in topics: Computer science & Scheduling (computing). The author has an hindex of 8, co-authored 28 publications receiving 244 citations. Previous affiliations of Yan Liu include Wuhan University.

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Minimizing Energy Consumption of Real-Time Parallel Applications Using Downward and Upward Approaches on Heterogeneous Systems

TL;DR: The concepts of deadline-slack and task level are introduced to transfer the deadline of the parallel application to each task, and the proposed algorithm can generate the minimum energy consumption compared with the state-of-the-art algorithms under different real-time and scale conditions.
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Fast Functional Safety Verification for Distributed Automotive Applications During Early Design Phase

TL;DR: This study presents a fast functional safety verification (FFSV) method for a distributed automotive application during the early design phase that finds the solution with the minimum response time under the reliability requirement and can obtain acceptance ratios higher than those of current methods.
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Resource Consumption Cost Minimization of Reliable Parallel Applications on Heterogeneous Embedded Systems

TL;DR: This study solves the problem of resource consumption cost minimization of a reliable parallel application on heterogeneous embedded systems without using fault tolerance by heuristically assigning each task to the processor with the minimum resource consumption costs while satisfying its reliability goal.
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Resampling ensemble model based on data distribution for imbalanced credit risk evaluation in P2P lending

TL;DR: The experimental results demonstrate that REMDD not only has good prediction performance for both majority class and minority class, but also effectively improves the comprehensive classification performance for imbalanced credit risk evaluation in P2P lending, compared with existing models.
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Minimizing Development Cost With Reliability Goal for Automotive Functional Safety During Design Phase

TL;DR: This study solves the problem of minimizing the development cost of a distributed automotive function while satisfying its reliability goal during the design phase by presenting two heuristic algorithms, reliabilitycalculation of scheme (RCS) and minimizing development cost with reliability goal (MDCRG).