Yongkun Li

Publications51
h-index11
Citations338
Highly Influential Citations22
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Anti-periodic solutions to impulsive shunting inhibitory cellular neural networks with distributed delays on time scales
Abstract By using the method of coincidence degree and constructing suitable Lyapunov functional, several sufficient conditions are established for the existence and global exponential stability of… Expand
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A novel fast vector method for genetic sequence comparison
TLDR
We propose a novel multiple encoding vector based on only primary sequences of organism to build their phylogeny. Expand
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Storm Water Management and Flood Control in Sponge City Construction of Beijing
To solve the problems of increasing local flooding, water shortage, and water pollution caused by the traditional model of urban development, the Chinese government proposed a new model of urban… Expand
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Workload-Aware Elastic Striping With Hot Data Identification for SSD RAID Arrays
TLDR
Redundant array of independent disk (RAID) offers a good option to provide device-level fault tolerance for solid-state drives (SSDs). Expand
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Existence and Exponential Stability of Anti-periodic Solutions of High-order Hopfield Neural Networks with Delays on Time Scales
AbstractOn time scales, a class of delayed high-order Hopfield neural networks are considered. We establish some sufficient conditions on the existence and exponential stability of anti-periodic… Expand
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Square-mean almost periodic solutions for impulsive stochastic shunting inhibitory cellular neural networks with delays
TLDR
In this paper, we consider a class of impulsive stochastic shunting inhibitory cellular neural networks with delays. Expand
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Pseudo almost automorphic solutions of quaternion-valued neural networks with infinitely distributed delays via a non-decomposing method
In this paper, we consider the existence and global exponential stability of pseudo almost automorphic solutions to quaternion-valued cellular neural networks with infinitely distributed delays.… Expand
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Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness
TLDR
We propose a common neighbor aware random walk framework called CNARW, which leverages weighted walking by differentiating the next-hop candidate nodes to speed up the convergence. Expand
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FlameDB: A Key-Value Store With Grouped Level Structure and Heterogeneous Bloom Filter
TLDR
We propose FlameDB, which leverages grouped level structure (GLS) to mitigate the compaction overhead. Expand
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Sp-Almost Periodic Solutions of Clifford-Valued Fuzzy Cellular Neural Networks with Time-Varying Delays
TLDR
In this paper, we consider Clifford-valued fuzzy cellular neural networks with time-varying delays. Expand
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