Y
Yong Xu
Researcher at Nanjing Forestry University
Publications - 1637
Citations - 54071
Yong Xu is an academic researcher from Nanjing Forestry University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 88, co-authored 1391 publications receiving 39268 citations. Previous affiliations of Yong Xu include Peking University & Northwestern Polytechnical University.
Papers
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Existence and stability of solutions to non-Lipschitz stochastic differential equations driven by Lévy noise
Yong Xu,Bin Pei,Guobin Guo +2 more
TL;DR: In this paper, successive approximation method is applied to investigate the existence and uniqueness of solutions to stochastic differential equations (SDEs) driven by Levy noise under non-Lipschitz condition which is a much weaker condition than Lipschitzer one.
Journal Article
DCASE 2018 Challenge Surrey Cross-task convolutional neural network baseline
TL;DR: A cross-task baseline system for all five tasks based on a convlutional neural network (CNN): a “CNN Baseline” system that implemented CNNs with 4 layers and 8 layers originating from AlexNet and VGG from computer vision.
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Studies on the effect of swirl numbers on strongly swirling turbulent gas-particle flows using a phase-Doppler particle anemometer
TL;DR: In this paper, the effect of swirl numbers on the flow behavior of strongly swirling turbulent gas-particle flows with swirl numbers of s=0.47, 1.5, and 2.1 in suddenexpansion and cyclone chambers is studied using a 2D and a 3D phase Doppler particle anemometers (PDPA).
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Finite-Horizon $H_\infty$ State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling
TL;DR: This paper investigates an estimator design for time-varying coupled neural networks (NNs) over a finite-horizon, where an inner-coupling-dependent Markov chain is used to improve the efficiency of the communication channel and estimators are designed to enhance the performance of the estimators.
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Adaptive sliding mode controller design of Markov jump systems with time-varying actuator faults and partly unknown transition probabilities
TL;DR: By Lyapunov stability theory, some sufficient conditions of stochastic stability for Markov jump systems in the existence of actuators faults, unknown nonlinearities and unknown perturbation are derived.