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Results for "Jian Zhao"
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Notes on nonlocal dispersal equations in a periodic habitatNov 03 2017In this paper, we prove that the solution maps of a large class of nonlocal dispersal equations are $\alpha$-contractions, where $\alpha$ is the Kuratowski measure of noncompactness. Then we give some remarks on the spreading speeds and traveling waves ... More A Novel Quantum Image Compression Method Based on JPEGJan 06 2017Quantum image processing has been a hot topic. The first step of it is to store an image into qubits, which is called quantum image preparation. Different quantum image representations may have different preparation methods. In this paper, we use GQIR ... More Robust LSTM-Autoencoders for Face De-Occlusion in the WildDec 27 2016Face recognition techniques have been developed significantly in recent years. However, recognizing faces with partial occlusion is still challenging for existing face recognizers which is heavily desired in real-world applications concerning surveillance ... More 1-bit Compressive Data Gathering for Wireless Sensor NetworksJan 07 2014Compressive sensing (CS) has been widely used for the data gathering in wireless sensor networks for the purpose of reducing the communication overhead recent years. In this paper, we first show that with simple modification, 1-bit compressive sensing ... More A quantum oscillator model for entropic gravityJul 25 2012Apr 11 2013In Verlinde's theory of entropic gravity, the internal degrees of freedom are marked by "bits", but the microscopic origin of "bits" is unknown hitherto. To this direction, we adopt the quantum harmonic oscillators to naively model the internal degrees ... More Group-based Sparse Representation for Image RestorationMay 14 2014Traditional patch-based sparse representation modeling of natural images usually suffer from two problems. First, it has to solve a large-scale optimization problem with high computational complexity in dictionary learning. Second, each patch is considered ... More Electrochemical capacitance of a leaky nano-capacitorOct 22 1999We report a detailed theoretical investigation on electrochemical capacitance of a nanoscale capacitor where there is a DC coupling between the two conductors. For this ``leaky'' quantum capacitor, we have derived general analytic expressions of the linear ... More "Tom" pet robot applied to urban autismMay 14 2019With the fast development of network information technology, more and more people are immersed in the virtual community environment brought by the network, ignoring the social interaction in real life. The consequent urban autism problem has become more ... More Efficient Numerical Evaluation of Feynman IntegralAug 11 2015Jan 10 2016Feynman loop integrals are a key ingredient for the calculation of higher order radiation effects, and are responsible for reliable and accurate theoretical prediction. We improve the efficiency of numerical integration in sector decomposition by implementing ... More Network induced large correlation matrix estimationDec 31 2015Aug 07 2017The correlation matrix of massive biomedical data (e.g. gene expression or neuroimaging data) often exhibits a complex and organized, yet latent graph topological structure. We propose a two step procedure that first detects the latent graph topology ... More Observational constraint on the varying speed of light theoryJul 04 2014Oct 07 2014The varying speed of light (VSL) theory is controversial. It succeeds in explaining some cosmological problems, but on the other hand it is excluded by mainstream physics because it will shake the foundation of physics. In the present paper, we devote ... More A Practical Scheme for Entanglement ConcentrationApr 09 2001We present a realistic purification scheme for pure non-maximally entangled states. In the scheme, Alice and Bob at two distant parties first start with two shared but less entangled photon pairs to produce a conditional four-photon GHZ state, then perform ... More Effect of memory on the prisoner's dilemma game in a square latticeJan 18 2008Oct 30 2008We have studied the effect of memory on evolution of the prisoner's dilemma game using square lattice networks. Based on extensive simulations, we found that the density of cooperators was enhanced by an increasing memory effect for most parameters. However, ... More Operation-aware Neural Networks for User Response PredictionApr 02 2019User response prediction makes a crucial contribution to the rapid development of online advertising system and recommendation system. The importance of learning feature interactions has been emphasized by many works. Many deep models are proposed to ... More One-Loop Matching for Parton Distributions: Non-Singlet CaseOct 28 2013We derive one-loop matching condition for non-singlet quark distributions in transverse-momentum cut-off scheme, including unpolarized, helicity and transversity distributions. The matching is between the quasi-distribution defined by static correlation ... More Thermodynamics of SU(2) bosons in one dimensionNov 07 2001Jan 07 2002On the basis of Bethe ansatz solution of two-component bosons with SU(2) symmetry and $\delta$-function interaction in one dimension, we study the thermodynamics of the system at finite temperature by using the strategy of thermodynamic Bethe ansatz (TBA). ... More Closed orbit correction of HIMM synchrotronFeb 05 2015The correction of closed orbit has great influence on the operation of synchrotron. The design of correction system is one significant component of lattice design. It is suggested to set BPMs at the peaks of betatron oscillation. The correctors need to ... More Learning to Explore with Meta-Policy GradientMar 13 2018Mar 26 2018The performance of off-policy learning, including deep Q-learning and deep deterministic policy gradient (DDPG), critically depends on the choice of the exploration policy. Existing exploration methods are mostly based on adding noise to the on-going ... More Integrating Existing Software Toolkits into VO SystemNov 15 2004Virtual Observatory (VO) is a collection of interoperating data archives and software tools. Taking advantages of the latest information technologies, it aims to provide a data-intensively online research environment for astronomers all around the world. ... More Augmenting Mobile Phone Interaction with Face-Engaged GesturesOct 02 2016The movement of a user's face, easily detected by a smartphone's front camera, is an underexploited input modality for mobile interactions. We introduce three sets of face-engaged interaction techniques for augmenting the traditional mobile inputs, which ... More Object Relation Detection Based on One-shot LearningJul 16 2018Detecting the relations among objects, such as "cat on sofa" and "person ride horse", is a crucial task in image understanding, and beneficial to bridging the semantic gap between images and natural language. Despite the remarkable progress of deep learning ... More Testing dark energy models with $H(z)$ dataJun 01 2016Jun 10 2016$Om(z)$ is a diagnostic approach to distinguish dark energy models. However, there are few articles to discuss what is the distinguishing criterion. In this paper, firstly we smooth the latest observational $H(z)$ data using a model-independent method ... More Nonlinear Quantum CapacitanceFeb 23 1999We analyze the nonlinear voltage dependence of elelctrochemical capacitance for nano-scale conductors. This voltage dependence is due to finite density of states of the conductors. We derive an exact expression for the electrochemical capacitance-voltage ... More The Ultraviolet Extinction in the $GALEX$ BandsMay 23 2018Interstellar extinction in ultraviolet is the most severe in comparison with optical and infrared wavebands and a precise determination plays an important role in correctly recovering the ultraviolet brightness and colors of objects. By finding the observed ... More Identifying MgII Narrow Absorption Lines with Deep LearningApr 27 2019Metal absorption line systems in distant quasar spectra probe of the history of gas content in the universe. The MgII $\lambda \lambda$ 2796, 2803 doublet is one of the most important absorption lines since it is a proxy of the star formation rate and ... More Stochastic Variance Reduction for Deep Q-learningMay 20 2019Recent advances in deep reinforcement learning have achieved human-level performance on a variety of real-world applications. However, the current algorithms still suffer from poor gradient estimation with excessive variance, resulting in unstable training ... More Structure and superconductivity of Mg(B1-xCx)2 compoundsMar 09 2001In this paper, we reported the structural properties and superconductivity of Mg(B1-xCx)2 compounds. Powder x-ray diffraction results indicate that the samples crystallize in a hexagonal AlB2-type structure. Due to the chemical activity of Mg powders, ... More Identifying the Absorption Bump with Deep LearningNov 17 2015Nov 20 2015The pervasive interstellar dust grains provide significant insights to understand the formation and evolution of the stars, planetary systems, and the galaxies, and may harbor the building blocks of life. One of the most effective way to analyze the dust ... More