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Results for "Jian Zhao"

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Picturing Bivariate Separable-Features for Univariate Vector Magnitudes in Large-Magnitude-Range Quantum Physics DataMay 06 2019We present study results from two experiments to empirically validate that separable bivariate pairs for univariate representations of large-magnitude-range vectors are more efficient than integral pairs. The first experiment with 20 participants compared: ... More
Bivariate Separable-Dimension Glyphs can Improve Visual Analysis of Holistic FeaturesDec 06 2017We introduce the cause of the inefficiency of bivariate glyphs by defining the corresponding error. To recommend efficient and perceptually accurate bivariate-glyph design, we present an empirical study of five bivariate glyphs based on three psychophysics ... More
Performance Optimization of Network Coding Based Communication and Reliable Storage in Internet of ThingsMar 09 2017Internet or things (IoT) is changing our daily life rapidly. Although new technologies are emerging everyday and expanding their influence in this rapidly growing area, many classic theories can still find their places. In this paper, we study the important ... More
Traveling waves and spreading speeds for time-space periodic monotone systemsApr 15 2015The theory of traveling waves and spreading speeds is developed for time-space periodic monotone semiflows with monostable structure. By using traveling waves of the associated Poincar\'e maps in a strong sense, we establish the existence of time-space ... More
Cost Minimization in Multiple IaaS Clouds: A Double Auction ApproachAug 04 2013Dec 08 2013IaaS clouds invest substantial capital in operating their data centers. Reducing the cost of resource provisioning, is their forever pursuing goal. Computing resource trading among multiple IaaS clouds provide a potential for IaaS clouds to utilize cheaper ... More
Work functions of pristine and alkali-metal intercalated carbon nanotubes and bundlesNov 07 2001The work functions (WF) of single-walled carbon nanotubes and bundles are studied using first principles methods. For individual metallic tubes, the WF is independent of the chirality and increase slightly with tube diameter. For semiconducting tubes, ... More
A Bayesian nonparametric mixture model for selecting genes and gene subnetworksJul 31 2014It is very challenging to select informative features from tens of thousands of measured features in high-throughput data analysis. Recently, several parametric/regression models have been developed utilizing the gene network information to select genes ... 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
Scalable Incremental Nonconvex Optimization Approach for Phase RetrievalJul 15 2018May 26 2019We aim to find a solution $\bm{x}\in\mathbb{C}^n$ to a system of quadratic equations of the form $b_i=\lvert\bm{a}_i^*\bm{x}\rvert^2$, $i=1,2,\ldots,m$, e.g., the well-known NP-hard phase retrieval problem. As opposed to recently proposed state-of-the-art ... 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
Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 MinimizationApr 30 2014From many fewer acquired measurements than suggested by the Nyquist sampling theory, compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high probability when it exhibits sparsity in some domain. Most of the conventional ... More
Exploiting Image Local And Nonlocal Consistency For Mixed Gaussian-Impulse Noise RemovalAug 18 2012Most existing image denoising algorithms can only deal with a single type of noise, which violates the fact that the noisy observed images in practice are often suffered from more than one type of noise during the process of acquisition and transmission. ... 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
Learned Conjugate Gradient Descent Network for Massive MIMO DetectionJun 10 2019Jun 11 2019In this work, we consider the use of model-driven deep learning techniques for massive multiple-input multiple-output (MIMO) detection. Compared with conventional MIMO systems, massive MIMO promises improved spectral efficiency, coverage and range. Unfortunately, ... 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
Dynamical evolution of quintessence cosmology in a physical phase spaceApr 16 2015Jun 12 2016The phase space analysis of cosmological parameters $\Omega_{\phi}$ and $\gamma_{\phi}$ is given. Based on this, the well-known quintessence cosmology is studied with an exponential potential $V(\phi)=V_{0}\exp(-\lambda\phi)$. Given observational data, ... 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
Realization and design of a pilot assist decision-making system based on speech recognitionJun 11 2014A system based on speech recognition is proposed for pilot assist decision-making. It is based on a HIL aircraft simulation platform and uses the microcontroller SPCE061A as the central processor to achieve better reliability and higher cost-effect performance. ... More
Image Restoration Using Joint Statistical Modeling in Space-Transform DomainMay 11 2014This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statistical manner. The main contributions are three-folds. First, from the perspective ... More
Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU AccelerationNov 26 2013In this paper, we present an approach to reconstruct 3-D human motion from multi-cameras and track human skeleton using the reconstructed human 3-D point (voxel) cloud. We use an improved and more robust algorithm, probabilistic shape from silhouette ... 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
Edge Heuristic GAN for Non-uniform Blind DeblurringJul 11 2019Non-uniform blur, mainly caused by camera shake and motions of multiple objects, is one of the most common causes of image quality degradation. However, the traditional blind deblurring methods based on blur kernel estimation do not perform well on complicated ... More
Dust Extinction towards the Type Ia Supernova 2012cu in NGC 4772Jan 14 2019Using photometric and spectroscopic data of Supernova (SN) 2012cu, a fairly reddened type Ia supernova, we derived its color excess curves and probed the dust extinction in its host galaxy, NGC 4772. In order to derive the extinction as a function of ... More
Average Entropy of the Ranges for Simple Random Walks on Discrete GroupsDec 03 2016Feb 20 2017Inspired by Benjamini et al (Ann. Inst. H. Poincar\'{e} Probab. Stat. 2010) and Windisch (Electron. J. Probab. 2010), we consider the entropy of the random walk range formed by a simple random walk on a discrete group. It is shown in this setting the ... More
A Riemannian Inexact Newton-CG Method for Nonnegative Inverse Eigenvalue Problems: Nonsymmetric CaseJun 12 2017This paper is concerned with the nonnegative inverse eigenvalue problem of finding a nonnegative matrix such that its spectrum is the prescribed self-conjugate set of complex numbers. We first reformulate the nonnegative inverse eigenvalue problem as ... 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
Structural Group Sparse Representation for Image Compressive Sensing RecoveryApr 29 2014Compressive Sensing (CS) theory shows that a signal can be decoded from many fewer measurements than suggested by the Nyquist sampling theory, when the signal is sparse in some domain. Most of conventional CS recovery approaches, however, exploited a ... More
Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal RegularizationAug 18 2012Dec 26 2012Recently, total variation (TV) based minimization algorithms have achieved great success in compressive sensing (CS) recovery for natural images due to its virtue of preserving edges. However, the use of TV is not able to recover the fine details and ... More
Radiative heat transfer between metallic nanoparticle clusters in both near field and far fieldJan 27 2019Micro-nanoparticle systems have wide applications in thermal science and technology. In dense particulate system, the particle separation distance may be less than the characteristic thermal wavelength and near field effect will be significant and become ... More
Projective symmetry group classification of $Z_3$ parafermion spin liquids on a honeycomb latticeNov 20 2017To study exotic excitations described by parafermions in the possible spin liquid states of SU($n$) spin systems, we introduce a parafermion parton approach. The SU($n$) spin operators can be represented by clock and shift matrices, which are shown to ... 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
Satellite Image Scene Classification via ConvNet with Context AggregationFeb 02 2018Jul 12 2018Scene classification is a fundamental problem to understand the high-resolution remote sensing imagery. Recently, convolutional neural network (ConvNet) has achieved remarkable performance in different tasks, and significant efforts have been made to ... More
Gas molecule adsorption in carbon nanotubes and nanotube bundlesOct 18 2001We studied various gas molecules (NO$_2$, O$_2$, NH$_3$, N$_2$, CO$_2$, CH$_4$, H$_2$O, H$_2$, Ar) on single-walled carbon nanotubes (SWNTs) and bundles using first principles methods. The equilibrium position, adsorption energy, charge transfer, and ... More
Quantum transport properties of ultrathin silver nanowiresSep 23 2002The quantum transport properties of the ultrathin silver nanowires are investigated. For a perfect crystalline nanowire with four atoms per unit cell, three conduction channels are found, corresponding to three $s$ bands crossing the Fermi level. One ... 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
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
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural NetworksAug 06 2019To address the limitations of existing magnitude-based pruning algorithms in cases where model weights or activations are of large and similar magnitude, we propose a novel perspective to discover parameter redundancy among channels and accelerate deep ... 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
Revision of Stellar Intrinsic Colors in the Infrared by the Spectroscopic SurveysSep 17 2016Intrinsic colors of normal stars are derived in the popularly used infrared bands involving the 2MASS/JHKs, WISE, Spitzer/IRAC and AKARI/S9W filters. Based on three spectroscopic surveys -- LAMOST, RAVE and APOGEE, stars are classified into groups of ... More
A fast second-order accurate difference schemes for time distributed-order and Riesz space fractional diffusion equationsJun 27 2018The aim of this paper is to develop fast second-order accurate difference schemes for solving one- and two-dimensional time distributed-order and Riesz space fractional diffusion equations. We adopt the same measures for one- and two-dimensional problems ... 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
Spectral properties of the square-lattice antiferromagnetic J1-J2 Heisenberg model: confinement and deconfinement of spinonsMay 21 2018Based on the mapping between $s=1/2$ spin operators and hard-core bosons, we extend the cluster perturbation theory to spin systems and study the whole excitation spectrum of the antiferromagnetic $J_{1}$-$J_{2}$ Heisenberg model on the square lattice. ... 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
Integrated Face Analytics Networks through Cross-Dataset Hybrid TrainingNov 16 2017Face analytics benefits many multimedia applications. It consists of a number of tasks, such as facial emotion recognition and face parsing, and most existing approaches generally treat these tasks independently, which limits their deployment in real ... More
Robust Transceiver Design for MISO Interference Channel with Energy HarvestingJan 30 2015May 18 2015In this paper, we consider multiuser multiple-input single-output (MISO) interference channel where the received signal is divided into two parts for information decoding and energy harvesting (EH), respectively. The transmit beamforming vectors and receive ... More
A preconditioning technique for all-at-once system from the nonlinear tempered fractional diffusion equationJan 03 2019An all-at-once linear system arising from the nonlinear tempered fractional diffusion equation with variable coefficients is studied. Firstly, the nonlinear and linearized implicit schemes are proposed to approximate such the nonlinear equation with continuous/discontinuous ... More
The metallicity distribution of F/G dwarfs derived from BATC survey dataAug 30 2004Based on synthetic flux spectra calculated from theoretical atmospheric models, a calibration of temperature and metallicity for the dwarfs observed in the Beijing-Arizona-Taiwan-Connecticut (BATC) multicolor photometric system is presented in this paper. ... More
Matching Quasi Generalized Parton Distributions in the RI/MOM schemeFeb 01 2019Jul 31 2019Within the framework of large momentum effective theory (LaMET), genenaralized parton distributions (GPDs) can be extracted from lattice calculations of quasi-GPDs through a perturbative matching relation, up to power corrections that are suppressed by ... More
Reconstructing simulated CMB polarization power spectra with the Analytical Blind Separation methodAug 21 2019The Analytical Blind Separation (ABS) method is dedicated to extract the CMB signal from its contaminants without any prior information about foregrounds. In this study, we apply the ABS method to simulated polarization sky maps in order to test its ability ... More
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human ParsingApr 10 2018Jul 06 2018Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group behavior analysis, person re-identification ... More
When Work Matters: Transforming Classical Network Structures to Graph CNNJul 07 2018Numerous pattern recognition applications can be formed as learning from graph-structured data, including social network, protein-interaction network, the world wide web data, knowledge graph, etc. While convolutional neural network (CNN) facilitates ... More
Computational Design of Mixed-valence Tin Sulfides as Solar AbsorbersApr 29 2019Binary tin sulfides are appealing because of their simple stoichiometry and semiconducting properties and are potentially cost-effective optoelectronic materials. The multivalency of Sn allows yet more intermediate compositions, Sn$_x$S$_y$, whose structures ... More
The effects of degree correlations on network topologies and robustnessNov 08 2006Mar 20 2007Complex networks have been applied to model numerous interactive nonlinear systems in the real world. Knowledge about network topology is crucial for understanding the function, performance and evolution of complex systems. In the last few years, many ... More
Hierarchical modularity of nested bow-ties in metabolic networksApr 30 2006Aug 31 2006The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structure and functionality of metabolic networks. Topological analysis of graph ... More
Carboxyl Carbon Quantum Dots: a Novel Type of Environmental-Friendly Scale InhibitorAug 22 2018In this work, we demonstrate high inhibition efficiency of carboxyl carbon quantum dots (CCQDs) for the first time. The as-prepared CCQDs have excellent scale inhibition performance for calcium sulfate and barium sulfate. With static test of scale inhibition ... More
A Preconditioned Riemannian Gauss-Newton Method for Least Squares Inverse Eigenvalue ProblemsJun 17 2018This paper is concerned with the least squares inverse eigenvalue problem of reconstructing a linear parameterized real symmetric matrix from the prescribed partial eigenvalues in the sense of least squares, which was originally proposed by Chen and Chu ... More
Dynamics of Rogue Wave Excitation Pattern on Stripe Phase Backgrounds in a Two-component Bose-Einstein CondensateFeb 23 2017We study rogue wave excitation pattern in a two-component Bose-Einstein condensate with pair-transition effects. The results indicate that rogue wave excitation can exist on a stripe phase background for which there are cosine and sine wave background ... More
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial TrainingNov 12 2018Dialogue Act (DA) classification is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention. Currently, many existing approaches formulate the DA classification problem ... More
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised LearningMar 22 20193D face reconstruction from a single 2D image is a challenging problem with broad applications. Recent methods typically aim to learn a CNN-based 3D face model that regresses coefficients of 3D Morphable Model (3DMM) from 2D images to render 3D face reconstruction ... More
Multiple-Human Parsing in the WildMay 19 2017Mar 15 2018Human parsing is attracting increasing research attention. In this work, we aim to push the frontier of human parsing by introducing the problem of multi-human parsing in the wild. Existing works on human parsing mainly tackle single-person scenarios, ... More
Implement Quantum Random Walks with Linear Optics ElementsDec 29 2002The quantum random walk has drawn special interests because its remarkable features to the classical counterpart could lead to new quantum algorithms. In this paper, we propose a feasible scheme to implement quantum random walks on a line using only linear ... More
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive LossSep 19 2018Deep neural networks have exhibited promising performance in image super-resolution (SR) due to the power in learning the non-linear mapping from low-resolution (LR) images to high-resolution (HR) images. However, most deep learning methods employ feed-forward ... More
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-CommerceApr 03 2019Nowadays, more and more customers browse and purchase products in favor of using mobile E-Commerce Apps such as Taobao and Amazon. Since merchants are usually inclined to describe redundant and over-informative product titles to attract attentions from ... More
Arbitrary Rotation of a Single Spinwave Qubit in an Atomic-Ensemble Quantum MemoryJan 28 2015We report the first experimental realization of single-qubit manipulation for single spinwaves stored in an atomic ensemble quantum memory. In order to have high-fidelity gate operations, we make use of stimulated Raman transition and controlled Lamor ... More
Effects of Rashba spin-orbit coupling and a magnetic field on a polygonal quantum ringFeb 17 2014Using standard quantum network method, we analytically investigate the effect of Rashba spin-orbit coupling (RSOC) and a magnetic field on the spin transport properties of a polygonal quantum ring. Using Landauer-Buttiker formula, we have found that the ... More
Cine cone beam CT reconstruction using low-rank matrix factorization: algorithm and a proof-of-princple studyApr 16 2012Respiration-correlated CBCT, commonly called 4DCBCT, provide respiratory phase-resolved CBCT images. In many clinical applications, it is more preferable to reconstruct true 4DCBCT with the 4th dimension being time, i.e., each CBCT image is reconstructed ... More
Computational Complexity of Continuous Variable Quantum Key DistributionFeb 01 2006Jun 03 2008The continuous variable quantum key distribution has been considered to have the potential to provide high secret key rate. However, in present experimental demonstrations, the secret key can be distilled only under very small loss rates. Here, by calculating ... More
A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWASMay 19 2013In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting for a complicated dependence structure among samples. Therefore, penalized ... More
Personalized and Occupational-aware Age Progression by Generative Adversarial NetworksNov 26 2017Dec 01 2017Face age progression, which aims to predict the future looks, is important for various applications and has been received considerable attentions. Existing methods and datasets are limited in exploring the effects of occupations which may influence the ... More
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature FusionApr 03 2017Feb 09 2018Unconstrained face recognition performance evaluations have traditionally focused on Labeled Faces in the Wild (LFW) dataset for imagery and the YouTubeFaces (YTF) dataset for videos in the last couple of years. Spectacular progress in this field has ... More
Quasar 2175 Å dust absorbers I: metallicity, depletion pattern, and kinematicsAug 14 2017We present 13 new 2175 {\AA} dust absorbers at z_abs = 1.0 - 2.2 towards background quasars from the Sloan Digital Sky Survey. These absorbers are examined in detail using data from the Echelle Spectrograph and Imager (ESI) on the Keck II telescope. Many ... More
Improving Automatic Source Code Summarization via Deep Reinforcement LearningNov 17 2018Code summarization provides a high level natural language description of the function performed by code, as it can benefit the software maintenance, code categorization and retrieval. To the best of our knowledge, most state-of-the-art approaches follow ... More
One-stage Shape Instantiation from a Single 2D Image to 3D Point CloudJul 24 2019Shape instantiation which predicts the 3D shape of a dynamic target from one or more 2D images is important for real-time intra-operative navigation. Previously, a general shape instantiation framework was proposed with manual image segmentation to generate ... More
Transient acceleration in $f(T)$ gravityMar 28 2014Jun 03 2016Recently a $f(T)$ gravity based on the modification of the teleparallel gravity was proposed to explain the accelerated expansion of the universe without the need of dark energy. We use observational data from Type Ia Supernovae, Baryon Acoustic Oscillations, ... More
Runge-Kutta discontinuous Galerkin methods for the special relativistic magnetohydrodynamicsOct 06 2016This paper develops $P^K$-based non-central and central Runge-Kutta discontinuous Galerkin (DG) methods with WENO limiter for the one- and two-dimensional special relativistic magnetohydrodynamical (RMHD) equations, $K=1,2,3$. The non-central DG methods ... More
Advancing System Performance with Redundancy: From Biological to Artificial DesignsFeb 14 2018Redundancy is a fundamental characteristic of many biological processes such as those in the genetic, visual, muscular and nervous system; yet its function has not been fully understood. The conventional interpretation of redundancy is that it serves ... More
Photon assisted tunneling through three quantum dots with spin-orbit-couplingFeb 24 2014The effect of an ac electric field on quantum transport properties in a system of three quantum dots, two of which are connected in parallel while the third is coupled to one of the other two, is investigated theoretically. Based on the Keldysh nonequilibrium ... More
Weighted Network of Chinese Nature Science Basic ResearchJun 09 2006Using the requisition papers of Chinese Nature Science Basic Research in management and information department, we construct the weighted network of research areas({\bf WRAN}) represented by the subject codes. In WRAN, two research areas are considered ... More
Mode Modification of Plasmonic Gap Resonances induced by Strong Coupling with Molecular ExcitonsJul 26 2016Plasmonic cavities can be used to control the atom-photon coupling process at the nanoscale, since they provide ultrahigh density of optical states in an exceptionally small mode volume. Here we demonstrate strong coupling between molecular excitons and ... More
The focusing effect of electron flow and negative refraction in three dimensional topological insulatorsMay 03 2018We studied the focusing effect of electron flow induced by a single p-n junction (PNJ) in three-dimensional topological insulator. It is found that the electrons flowing from the n region can be focused at the symmetric position in the p region, acting ... More
Operating Spin Echo in the Quantum Regime for an Atomic-Ensemble Quantum MemoryJan 26 2015Spin echo is a powerful technique to extend atomic or nuclear coherence time by overcoming the dephasing due to inhomogeneous broadening. However, applying this technique to an ensemble-based quantum memory at single-quanta level remains challenging. ... More
Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT NetworkAug 20 2019Traditional simultaneous wireless information and power transfer (SWIPT) with power splitting assumes perfect channel state information (CSI), which is difficult to obtain especially in the massive multiple-input-multiple-output (MIMO) regime. In this ... More
Nuclear spin pair coherence in diamond for atomic scale magnetometryMar 23 2010The nitrogen-vacancy (NV) centre, as a promising candidate solid state system of quantum information processing, its electron spin coherence is influenced by the magnetic field fluctuations due to the local environment. In pure diamonds, the environment ... More
Transverse angular momentum in topological photonic crystalsSep 14 2017Engineering local angular momentum of structured light fields in real space enables unprecedented applications in many fields, in particular for the realization of unidirectional robust transport in topological photonic crystals with non-trivial Berry ... More
X-Band deflecting cavity design for ultra-short bunch length measurement of SXFEL at SINAPJun 03 2014For the development of the X-ray Free Electron Lasers test facility (SXFEL) at SINAP, ultra-short bunch is the crucial requirement for excellent lasing performance. It's a big challenge for deflecting cavity to measure the length of ultra-short bunch, ... More
A Rewritable, Random-Access DNA-Based Storage SystemMay 08 2015We describe the first DNA-based storage architecture that enables random access to data blocks and rewriting of information stored at arbitrary locations within the blocks. The newly developed architecture overcomes drawbacks of existing read-only methods ... More
Sub-system fidelity for ground states in one dimensional interacting systemsSep 29 2016We propose to utilize the sub-system fidelity (SSF), defined by comparing a pair of reduced density matrices derived from the degenerate ground states, to identify and/or characterize symmetry protected topological (SPT) states in one-dimensional interacting ... More
Generalized-impedance and Stability Criterion for Grid-connected ConvertersJun 18 2017The output impedance matrix of a grid-connected converter plays an important role in analyzing system stability. Due to the dynamics of the DC-link control and the phase locked loop (PLL), the output impedance matrices of the converter and grid are difficult ... More
Central Runge-Kutta discontinuous Galerkin methods for the special relativistic hydrodynamicsSep 22 2016This paper developes Runge-Kutta $P^K$-based central discontinuous Galerkin (CDG) methods with WENO limiter to the one- and two-dimensional special relativistic hydrodynamical (RHD) equations, $K=1,2,3$. Different from the non-central DG methods, the ... More
Adsorption and dissociation of water on Zr(0001) with density-functional theory studiesApr 12 2011The adsorption and dissociation of isolated water molecule on Zr(0001) surface are theoretically investigated for the first time by using density-functional theory calculations. Two kinds of adsorption configurations with almost the same adsorption energy ... More
Adsorption and diffusion of H2O molecule on the Be(0001) surface: A density-functional theory studyMar 23 2011Using first-principles calculations, we systematically study the adsorption behavior of a single molecular H$_{2}$O on the Be(0001) surface. We find that the favored molecular adsorption site is the top site with an adsorption energy of about 0.3 eV, ... More
Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural networkFeb 19 2019A challenge in speech production research is to predict future tongue movements based on a short period of past tongue movements. This study tackles speaker-dependent tongue motion prediction problem in unlabeled ultrasound videos with convolutional long ... More
Atomic and photonic entanglement concentration via photonic Faraday rotationOct 07 2012We propose two alternative entanglement concentration protocols (ECPs) using the Faraday rotation of photonic polarization. Through the single-photon input-output process in cavity QED, it is shown that the maximally entangled atomic (photonic) state ... More
The thermodynamic relationship between the RN-AdS black holes and the RN black hole in canonical ensembleDec 12 2016Apr 14 2017In this paper, by analyzing the thermodynamic properties of charged AdS black hole and asymptotically flat space-time charged black hole in the vicinity of the critical point, we establish the correspondence between the thermodynamic parameters of asymptotically ... More
Performance of Underwater Quantum Key Distribution with Polarization EncodingMar 04 2019Mar 25 2019Underwater quantum key distribution (QKD) has potential applications in absolutely secure underwater communication. However, the performance of underwater QKD is limited by the optical elements, background light, and dark counts of the detector. In this ... More
Testing the ABS method with the simulated Planck temperature mapsJul 18 2018Nov 08 2018In this study, we apply the Analytical method of Blind Separation (ABS) of the cosmic microwave background (CMB) from foregrounds to estimate the CMB temperature power spectrum from multi-frequency microwave maps. We test the robustness of the ABS estimator ... More
The diffuse Galactic gamma-rays from dark matter annihilationNov 26 2006Oct 01 2008The diffuse Galactic $\gamma$-rays from EGRET observation shows excesses above 1 GeV in comparison with the expectations from conventional Galactic cosmic ray (CR) propagation model. In the work we try to solve the "GeV excess" problem by dark matter ... More
What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?May 07 2019Jun 08 2019Little is known about how people learn from a brief glimpse of three-dimensional (3D) bivariate vector field visualizations and about how well visual features can guide behavior. Here we report empirical study results on the use of color, texture, and ... More
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display AdvertisingJun 09 2018Click-through rate (CTR) prediction is a critical task in online display advertising. The data involved in CTR prediction are typically multi-field categorical data, i.e., every feature is categorical and belongs to one and only one field. One of the ... More