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Improved NN-JPDAF for Joint Multiple Target Tracking and Feature ExtractionMar 24 2017Feature aided tracking can often yield improved tracking performance over the standard multiple target tracking (MTT) algorithms with only kinematic measurements. However, in many applications, the feature signal of the targets consists of sparse Fourier-domain ... More

SybilBlind: Detecting Fake Users in Online Social Networks without Manual LabelsJun 13 2018Detecting fake users (also called Sybils) in online social networks is a basic security research problem. State-of-the-art approaches rely on a large amount of manually labeled users as a training set. These approaches suffer from three key limitations: ... More

Adaptive Interference Removal for Un-coordinated Radar/Communication Co-existenceJun 09 2017Dec 19 2017Most existing approaches to co-existing communication/radar systems assume that the radar and communication systems are coordinated, i.e., they share information, such as relative position, transmitted waveforms and channel state. In this paper, we consider ... More

Millimeter-Wave Beamformed Full-dimensional MIMO Channel Estimation Based on Atomic Norm MinimizationSep 12 2017The millimeter-wave (mmWave) full-dimensional (FD) MIMO system employs planar arrays at both the base station and user equipment and can simultaneously support both azimuth and elevation beamforming. In this paper, we propose atomic-norm-based methods ... More

Compressed ghost edge imagingFeb 22 2019In this paper, we propose an advanced framework of ghost edge imaging, named compressed ghost edge imaging (CGEI). In the scheme, a set of structured speckle patterns with pixel shifting are illuminated on an unknown object, and the output is collected ... More

Maximum Path Information and Fokker-Planck EquationNov 16 2010We present in this paper a rigorous method to derive the nonlinear Fokker-Planck (FP) equation of anomalous diffusion directly from a generalization of the principle of least action of Maupertuis proposed by Wang for smooth or quasi-smooth irregular dynamics ... More

Simulating non-small cell lung cancer with a multiscale agent-based modelJun 11 2007Background The epidermal growth factor receptor (EGFR) is frequently overexpressed in many cancers, including non-small cell lung cancer (NSCLC). In silcio modeling is considered to be an increasingly promising tool to add useful insights into the dynamics ... More

GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized ViewsMar 28 2019In this paper, we proposed a no-reference (NR) quality metric for RGB plus image-depth (RGB-D) synthesis images based on Generative Adversarial Networks (GANs), namely GANs-NQM. Due to the failure of the inpainting on dis-occluded regions in RGB-D synthesis ... More

Light Drag Effect of Vacuum Tube Versus Light Propagation in Stationary Vacuum Tube with Moving Source and ReceiverMay 25 2016May 30 2016We presented a new way to examine the principle of relativity of Special Relativity. According to the principle of relativity, the light dragging by moving media and the light propagation in stationary media with moving source and receiver should be two ... More

The linear instability of the stratified plane Couette flowNov 30 2017We present the stability analysis of a plane Couette flow which is stably stratified in the vertical direction orthogonally to the horizontal shear. Interest in such a flow comes from geophysical and astrophysical applications where background shear and ... More

Recurrent Coevolutionary Feature Embedding Processes for RecommendationSep 13 2016Recommender systems often use latent features to explain the behaviors of users and capture the properties of items. As users interact with different items over time, user and item features can influence each other, evolve and co-evolve over time. To ... More

On Clutter Ranks of Frequency Diverse Radar WaveformsMar 27 2016Frequency diverse (FD) radar waveforms are attractive in radar research and practice. By combining two typical FD waveforms, the frequency diverse array (FDA) and the stepped-frequency (SF) pulse train, we propose a general FD waveform model, termed the ... More

A Stochastic Differential Equation Framework for Guiding Information DiffusionMar 30 2016May 24 2016The information content of a node in information networks is influenced by its neighbors in the networks. Recently there has been much work on modeling information diffusion, but few has integrated these models for online decision making. A framework ... More

Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image PairMay 16 2019Mutual calibration between color and depth cameras is a challenging topic in multi-modal data registration. In this paper, we are confronted with a "Bimodal Stereo" problem, which aims to solve camera pose from a pair of an uncalibrated color image and ... More

Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow RemovalDec 07 2017Understanding shadows from a single image spontaneously derives into two types of task in previous studies, containing shadow detection and shadow removal. In this paper, we present a multi-task perspective, which is not embraced by any existing work, ... More

Simulating Brain Tumor Heterogeneity with a Multiscale Agent-Based Model: Linking Molecular Signatures, Phenotypes and Expansion RateDec 18 2006Jul 16 2007We have extended our previously developed 3D multi-scale agent-based brain tumor model to simulate cancer heterogeneity and to analyze its impact across the scales of interest. While our algorithm continues to employ an epidermal growth factor receptor ... More

Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution NetworksFeb 26 2016We present explicit sufficient conditions that guarantee the existence and uniqueness of the feasible load-flow solution for distribution networks with a generic topology (radial or meshed) modeled with positive sequence equivalents. In the problem, we ... More

Pilot Contamination Mitigation for Wideband Massive MMO: Number of Cells Vs MultipathSep 17 2015This paper proposes novel joint channel estimation and beamforming approach for multicell wideband massive multiple input multiple output (MIMO) systems. Using our channel estimation and beamforming approach, we determine the number of cells $N_c$ that ... More

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsOct 04 2017Oct 10 2017Extracting, harvesting and building large-scale annotated radiological image datasets is a greatly important yet challenging problem. It is also the bottleneck to designing more effective data-hungry computing paradigms (e.g., deep learning) for medical ... More

Does $\ell_p$-minimization outperform $\ell_1$-minimization?Jan 15 2015Jun 10 2016In many application areas we are faced with the following question: Can we recover a sparse vector $x_o \in \mathbb{R}^N$ from its undersampled set of noisy observations $y \in \mathbb{R}^n$, $y=A x_o+w$. The last decade has witnessed a surge of algorithms ... More

Quality-aware Unpaired Image-to-Image TranslationMar 15 2019Generative Adversarial Networks (GANs) have been widely used for the image-to-image translation task. While these models rely heavily on the labeled image pairs, recently some GAN variants have been proposed to tackle the unpaired image translation task. ... More

Angle-adjustable density field formulation for modeling crystalline microstructuresMay 15 2018A continuum density-field formulation with particle-scale resolution is constructed to simultaneously incorporate the orientation dependence of interparticle interactions and the rotational invariance of the system, a fundamental but challenging issue ... More

Elastic constants of stressed and unstressed materials in the phase field crystal modelDec 21 2017Apr 25 2018A general procedure to investigate the elastic response and calculate the elastic constants of stressed and unstressed materials through continuum field modeling, particularly the phase field crystal (PFC) models, is presented. It is found that for a ... More

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsMay 16 2017Jun 21 2017The availability of large scale event data with time stamps has given rise to dynamically evolving knowledge graphs that contain temporal information for each edge. Reasoning over time in such dynamic knowledge graphs is not yet well understood. To this ... More

Variational Policy for Guiding Point ProcessesJan 30 2017Nov 10 2017Temporal point processes have been widely applied to model event sequence data generated by online users. In this paper, we consider the problem of how to design the optimal control policy for point processes, such that the stochastic system driven by ... More

Fast and Simple Optimization for Poisson Likelihood ModelsAug 03 2016Poisson likelihood models have been prevalently used in imaging, social networks, and time series analysis. We propose fast, simple, theoretically-grounded, and versatile, optimization algorithms for Poisson likelihood modeling. The Poisson log-likelihood ... More

Critical exponents and fastest convergence rates of distributed consensus with switching topologies and additive noisesOct 23 2015Conditions for convergence and convergence speed are crucial for distributed consensus algorithms of networked systems. Based on a basic first-order average-consensus protocol, this paper estimates its fastest convergence rate under unknown switching ... More

Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of OutliersSep 08 2016We consider the problem of super-resolving the line spectrum of a multisinusoidal signal from a finite number of samples, some of which may be completely corrupted. Measurements of this form can be modeled as an additive mixture of a sinusoidal and a ... More

Pilot Contamination for Wideband Massive MMO: Number of cells Vs MultipathAug 14 2017This paper proposes a novel joint channel estimation and beamforming approach for multicell wideband massive multiple input multiple output (MIMO) systems. With the proposed channel estimation and beamforming approach, we determine the number of cells ... More

Adaptive Channel Prediction, Beamforming and Scheduling Design for 5G V2I NetworkJul 21 2017One of the important use-cases of 5G network is the vehicle to infrastructure (V2I) communication which requires accurate understanding about its dynamic propagation environment. As 5G base stations (BSs) tend to have multiple antennas, they will likely ... More

Multipath Multiplexing for Capacity Enhancement in SIMO Wireless SystemsJul 21 2017This paper proposes a novel and simple orthogonal faster than Nyquist (OFTN) data transmission and detection approach for a single input multiple output (SIMO) system. It is assumed that the signal having a bandwidth $B$ is transmitted through a wireless ... More

Near-Optimal Mean-Variance Controls under Two-time-scale Formulations and ApplicationsJan 17 2014Although the mean-variance control was initially formulated for financial portfolio management problems in which one wants to maximize expected return and control the risk, our motivations also stem from highway vehicle platoon controls that aim to maximize ... More

Radar and Communication Co-existence: an OverviewFeb 22 2019Increased amounts of bandwidth are required to guarantee both high-quality/high-rate wireless services (4G and 5G) and reliable sensing capabilities such as automotive radar, air traffic control, earth geophysical monitoring and security applications. ... More

Tunable ultra-high-efficiency light absorption of monolayer graphene using critical coupling with guided resonanceSep 07 2017We numerically demonstrate a novel monolayer graphene-based perfect absorption multi-layer photonic structure by the mechanism of critical coupling with guided resonance, in which the absorption of graphene can significantly close to 99% at telecommunication ... More

Meshless method for solving radiative transfer problems in complex two-dimensional and three-dimensional geometriesJul 05 2018A meshless method is presented to solve the radiative transfer equation in the even parity formulation of the discrete ordinates method in complex 2D and 3D geometries. Prediction results of radiative heat transfer problems obtained by the proposed method ... More

A Neural Influence Diffusion Model for Social RecommendationApr 20 2019Precise user and item embedding learning is the key to building a successful recommender system. Traditionally, Collaborative Filtering(CF) provides a way to learn user and item embeddings from the user-item interaction history. However, the performance ... More

Design, Modeling and Dynamic Compensation PID Control of a Fully-Actuated Aerial Manipulation SystemSep 23 2017This paper addresses design, modeling and dynamic-compensation PID (dc-PID) control of a novel type of fully-actuated aerial manipulation (AM) system. Firstly, design of novel mechanical structure of the AM is presented. Secondly, kinematics and dynamics ... More

Film Coating Process Research and Characterization of TiN Coated Racetrack-type Ceramic PipeJan 12 2015TiN film was coated on the internal face of racetrack-type ceramic pipe by three different methods: radio-frequency sputtering, DC sputtering and DC magnetron sputtering. The deposition rates of TiN film under different coating methods were compared. ... More

SocialGCN: An Efficient Graph Convolutional Network based Model for Social RecommendationNov 07 2018Collaborative Filtering (CF) is one of the most successful approaches for recommender systems. With the emergence of online social networks, social recommendation has become a popular research direction. Most of these social recommendation models utilized ... More

Strong interaction between graphene layer and Fano resonance in terahertz metamaterialsFeb 03 2017Mar 22 2017Graphene has emerged as a promising building block in the modern optics and optoelectronics due to its novel optical and electrical properties. In the mid-infrared and terahertz (THz) regime, graphene behaves like metals and supports surface plasmon resonances ... More

Anisotropic hybridization in a new Kondo lattice compound CeCoInGa$_3$Sep 13 2018We report a detailed and comparative study of the single crystal CeCoInGa$_3$ in both experiment and theory. Resistivity measurements reveal the typical behavior of Kondo lattice with the onset temperature of coherence, $T^*\approx 50\,$K. The magnetic ... More

Cryogenic Sapphire Oscillator using a low-vibration design pulse-tube cryocooler: First resultsApr 04 2010A Cryogenic Sapphire Oscillator has been implemented at 11.2 GHz using a low-vibration design pulse-tube cryocooler. Compared with a state-of-the-art liquid helium cooled CSO in the same laboratory, the square root Allan variance of their combined fractional ... More

Super-Resolution Delay-Doppler Estimation for OFDM Passive RadarOct 13 2016Feb 15 2017In this paper, we consider the problem of joint delay-Doppler estimation of moving targets in a passive radar that makes use of orthogonal frequency-division multiplexing (OFDM) communication signals. A compressed sensing algorithm is proposed to achieve ... More

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-raysJan 12 2018Chest X-rays are one of the most common radiological examinations in daily clinical routines. Reporting thorax diseases using chest X-rays is often an entry-level task for radiologist trainees. Yet, reading a chest X-ray image remains a challenging job ... More

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesMay 05 2017Dec 14 2017The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern ... More

Fully discrete needlet approximation on the sphereFeb 20 2015Jul 06 2016Spherical needlets are highly localized radial polynomials on the sphere $\mathbb{S}^{d}\subset \mathbb{R}^{d+1}$, $d\ge 2$, with centers at the nodes of a suitable cubature rule. The original semidiscrete spherical needlet approximation of Narcowich, ... More

Approaching perfect absorption of monolayer molybdenum disulfide at visible wavelengths using critical couplingFeb 02 2018A simple perfect absorption structure is proposed to achieve the high efficiency light absorption of monolayer molybdenum disulfide (MoS 2 ) by the critical coupling mechanism of guided resonances. The results of numerical simulation and theoretical analysis ... More

Actively tunable slow light in a terahertz hybrid metal-graphene metamaterialJun 18 2018We theoretically and numerically demonstrate an actively tunable slow light in a hybrid metal-graphene metamaterial in the terahertz (THz) regime. In the unit cell, the near field coupling between the metallic elements including the bright cut wire resonator ... More

Super-Resolution Delay-Doppler Estimation for OFDM Passive RadarOct 13 2016In this paper, we consider the problem of joint delay-Doppler estimation of moving targets in a passive radar that makes use of orthogonal frequency-division multiplexing (OFDM) communication signals. A compressed sensing algorithm is proposed to achieve ... More

NegBio: a high-performance tool for negation and uncertainty detection in radiology reportsDec 16 2017Dec 27 2017Negative and uncertain medical findings are frequent in radiology reports, but discriminating them from positive findings remains challenging for information extraction. Here, we propose a new algorithm, NegBio, to detect negative and uncertain findings ... More

Can Conformal and Disformal Couplings Between Dark Sectors Explain the EDGES 21cm Anomaly?Jul 15 2018Jan 01 2019The recently announced result by EDGES points an unexpected excess in the 21 cm global brightness temperature from cosmic dawn at $z\sim 17$, potentially indicating new phenomena beyond the $\Lambda$CDM model. A generic cosmological model which allows ... More

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest RadiographsJul 19 2018In this work, we exploit the task of joint classification and weakly supervised localization of thoracic diseases from chest radiographs, with only image-level disease labels coupled with disease severity-level (DSL) information of a subset. A convolutional ... More

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image DatabaseMar 25 2016Obtaining semantic labels on a large scale radiology image database (215,786 key images from 61,845 unique patients) is a prerequisite yet bottleneck to train highly effective deep convolutional neural network (CNN) models for image recognition. Nevertheless, ... More

Needlet approximation for isotropic random fields on the sphereDec 24 2015Dec 10 2016In this paper we establish a multiscale approximation for random fields on the sphere using spherical needlets --- a class of spherical wavelets. We prove that the semidiscrete needlet decomposition converges in mean and pointwise senses for weakly isotropic ... More

Plasmon scattering from holes: from single hole scattering to Young's experimentJan 09 2014In this article, the scattering of surface plasmon polaritons (SPPs) into photons at holes is investigated. A local, electrically excited source of SPPs using a scanning tunnelling microscope (STM) produces an outgoing circular plasmon wave on a thick ... More

Multiple Pulses Phase-matching Quantum Key DistributionMay 25 2019We propose a multiple pulses phase-matching quantum key distribution protocol (MPPM-QKD) to exceed the linear key rate bound and to achieve higher error tolerance. In our protocol, Alice and Bob generate at first their own train pulses (each train should ... More

Deep Plug-and-play Prior for Low-rank Tensor CompletionMay 11 2019Tensor image data sets such as color images and multispectral images are highly correlated and they contain a lot of image details. The main aim of this paper is to propose and develop a regularized tensor completion model for tensor image data completion. ... More

Tunable light trapping and absorption enhancement with graphene-based complementary metamaterialsSep 08 2017Surface plasmon resonance (SPR) has been intensively investigated and widely exploited to trap the incident light and enhance absorption in the optoelectronic devices. The availability of graphene as a plasmonic material with strong half-metallicity and ... More

Sparse Isotropic Regularization for Spherical Harmonic Representations of Random Fields on the SphereJan 10 2018This paper discusses sparse isotropic regularization for a random field on the unit sphere $\mathbb{S}^2$ in $\mathbb{R}^{3}$, where the field is expanded in terms of a spherical harmonic basis. A key feature is that the norm used in the regularization ... More

A counterexample against the Lesche stability of a generic entropy functionalMar 24 2009We provide a counterexample to show that the generic form of entropy S(p)=sum_i g(p_i) is not always stable against small variation of probability distribution (Lesche stability) even if is concave function on [0,1] and analytic on ]0,1]. Our conclusion ... More

Abelian and Non-Abelian States in $ν=2/3$ Bilayer Fractional Quantum Hall SystemsFeb 09 2015Jul 08 2015There are several possible theoretically allowed non-Abelian fractional quantum Hall (FQH) states that could potentially be realized in one- and two- component FQH systems at total filling fraction $\nu = n+ 2/3$, for integer $n$. Some of these states ... More

Control System of the BepciiNov 21 2001Recently the Chinese Academy of Sciences has chosen BEPCII as the future development of the BEPC, i.e. upgrade of both the machine and detector. The luminosity of the machine is expected to increase to 1.0x1033cm-2s-1. The project will be started at the ... More

Playing hard exploration games by watching YouTubeMay 29 2018Nov 30 2018Deep reinforcement learning methods traditionally struggle with tasks where environment rewards are particularly sparse. One successful method of guiding exploration in these domains is to imitate trajectories provided by a human demonstrator. However, ... More

Online VNF Scaling in DatacentersApr 05 2016Network Function Virtualization (NFV) is a promising technology that promises to significantly reduce the operational costs of network services by deploying virtualized network functions (VNFs) to commodity servers in place of dedicated hardware middleboxes. ... More

Iterative Learning with Open-set Noisy LabelsMar 31 2018Large-scale datasets possessing clean label annotations are crucial for training Convolutional Neural Networks (CNNs). However, labeling large-scale data can be very costly and error-prone, and even high-quality datasets are likely to contain noisy (incorrect) ... More

Tunable anisotropic perfect absorption in hyperbolic metamaterials based on black phosphorous/dielectric multilayer structuresJun 04 2018Black phosphorus (BP) as a promising two-dimensional material with extraordinary optical properties constitutes an excellent building block in multilayer hyperbolic metamaterials. In this work, we design a multilayer hyperbolic structure composed of BP/dielectric ... More

Quantum algorithm for association rules miningMay 24 2016Aug 16 2016Association rules mining (ARM) is one of the most important problems in knowledge discovery and data mining. Given a transaction database that has a large number of transactions and items, the task of ARM is to acquire consumption habits of customers ... More

From Physical to Cyber: Escalating Protection for Personalized Auto InsuranceSep 08 2016May 23 2017Nowadays, auto insurance companies set personalized insurance rate based on data gathered directly from their customers' cars. In this paper, we show such a personalized insurance mechanism -- wildly adopted by many auto insurance companies -- is vulnerable ... More

Outlier Detection using Generative Models with Theoretical Performance GuaranteesOct 26 2018This paper considers the problem of recovering signals from compressed measurements contaminated with sparse outliers, which has arisen in many applications. In this paper, we propose a generative model neural network approach for reconstructing the ground ... More

Tunable THz Surface Plasmon Polariton based on Topological Insulator-Layered Superconductor Hybrid StructureMar 05 2014We theoretically investigate the surface plasmon polariton (SPP) at the interface between 3D strong topological insulator (TI) and layered superconductor-magnetic insulator structure. The tunability of SPP through electronic doping can be enhanced when ... More

A mathematical structure for the generalization of the conventional algebraMar 11 2008An abstract mathematical framework is presented in this paper as a unification of several deformed or generalized algebra proposed recently in the context of generalized statistical theories intended to treat certain complex thermodynamic or statistical ... More

Inherent correlations between thermodynamics and statistic physics in extensive and nonextensive systemsOct 24 2008With the help of a general expression of the entropies in extensive and nonextensive systems, some important relations between thermodynamics and statistical mechanics are revealed through the views of thermodynamics and statistic physics. These relations ... More

Explainable Social Contextual Image Recommendation with Hierarchical AttentionJun 03 2018Jul 10 2018Image based social networks are among the most popular social networking services in recent years. With tremendous images uploaded everyday, understanding users' preferences to the user-generated images and recommending them to users have become an urgent ... More

Entanglement criterion via general symmetric informationally complete measurementsOct 09 2018We study the quantum separability problem by using general symmetric informationally complete measurements and present a separability criterion for arbitrary dimensional bipartite systems. We show by detailed examples that our criterion is more powerful ... More

Deep Fried ConvnetsDec 22 2014Jul 17 2015The fully connected layers of a deep convolutional neural network typically contain over 90% of the network parameters, and consume the majority of the memory required to store the network parameters. Reducing the number of parameters while preserving ... More

Adversarial Attack on Graph Structured DataJun 06 2018Deep learning on graph structures has shown exciting results in various applications. However, few attentions have been paid to the robustness of such models, in contrast to numerous research work for image or text adversarial attack and defense. In this ... More

Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor DecompositionJul 08 2017Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise, dead lines, stripes, and many others. Such complex noise could degrade the quality of the acquired ... More

Hadronic Rapidity Spectra in Heavy Ion Collisions at SPS and AGS energies in a Quark Combination ModelMay 03 2011The quark combination mechanism of hadron production is applied to nucleus-nucleus collisions at the CERN Super Proton Synchrotron (SPS) and BNL Alternating Gradient Synchrotron (AGS). The rapidity spectra of identified hadrons and their spectrum widths ... More

Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationOct 20 2018In this paper we present a hybrid active sampling strategy for pairwise preference aggregation, which aims at recovering the underlying rating of the test candidates from sparse and noisy pairwise labelling. Our method employs Bayesian optimization framework ... More

Experimental Demonstration of Real-time PDCP-RLC V-RAN Split Transmission over Fixed XGS-PON accessFeb 18 2019In this work, we experimentally assess the transmission of a PDCP-RLC virtualised RAN split interface through a commercial XGS-PON system. We investigate the impacts of DBA on the uplink and packet jitter on the downlink.

Oxygen vacancy induced room temperature metal-insulator transition in nickelates films and its potential application in photovoltaicsFeb 10 2016Oxygen vacancy is intrinsically coupled with magnetic, electronic and transport properties of transition-metal oxide materials and directly determines their multifunctionality. Here, we demonstrate reversible control of oxygen content by post-annealing ... More

Domain wall pinning and hard magnetic phase in Co-doped bulk single crystalline Fe3GeTe2May 09 2019We report the effects of cobalt doping on the magnetic properties of two-dimensional van der Waals ferromagnet Fe3GeTe2. Single crystals of (Fe{1-x}Cox)3GeTe2 with x=0-0.78 were successfully synthesized and characterized with x-ray diffraction, energy ... More

Rain Streak Removal for Single Image via Kernel Guided CNNAug 26 2018Aug 28 2018Rain streak removal is an important issue and has recently been investigated extensively. Existing methods, especially the newly emerged deep learning methods, could remove the rain streaks well in many cases. However the essential factor in the generative ... More

The excitation functions of 187Re(n,2n)186m,gRe ReactionsAug 27 2015A new value for the emission probability of 137.144keV g-ray of 186gRe decay are re-recommended to be 9.47+-0.03 (%). From this new g-ray emission probability, the measured cross sections for 187Re(n,2n)186mRe and 187Re(n,2n)186gRe reactions around 14MeV ... More

Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene RecognitionJan 23 2017Dec 27 2017The recent rapid and tremendous success of deep convolutional neural networks (CNN) on many challenging computer vision tasks largely derives from the accessibility of the well-annotated ImageNet and PASCAL VOC datasets. Nevertheless, unsupervised image ... More

X-ray fluorescence induced by standing waves in the grazing-incidence and grazing-exit modes: study of the Mg--Co--Zr systemNov 05 2015We present the characterization of Mg-Co-Zr tri-layer stacks by using x-ray fluorescence induced by x-ray standing waves, both in the grazing incidence (GI) and grazing exit (GE) modes. The introduction of a slit in the direction of the detector improves ... More

The second-order interference of two independent single-mode He-Ne lasersOct 08 2014The second-order spatial and temporal interference patterns with two independent single-mode He-Ne lasers are observed in a Hong-Ou-Mandel interferometer. Two-photon interference in Feynman's path integral theory is employed to interpret the experimental ... More

Decoupled NetworksApr 22 2018Inner product-based convolution has been a central component of convolutional neural networks (CNNs) and the key to learning visual representations. Inspired by the observation that CNN-learned features are naturally decoupled with the norm of features ... More

Interface observation of heat-treated Co/Mo2C multilayersJan 29 2015We study the interface evolution of a series of periodic Co/Mo2C multilayers as a function of the annealing temperature up to 600{\textdegree}C. Different complementary techniques are implemented to get information on the phenomenon taking place at the ... More

Drift Turbulence, Particle Transport, and Anomalous Dissipation at the Reconnecting MagnetopauseFeb 27 2018May 02 2018Using fully kinetic 3D simulations, the reconnection dynamics of asymmetric current sheets are examined at the Earth's magnetopause. The plasma parameters are selected to model MMS magnetopause diffusion region crossings with guide fields of 0.1, 0.4, ... More

Direct Experimental Evidence for Differing Reactivity Alterations of Minerals following Irradiation: The Case of Calcite and QuartzSep 05 2015Concrete, a mixture formed by mixing cement, water, and fine and coarse mineral aggregates is used in the construction of nuclear power plants (NPPs), e.g., to construct the reactor cavity concrete that encases the reactor pressure vessel, etc. In such ... More

Spin-Topology Dependent Brownian Diffusion of SkyrmionsJan 24 2019Non-interacting particles exhibiting Brownian motion have been observed in many occasions of sciences, such as molecules suspended in liquids, optically trapped microbeads, and spin textures in magnetic materials. In particular, a detailed examination ... More

Magnetic Raman continuum in single crystalline H$_3$LiIr$_2$O$_6$Jun 09 2019Recently H$_3$LiIr$_2$O$_6$ has been reported as a spin-orbital entangled quantum spin liquid (QSL) [K. Kitagawa et al., Nature {\bf 554}, 341 (2018)], albeit its connection to Kitaev QSL has not been yet identified. To unveil the related Kitaev physics, ... More

The transition from amorphous to crystalline in Al/Zr multilayersNov 27 2012The amorphous-to-crystalline transition in Al(1.0%wtSi)/Zr and Al(Pure)/Zr multilayers grown by direct-current magnetron sputtering system has been characterized over a range of Al layer thicknesses (1.0-5.0 nm) by using a series of complementary measurements ... More

Realization of Kondo chain in CeCo$_2$Ga$_8$Jan 03 2019Mar 01 2019We revisited the anisotropy of the heavy-fermion material CeCo$_2$Ga$_8$ by measuring the electrical resistivity and magnetic susceptibility along all the principal $\mathbf{a}$-, $\mathbf{b}$- and $\mathbf{c}$-axes. Resistivity along $\mathbf{c}$-axis ... More

Riemannian Median and Its EstimationNov 18 2009In this paper, we define the geometric median of a probability measure on a Riemannian manifold, give its characterization and a natural condition to ensure its uniqueness. In order to calculate the median in practical cases, we also propose a subgradient ... More

Existence of Strong and Nontrivial Solutions to Strongly Coupled Elliptic SystemsMar 17 2016We establish the existence of strong solutions to a class of nonlinear strongly coupled and uniform elliptic systems consisting of more than two equations. The existence of of nontrivial and non constant solutions (or pattern formations) will also be ... More

Ni Foam Assisted Synthesis of High Quality Hexagonal Boron Nitride with Large Domain Size and Controllable ThicknessMar 07 2018The scalable synthesis of two-dimensional (2D) hexagonal boron nitride (h-BN) is of great interest for its numerous applications in novel electronic devices. Highly-crystalline h-BN films, with single-crystal sizes up to hundreds of microns, are demonstrated ... More

Development of a highly pixelated direct charge sensor, Topmetal-I, for ionizing radiation imagingJul 14 2014Using industrial standard 0.35{\mu}m CMOS Integrated Circuit process, we realized a highly pixelated sensor that directly collects charge via metal nodes placed on the top of each pixel and forms two dimensional images of charge cloud distribution. The ... More

Some properties of Fréchet medians in Riemannian manifoldsOct 18 2011Dec 03 2011The consistency of Fr\'echet medians is proved for probability measures in proper metric spaces. In the context of Riemannian manifolds, assuming that the probability measure has more than a half mass lying in a convex ball and verifies some concentration ... More