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Results for "Le Wang"

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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
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
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
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
Sketch-based 3D Shape Retrieval using Convolutional Neural NetworksApr 14 2015Retrieving 3D models from 2D human sketches has received considerable attention in the areas of graphics, image retrieval, and computer vision. Almost always in state of the art approaches a large amount of "best views" are computed for 3D models, with ... More
Learning to Optimize via Wasserstein Deep Inverse Optimal ControlMay 22 2018We study the inverse optimal control problem in social sciences: we aim at learning a user's true cost function from the observed temporal behavior. In contrast to traditional phenomenological works that aim to learn a generative model to fit the behavioral ... More
Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network ApproachDec 07 2018This paper concerns with the production of synthetic phasor measurement unit (PMU) data for research and education purposes. Due to the confidentiality of real PMU data and no public access to the real power systems infrastructure information, the lack ... More
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information RetrievalOct 30 2018Pseudo-relevance feedback (PRF) is commonly used to boost the performance of traditional information retrieval (IR) models by using top-ranked documents to identify and weight new query terms, thereby reducing the effect of query-document vocabulary mismatches. ... 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
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data StreamsJul 20 2016Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. In this paper, we present a novel framework that supports anomaly detection ... 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
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
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
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
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
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
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
Virtualization of Multi-Cell 802.11 Networks: Association and Airtime ControlAug 14 2015This paper investigates the virtualization and optimization of a multi-cell WLAN. We consider the station (STA)-access point (AP) association and airtime control for virtualized 802.11 networks to provide service customization and fairness across multiple ... More
The Gate Voltage Control of Long DNA Coherent Transport on Insulator SurfaceJun 26 2015We investigate the coherent transport properties of a DNA chain on a substrate which is subjected to a uniform electric field perpendicular to the surface. On the basis of the effective tight-binding model which simulates charge transport through DNA, ... More
Joint Design of Overlaid Communication Systems and Pulsed RadarsMar 29 2017Sep 14 2017The focus of this paper is on co-existence between a communication system and a pulsed radar sharing the same bandwidth. Based on the fact that the interference generated by the radar onto the communication receiver is intermittent and depends on the ... More
Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of OutliersSep 08 2016Mar 21 2017We 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
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
Deep Coevolutionary Network: Embedding User and Item Features for RecommendationSep 13 2016Feb 28 2017Recommender 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. The ... More
Critical Connectivity and Fastest Convergence Rates of Distributed Consensus with Switching Topologies and Additive NoisesOct 23 2015Apr 25 2017Consensus conditions and convergence speeds are crucial for distributed consensus algorithms of networked systems. Based on a basic first-order average-consensus protocol with time-varying topologies and additive noises, this paper first investigates ... More
A Mean-Variance Control Framework for Platoon Control Problems: Weak Convergence Results and Applications on Reduction of ComplexityJan 17 2014This paper introduces a new approach of treating platoon systems using mean-variance control formulation. The underlying system is a controlled switching diffusion in which the random switching process is a continuous-time Markov chain. This switching ... More
Dephasing-assisted parameter estimation in the presence of dynamical decouplingJun 04 2013We study the dephasing-assisted precision of parameter estimation (PPE) enhancement in atom interferometer under dynamical decoupling (DD) pulses. Through calculating spin squeezing (SS) and quantum Fisher information (QFI), we find that dephasing noise ... 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
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
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed LoopMar 30 2016May 22 2018Recently, there is a surge of interest in using point processes to model continuous-time user activities. This framework has resulted in novel models and improved performance in diverse applications. However, most previous works focus on the "open loop" ... More
Multi-carrier transport in ZrTe5 filmJun 05 2018The single layer of Zirconium pentatelluride (ZrTe5) has been predicted to be a large-gap two-dimensional (2D) topological insulator, which has attracted particular attention in the topological phase transitions and potential device application. Here ... More
Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy TransferNov 29 2017By means of network densification, ultra dense networks (UDNs) can efficiently broaden the network coverage and enhance the system throughput. In parallel, unmanned aerial vehicles (UAVs) communications and networking have attracted increasing attention ... 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
Hybrid Analog-Digital Beamforming for Multiuser MIMO Millimeter Wave Relay SystemsNov 11 2015This paper proposed new hybrid, analog-digital, beamforming for a multiuser millimeter wave (mm-wave) relay system. For this system, we consider a sum rate maximization problem. The proposed hybrid beamforming is designed indirectly by considering a sum ... 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
Control and controllability of nonlinear dynamical networks: a geometrical approachSep 23 2015In spite of the recent interest and advances in linear controllability of complex networks, controlling nonlinear network dynamics remains to be an outstanding problem. We develop an experimentally feasible control framework for nonlinear dynamical networks ... 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
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
Deep convolutional networks for automated detection of posterior-element fractures on spine CTJan 29 2016Injuries of the spine, and its posterior elements in particular, are a common occurrence in trauma patients, with potentially devastating consequences. Computer-aided detection (CADe) could assist in the detection and classification of spine fractures. ... More
Determination of the nuclear incompressibility from the rapidity-dependent elliptic flow in heavy-ion collisions at beam energies 0.4\emph{A} - 1.0\emph{A} GeVApr 12 2018Heavy-ion-collision measurements in combination with transport model simulations serve as important tools for extracting the nuclear incompressibility. However, uncertainties in transport models (or model dependence) partly affect the reliability of the ... 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
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
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
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
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
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
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
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
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
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
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
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
On an extension of Lesche stabilityOct 21 2008In this paper, we give a new method for proving the Lesche stability of several functionals(Incomplete entropy, Tsallis entropy, \kappa - entropy, Quantum-Group entropy). We prove also that the Incomplete q - expectation value and Renyi entropy for (0 ... More
Attention-based Temporal Weighted Convolutional Neural Network for Action RecognitionMar 19 2018Research in human action recognition has accelerated significantly since the introduction of powerful machine learning tools such as Convolutional Neural Networks (CNNs). However, effective and efficient methods for incorporation of temporal information ... More
Nonmaximally entangled states can be better for quantum correlation distribution and storageSep 16 2013Sep 20 2013For carrying out many quantum information protocols entanglement must be established in advance between two distant parties. Practically, inevitable interaction of entangled subsystems with their environments during distribution and storage will result ... 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
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolutionJul 08 2015Apr 01 2016Information diffusion in online social networks is affected by the underlying network topology, but it also has the power to change it. Online users are constantly creating new links when exposed to new information sources, and in turn these links are ... More
Many-to-one remote information concentration for qudits and multipartite entanglementFeb 04 2013Jul 21 2013Telecloning and its reverse process, referred to as remote information concentration(RIC), have attracted considerable interest because of their potential applications in quantum-information processing. We here present a general scheme for RIC in d-level ... More
A Prototype of Upgrading Bepc Control SystemNov 13 2001Dec 13 2001We will use EPICS toolkit [1] to build a prototype for upgrading BEPC control system. The purposes are for the following three aspects: (1) Setup a network based distributed control system with EPICS. (2) Study some front-end control technology. (3) Merge ... 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
Anonymous and Adaptively Secure Revocable IBE with Constant Size Public ParametersOct 24 2012In Identity-Based Encryption (IBE) systems, key revocation is non-trivial. This is because a user's identity is itself a public key. Moreover, the private key corresponding to the identity needs to be obtained from a trusted key authority through an authenticated ... 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
Possible canonical distributions for finite systems with nonadditive energyNov 12 2008It is shown that a small system in thermodynamic equilibrium with a finite thermostat can have a q-exponential probability distribution which closely depends on the energy nonextensivity and the particle number of the thermostat. The distribution function ... More
Entanglement-enhanced two-photon delocalization in a coupled-cavity arrayNov 30 2014We study transport properties of two entangled photons which are initially injected into two nearest-neighbor coupling cavities in a one-dimensional coupled-cavity array (CCA). It is found that photonic transport dynamics in the two-photon CCA exhibits ... More
Robust d-wave pairing symmetry in multi-orbital cobalt high temperature superconductorsFeb 24 2017The pairing symmetry of the newly proposed cobalt high temperature (high-$T_c$) superconductors formed by vertex shared cation-anion tetrahedral complexes is studied by the methods of mean field, random phase approximation (RPA) and functional renormalization ... More
Quantum algorithm for association rules miningDec 08 2015Jan 26 2016Association rules mining is one of the most important problems in knowledge discovery and data mining. The goal of it is to acquire consumption habits of customers by discovering the relationships between items from a transaction database that has a large ... More
Semi-Supervised Convolutional Neural Networks for Human Activity RecognitionJan 22 2018Labeled data used for training activity recognition classifiers are usually limited in terms of size and diversity. Thus, the learned model may not generalize well when used in real-world use cases. Semi-supervised learning augments labeled examples with ... 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
Interference Removal for Radar/Communication Co-existence: the Random Scattering CaseFeb 09 2019In this paper we consider an un-cooperative spectrum sharing scenario, wherein a radar system is to be overlaid to a pre-existing wireless communication system. Given the order of magnitude of the transmitted powers in play, we focus on the issue of interference ... 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
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
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
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient PriorsMar 20 2018Jul 16 2018Rain streak removal is an important issue in outdoor vision systems and has recently been investigated extensively. In this paper, we propose a novel video rain streak removal approach FastDeRain, which fully considers the discriminative characteristics ... More
Deposition and characterization of TiZrV-Pd thin films by dc magnetron sputteringMar 31 2015TiZrV film is mainly applied in the ultra-high vacuum pipe of storage ring. Thin film coatings of palladium which was added onto the TiZrV film to increase the service life of nonevaporable getters and enhance pumping speed for H2, was deposited on the ... 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 model for meme popularity growth in social networking systems based on biological principle and human interest dynamicsFeb 01 2019We analyze five big data sets from a variety of online social networking (OSN) systems and find that the growth dynamics of meme popularity exhibit characteristically different behaviors. For example, there is linear growth associated with online recommendation ... 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
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
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
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
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
Semi-Supervised Self-Taught Deep Learning for Finger Bones SegmentationMar 12 2019Segmentation stands at the forefront of many high-level vision tasks. In this study, we focus on segmenting finger bones within a newly introduced semi-supervised self-taught deep learning framework which consists of a student network and a stand-alone ... More
Raman phonons in the ferroelectric-like metal LiOsO$_3$Mar 08 2017The novel ferroelectric-like structural transition observed in metallic LiOsO$_3$ [Y. Shi et al., Nat. Mater. 12, 1024 (2013)], has invoked many theoretical and experimental interests. In this work, we have performed polarized and temperature-dependent ... 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
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
Broken Dynamic Symmetry and Phase Transition PrecursorFeb 22 2013Symmetry breaking is a central concept of Landau phase transition theory, which, however, only considers time-averaged static symmetry of crystal lattice while neglects dynamic symmetry of lattice vibrations thus fails to explain the ubiquitous transformation ... More
Generation and Hall effect of skyrmions enabled via using nonmagnetic point contactsFeb 19 2019To enable functional skyrmion based spintronic devices, the controllable generation and manipulation of skyrmions is essential. While the generation of skyrmions by using a magnetic geometrical constriction has already been demonstrated, this approach ... 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
Regular Decomposition of Ordinarity in Generic Exponential SumsAug 22 2012Dec 24 2012In papers published in 1993 and 2004 Wan establishes a decomposition theory for the generic Newton polygon associated to a family of $L$-functions of $n$-dimensional exponential sums over finite fields. In this work we generalize the star, parallel hyperplane ... More
Carleson measures and Toeplitz operators on small Bergman spaces on the ballSep 18 2018We study the Carleson measures and the Toeplitz operators on the class of so-called small weighted Bergman spaces, introduced recently by Seip. A characterization of Carleson measures is obtained which extends Seip's results from the unit disc of $\mathbb ... More