Results for "Li Tang"

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Accurate front capturing asymptotic preserving scheme for nonlinear gray radiative transfer equationNov 14 2018We develop an asymptotic preserving scheme for the gray radiative transfer equation, which under a diffusive scaling results in a nonlinear diffusion equation for the material temperature. To alleviate the restriction on time step and capture the correct ... More
Coded Caching for Networks with the Resolvability PropertyMay 04 2016Coded caching is a recently proposed technique for dealing with large scale content distribution over the Internet. As in conventional caching, it leverages the presence of local caches at the end users. However, it considers coding in the caches and/or ... More
Biderivations of the twisted Heisenberg-Virasoro algebra and their applicationsMar 31 2017In this paper, the biderivations without the skew-symmetric condition of the twisted Heisenberg-Virasoro algebra are presented. We find some non-inner and non-skew-symmetric biderivations. As applications, the characterizations of the forms of linear ... More
Optimal Exact Repair Strategy for the Parity Nodes of the $(k+2,k)$ Zigzag CodeMar 20 2015In this paper, we reinterprets the $(k+2,k)$ Zigzag code in coding matrix and then propose an optimal exact repair strategy for its parity nodes, whose repair disk I/O approaches a lower bound derived in this paper.
Interplay of insurance and financial risks in a discrete-time model with strongly regular variationJul 28 2015Consider an insurance company exposed to a stochastic economic environment that contains two kinds of risk. The first kind is the insurance risk caused by traditional insurance claims, and the second kind is the financial risk resulting from investments. ... More
Optimal Stochastic Control with Recursive Cost Functionals of Stochastic Differential Systems Reflected in a DomainFeb 07 2012Aug 23 2013In this paper we study the optimal stochastic control problem for stochastic differential systems reflected in a domain. The cost functional is a recursive one, which is defined via generalized backward stochastic differential equations developed by Pardoux ... More
lfda: An R Package for Local Fisher Discriminant Analysis and VisualizationDec 11 2016Local Fisher discriminant analysis is a localized variant of Fisher discriminant analysis and it is popular for supervised dimensionality reduction method. lfda is an R package for performing local Fisher discriminant analysis, including its variants ... More
Local Strict Comparison Theorem and Converse Comparison Theorems for Reflected Backward Stochastic Differential EquationsDec 31 2006A local strict comparison theorem and some converse comparison theorems are proved for reflected backward stochastic differential equations under suitable conditions.
A CW superconducting linac as the proton driver for a medium baseline neutrino beam in ChinaDec 30 2013In a long-term planning for neutrino experiments in China, a medium baseline neutrino beam is proposed which uses a CW superconducting linac of 15 MW in beam power as the proton driver. The linac will be based on the technologies which are under development ... More
Opto Propeller Effect on Chiral Micro-RotorsSep 04 2018Manipulating mega biomolecules and micro-devices with light is highly appealing. Opto driving torque can propel micro-rotors to translational motion in viscous liquid, and then separate microsystems according to their handedness. We study the torque of ... More
Accumulation of Microswimmers due to Their Collisions with a SurfaceDec 22 2008In this letter we propose a kinematic model to show how collisions with a surface and rotational Brownian motion give rise to the accumulation of micro-swimmers near a surface. In this model, an elongated microswimmer invariably travels parallel to the ... More
Generalized metric $n$-Leibniz algebras and generalized orthogonal representation of metric Lie algebrasSep 03 2018We introduce the notion of a generalized metric n-Leibniz algebra and show that there is a one-to-one correspondence between generalized metric n-Leibniz algebras and faithful generalized orthogonal representations of metric Lie algebras (called Lie triple ... More
Optimal Surviving Strategy for Drifted Brownian Motions with AbsorptionDec 14 2015Aug 24 2017We study the 'Up the River' problem formulated by Aldous (2002), where a unit drift is distributed among a finite collection of Brownian particles on $ \mathbb{R}_+ $, which are annihilated once they reach the origin. Starting $ K $ particles at $ x=1 ... More
Testing the anisotropy of the Universe with the distance duality relationJul 03 2017Nov 19 2018The distance duality relation (DDR) is valid in Riemannian spacetime. The astronomical data hint that the universe may have certain preferred direction. If the universe is described by anisotropic cosmological models based on Riemannian spacetime, then ... More
Comparing the dark matter models, modified Newtonian dynamics and modified gravity in accounting for the galaxy rotation curvesMar 18 2017We compare six models (including the baryonic model, two dark matter models, two modified Newtonian dynamics models and one modified gravity model) in accounting for the galaxy rotation curves. For the dark matter models, we assume NFW profile and core-modified ... More
When reputation enforces evolutionary cooperation in unreliable MANETsNov 02 2014In self-organized mobile ad hoc networks (MANETs), network functions rely on cooperation of self-interested nodes, where a challenge is to enforce their mutual cooperation. In this paper, we study cooperative packet forwarding in a one-hop unreliable ... More
Testing the variation of the fine structure constant with strongly lensed gravitational wavesSep 03 2018The possible variation of the electromagnetic fine structure constant $\alpha_e$ on cosmological scales arouses great interests in recent years. The strongly lensed gravitational waves and the electromagnetic counterparts could be used to test this variation. ... More
Introducing Memory and Association Mechanism into a Biologically Inspired Visual ModelJul 04 2013A famous biologically inspired hierarchical model firstly proposed by Riesenhuber and Poggio has been successfully applied to multiple visual recognition tasks. The model is able to achieve a set of position- and scale-tolerant recognition, which is a ... More
Towards Distribution-Free Multi-Armed Bandits with Combinatorial StrategiesJul 20 2013Oct 05 2014In this paper we study a generalized version of classical multi-armed bandits (MABs) problem by allowing for arbitrary constraints on constituent bandits at each decision point. The motivation of this study comes from many situations that involve repeatedly ... More
Funding acknowledgment analysis:Queries and CaveatsJan 03 2016Thomson Reuters' Web of Science (WoS) began systematically collecting acknowledgment information in August 2008. Since then, bibliometric analysis of funding acknowledgment (FA) has been growing and has aroused intense interest and attention from both ... More
Missing author address information in Web of Science-An explorative studyJul 26 2018Bibliometric analysis is increasingly used to evaluate and compare research performance across geographical regions. However, the problem of missing information from author addresses has not attracted sufficient attention from scholars and practitioners. ... More
Unsupervised Disentangled Representation Learning with Analogical RelationsApr 25 2018Learning the disentangled representation of interpretable generative factors of data is one of the foundations to allow artificial intelligence to think like people. In this paper, we propose the analogical training strategy for the unsupervised disentangled ... More
A phylogenetic scan test on Dirichlet-tree multinomial model for microbiome dataOct 27 2016Mar 17 2017In this paper we introduce the phylogenetic scan test (PhyloScan) for investigating cross-group differences in microbiome compositions using the Dirichlet-tree multinomial (DTM) model. DTM models the microbiome data through a cascade of independent local ... More
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform ModulationsFeb 14 2019Non-stationary blind super-resolution is an extension of the traditional super-resolution problem, which deals with the problem of recovering fine details from coarse measurements. The non-stationary blind super-resolution problem appears in many applications ... More
Tune-out wavelengths for potassiumFeb 26 2013The five longest tune-out wavelengths for the potassium atom are determined using a relativistic structure model which treats the atom as consisting of a single valence electron moving outside a closed shell core. The importance of various terms in the ... More
The stability and rapid exponential stabilization of heat equation in non-cylindrical domainDec 18 2017This paper is devoted to the study of the stability and stabilizability of heat equation in non-cylindrical domain. The interesting thing is that there is a class of initial values such that the system is no longer exponentially stable. The system is ... More
Leveraging tagging and rating for recommendation: RMF meets weighted diffusion on tripartite graphsNov 01 2016Recommender systems (RSs) have been a widely exploited approach to solving the information overload problem. However, the performance is still limited due to the extreme sparsity of the rating data. With the popularity of Web 2.0, the social tagging system ... More
Image Based Camera Localization: an OverviewOct 12 2016May 03 2018Recently, virtual reality, augmented reality, robotics, autonomous driving et al attract much attention of both academic and industrial community, in which image based camera localization is a key task. However, there has not been a complete review on ... More
Enabling All-Node-Repair in Minimum Storage Regenerating CodesApr 26 2016We consider the problem of constructing exact-repair minimum storage regenerating (MSR) codes, for which both the systematic nodes and parity nodes can be repaired optimally. Although there exist several recent explicit high-rate MSR code constructions ... More
An Inter-User Interference Suppression Method in Full-Duplex NetworksOct 12 2016Oct 14 2016Considering a full-duplex network comprised of a full-duplex (FD) base station and two half-duplex (HD) users, one user transmits on the uplink channel and the other receives through the downlink channel on the same frequency. The uplink user will generate ... More
$C^{3}LES$: Codes for Coded Computation that Leverage StragglersSep 17 2018In distributed computing systems, it is well recognized that worker nodes that are slow (called stragglers) tend to dominate the overall job execution time. Coded computation utilizes concepts from erasure coding to mitigate the effect of stragglers by ... More
Gröbner-Shirshov bases for some Lie algebrasMay 15 2013We give Gr\"obner-Shirshov bases for Drinfeld-Kohno Lie algebra $\textbf{L}_{n}$ in \cite{[Et]} and Kukin Lie algebra $A_P$ in \cite{Kukin}, where $P$ is a semigroup. As applications, we show that as $\mathbb{Z}$-module $\textbf{L}_{n}$ is free and a ... More
An approximation result for a class of stochastic heat equations with colored noiseNov 21 2016We show that a large class of stochastic heat equations can be approximated by systems of interacting stochastic differential equations. As a consequence, we prove various comparison principles extending earlier results. Among other things, our results ... More
Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power UnitsMar 14 2019Deep neural networks with rectified linear units (ReLU) get very popular recently due to its universal representation power and successful applications. In this paper, we show that deep networks with rectified power units (RePU) can give better approximations ... More
Probing Direct and Indirect Unitarity Violation in Future Accelerator Neutrino FacilitiesAug 16 2017The possible existence of light and heavy sterile neutrinos may give rise to direct and indirect unitarity violation of the $3\times3$ lepton mixing matrix respectively. In the current work we study the potential of future accelerator neutrino facilities ... More
Lagrangian Mechanics and Reduction on Fibered ManifoldsOct 31 2015Mar 22 2017This paper develops a generalized formulation of Lagrangian mechanics on fibered manifolds, together with a reduction theory for symmetries corresponding to Lie groupoid actions. As special cases, this theory includes not only Lagrangian reduction (including ... More
General Greenberger-Horne-Zeilinger theorem of cluster statesDec 29 2008In this paper, we show that there are eight distinct forms of the Greenberger-Horne-Zeilinger (GHZ) argument for the four-qubit cluster state $|\phi_4>$ and forty eight distinct forms for the five-qubit cluster state $|\phi_5>$ in the case of the one-dimensional ... More
Error analysis and lattice improvement for the C-ADS Injector-IJul 30 2013Aug 27 2013The injector (Scheme-I) of the C-ADS linac is a 10-mA 10-MeV proton linac working in CW mode. It is mainly comprised of a 3.2-MeV room-temperature 4-vane RFQ and twelve superconducting single-spoke cavities housed in a long cryostat. Error analysis including ... More
Optimal Power Allocation over Multiple Identical Gilbert-Elliott ChannelsMar 27 2013We study the fundamental problem of power allocation over multiple Gilbert-Elliott communication channels. In a communication system with time varying channel qualities, it is important to allocate the limited transmission power to channels that will ... More
Study on perturbation schemes for achieving the real PMNS matrix from various symmetric texturesMar 07 2013The PMNS matrix displays an obvious symmetry, but not exact. There are several textures proposed in literature, which possess various symmetry patterns and seem to originate from different physics scenarios at high energy scales. To be consistent with ... More
A Survey on Spark Ecosystem for Big Data ProcessingNov 18 2018With the explosive increase of big data in industry and academic fields, it is necessary to apply large-scale data processing systems to analysis Big Data. Arguably, Spark is state of the art in large-scale data computing systems nowadays, due to its ... More
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-ResolutionMay 24 2018Recently, deep neural networks have achieved impressive performance in terms of both reconstruction accuracy and efficiency for single image super-resolution (SISR). However, the network model of these methods is a fully convolutional neural network, ... More
Optimal Ternary Cyclic Codes with Minimum Distance Four and FiveSep 05 2013Cyclic codes are an important subclass of linear codes and have wide applications in data storage systems, communication systems and consumer electronics. In this paper, two families of optimal ternary cyclic codes are presented. The first family of cyclic ... More
An image compression and encryption scheme based on deep learningAug 16 2016Oct 09 2016Stacked Auto-Encoder (SAE) is a kind of deep learning algorithm for unsupervised learning. Which has multi layers that project the vector representation of input data into a lower vector space. These projection vectors are dense representations of the ... More
Heterogeneity-aware Gradient Coding for Straggler ToleranceJan 27 2019Gradient descent algorithms are widely used in machine learning. In order to deal with huge volume of data, we consider the implementation of gradient descent algorithms in a distributed computing setting where multiple workers compute the gradient over ... More
An image compression and encryption scheme based on deep learningAug 16 2016Stacked Auto-Encoder (SAE) is a kind of deep learning algorithm for unsupervised learning. Which has multi layers that project the vector representation of input data into a lower vector space. These projection vectors are dense representations of the ... More
Mesoscale modeling of phase transition dynamics of thermoresponsive polymersApr 27 2015We present a non-isothermal mesoscopic model for investigation of the phase transition dynamics of thermoresponsive polymers. Since this model conserves energy in the simulations, it is able to correctly capture not only the transient behavior of polymer ... More
Dense Captioning with Joint Inference and Visual ContextNov 21 2016Aug 07 2017Dense captioning is a newly emerging computer vision topic for understanding images with dense language descriptions. The goal is to densely detect visual concepts (e.g., objects, object parts, and interactions between them) from images, labeling each ... More
Data Unfolding with Wiener-SVD MethodMay 09 2017Sep 30 2017Data unfolding is a common analysis technique used in HEP data analysis. Inspired by the deconvolution technique in the digital signal processing, a new unfolding technique based on the SVD technique and the well-known Wiener filter is introduced. The ... More
The equivalence between doubly nonnegative relaxation and semidefinite relaxation for binary quadratic programming problemsNov 23 2012It has recently been shown (Burer, Math. Program Ser. A 120:479-495, 2009) that a large class of NP-hard nonconvex quadratic programming problems can be modeled as so called completely positive programming problems, which are convex but still NP-hard ... More
Deep Imbalanced Learning for Face Recognition and Attribute PredictionJun 01 2018Data for face analysis often exhibit highly-skewed class distribution, i.e., most data belong to a few majority classes, while the minority classes only contain a scarce amount of instances. To mitigate this issue, contemporary deep learning methods typically ... More
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent SystemsMay 13 2018Multiagent coordination in cooperative multiagent systems (MASs) has been widely studied in both fixed-agent repeated interaction setting and the static social learning framework. However, two aspects of dynamics in real-world multiagent scenarios are ... More
Projective dimension and regularity of edge ideal of some weighted oriented graphsFeb 18 2018In this paper we provide some exact formulas for the projective dimension and the regularity of edge ideals associated to vertex weighted rooted forests and oriented cycles. As some consequences, we give some exact formulas for the depth of these ideals. ... More
Multi-session Map Construction in Outdoor Dynamic EnvironmentJul 21 2018Map construction in large scale outdoor environment is of importance for robots to robustly fulfill their tasks. Massive sessions of data should be merged to distinguish low dynamics in the map, which otherwise might debase the performance of localization ... More
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal PredictionJan 24 2019Feb 25 2019Spatial-temporal prediction is a fundamental problem for constructing smart city, which is useful for tasks such as traffic control, taxi dispatching, and environmental policy making. Due to data collection mechanism, it is common to see data collection ... More
Enabling Sparse Winograd Convolution by Native PruningFeb 28 2017Oct 13 2017Sparse methods and the use of Winograd convolutions are two orthogonal approaches, each of which significantly accelerates convolution computations in modern CNNs. Sparse Winograd merges these two and thus has the potential to offer a combined performance ... More
Width-amplitude relation of Bernstein-Greene-Kruskal solitary wavesMar 05 2003Oct 23 2003Inequality width-amplitude relations for three-dimensional Bernstein-Greene-Kruskal solitary waves are derived for magnetized plasmas. Criteria for neglecting effects of nonzero cyclotron radius are obtained. We emphasize that the form of the solitary ... More
Phase competition in a one-dimensional three-orbital Hubbard-Holstein modelApr 22 2018We study the interplay between the electron-phonon (e-ph) and on-site electron-electron (e-e) interactions in a three-orbital Hubbard-Holstein model on an extended one-dimensional lattice using determinant quantum Monte Carlo. For weak e-e and e-ph interactions, ... More
Tuning the dipole-dipole interaction in a quantum gas with a rotating magnetic fieldMar 28 2018We demonstrate the tuning of the magnetic dipole-dipole interaction (DDI) within a dysprosium Bose-Einstein condensate by rapidly rotating the orientation of the atomic dipoles. The tunability of the dipolar mean-field energy manifests as a modified gas ... More
Modal Regression based Atomic Representation for Robust Face RecognitionNov 05 2017Representation based classification (RC) methods such as sparse RC (SRC) have shown great potential in face recognition in recent years. Most previous RC methods are based on the conventional regression models, such as lasso regression, ridge regression ... More
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter LearningAug 29 2016Sep 09 2016Correlation filtering based tracking model has received lots of attention and achieved great success in real-time tracking, however, the lost function in current correlation filtering paradigm could not reliably response to the appearance changes caused ... More
A DCT And SVD based Watermarking Technique To Identify TagFeb 10 2015With the rapid development of the multimedia,the secure of the multimedia is get more concerned. as far as we know , Digital watermarking is an effective way to protect copyright. The watermark must be generally hidden does not affect the quality of the ... More
Newton polygons of cyclic covers of the projective line branched at three pointsMay 11 2018Sep 18 2018We review the Shimura-Taniyama method for computing the Newton polygon of an abelian variety with complex multiplication. We apply this method to cyclic covers of the projective line branched at three points. As an application, we produce multiple new ... More
Multispectral Pedestrian Detection via Simultaneous Detection and SegmentationAug 14 2018Multispectral pedestrian detection has attracted increasing attention from the research community due to its crucial competence for many around-the-clock applications (e.g., video surveillance and autonomous driving), especially under insufficient illumination ... More
Central Limit Theorems for Classical Multidimensional ScalingApr 02 2018Sep 26 2018Classical multidimensional scaling is a widely used method in dimensionality reduction and manifold learning. The method takes in a dissimilarity matrix and outputs a low-dimensional configuration matrix based on a spectral decomposition. In this paper, ... More
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUsJul 16 2018For a deep learning model, efficient execution of its computation graph is key to achieving high performance. Previous work has focused on improving the performance for individual nodes of the computation graph, while ignoring the parallelization of the ... More
Limits to single photon transduction by a single atom: Non-Markov theoryMay 19 2017Sep 27 2017Single atoms form a model system for understanding the limits of single photon detection. Here, we develop a non-Markov theory of single-photon absorption by a two-level atom to place limits on the absorption (transduction) time. We show the existence ... More
Skewless Network Clock SynchronizationAug 28 2012Aug 19 2013This paper examines synchronization of computer clocks connected via a data network and proposes a skewless algorithm to synchronize them. Unlike existing solutions, which either estimate and compensate the frequency difference (skew) among clocks or ... More
Deformations and their controlling cohomologies of $\mathcal{O}$-operatorsMar 25 2018$\mathcal{O}$-operators are important in broad areas in mathematics and physics, such as integrable systems, the classical Yang-Baxter equation, pre-Lie algebras and splitting of operads. In this paper, a deformation theory of $\mathcal{O}$-operators ... More
Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement LearningMar 02 2018In this paper, we focus on general-purpose Distributed Stream Data Processing Systems (DSDPSs), which deal with processing of unbounded streams of continuous data at scale distributedly in real or near-real time. A fundamental problem in a DSDPS is the ... More
Adversarial Network EmbeddingNov 21 2017Learning low-dimensional representations of networks has proved effective in a variety of tasks such as node classification, link prediction and network visualization. Existing methods can effectively encode different structural properties into the representations, ... More
Atomic Norm Minimization for Modal Analysis from Random and Compressed SamplesMar 02 2017Dec 21 2017Modal analysis is the process of estimating a system's modal parameters such as its natural frequencies and mode shapes. One application of modal analysis is in structural health monitoring (SHM), where a network of sensors may be used to collect vibration ... More
An accurate front capturing scheme for tumor growth models with a free boundary limitAug 28 2017We consider a class of tumor growth models under the combined effects of density-dependent pressure and cell multiplication, with a free boundary model as its singular limit when the pressure-density relationship becomes highly nonlinear. In particular, ... More
A Graph-based Push Service PlatformNov 29 2016It is well known that learning customers' preference and making recommendations to them from today's information-exploded environment is critical and non-trivial in an on-line system. There are two different modes of recommendation systems, namely pull-mode ... More
Spatial-Aware Non-Local Attention for Fashion Landmark DetectionMar 11 2019Fashion landmark detection is a challenging task even using the current deep learning techniques, due to the large variation and non-rigid deformation of clothes. In order to tackle these problems, we propose Spatial-Aware Non-Local (SANL) block, an attentive ... More
Edge Federation: Towards an Integrated Service Provisioning ModelFeb 25 2019Edge computing is a promising computing paradigm for pushing the cloud service to the network edge. To this end, edge infrastructure providers (EIPs) need to bring computation and storage resources to the network edge and allow edge service providers ... More
A Low-Complexity Encoding of Quasi-Cyclic Codes Based on Galois Fourier TransformJan 15 2013The encoding complexity of a general (en,ek) quasi-cyclic code is O[(e^2)(n-k)k]. This paper presents a novel low-complexity encoding algorithm for quasi-cyclic (QC) codes based on matrix transformation. First, a message vector is encoded into a transformed ... More
SpecWatch: A Framework for Adversarial Spectrum Monitoring with Unknown StatisticsOct 16 2017In cognitive radio networks (CRNs), dynamic spectrum access has been proposed to improve the spectrum utilization, but it also generates spectrum misuse problems. One common solution to these problems is to deploy monitors to detect misbehaviors on certain ... More
Bounded perturbation resilience of extragradient-type methods and their applicationsNov 02 2017Nov 16 2017In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving variational inequality (VI) problem in real Hilbert spaces. This is an important property of algorithms which guarantees ... More
Large-scale Distance Metric Learning with UncertaintyMay 25 2018Distance metric learning (DML) has been studied extensively in the past decades for its superior performance with distance-based algorithms. Most of the existing methods propose to learn a distance metric with pairwise or triplet constraints. However, ... More
Newton polygon stratification of the Torelli locus in PEL-type Shimura varietiesNov 01 2018We study the intersection of the Torelli locus with the Newton polygon stratification of the modulo $p$ reduction of certain PEL-type Shimura varieties. We develop a clutching method to show that the intersection of the Torelli locus with some Newton ... More
An Efficient Optimal Algorithm for the Successive Minima ProblemOct 20 2016Nov 04 2018In many applications including integer-forcing linear multiple-input and multiple-output (MIMO) receiver design, one needs to solve a successive minima problem (SMP) on an $n$-dimensional lattice to get an optimal integer coefficient matrix $\A^\star\in ... More
Analysis and computation of some tumor growth models with nutrient: from cell density models to free boundary dynamicsFeb 02 2018In this paper, we study the tumor growth equation along with various models for the nutrient component, including the \emph{in vitro} model and the \emph{in vivo} model. At the cell density level, the spatial availability of the tumor density $n$ is governed ... More
LocNet: Global localization in 3D point clouds for mobile vehiclesDec 06 2017Jul 10 2018Global localization in 3D point clouds is a challenging problem of estimating the pose of vehicles without any prior knowledge. In this paper, a solution to this problem is presented by achieving place recognition and metric pose estimation in the global ... More
Restudy on Dark Matter Time-Evolution in the Littlest Higgs model with T-parityNov 21 2007Nov 12 2008Following previous study, in the Littlest Higgs model (LHM), the heavy photon is supposed to be a possible dark matter candidate and its relic abundance of the heavy photon is estimated in terms of the Boltzman-Lee-Weinberg time-evolution equation. The ... More
Gas infall in the massive star formation core G192.16-3.84Oct 03 2018Previous observations have revealed an accretion disk and outflow motion in high-mass star-forming region G192.16-3.84. While collapse have not been reported before. We present here molecular line and continuum observations toward massive core G192.16-3.84 ... More
RGB-T Object Tracking:Benchmark and BaselineMay 23 2018RGB-Thermal (RGB-T) object tracking receives more and more attention due to the strongly complementary benefits of thermal information to visible data. However, RGB-T research is limited by lacking a comprehensive evaluation platform. In this paper, we ... More
Evaluation of Optical Magnitude of Deep Space SpacecraftDec 10 2007Optical-electric technology can measure the tangential position and velocity of spacecraft. To know the feasibility of the use of optical-electric technology, it is necessary to estimate the magnitude of spacecraft first. Since the spacecrafts are non-self-illumination ... More
From nothing to something: discrete integrable systemsJan 28 2012Jul 27 2014Chinese ancient sage Laozi said that everything comes from `nothing'. Einstein believes the principle of nature is simple. Quantum physics proves that the world is discrete. And computer science takes continuous systems as discrete ones. This report is ... More
Observation of Fundamental Thermal Noise in Optical Fibers down to Infrasonic FrequenciesDec 09 2015The intrinsic thermal noise in optical fibers is the ultimate limit of fiber-based systems. However, at infrasonic frequencies, the spectral behavior of the intrinsic thermal noise remains unclear so far. We present the measurements of the fundamental ... More
Entanglement created by spontaneously generated coherenceOct 06 2010Jan 01 2011We propose a scheme able to generate on demand a steady-state entanglement between two non-degenerate cavity modes. The scheme relies on the interaction of the cavity modes with driven two or three-level atoms which act as a coupler to build entanglement ... More
SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable ApproachNov 13 2018In this letter, we consider the varying detection environments to address the problem of detecting small targets within sea clutter. We first extract three simple yet practically discriminative features from the returned signals in the time and frequency ... More
Comprehensive proof of the Greenberger-Horne-Zeilinger Theorem for the four-qubit systemSep 22 2005Greenberger-Horne-Zeilinger (GHZ) theorem asserts that there is a set of mutually commuting nonlocal observables with a common eigenstate on which those observables assume values that refute the attempt to assign values only required to have them by the ... More
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic PredictionMar 03 2018Nov 03 2018Traffic prediction has drawn increasing attention in AI research field due to the increasing availability of large-scale traffic data and its importance in the real world. For example, an accurate taxi demand prediction can assist taxi companies in pre-allocating ... More
Attenuation of transcriptional bursting in mRNA transportJul 23 2009Due to the stochastic nature of biochemical processes, the copy number of any given type of molecule inside a living cell often exhibits large temporal fluctuations. Here, we develop analytic methods to investigate how the noise arising from a bursting ... More
Phonetic-attention scoring for deep speaker features in speaker verificationNov 08 2018Recent studies have shown that frame-level deep speaker features can be derived from a deep neural network with the training target set to discriminate speakers by a short speech segment. By pooling the frame-level features, utterance-level representations, ... More
Coronal EUV, QFP, and kink waves simultaneously launched during the course of jet-loop interactionJul 25 2018We present the observations of an extreme ultraviolet (EUV) wave, a quasi-periodic fast-propagating (QFP) magnetosonic wave, and a kink wave that were simultaneously associated with the impingement of a coronal jet upon a group of coronal loops. After ... More
CNN Based Adversarial Embedding with Minimum Alteration for Image SteganographyMar 24 2018Historically, steganographic schemes were designed in a way to preserve image statistics or steganalytic features. Since most of the state-of-the-art steganalytic methods employ a machine learning (ML) based classifier, it is reasonable to consider countering ... More
Quantifying Dark GasMar 09 2015A growing body of evidence has been supporting the existence of so-called "dark molecular gas" (DMG), which is invisible in the most common tracer of molecular gas, i.e., CO rotational emission. DMG is believed to be the main gas component of the intermediate ... More
Entangling two distant nanocavities via a waveguideMar 21 2011In this paper, we investigate the generation of continuous variable entanglement between two spatially-separate nanocavities mediated by a coupled resonator optical waveguide in photonic crystals. By solving the exact dynamics of the cavity system coupled ... More