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Convergence Rates Analysis of The Quadratic Penalty Method and Its Applications to Decentralized Distributed OptimizationNov 29 2017In this paper, we study a variant of the quadratic penalty method for linearly constrained convex problems, which has already been widely used but actually lacks theoretical justification. Namely, the penalty parameter steadily increases and the penalized ... More

Unconventional thermoelectric behaviors and enhancement of figure of merit in Rashba spintronic systemsJun 13 2015Thermoelectric transport in strongly spin-orbit coupled two-dimensional Rashba system is studied using the exact solution of the linearized Boltzmann equation. Some unusual transport behaviors are revealed. We show that the electrical conductivity takes ... More

S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-CutNov 09 2015One standard solution for analyzing large natural graphs is to adopt distributed computation on clusters. In distributed computation, graph partitioning (GP) methods assign the vertices or edges of a graph to different machines in a balanced way so that ... More

Lifted Proximal Operator MachinesNov 05 2018We propose a new optimization method for training feed-forward neural networks. By rewriting the activation function as an equivalent proximal operator, we approximate a feed-forward neural network by adding the proximal operators to the objective function ... More

Fast Reconstruction of High-qubit Quantum States via Low Rate MeasurementsJan 13 2017Jun 29 2017Due to the exponential complexity of the resources required by quantum state tomography (QST), people are interested in approaches towards identifying quantum states which require less effort and time. In this paper, we provide a tailored and efficient ... More

Thermoelectric response of spin polarization in Rashba spintronic systemsMay 31 2015Jan 17 2016Motivated by recent discovery of strongly spin-orbit coupled two-dimensional (2D) electron gas near the surface of Rashba semiconductors BiTeX (X=Cl, Br, I), we calculate thermoelectric responses of spin polarization in 2D Rashba model using an exact ... More

GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy information and annotation dataJan 20 2014Genome-wide association studies (GWAS) suggests that a complex disease is typically affected by many genetic variants with small or moderate effects. Identification of these risk variants remains to be a very challenging problem. Traditional approaches ... More

Computed Tomography Image Enhancement using 3D Convolutional Neural NetworkJul 18 2018Computed tomography (CT) is increasingly being used for cancer screening, such as early detection of lung cancer. However, CT studies have varying pixel spacing due to differences in acquisition parameters. Thick slice CTs have lower resolution, hindering ... More

User-Curated Image Collections: Modeling and RecommendationSep 18 2015Most state-of-the-art image retrieval and recommendation systems predominantly focus on individual images. In contrast, socially curated image collections, condensing distinctive yet coherent images into one set, are largely overlooked by the research ... More

Bouncing evolution in a model of loop quantum gravityApr 15 2019To understand the dynamics of loop quantum gravity, the deparametrized model of gravity coupled to a scalar field is studied in a simple case, where the graph underlying the spin network basis is one loop based at a single vertex. The Hamiltonian operator ... More

Stereo Visual Inertial LiDAR Simultaneous Localization and MappingFeb 27 2019Simultaneous Localization and Mapping (SLAM) is a fundamental task to mobile and aerial robotics. LiDAR based systems have proven to be superior compared to vision based systems due to its accuracy and robustness. In spite of its superiority, pure LiDAR ... More

R$^2$-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing ImagesFeb 16 2019Mar 30 2019Recently, the convolutional neural network has brought impressive improvements for object detection. However, detecting tiny objects in large-scale remote sensing images still remains challenging. First, the extreme large input size makes the existing ... More

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential EstimatorJul 04 2018Oct 17 2018In this paper, we propose a new technique named \textit{Stochastic Path-Integrated Differential EstimatoR} (SPIDER), which can be used to track many deterministic quantities of interest with significantly reduced computational cost. We apply SPIDER to ... More

Improving genetic risk prediction by leveraging pleiotropyApr 28 2013Aug 19 2013An important task of human genetics studies is to accurately predict disease risks in individuals based on genetic markers, which allows for identifying individuals at high disease risks, and facilitating their disease treatment and prevention. Although ... More

Statistical analysis of motion contrast in optical coherence tomography angiographySep 24 2015Nov 03 2015Optical coherence tomography angiography (Angio-OCT), mainly based on the temporal dynamics of OCT scattering signals, has found a range of potential applications in clinical and scientific research. Based on the model of random phasor sums, temporal ... More

A Capsule Network for Recommendation and Explaining What You Like and DislikeJul 01 2019User reviews contain rich semantics towards the preference of users to features of items. Recently, many deep learning based solutions have been proposed by exploiting reviews for recommendation. The attention mechanism is mainly adopted in these works ... More

Attention-based Group RecommendationApr 12 2018Jul 10 2018Group recommendation aims to recommend items for a group of users, e.g., recommending a restaurant for a group of colleagues. The group recommendation problem is challenging, in that a good model should understand the group decision making process appropriately: ... More

Experimental investigation of the uncertainty relations with coherent lightMar 05 2019Taking advantage of coherent light polarizations, we experimentally investigate the variance-based uncertainty relations and the optimal universal uncertainty relation. Different from measuring the individual quanta in most of the experiments, we examine ... More

HI Observations of Major-Merger Pairs at z = 0: atomic gas and star formationApr 10 2018Apr 11 2018We present a study of the HI gas content of a large K-band selected sample of 88 close major-merger pairs of galaxies (H-KPAIR) which were observed by $\it Herschel$. We obtained the 21 cm HI fine-structure emission line data for a total of 70 pairs from ... More

Coordinating Filters for Faster Deep Neural NetworksMar 28 2017Jul 25 2017Very large-scale Deep Neural Networks (DNNs) have achieved remarkable successes in a large variety of computer vision tasks. However, the high computation intensity of DNNs makes it challenging to deploy these models on resource-limited systems. Some ... More

A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWASMay 19 2013In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting for a complicated dependence structure among samples. Therefore, penalized ... More

Hierarchical Clustering Supported by Reciprocal Nearest NeighborsJul 09 2019Clustering is a fundamental analysis tool aiming at classifying data points into groups based on their similarity or distance. It has found successful applications in all natural and social sciences, including biology, physics, economics, chemistry, astronomy, ... More

Stationary state distribution and efficiency analysis of the Langevin equation via real or virtual dynamicsJul 15 2017Oct 22 2017Langevin dynamics has become a popular tool to simulate the Boltzmann equilibrium distribution. When the repartition of the Langevin equation involves the exact realization of the Ornstein-Uhlenbeck noise, in addition to the conventional density evolution, ... More

State of the Art and Prospects of Structured Sensing Matrices in Compressed SensingAug 07 2014Compressed sensing (CS) enables people to acquire the compressed measurements directly and recover sparse or compressible signals faithfully even when the sampling rate is much lower than the Nyquist rate. However, the pure random sensing matrices usually ... More

Nonaxisymmetric Rossby Vortex Instability with Toroidal Magnetic Fields in Radially Structured DisksJun 29 2009We investigate the global nonaxisymmetric Rossby vortex instability in a differentially rotating, compressible magnetized accretion disk with radial density structures. Equilibrium magnetic fields are assumed to have only the toroidal component. Using ... More

Non-Markovian Noise Characterization with the Transfer Tensor MethodMay 27 2019May 28 2019We propose simple protocols for performing quantum noise spectroscopy based on the method of transfer tensor maps (TTM), [Phys. Rev. Lett. 112, 110401 (2014)]. The TTM approach is a systematic way to deduce the memory kernel of a time-nonlocal quantum ... More

Episodic Training for Domain GeneralizationJan 31 2019Domain generalization (DG) is the challenging and topical problem of learning models that generalize to novel testing domain with different statistics than a set of known training domains. The simple approach of aggregating data from all source domains ... More

Adversarial Defense Through Network Profiling Based Path ExtractionApr 17 2019May 09 2019Recently, researchers have started decomposing deep neural network models according to their semantics or functions. Recent work has shown the effectiveness of decomposed functional blocks for defending adversarial attacks, which add small input perturbation ... More

High-responsivity vertical-illumination Si/Ge uni-traveling-carrier photodiodes based on silicon-on-insulator substrateNov 16 2015Si/Ge uni-traveling carrier photodiodes exhibit higher output current when space-charge effects are overcome and thermal effects are suppressed, which is highly beneficial for increasing the dynamic range of various microwave photonic systems and simplifying ... More

Cheating-Resilient Incentive Scheme for Mobile Crowdsensing SystemsJan 08 2017Mobile Crowdsensing is a promising paradigm for ubiquitous sensing, which explores the tremendous data collected by mobile smart devices with prominent spatial-temporal coverage. As a fundamental property of Mobile Crowdsensing Systems, temporally recruited ... More

A Robust Compressive Quantum State Tomography Algorithm Using ADMMJan 25 2014The possible state space dimension increases exponentially with respect to the number of qubits. This feature makes the quantum state tomography expensive and impractical for identifying the state of merely several qubits. The recent developed approach, ... More

Panther: Fast Top-k Similarity Search in Large NetworksApr 10 2015Apr 13 2015Estimating similarity between vertices is a fundamental issue in network analysis across various domains, such as social networks and biological networks. Methods based on common neighbors and structural contexts have received much attention. However, ... More

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT DevicesMay 20 2019Developing deep learning models for resource-constrained Internet-of-Things (IoT) devices is challenging, as it is difficult to achieve both good quality of results (QoR), such as DNN model inference accuracy, and quality of service (QoS), such as inference ... More

On Wilson's Theorem and Polignac ConjectureAug 02 2004We introduce Wilson's theorem and Clement's result and present a necessary and sufficient condition for p and p+2k to be primes where k is a positive integer. By using Simiov's Theorem, we derive an improved version of Clement's result and characterizations ... More

Effects of spontaneously generated coherence on resonance fluorescence from lateral triple quantum -dot moleculesOct 17 2013We investigate the spectrum of the resonance fluorescence from the lateral triple quantum dots controlled by voltage and obtain some interesting features such as controllable triple narrow peaks. In our system we use tunneling instead of coupling lasers, ... More

An Efficient Randomized Algorithm for Rumor Blocking in Online Social NetworksJan 09 2017Nov 08 2017Social networks allow rapid spread of ideas and innovations while the negative information can also propagate widely. When the cascades with different opinions reaching the same user, the cascade arriving first is the most likely to be taken by the user. ... More

An Anomalous Circular Photogalvanic Effect in the Weyl Semimetal TaAsDec 21 2016Mar 19 2017Weyl semimetal (WSM) is expected to be an ideal spintronic material owing to its spin currents carried by the bulk and surface states with spin-momentum locking. A photocurrent generation in noncentrosymmetric WSM was also predicted owing to its broken ... More

Local Gyrokinetic Study of Electrostatic Microinstabilities in Dipole PlasmasOct 31 2017Dec 19 2017A linear gyrokinetic particle-in-cell scheme, which is valid for arbitrary perpendicular wavelength $k_\perp\rho_i$ and includes the parallel dynamic along the field line, is developed to study the local electrostatic drift modes in point and ring dipole ... More

Neural Input Search for Large Scale Recommendation ModelsJul 10 2019Recommendation problems with large numbers of discrete items, such as products, webpages, or videos, are ubiquitous in the technology industry. Deep neural networks are being increasingly used for these recommendation problems. These models use embeddings ... More

On the Homology of the Space of Curves Immersed in The Sphere with Curvature Constrained to a Prescribed IntervalSep 14 2018While the topology of the space of all smooth immersed curves on the $2$-sphere $\mathbb{S}^2$ that start and end at given points in given directions is well known, it is an open problem to understand the homotopy type of its subspaces consisting of the ... More

On Bernoulli Numbers and Its PropertiesAug 06 2004Oct 10 2004In this survey paper, I first review the history of Bernoulli numbers, then examine the modern definition of Bernoulli numbers and the appearance of Bernoulli numbers in expansion of functions. I revisit some properties of Bernoulli numbers and the history ... More

Mini-Orange Spectrometer at CIAEJan 06 2016A Mini-Orange spectrometer used for in-beam measurements of internal conversion electrons, which consists of a Si(Li) detector and different sets of SmO$_5$ permanent magnets for filtering and transporting the conversion electrons to the Si(Li) detector, ... More

Classification of the Entangled States $2 \times M \times N$Dec 31 2009We extend the matrix decomposition method(MDM) in classifying the $2\times N\times N$ truly entangled states to $2\times M\times N$ system under the condition of stochastic local operations and classical communication(SLOCC). It is found that the MDM ... More

New Possibilities for Testing Local Realism in High Energy PhysicsDec 04 2008Dec 13 2009The three photons from the dominant ortho-positronium decay and two vector mesons from the $\eta_c$ exclusive decays are found to be in tripartite and high-dimensional entangled states, respectively. These two classes of entangled states possess the Hardy ... More

S-type Negative Differential Resistance in Semiconducting Transition-Metal DichalcogenidesJan 22 2019Current-controlled (also known as "S-type") negative differential resistance (NDR) is of crucial importance to many emerging applications including neuromorphic computing and high-density memristors integration. However, the experimental realization of ... More

The Feasibility of Testing LHVTs in Charm FactoryAug 07 2006Sep 28 2006It is commonly believed that the LHVTs can be tested through measuring the Bell's inequalities. This scheme, for the massive particle system, was originally set up for the entangled K^0\bar{K^0} pair system from the \phi factory. In this Letter we show ... More

Testing Local Realism in $P \to VV$ DecaysMar 06 2009Apr 07 2010It was found that the vector meson pair from the pseudoscalar decays can form an entangled state. In this work we give out detailed explanations on the polarization correlation of the two entangled vector mesons. It is demonstrated that an experimental ... More

Facelet-Bank for Fast Portrait ManipulationMar 15 2018Mar 30 2018Digital face manipulation has become a popular and fascinating way to touch images with the prevalence of smartphones and social networks. With a wide variety of user preferences, facial expressions, and accessories, a general and flexible model is necessary ... More

Evolving nature of human contact networks with its impact on epidemic processesMay 21 2019Human contact networks are constituted by a multitude of individuals and pairwise contacts among them. However, the dynamic nature, which generates the evolution of human contact networks, of contact patterns is not known yet. Here, we analyse three empirical ... More

FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the EdgeApr 09 2019While embedded FPGAs are attractive platforms for DNN acceleration on edge-devices due to their low latency and high energy efficiency, the scarcity of resources of edge-scale FPGA devices also makes it challenging for DNN deployment. In this paper, we ... More

Quantum Entanglement of Neutrino PairsAug 02 2007Feb 19 2014It is practically shown that a pair of neutrinos from tau decay can form a flavor entangled state. With this kind of state we show that the locality constrains imposed by Bell inequality are violated by the quantum mechanics, and an experimental test ... More

Equivalence theorem of uncertainty relationsDec 09 2015May 04 2016We present an equivalence theorem to unify the two classes of uncertainty relations, i.e., the variance based ones and the entropic forms, which shows that the entropy of an operator in a quantum system can be built from the variances of a set of commutative ... More

Reformulating the Quantum Uncertainty RelationFeb 23 2015Sep 17 2015Uncertainty principle is one of the cornerstones of quantum theory. In the literature, there are two types of uncertainty relations, the operator form concerning the variances of physical observables and the entropy form related to entropic quantities. ... More

Study on temperature coefficient of CdTe detector used for X-rays detectionNov 21 2016The temperature of the working environment is a key factor in determining the properties of semiconductor detectors, and it affects the absolute accuracy and stability of the standard detector. In order to determine the temperature coefficient of CdTe ... More

Separable Decompositions of Bipartite Mixed StatesAug 17 2017Mar 29 2018We present a practical scheme for the decomposition of a bipartite mixed state into a sum of direct products of local density matrices, using the technique developed in Li and Qiao (Sci. Rep. 8: 1442, 2018). In the scheme, the correlation matrix which ... More

A study of raining influence on the environmental radiation background spectra with HXMT/HENov 25 2016Full functional and performance tests were performed many times before the Hard X-ray Modulation Telescope (HXMT) launch. During one of the tests, the count rate curves of the 18 High Energy Detectors (HED) have been found increased consistently within ... More

Operational necessary and sufficient criterion for the separability of mixed statesJul 12 2016Entanglement and the associated nonlocal phenomena are distinguishing features of quantum mechanics and have applications in almost all branches of quantum information science. Though being intensively studied for decades, it is still a challenge task ... More

Classification of Arbitrary Multipartite Entangled States under Local Unitary EquivalenceNov 18 2011Feb 28 2013We propose a practical method for finding the canonical forms of arbitrary dimensional multipartite entangled states, either pure or mixed. By extending the technique developed in one of our recent works, the canonical forms for the mixed $N$-partite ... More

Generation of Einstein-Podolsky-Rosen State via Earth's Gravitational FieldAug 22 2012Jun 06 2013Although various physical systems have been explored to produce entangled states involving electromagnetic, strong, and weak interactions, the gravity has not yet been touched in practical entanglement generation. Here, we propose an experimentally feasible ... More

Semiclassical theory of spin-orbit torques in disordered multiband electron systemsMay 22 2017Jul 21 2017We study spin-orbit torques (SOT) in non-degenerate multiband electron systems in the weak disorder limit. In order to have better physical transparency a semiclassical Boltzmann approach equivalent to the Kubo diagrammatic approach in the non-crossing ... More

Large sets of Kirkman triple systems with order $q^n+2$Jul 11 2013The existence of Large sets of Kirkman Triple Systems (LKTS) is an old problem in combinatorics. Known results are very limited, and a lot of them are based on the works of Denniston \cite{MR0349416, MR0369086, MR535159, MR539718}. The only known recursive ... More

On Crowdsourced Interactive Live Streaming: A Twitch.TV-Based Measurement StudyFeb 16 2015Feb 23 2015Empowered by today's rich tools for media generation and collaborative production, the multimedia service paradigm is shifting from the conventional single source, to multi-source, to many sources, and now toward {\em crowdsource}. Such crowdsourced live ... More

QCD landscape?Nov 23 2009Just comparing with the scenario that the (3+1)-dimensional "real world" of the Calabi-Yau compactification has a tremendous landscape, we conjecture that a (4+1)-dimensional holographic theory may also hold a landscape of its vacua. Unlike the traditional ... More

Kaluza-Klein Contamination in Fermi Accelerated EnvironmentsJun 23 2008Aug 09 2008Astrophysical constraints of new physics are often limited to weakly interacting light particles, such as axions, the Kaluza-Klein (KK) gravitons from the ADD model, sterile neutrinos and unparticles. We discuss the possibility for an astrophysical scenario ... More

Stickiness of KAM tori for higher dimensional beam equationJan 12 2015This paper is concerned with the stickiness of invariant tori obtained by KAM technics (so-called KAM tori) for higher dimensional beam equation. We prove that the KAM tori are sticky, i.e. the solutions starting in the $\delta$-neighborhood of KAM torus ... More

Rossby Wave Instability in Accretion Discs with Large-Scale Poloidal Magnetic FieldsDec 06 2012We study the effect of large-scale magnetic fields on the non-axisymmetric Rossby wave instability (RWI) in accretion discs. The instability develops around a density bump, which is likely present in the transition region between the active zone and dead ... More

Optimized Dynamical Decoupling in Ξ-Type n-Level Quantum SystemsFeb 21 2014Apr 28 2014In this paper, we first design a type of Bang-Bang (BB) operation group to reduce the phase decoherence in a {\Xi}-type n-level quantum system based on the dynamical decoupling mechanism. Then, we derive two kinds of dynamical decoupling schemes: periodic ... More

AdS/CFT aspects of the cosmological QCD phase transitionDec 14 2008Mar 11 2009Recently, deeper understanding of QCD emerges from the study of the AdS/CFT correspondence. New results include the properties of quark-gluon plasma and the confinement/deconfinement phase transition, which are both very important for the scenario of ... More

Relative divergence of finitely generated groupsJun 17 2014We generalize the concept of divergence of finitely generated groups by introducing the upper and lower relative divergence of a finitely generated group with respect to a subgroup. Upper relative divergence generalizes Gersten's notion of divergence, ... More

Geometric embedding properties of Bestvina-Brady subgroupsJun 02 2016Jan 05 2017We compute the relative divergence and the subgroup distortion of Bestvina-Brady subgroups. We also show that for each integer $n\geq 3$, there is a free subgroup of rank $n$ of some right-angled Artin group whose inclusion is not a quasi-isometric embedding. ... More

Resonant Low Frequency Interlayer Shear Modes in Folded Graphene LayersDec 25 2013Naturally or artificially stacking extra layers on single layer graphene (SLG) forms few-layer graphene (FLG), which has attracted tremendous attention owing to its exceptional properties inherited from SLG and new features generated by introducing extra ... More

Total Domination Value in GraphsApr 18 2012A set $D \subseteq V(G)$ is a \emph{total dominating set} of $G$ if for every vertex $v \in V(G)$ there exists a vertex $u \in D$ such that $u$ and $v$ are adjacent. A total dominating set of $G$ of minimum cardinality is called a $\gamma_t(G)$-set. For ... More

A splitting algorithm for dual monotone inclusions involving cocoercive operatorsOct 08 2011We consider the problem of solving dual monotone inclusions involving sums of composite parallel-sum type operators. A feature of this work is to exploit explicitly the cocoercivity of some of the operators appearing in the model. Several splitting algorithms ... More

Efficient Integer Coefficient Search for Compute-and-ForwardSep 18 2016Integer coefficient selection is an important decoding step in the implementation of compute-and-forward (C-F) relaying scheme. Choosing the optimal integer coefficients in C-F has been shown to be a shortest vector problem (SVP) which is known to be ... More

Viscosity Solutions to Parabolic Master Equations and McKean-Vlasov SDEs with Closed-loop ControlsMay 07 2018Apr 25 2019The master equation is a type of PDE whose state variable involves the distribution of certain underlying state process. It is a powerful tool for studying the limit behavior of large interacting systems, including mean field games and systemic risk. ... More

Starburst in the Intragroup Medium of Stephan's QuintetAug 31 1998Based on new ISO mid-infrared observations and ground based $H_\alpha$ and near-infrared observations, we report the detection of a bright starburst in the intragroup medium (IGM) of the famous compact group of galaxies Stephan's Quintet (Source A in ... More

CO in Stephan's Quintet: First Evidence of Molecular Gas in the Intragroup StarburstAug 07 2000We present the first interferometric evidence of CO(1-0) emission in the intragroup starburst (IGS) region of HCG~92 (Stephan's Quintet). BIMA's large primary beam covers fully both the IGS region and the dominant group member galaxy Seyfert NGC 7319, ... More

Nonlinear Muckenhoupt-Wheeden type bounds on Reifenberg flat domains, with applications to quasilinear Riccati type equationsSep 04 2013A weighted norm inequality of Muckenhoupt-Wheeden type is obtained for gradients of solutions to a class of quasilinear equations with measure data on Reifenberg flat domains. This essentially leads to a resolution of an existence problem for quasilinear ... More

Buchi Determinization Made TighterApr 05 2014Dec 24 2014By separating the principal acceptance mechanism from the concrete acceptance condition of a given B\"{u}chi automaton with $n$ states,Schewe presented the construction of an equivalent deterministic Rabin transition automaton with $o((1.65n)^n)$ states ... More

Making Abstraction Refinement Efficient in Model CheckingJul 21 2010Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, although the state space is largely reduced, however, a counterexample found in such a model may not be a ... More

Rashba torque beyond the Boltzmann regimeMay 31 2017Jun 06 2017We study spin torques induced by Rashba spin-orbit coupling in two-dimensional ferromagnets under the good-metal condition $\epsilon_{F}\tau/\hbar\gg1$ ($\epsilon_{F}$ the Fermi energy, $\tau$ the electron lifetime) by employing the Kubo formula. We find ... More

Strong quasiconvexity, stability, and lower relative divergence in right-angled Artin groupsFeb 05 2017Sep 04 2017Let $\Gamma$ be a simplicial, finite, connected graph such that $\Gamma$ does not decompose as a nontrivial join. We prove that two notions of strong quasiconvexity and stability are equivalent in the right-angled Artin group $A_\Gamma$ (except for the ... More

On distortion of normal subgroupsNov 22 2016We examine distortion of finitely generated normal subgroups. We show a connection between subgroup distortion and group divergence. We suggest a method computing the distortion of normal subgroups by decomposing the whole group into smaller subgroups. ... More

On Domination Number and Distance in GraphsSep 14 2014A vertex set $S$ of a graph $G$ is a \emph{dominating set} if each vertex of $G$ either belongs to $S$ or is adjacent to a vertex in $S$. The \emph{domination number} $\gamma(G)$ of $G$ is the minimum cardinality of $S$ as $S$ varies over all dominating ... More

On the progenitors of super-Chandrasekhar mass type Ia supernovaeJul 01 2009Jul 04 2009Type Ia supernovae (SNe Ia) can be used as the standard candlelight to determine the cosmological distances because they are thought to have a uniform fuel amount. Recent observations of several overluminous SNe Ia suggest that the white dwarf masses ... More

Evolution of black-hole intermediate-mass X-ray binaries: the influence of a circumbinary discSep 05 2006Justham, Rappaport & Podsiadlowski (2006) recently suggested that black-hole low-mass X-ray binaries (BHLMXBs) with short orbital periods may have evolved from black-hole intermediate-mass X-ray binaries (BHIMXBs). In their model the secondaries in BHIMXBs ... More

Stochastic evolutionary dynamics of minimum-effort coordination gamesMar 19 2016The minimum-effort coordination game, having potentially important implications in both evolutionary biology and sociology, draws recently more attention for the fact that human behavior in this social dilemma is often inconsistent with the predictions ... More

Multi-Task Classification Hypothesis Space with Improved Generalization BoundsDec 09 2013This paper presents a RKHS, in general, of vector-valued functions intended to be used as hypothesis space for multi-task classification. It extends similar hypothesis spaces that have previously considered in the literature. Assuming this space, an improved ... More

Identifying the Mislabeled Training Samples of ECG Signals using Machine LearningDec 11 2017The classification accuracy of electrocardiogram signal is often affected by diverse factors in which mislabeled training samples issue is one of the most influential problems. In order to mitigate this negative effect, the method of cross validation ... More

Convolutional Compressed Sensing Using Deterministic SequencesOct 28 2012In this paper, a new class of circulant matrices built from deterministic sequences is proposed for convolution-based compressed sensing (CS). In contrast to random convolution, the coefficients of the underlying filter are given by the discrete Fourier ... More

Classification of the Entangled States of $2 \times N \times N$Apr 15 2008Nov 12 2009We develop a novel method in classifying the multipartite entanglement state of $2\times N\times N$ under stochastic local operation and classical communication. In this method, all inequivalent classes of true entangled state can be assorted directly ... More

Ds+ -- Ds- Asymmetry in PhotoproductionApr 12 2005Jun 04 2005Considering of the possible difference in strange and antistrange quark distributions inside nucleon, we investigate the Ds+ -- Ds- asymmetry in photoproduction in the framework of heavy-quark recombination mechanism. We adopt two distribution models ... More

Graphdiyne Nanoribbons with Open Hexagonal Rings: Existence of Topological Unprotected Edge StatesAug 29 2017Using first principles calculations, we studied a new class of graphdiyne nanoribbons (GDYNR) with open hexagonal rings on the edges.To avoid the effects from dangling bond, hydrogen or oxygen atoms were absorbed on the edges. There are two kinds of GDYNR ... More

Detecting giant electron-hole asymmetry in graphene monolayer generated by strain and charged-defect scattering via Landau level spectroscopyJul 01 2015The electron-hole symmetry in graphene monolayer, which is analogous to the inherent symmetric structure between electrons and positrons of the Universe, plays a crucial role in the chirality and chiral tunnelling of massless Dirac fermions. Here we demonstrate ... More

Pareto-Path Multi-Task Multiple Kernel LearningApr 11 2014A traditional and intuitively appealing Multi-Task Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) shared kernel function, which allows information sharing amongst tasks. We point ... More

Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry propertyDec 29 2010Oct 24 2012Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper, we propose the usage of orthogonal symmetric Toeplitz matrices (OSTM) ... More

Low braking index of PSR J1734-3333: an interaction between fall-back disk and magnetic field?Nov 10 2015Recent timing observation reported that the radio pulsar PSR J1734 - 3333 with a rotating period $P=1.17~\rm s$ is slowing down with a period derivative $\dot{P}=2.28\times 10^{-12}\rm s\,s^{-1}$. Its derived braking index $n=0.9 \pm 0.2$ is the lowest ... More

Discussion on Benford's Law and its ApplicationAug 04 2004Oct 04 2004The probability that a number in many naturally occurring tables of numerical data has first significant digit $d$ is predicted by Benford's Law ${\rm Prob} (d) = \log_{10} (1 + {\displaystyle{1\over d}}), d = 1, 2 >..., 9$. Illustrations of Benford's ... More

A Unifying Framework for Typical Multi-Task Multiple Kernel Learning ProblemsJan 21 2014Over the past few years, Multi-Kernel Learning (MKL) has received significant attention among data-driven feature selection techniques in the context of kernel-based learning. MKL formulations have been devised and solved for a broad spectrum of machine ... More

Conic Multi-Task ClassificationAug 20 2014Traditionally, Multi-task Learning (MTL) models optimize the average of task-related objective functions, which is an intuitive approach and which we will be referring to as Average MTL. However, a more general framework, referred to as Conic MTL, can ... More