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Chinese NER Using Lattice LSTMMay 05 2018Jul 05 2018We investigate a lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon. Compared with character-based methods, our model explicitly leverages word and word sequence ... More

On the nonexistence of linear perfect Lee codesFeb 13 2018Feb 27 2019In 1968, Golomb and Welch conjectured that there does not exist perfect Lee code in $\mathbb{Z}^{n}$ with radius $r\ge2$ and dimension $n\ge3$. Besides its own interest in coding theory and discrete geometry, this conjecture is also strongly related to ... More

NCRF++: An Open-source Neural Sequence Labeling ToolkitJun 14 2018Jun 17 2018This paper describes NCRF++, a toolkit for neural sequence labeling. NCRF++ is designed for quick implementation of different neural sequence labeling models with a CRF inference layer. It provides users with an inference for building the custom model ... More

Recycled Least Squares Estimation in Nonlinear RegressionDec 14 2018We consider a resampling scheme for parameters estimates in nonlinear regression models. We provide an estimation procedure which recycles, via random weighting, the relevant parameters estimates to construct consistent estimates of the sampling distribution ... More

Quantum teleportation via a two-qubit Heisenberg XXZ chain-effects of anisotropy and magnetic fieldAug 18 2008We study quantum teleportation via a two-qubit Heisenberg XXZ chain under an inhomogeneous magnetic field. We first consider entanglement teleportation, and then focus on the teleportation fidelity under different conditions. The effects of anisotropy ... More

Recycled Two-Stage Estimation in Nonlinear Mixed Effects Regression ModelsFeb 03 2019We consider a re-sampling scheme for estimation of the population parameters in the mixed effects nonlinear regression models of the type use for example in clinical pharmacokinetics, say. We provide an estimation procedure which {\it recycles}, via random ... More

Comparison of dark energy models after Planck 2015Jul 21 2016Oct 27 2016We make a comparison for ten typical, popular dark energy models according to their capabilities of fitting the current observational data. The observational data we use in this work include the JLA sample of type Ia supernovae observation, the Planck ... More

Stable Bound States of Asymmetric Dark MatterJul 15 2014Aug 08 2016The simplest renormalizable effective field theories with asymmetric dark matter bound states contain two additional gauge singlet fields one being the dark matter and the other a mediator particle that the dark matter annihilates into. We examine the ... More

Mono-Neutrino at DUNE: New Signals From Neutrinophilic Thermal Dark MatterJan 04 2019We introduce the mono-neutrino signal at neutrino detectors as a smoking gun of sub-GeV scale dark matter candidates that mainly interact with standard model neutrinos. In a mono-neutrino process, invisible particles, either dark matter themselves or ... More

Geometric phase of a bipartite system with Dzyaloshinski-Moriya interactionAug 18 2008The Berry phase of a bipartite system described by a Heisenberg XXZ model driven by a one-site magnetic field is investigated. The effect of the Dzyaloshinski-Moriya (DM) anisotropic interaction on the Berry phase is discussed. It is found that the DM ... More

The screening and ranking algorithm to detect DNA copy number variationsOct 01 2012DNA Copy number variation (CNV) has recently gained considerable interest as a source of genetic variation that likely influences phenotypic differences. Many statistical and computational methods have been proposed and applied to detect CNVs based on ... More

Gravity and Spin Forces in Gravitational Quantum Field TheoryAug 11 2018Sep 08 2018In the new framework of gravitational quantum field theory (GQFT) with spin and scaling gauge invariance developed in Phys. Rev. D\textbf{93} (2016) 024012-1~\cite{Wu:2015wwa}, we make a perturbative expansion for the full action in a background field ... More

Latent Variable Sentiment GrammarJun 29 2019Jul 08 2019Neural models have been investigated for sentiment classification over constituent trees. They learn phrase composition automatically by encoding tree structures but do not explicitly model sentiment composition, which requires to encode sentiment class ... More

The Unambiguous Distance in a Phase-based Ranging System with Hopping FrequenciesMar 08 2014It is a challenge to specify unambiguous distance (UD) in a phase-based ranging system with hopping frequencies (PRSHF). In this letter, we propose to characterize the UD in a PRSHF by the probability that it takes on its maximum value. We obtain a very ... More

Latent Variable Sentiment GrammarJun 29 2019Neural models have been investigated for sentiment classification over constituent trees. They learn phrase composition automatically by encoding tree structures but do not explicitly model sentiment composition, which requires to encode sentiment class ... More

Naturally Light Sterile Neutrinos from Theory of R-parityOct 19 2010Oct 26 2010The fate of R-parity is one of the central issues in the minimal supersymmetric standard model (MSSM). Gauged $B-L$ symmetry provides a natural framework for addressing this question. Recently, it was pointed out that the minimal such theory does not ... More

Perturbative unitarity constraints on general W' models and collider implicationsNov 21 2011We study perturbative unitarity constraints on general W' models by considering the high energy behavior of fermion scattering into gauge bosons. In most cases we survey, a Z' boson with a comparable mass must be present for the theory to be consistent, ... More

Open Domain Event Extraction Using Neural Latent Variable ModelsJun 17 2019We consider open domain event extraction, the task of extracting unconstraint types of events from news clusters. A novel latent variable neural model is constructed, which is scalable to very large corpus. A dataset is collected and manually annotated, ... More

Multiple Change-point Detection: a Selective OverviewDec 13 2015Jul 14 2016Very long and noisy sequence data arise from biological sciences to social science including high throughput data in genomics and stock prices in econometrics. Often such data are collected in order to identify and understand shifts in trend, e.g., from ... More

Design Challenges and Misconceptions in Neural Sequence LabelingJun 12 2018Jul 12 2018We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include most of the state-of-the-art structures, and conduct a systematic model ... More

Chiral Phase Transition with 2+1 quark flavors in an improved soft-wall AdS/QCD ModelMay 14 2018We study the chiral phase transition with 2 + 1 quark flavors in an improved soft-wall AdS/QCD model, which can produce the light meson spectrum and many other low-energy quantities consistent with experiments in the two-flavor case. The chiral transition ... More

Smooth densities of the laws of perturbed diffusion processesJan 23 2016Under some regularity conditions on $b$, $\sigma$ and $\alpha$, we prove that the following perturbed stochastic differential equation \begin{equation} X_t=x+\int_0^t b(X_s)ds+\int_0^t \sigma(X_s) dB_s+\alpha \sup_{0 \le s \le t} X_s, \ \ \ \alpha<1 \end{equation} ... More

Token Economics in Energy Systems: Concept, Functionality and ApplicationsAug 02 2018Traditional centralized energy systems have the disadvantages of difficult management and insufficient incentives. Blockchain is an emerging technology, which can be utilized in energy systems to enhance their management and control. Integrating token ... More

Neural Word Segmentation with Rich PretrainingApr 28 2017Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external information, such ... More

Chiral phase transition and QCD phase diagram from AdS/QCDOct 30 2018We study the chemical potential effects on the chiral phase transition in a simply improved soft-wall AdS/QCD model, which can realize consistently the properties of linear confinement and spontaneous chiral symmetry breaking. The $\mu-T$ phase diagrams ... More

A consistent analysis on QCD phase diagram and meson spectra in the improved soft-wall AdS/QCDApr 09 2019Apr 10 2019We present a consistent analysis on QCD phase diagram and meson spectra based on the improved soft-wall AdS/QCD. The equations of motion for the octet pseudoscalar, vector and axial-vector mesons with $2+1$ flavors are derived to calculate the octet meson ... More

Neural Reranking for Named Entity RecognitionJul 17 2017We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions. In particular, given an output sentence produced ... More

Theoretical study on RbCl crystal with Möbius inverse potentialsAug 10 2003The alkali halides have been studied very frequently for their simple structures and interesting properties, for example, the high-pressure induced transition$^1$. There are several successful models that can be employed. The most famous model of them ... More

Subword Encoding in Lattice LSTM for Chinese Word SegmentationOct 30 2018We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize words or subwords. It integrates the character sequence features with all subsequences information matched from a lexicon. The matched subsequences serve as information ... More

Combining Discrete and Neural Features for Sequence LabelingAug 24 2017Neural network models have recently received heated research attention in the natural language processing community. Compared with traditional models with discrete features, neural models have two main advantages. First, they take low-dimensional, real-valued ... More

A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword SpottingJun 20 2019Robustness against noise is critical for keyword spotting (KWS) in real-world environments. To improve the robustness, a speech enhancement front-end is involved. Instead of treating the speech enhancement as a separated preprocessing before the KWS system, ... More

Numerical results for geometric measure of coherence and geometric measure of entanglement based on semidefinite programsMar 26 2019We present semidefinite programs for computing the geometric measure of coherence and the geometric measure of entanglement, respectively. For the geometric measure of coherence, the algorithm can be applied to any finite-dimensional mixed state. We test ... More

Improved English to Russian Translation by Neural Suffix PredictionJan 11 2018Neural machine translation (NMT) suffers a performance deficiency when a limited vocabulary fails to cover the source or target side adequately, which happens frequently when dealing with morphologically rich languages. To address this problem, previous ... More

Auslander-Reiten translations in monomorphism categoriesJan 21 2011We generalize Ringel and Schmidmeier's theory on the Auslander-Reiten translation of the submodule category $\mathcal S_2(A)$ to the monomorphism category $\mathcal S_n(A)$. As in the case of $n=2$, $\mathcal S_n(A)$ has Auslander-Reiten sequences, and ... More

Modified f(G) gravity models with curvature-matter couplingMar 26 2012A modified f(G) gravity model with coupling between matter and geometry is proposed, which is described by the product of the Lagrange density of the matter and an arbitrary function of the Gauss-Bonnet term. The field equations and the equations of motion ... More

A Corrected Parsimony Criterion for Reconstructing PhylogeniesOct 11 2016In phylogenetic analysis, for non-molecular data, particularly morphology, parsimony optimization is the most commonly employed approach. In the past and present application of the parsimony principle, extra step numbers have been added across different ... More

Hausdorff-$(2n-2)$ dimensional measure zero set and compactness of the $\overline{\partial}$-Neumann operator on $(0,n-1)$ formsMar 11 2019By using a variant Property $(P_q)$ of Catlin, we discuss the relation of small set of weakly pseudoconvex points on the boundary of pseudoconvex domain and compactness of the $\overline{\partial}$-Neumann operator. In particular, we show that if the ... More

Quantum Metrology via Repeated Quantum Nondemolition Measurements in "Photon Box"Nov 26 2013Apr 12 2015In quantum metrology schemes, one generally needs to prepare $m$ copies of $N$ entangled particles, such as entangled photon states, and then they are detected in a destructive process to estimate an unknown parameter. Here, we present a novel experimental ... More

Cosmic ray $e^{+} e^{-}$ spectrum excess and peak feature observed by the DAMPE experiment from dark matterNov 30 2017Nov 14 2018The Chinese satellite Wukong, also known as the DArk Matter Particle Explorer (DAMPE), has released its observation data of the cosmic ray (CR) electrons and positrons. The data shows an excess in the energy spectrum up to TeV energy, and possibly a peak-like ... More

Hypergraph Neural NetworksSep 25 2018Feb 23 2019In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Confronting the challenges of learning representation for complex data in ... More

Energy Efficient and Fair Resource Allocation for LTE-Unlicensed Uplink Networks: A Two-sided Matching Approach with Partial InformationAug 26 2018LTE-Unlicensed (LTE-U) has recently attracted worldwide interest to meet the explosion in cellular traffic data. By using carrier aggregation (CA), licensed and unlicensed bands are integrated to enhance transmission capacity while maintaining reliable ... More

The reason for the tilting of domain wall with Dzyaloshinskii-Moriya interaction from a microscopic dynamical perspectiveDec 17 2018The interfacial Dzyaloshinskii-Moriya interaction (DMI) of a heavy metal (HM)/ferromagnetic (FM) metal heterostructure is vital to the current-induced domain wall motion (CIDWM) at an ultrahigh velocity. However, strong DMI also tilts the moving domain ... More

Spatial-Temporal Relation Networks for Multi-Object TrackingApr 25 2019Recent progress in multiple object tracking (MOT) has shown that a robust similarity score is key to the success of trackers. A good similarity score is expected to reflect multiple cues, e.g. appearance, location, and topology, over a long period of ... More

The anomalous top quark coupling tqg and tW production at the LHCMay 26 2011Sep 19 2011Many new physics models beyond the standard model ($SM$) can give rise to the large anomalous top couplings $tqg$ ($q=u$ and $c$). We focus our attention on these couplings induced by the topcolor-assisted technicolor ($TC2$) model and the littlest Higgs ... More

Three-body interactions on a triangular latticeJan 03 2011We analyze the hard-core Bose-Hubbard model with both the three-body and nearest neighbor repulsions on the triangular lattice. The phase diagram is achieved by means of the semi-classical approximation and the quantum Monte Carlo simulation. For a system ... More

Self-interacting Dark Matter Without Direct Detection ConstraintsNov 10 2016We explore the self-interacting dark matter scenario in a simple dark sector model where the dark matter interacts through a dark photon. Splitting a Dirac fermion dark matter into two levels using a small Majorana mass can evade strong direct detection ... More

Prostate segmentation using Z-netJan 18 2019In this paper, we proposed a novel architecture of convolutional neural network (CNN), namely Z-net, for segmenting prostate from magnetic resonance images (MRIs). In the proposed Z-net, 5 pairs of Z-block and decoder Z-block with different sizes and ... More

Fast Radio Bursts from the collapse of Strange Star CrustsMay 11 2018May 14 2018Fast radio bursts (FRBs) are transient radio sources at cosmological distances. No counterparts in other bands have been observed for { non-repeating FRBs}. Here we suggest the collapse of strange star crusts as a possible origin for FRBs. Strange stars, ... More

Polarization Weight Family Methods for Polar Code ConstructionMay 08 2018Polar codes are the first proven capacity-achieving codes. Recently, they are adopted as the channel coding scheme for 5G due to their superior performance.A polar code for encoding length-K information bits in length-N codeword could be specified by ... More

The annihilation number does not bound the 2-domination number from the aboveApr 27 2019The $2$-domination number $\gamma_2(G)$ of a graph $G$ is the minimum cardinality of a set $S\subseteq V(G)$ such that every vertex from $V(G)\setminus S$ is adjacent to at least two vertices in $S$. The annihilation number $a(G)$ is the largest integer ... More

3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface EnhancementAug 05 2015With the introduction of spectral-domain optical coherence tomography (SDOCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, there is a critical need for the development ... More

AMR-to-text Generation with Synchronous Node Replacement GrammarFeb 01 2017Apr 28 2017This paper addresses the task of AMR-to-text generation by leveraging synchronous node replacement grammar. During training, graph-to-string rules are learned using a heuristic extraction algorithm. At test time, a graph transducer is applied to collapse ... More

AMR-to-text generation as a Traveling Salesman ProblemSep 23 2016The task of AMR-to-text generation is to generate grammatical text that sustains the semantic meaning for a given AMR graph. We at- tack the task by first partitioning the AMR graph into smaller fragments, and then generating the translation for each ... More

Predicting Dirac semimetals based on Sodium Ternary CompoundsJul 04 2018Mar 01 2019Predicting a new Dirac semimetal (DSM), as well as other topological materials, is quite challenging, since the relationship between crystal structure, composing atoms and the band topology is complex and elusive. Here, we demonstrate an approach to design ... More

GraphNAS: Graph Neural Architecture Search with Reinforcement LearningApr 22 2019Graph Neural Networks (GNNs) have been popularly used for analyzing non-Euclidean data such as social network data and biological data. Despite their success, the design of graph neural networks requires a lot of manual work and domain knowledge. In this ... More

YEDDA: A Lightweight Collaborative Text Span Annotation ToolNov 10 2017May 25 2018In this paper, we introduce \textsc{Yedda}, a lightweight but efficient and comprehensive open-source tool for text span annotation. \textsc{Yedda} provides a systematic solution for text span annotation, ranging from collaborative user annotation to ... More

Buffer-Enhanced Electrical-Pulse-Induced-Resistive Memory Effect in Thin Film PerovskitesOct 03 2005A multilayer perovskite thin film resistive memory device has been developed comprised of: a Pr0.7Ca0.3MnO3 (PCMO) perovskite oxide epitaxial layer on a YBCO bottom thin film electrode; a thin yttria stabilized zirconia (YSZ) buffer layer grown on the ... More

Lifshitz transitions in a heavy-Fermion liquid driven by short-range antiferromagnetic correlations in the two-dimensional Kondo lattice modelAug 10 2010The heavy-Fermion liquid with short-range antiferromagnetic correlations is carefully considered in the two-dimensional Kondo-Heisenberg lattice model. As the ratio of the local Heisenberg superexchange $J_{H}$ to the Kondo coupling $J_{K}$ increases, ... More

$2$-Class groups in dyadic Kummer towersMay 13 2019For the field $K_{n,m}=\mathbb{Q}(\sqrt[2^n]{p},\mu_{2^{m+1}})$ where $p$ is a prime number, we determine the structure of the $2$-class group of $K_{n,m}$ for all $(n,m)\in \mathbb{Z}_{\geq 0}^2$ in the case $p=2$ or $p\equiv 3, 5\bmod{8}$, and for $(n,m)=(n,0)$, ... More

Tunable subwavelength strong absorption by graphene wrapped dielectric particlesFeb 10 2015The optical absorption properties of graphene wrapped dielectric particles have been investigated by using Mie scattering theory and exact multi-scattering method. It is shown that subwavelength strong absorption in infrared spectra can take place in ... More

Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online ReviewsDec 19 2018This paper proposes a new HDP based online review rating regression model named Topic-Sentiment-Preference Regression Analysis (TSPRA). TSPRA combines topics (i.e. product aspects), word sentiment and user preference as regression factors, and is able ... More

RDMA Performance Isolation With JustitiaMay 11 2019Despite its increasing popularity, most of RDMA's benefits such as ultra-low latency can be achieved only when running an application in isolation. Using microbenchmarks and real open-source RDMA applications, we identify a series of performance anomalies ... More

Readable Racetrack Memory via Ferromagnetically Coupled Chiral Domain WallsJul 29 2018Current-induced motion of domain walls (CIMDW) with interfacial Dzyaloshinskii-Moriya interaction (DMI) in heavy metal (HM)/ferromagnetic (FM) metal multilayers have attracted attention owing to their potential application in novel magnetic memories. ... More

Inert Doublet Dark Matter and Mirror/Extra Families after Xenon100May 23 2011May 27 2011It was shown recently that mirror fermions, naturally present in a number of directions for new physics, seem to require an inert scalar doublet in order to pass the electroweak precision tests. This provides a further motivation for considering the inert ... More

Vehicle Tracking Using Surveillance with Multimodal Data FusionOct 29 2018Vehicle location prediction or vehicle tracking is a significant topic within connected vehicles. This task, however, is difficult if only a single modal data is available, probably causing bias and impeding the accuracy. With the development of sensor ... More

Secure Software-Defined Networking Based on BlockchainJun 11 2019Software-Defined Networking (SDN) separates the network control plane and data plane, which provides a network-wide view with centralized control (in the control plane) and programmable network configuration for data plane injected by SDN applications ... More

Leptonic dark matter annihilation in the evolving universe: constraints and implicationsDec 13 2009Oct 01 2010The cosmic electron and positron excesses have been explained as possible dark matter (DM) annihilation products. In this work we investigate the possible effects of such a DM annihilation scenario during the evolution history of the Universe. We first ... More

Constructing Gazetteers from Volunteered Big Geo-Data Based on HadoopNov 29 2013Feb 07 2014Traditional gazetteers are built and maintained by authoritative mapping agencies. In the age of Big Data, it is possible to construct gazetteers in a data-driven approach by mining rich volunteered geographic information (VGI) from the Web. In this research, ... More

Constraining Dark Energy From Splitting Angle Statistic of Strong Gravitational LensesAug 16 2007Dec 18 2008Utilizing the CLASS statistical sample, we investigate the constraint of the splitting angle statistic of strong gravitational lenses(SGL) on the equation-of-state parameter $w=p/\rho$ of the dark energy in the flat cold dark matter cosmology. Through ... More

Fast and robust control of two interacting spinsMay 16 2018Rapid preparation, manipulation, and correction of spin states with high fidelity are requisite for quantum information processing and quantum computing. In this paper, we propose a fast and robust approach for controlling two spins with Heisenberg and ... More

Optimal teleportation via thermal entangled states of a two-qubit Heisenberg ChainMay 30 2009We study the optimal teleportation based on Bell measurements via the thermal states of a two-qubit Heisenberg XXX chain in the presence of Dzyaloshinsky-Moriya (DM) anisotropic antisymmetric interaction and obtain the optimal unitary transformation. ... More

Origin of topologically trivial states and topological phase transitions in low-buckled plumbeneOct 06 2018Combining tight-binding (TB) models with first-principles calculations, we investigate electronic and topological properties of plumbene. Different from the other two-dimensional (2D) topologically nontrivial insulators in group IVA (from graphene to ... More

Earthquake Detection in 1-D Time Series Data with Feature Selection and Dictionary LearningJun 12 2018Jan 28 2019Earthquakes can be detected by matching spatial patterns or phase properties from 1-D seismic waves. Current earthquake detection methods, such as waveform correlation and template matching, have difficulty detecting anomalous earthquakes that are not ... More

The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching TechniquesMay 28 2018May 30 2018With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, the topic of Autonomous Cyber Reasoning System (CRS) has recently attracted extensive attention from both industry and academia. Utilizing automated system to detect, exploit and ... More

Supersolid phase transitions for hardcore bosons on a triangular latticeMay 31 2011Nov 16 2011Hard-core bosons on a triangular lattice with nearest neighbor repulsion are a prototypical example of a system with supersolid behavior on a lattice. We show that in this model the physical origin of the supersolid phase can be understood quantitatively ... More

A Statistical Approach to Identifying Significant Transgenerational Methylation ChangesSep 27 2014Epigenetic aberrations have profound effects on phenotypic output. Genome wide methylation alterations are inheritable to pass down the aberrations through multiple generations. We developed a statistical method, Genome-wide Identification of Significant ... More

Learning Word Embeddings with Domain AwarenessJun 07 2019Jun 21 2019Word embeddings are traditionally trained on a large corpus in an unsupervised setting, with no specific design for incorporating domain knowledge. This can lead to unsatisfactory performances when training data originate from heterogeneous domains. In ... More

Reentrant phase transitions and triple points of topological AdS black holes in Born-Infeld-massive gravityJul 12 2017Oct 19 2017Motivated by recent developments of black hole thermodynamics in de Rham, Gabadadze and Tolley(dRGT) massive gravity, we study the critical behaviors of four-dimensional topological Anti-de Sitter(AdS) black holes in the presence of Born-Infeld nonlinear ... More

Operation triggered quantum clock synchronizationNov 12 2014Nov 14 2014We present a novel quantum clock synchronization(QCS) scheme of multiple parties which uses operation as the trigger to start the evolution of the initial state, where existing QCS protocols use measurement to start the evolution. Since the trigger is ... More

First Limits on Left-Right Symmetry Scale from LHC DataMar 08 2011Mar 28 2011We use the early Large Hadron Collider data to set the lower limit on the scale of Left-Right symmetry, by searching for the right-handed charged gauge boson $W_R$ via the final state with two leptons and two jets, for 33/pb integrated luminosity and ... More

N-ary Relation Extraction using Graph State LSTMAug 28 2018Cross-sentence $n$-ary relation extraction detects relations among $n$ entities across multiple sentences. Typical methods formulate an input as a \textit{document graph}, integrating various intra-sentential and inter-sentential dependencies. The current ... More

Lepton flavor violating signals of the LHT model via e^{+}e^{-} and γγcollisions at the ILCOct 01 2010Oct 24 2010Taking into account the constraints on the free parameters of the littlest Higgs model with T-parity (called $LHT$ model) from some rare decay processes, such as $\mu\rightarrow e\gamma$ and $\mu\rightarrow 3e$, we consider the contributions of the $LHT$ ... More

Constraints on scalar and vector leptoquarks from the LHC Higgs dataMay 10 2019We study contributions of single scalar or vector leptoquark (LQ) to loop-induced Higgs processes, gluon fusion production ($g g \to h$) and $h \to \gamma \gamma$ decay, by analyzing the current Higgs data from the LHC Run I and II. Scalar LQ is studied ... More

Inverse Compton Scattering Spectra of Gamma-Ray Burst Prompt EmissionJan 16 2019Apr 22 2019Although the physical origin of gamma-ray burst (GRB) prompt emission is still controversial, synchrotron radiation from accelerated electrons is a promising mechanism. It is believed that electrons are accelerated continuously by ultra-relativistic shocks ... More

Type II Seesaw at LHC: the RoadmapAug 22 2011Dec 22 2012In this Letter we revisit the type-II seesaw mechanism based on the addition of a weak triplet scalar to the standard model. We perform a comprehensive study of its phenomenology at the LHC energies, complete with the electroweak precision constraints. ... More

Improving Cross-Domain Chinese Word Segmentation with Word EmbeddingsMar 05 2019Mar 29 2019Cross-domain Chinese Word Segmentation (CWS) remains a challenge despite recent progress in neural-based CWS. The limited amount of annotated data in the target domain has been the key obstacle to a satisfactory performance. In this paper, we propose ... More

Behavior of different numerical schemes for population genetic drift problemsOct 21 2014Dec 12 2016In this paper, we focus on numerical methods for the genetic drift problems, which is governed by a degenerated convection-dominated parabolic equation. Due to the degeneration and convection, Dirac singularities will always be developed at boundary points ... More

Social Vehicle Swarms: A Novel Perspective on Social-aware Vehicular Communication ArchitectureOct 29 2018Internet of vehicles is a promising area related to D2D communication and internet of things. We present a novel perspective for vehicular communications, social vehicle swarms, to study and analyze socially aware internet of vehicles with the assistance ... More

On the Unambiguous Distance of Multi-Carrier Phase Ranging with Random Hopped FrequencieFeb 18 2017In a multi-carrier phase ranging (MPR) system, the distance that radio signal travels is estimated through phase shift of multiple carrier frequencies. Due to phase ambiguity, a unique estimation can only be obtained within the unambiguous distance (UD), ... More

Kerman-Onishi conditions in self-consistent tilted-axis-cranking mean-field calculationsAug 01 2013Sep 11 2013\item[Background] For cranked mean-field calculations with arbitrarily oriented rotational frequency vector $\boldsymbol{\omega}$ in the intrinsic frame, one has to employ constraints on average values of the quadrupole-moment tensor, so as to keep the ... More

Mapping PM2.5 concentration at sub-km level resolution: a dual-scale retrieval methodJul 06 2019Satellite-based retrieval has become a popular PM2.5 monitoring method currently. To improve the retrieval performance, multiple variables are usually introduced as auxiliary variable in addition to aerosol optical depth (AOD). Different kinds of variables ... More

Does It Make Sense? And Why? A Pilot Study for Sense Making and ExplanationJun 02 2019Introducing common sense to natural language understanding systems has received increasing research attention. It remains a fundamental question on how to evaluate whether a system has a sense making capability. Existing benchmarks measures commonsense ... More

OPARC: Optimal and Precise Array Response Control Algorithm -- Part II: Multi-points and ApplicationsDec 29 2017In this paper, the optimal and precise array response control (OPARC) algorithm proposed in Part I of this two paper series is extended from single point to multi-points. Two computationally attractive parameter determination approaches are provided to ... More

OPARC: Optimal and Precise Array Response Control Algorithm -- Part I: FundamentalsDec 29 2017In this paper, the problem of how to optimally and precisely control array response levels is addressed. By using the concept of the optimal weight vector from the adaptive array theory and adding virtual interferences one by one, the change rule of the ... More

Comparison Network for One-Shot Conditional Object DetectionApr 04 2019The current advances in object detection depend on large-scale datasets to get good performance. However, there may not always be sufficient samples in many scenarios, which leads to the research on few-shot detection as well as its extreme variation ... More

Otem&Utem: Over- and Under-Translation Evaluation Metric for NMTJul 24 2018Although neural machine translation(NMT) yields promising translation performance, it unfortunately suffers from over- and under-translation is- sues [Tu et al., 2016], of which studies have become research hotspots in NMT. At present, these studies mainly ... More

All-Poly(ionic liquid) Membrane-derived Porous Carbon Membranes: Scalable Synthesis and Application for Photothermal Conversion in Seawater DesalinationJan 14 2019Herein we firstly introduce a straightforward, scalable and technologically relevant strategy to manufacture charged porous polymer membranes (CPMs) in a controllable manner. The pore sizes and porous architectures of CPMs are well-controlled by rational ... More

Current-limiting challenges for all-spin logic devicesJun 12 2015Sep 23 2015All-spin logic device (ASLD) has attracted increasing interests as one of the most promising post-CMOS device candidates, thanks to its low power, non-volatility and logic-in-memory structure. Here we investigate the key current-limiting factors and develop ... More

Boosting up Scene Text Detectors with Guided CNNMay 10 2018May 14 2018Deep CNNs have achieved great success in text detection. Most of existing methods attempt to improve accuracy with sophisticated network design, while paying less attention on speed. In this paper, we propose a general framework for text detection called ... More

Nature of the growth of plasma electrolyte oxidation coating on AluminumDec 07 2017The localized dielectric breakdown had been considered as the driving force for growth of plasma electrolytic oxide (PEO) coatings for several decades. However, the TEM study here reveals the dielectric breakdown behavior has little contribution for coating ... More