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A New Perspective on Machine Learning: How to do Perfect Supervised LearningJan 07 2019Mar 19 2019In this work, we introduce the concept of bandlimiting into the theory of machine learning because all physical processes are bandlimited by nature, including real-world machine learning tasks. After the bandlimiting constraint is taken into account, ... More

Why Learning of Large-Scale Neural Networks Behaves Like Convex OptimizationMar 06 2019In this paper, we present some theoretical work to explain why simple gradient descent methods are so successful in solving non-convex optimization problems in learning large-scale neural networks (NN). After introducing a mathematical tool called canonical ... More

Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural NetworksJun 24 2015Financial news contains useful information on public companies and the market. In this paper we apply the popular word embedding methods and deep neural networks to leverage financial news to predict stock price movements in the market. Experimental results ... More

The Lower The Simpler: Simplifying Hierarchical Recurrent ModelsSep 08 2018May 20 2019To improve the training efficiency of hierarchical recurrent models without compromising their performance, we propose a strategy named as `the lower the simpler', which is to simplify the baseline models by making the lower layers simpler than the upper ... More

Robust estimation of isoform expression with RNA-Seq dataOct 24 2014Qualifying gene and isoform expression is one of the primary tasks for RNA-Seq experiments. Given a sequence of counts representing numbers of reads mapped to different positions (exons and junctions) of isoforms, methods based on Poisson generalized ... More

Higher Order Recurrent Neural NetworksApr 30 2016In this paper, we study novel neural network structures to better model long term dependency in sequential data. We propose to use more memory units to keep track of more preceding states in recurrent neural networks (RNNs), which are all recurrently ... More

Explicit Utilization of General Knowledge in Machine Reading ComprehensionSep 10 2018May 20 2019To bridge the gap between Machine Reading Comprehension (MRC) models and human beings, which is mainly reflected in the hunger for data and the robustness to noise, in this paper, we explore how to integrate the neural networks of MRC models with the ... More

Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural NetworksFeb 03 2015Jun 06 2015In this paper, we propose a novel model for high-dimensional data, called the Hybrid Orthogonal Projection and Estimation (HOPE) model, which combines a linear orthogonal projection and a finite mixture model under a unified generative modeling framework. ... More

Unit-free and robust detection of differential expression from RNA-Seq dataMay 18 2014Aug 26 2016Ultra high-throughput sequencing of transcriptomes (RNA-Seq) is a widely used method for quantifying gene expression levels due to its low cost, high accuracy and wide dynamic range for detection. However, the nature of RNA-Seq makes it nearly impossible ... More

Application Layer Definition and Analyses of Controller Area Network Bus for Wire Harness Assembly MachineAug 28 2006Aug 31 2006With the feature of multi-master bus access, nondestructive contention-based arbitration and flexible configuration, Controller Area Network (CAN) bus is applied into the control system of Wire Harness Assembly Machine (WHAM). To accomplish desired goal, ... More

Supervised Adversarial Networks for Image Saliency DetectionApr 24 2017Apr 26 2017In the past few years, Generative Adversarial Network (GAN) became a prevalent research topic. By defining two convolutional neural networks (G-Network and D-Network) and introducing an adversarial procedure between them during the training process, GAN ... More

A Deep Learning Based Fast Image Saliency Detection AlgorithmFeb 01 2016In this paper, we propose a fast deep learning method for object saliency detection using convolutional neural networks. In our approach, we use a gradient descent method to iteratively modify the input images based on the pixel-wise gradients to reduce ... More

Large deviations of the Threshold estimator of integrated (co-)volatility vector in the presence of jumpsApr 30 2015Recently a considerable interest has been paid on the estimation problem of the realized volatility and covolatility by using high-frequency data of financial price processes in financial econometrics. Threshold estimation is one of the useful techniques ... More

A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionNov 02 2016In this paper, we study a novel approach for named entity recognition (NER) and mention detection in natural language processing. Instead of treating NER as a sequence labelling problem, we propose a new local detection approach, which rely on the recent ... More

A description of transverse momentum distributions in p+p collisions at RHIC and LHC energiesNov 05 2018It has long been debated whether the hydrodynamics is suitable for the smaller colliding systems such as p+p collisions. In this paper, by assuming the existence of longitudinal collective motion and long-range interactions in the hot and dense matter ... More

Content based News Recommendation via Shortest Entity Distance over Knowledge GraphsMay 24 2019Content-based news recommendation systems need to recommend news articles based on the topics and content of articles without using user specific information. Many news articles describe the occurrence of specific events and named entities including people, ... More

Topological classification of non-Hermitian systems with reflection symmetryDec 12 2018Feb 21 2019We classify topological phases of non-Hermitian systems in the Altland-Zirnbauer classes with an additional reflection symmetry in all dimensions. By mapping the non-Hermitian system into an enlarged Hermitian Hamiltonian with an enforced chiral symmetry, ... More

Minimizing Sum of Truncated Convex Functions and its ApplicationsJul 31 2016We study a class of problems where the sum of truncated convex functions is minimized. In statistics it is often encountered when $L_0$-penalized models are fitted. While in general it leads to an NP-Hard non-convex optimization problem, we propose a ... More

Minimizing Sum of Truncated Convex Functions and Its ApplicationsJul 31 2016Jun 27 2017In this paper, we study a class of problems where the sum of truncated convex functions is minimized. In statistical applications, they are commonly encountered when $\ell_0$-penalized models are fitted and usually lead to NP-Hard non-convex optimization ... More

Coupled-Channel-Induced $S-D$ mixing of Charmonia and Testing Possible Assignments for $Y(4260)$ and $Y(4360)$Dec 01 2018Jun 03 2019The mass spectrum and the two-body open-charm decays of the $J^{PC}=1^{--}$ charmonium states are studied with the coupled-channel effects taken into account. The coupled-channel-induced mixing effects among the excited vector charmonia are studied. Based ... More

General maximum likelihood empirical Bayes estimation of normal meansAug 12 2009We propose a general maximum likelihood empirical Bayes (GMLEB) method for the estimation of a mean vector based on observations with i.i.d. normal errors. We prove that under mild moment conditions on the unknown means, the average mean squared error ... More

Adaptive Threshold Estimation by FDRDec 30 2013This paper addresses the following simple question about sparsity. For the estimation of an $n$-dimensional mean vector $\boldsymbol{\theta}$ in the Gaussian sequence model, is it possible to find an adaptive optimal threshold estimator in a full range ... More

Topological invariants, zero mode edge states and finite size effect for a generalized non-reciprocal Su-Schrieffer-Heeger modelJun 11 2019Intriguing issues in one-dimensional non-reciprocal topological systems include the breakdown of usual bulk-edge correspondence and the occurrence of half-integer topological invariants. In order to understand these unusual topological properties, we ... More

Deep Learning for Object Saliency Detection and Image SegmentationMay 05 2015In this paper, we propose several novel deep learning methods for object saliency detection based on the powerful convolutional neural networks. In our approach, we use a gradient descent method to iteratively modify an input image based on the pixel-wise ... More

Quadratic Convergence of Levenberg-Marquardt Method for Elliptic and Parabolic Inverse Robin ProblemsJul 07 2015Aug 02 2016We study the Levenberg-Marquardt (L-M) method for solving the highly nonlinear and ill-posed inverse problem of identifying the Robin coefficients in elliptic and parabolic systems. The L-M method transforms the Tikhonov regularized nonlinear non-convex ... More

Derivation of the gap and Bethe-Salpeter equations at large $N_c$ limit and symmetry preserving truncationsJun 10 2017Oct 12 2017We develop a framework for deriving Dyson-Schwinger Equations (DSEs) and Bethe-Salpeter Equation (BSE) in QCD at large $N_c$ limit. The starting point is a modified form (with auxiliary fields) of QCD generating functional. This framework provides a natural ... More

Asymptotic distributions related to mildly-explosive second order autoregressive modelsSep 30 2014In this paper, we consider the normalized least squares estimator of the parameter in a mildly-explosive first-order autoregressive model with dependent errors which are modeled as a mildly-explosive AR(1) process. We prove that the estimator has a Cauchy ... More

Using Neural Network for Identifying Clickbaits in Online News MediaJun 20 2018Online news media sometimes use misleading headlines to lure users to open the news article. These catchy headlines that attract users but disappointed them at the end, are called Clickbaits. Because of the importance of automatic clickbait detection ... More

Fixed-Size Ordinally Forgetting Encoding Based Word Sense DisambiguationFeb 23 2019In this paper, we present our method of using fixed-size ordinally forgetting encoding (FOFE) to solve the word sense disambiguation (WSD) problem. FOFE enables us to encode variable-length sequence of words into a theoretically unique fixed-size representation ... More

Total proper connection of graphsDec 02 2015A graph is said to be {\it total-colored} if all the edges and the vertices of the graph is colored. A path in a total-colored graph is a {\it total proper path} if $(i)$ any two adjacent edges on the path differ in color, $(ii)$ any two internal adjacent ... More

More on total monochromatic connection of graphsApr 08 2016A graph is said to be {\it total-colored} if all the edges and the vertices of the graph are colored. A total-coloring of a graph is a {\it total monochromatically-connecting coloring} ({\it TMC-coloring}, for short) if any two vertices of the graph are ... More

Superradiance-driven Phonon LaserFeb 16 2018We propose to enhance the generation of a phonon laser by exploiting optical superradiance. In our scheme, the optomechanical cavity contains a movable membrane, which supports a mechanical mode, and the superradiance cavity can generate the coherent ... More

The uniform local asymptotics of the total net loss process in a new time-dependent bidimensional renewal modelJun 15 2017In this paper, we consider a bidimensional renewal risk model with constant force of interest, in which the claim size vector with certain local subexponential marginal distribution and its inter-arrival time are subject to a new time-dependence structure. ... More

Effective Context and Fragment Feature Usage for Named Entity RecognitionApr 05 2019Apr 21 2019In this paper, we explore a new approach to named entity recognition (NER) with the goal of learning from context and fragment features more effectively, contributing to the improvement of overall recognition performance. We use the recent fixed-size ... More

Erdős-Gallai-type results for total monochromatic connection of graphsDec 16 2016A graph is said to be {\it total-colored} if all the edges and the vertices of the graph are colored. A total-coloring of a graph is a {\it total monochromatically-connecting coloring} ({\it TMC-coloring}, for short) if any two vertices of the graph are ... More

Moderate deviations for the mildly stationary autoregressive models with dependent errorsOct 10 2015In this paper, we consider the normalized least squares estimator of the parameter in a mildly stationary first-order autoregressive model with dependent errors which are modeled as a mildly stationary AR(1) process. By martingale methods, we establish ... More

Good upper bounds for the total rainbow connection of graphsJan 08 2015A total-colored graph is a graph $G$ such that both all edges and all vertices of $G$ are colored. A path in a total-colored graph $G$ is a total rainbow path if its edges and internal vertices have distinct colors. A total-colored graph $G$ is total-rainbow ... More

Total monochromatic connection of graphsJan 13 2016A graph is said to be {\it total-colored} if all the edges and the vertices of the graph are colored. A path in a total-colored graph is a {\it total monochromatic path} if all the edges and internal vertices on the path have the same color. A total-coloring ... More

A New Perspective on Machine Learning: How to do Perfect Supervised LearningJan 07 2019Jan 19 2019In this work, we introduce the concept of bandlimiting into the theory of machine learning because all physical processes are bandlimited by nature, including real-world machine learning tasks. After the bandlimiting constraint is taken into account, ... More

Early monsoon drought and mid-summer vapor pressure deficit induce growth cessation of lower margin Picea crassifoliaJan 20 2017Nov 24 2017Extreme climatic events have been shown to be strong drivers of tree growth, forest dynamics, and range contraction. Here we study the climatic drivers of Picea crassifolia Kom., an endemic to northwest China where climate has significantly warmed. Picea ... More

A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language ModelsMay 06 2015Jun 16 2015In this paper, we propose the new fixed-size ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size representation. FOFE can model the word order in a sequence using a simple ... More

Chiral Symmetry of Double-Walled Carbon Nanotubes detected in First-principles Optical Absorption SpectraJul 16 2007Jul 17 2007The linear polarizability absorption spectra of the double-walled carbon nanotubes (DWNTs) have been calculated by using the tight-binding (TB) model and sum-over-state (SOS) method, supplemented by the first principles CASTEP calculations. It is found ... More

Efficiently estimating small p-values in permutation tests using importance sampling and cross-entropy methodJul 30 2016Permutation tests are commonly used for estimating p-values from statistical hypothesis testing when the sampling distribution of the test statistic under the null hypothesis is not available or unreliable for finite sample sizes. One critical challenge ... More

Part-of-Speech Relevance Weights for Learning Word EmbeddingsMar 24 2016This paper proposes a model to learn word embeddings with weighted contexts based on part-of-speech (POS) relevance weights. POS is a fundamental element in natural language. However, state-of-the-art word embedding models fail to consider it. This paper ... More

Vortex Lattices in the Bose-Fermi Superfluid MixtureJun 28 2016In this letter we show that the vortex lattice structure in the Bose-Fermi superfluid mixture can undergo a sequence of structure transitions when the Fermi superfluid is tuned from the BCS regime to the BEC regime. This is due to different vortex core ... More

An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing ModelAug 09 2015Nov 04 2016Most of the syntax-based metrics obtain the similarity by comparing the sub-structures extracted from the trees of hypothesis and reference. These sub-structures are defined by human and can't express all the information in the trees because of the limited ... More

On (strong) proper vertex-connection of graphsMay 19 2015A path in a vertex-colored graph is a {\it vertex-proper path} if any two internal adjacent vertices differ in color. A vertex-colored graph is {\it proper vertex $k$-connected} if any two vertices of the graph are connected by $k$ disjoint vertex-proper ... More

UAV-Involved Wireless Physical-Layer Secure Communications: Overview and Research DirectionsJun 24 2019Due to their flexible deployment and on-demand mobility, small-scale unmanned aerial vehicles (UAVs) are anticipated to be involved in widespread communication applications in the forthcoming fifth-generation (5G) networks. However, the confidentiality ... More

Circular photogalvanic effect induced by near-infrared radiation in InAs quantum wires patterned quasi two-dimensional electron systemApr 22 2011In this work we investigated the InAs/InAlAs quantum wires (QWRs) superlattice by optically exciting the structure with near-infrared radiation. By varying the helicity of the radiation at room temperature we observed the circular photogalvanic effect ... More

Fast Approximation of Small p-values in Permutation Tests by Partitioning the PermutationsMay 12 2016Mar 11 2017Researchers in genetics and other life sciences commonly use permutation tests to evaluate differences between groups. Permutation tests have desirable properties, including exactness if data are exchangeable, and are applicable even when the distribution ... More

DropFilter: A Novel Regularization Method for Learning Convolutional Neural NetworksNov 16 2018Nov 19 2018The past few years have witnessed the fast development of different regularization methods for deep learning models such as fully-connected deep neural networks (DNNs) and Convolutional Neural Networks (CNNs). Most of previous methods mainly consider ... More

Generating images with recurrent adversarial networksFeb 16 2016Dec 13 2016Gatys et al. (2015) showed that optimizing pixels to match features in a convolutional network with respect reference image features is a way to render images of high visual quality. We show that unrolling this gradient-based optimization yields a recurrent ... More

Feedforward Sequential Memory Neural Networks without Recurrent FeedbackOct 09 2015We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term dependency without using recurrent feedback. The proposed FSMN is a standard feedforward neural networks equipped ... More

Weak Decays of Doubly Heavy Baryons: ${\cal B}_{cc}\to {\cal B}_c V$Oct 01 2018Nov 23 2018The weak decays of a spin-$1/2$ doubly charm baryon (${\cal B}_{cc}$) to a spin-$1/2$ singly charm baryon (${\cal B}_c$) and a light vector meson ($V$) are studied under a phenomenological scheme. The contributions are classified into different topological ... More

Non-Abelian vortices in the emergent U(2) gauge theory of the Hubbard modelFeb 21 2012Mar 05 2012By the spin-fermion formula, the Hubbard model on the honeycomb lattice is represented by a U(2) gauge theory in the mean field method, non-Abelian vortex solutions are constructed based on this theory. The quantization condition shows that the magnetic ... More

Bandlimiting Neural Networks Against Adversarial AttacksMay 30 2019In this paper, we study the adversarial attack and defence problem in deep learning from the perspective of Fourier analysis. We first explicitly compute the Fourier transform of deep ReLU neural networks and show that there exist decaying but non-zero ... More

Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation MetricsAug 10 2015Nov 04 2016The widely-used automatic evaluation metrics cannot adequately reflect the fluency of the translations. The n-gram-based metrics, like BLEU, limit the maximum length of matched fragments to n and cannot catch the matched fragments longer than n, so they ... More

A Unified Model for Differential Expression Analysis of RNA-seq Data via L1-Penalized Linear RegressionOct 11 2016The RNA-sequencing (RNA-seq) is becoming increasingly popular for quantifying gene expression levels. Since the RNA-seq measurements are relative in nature, between-sample normalization of counts is an essential step in differential expression (DE) analysis. ... More

Residual proton-neutron interactions and the $N_{\rm p} N_{\rm n}$ schemeJul 14 2010We investigate the correlation between integrated proton-neutron interactions obtained by using the up-to-date experimental data of binding energies and the $N_{\rm p} N_{\rm n}$, the product of valence proton number and valence neutron number with respect ... More

Doubly-charged scalar in rare decays of $B_c$ mesonFeb 09 2018In this paper, we study the lepton number violation processes of $B_c$ meson induced by possible doubly-charged scalars. Both the three-body decay channels and the four-body decay channels are considered. For the former, $Br\times\left(\frac{s_\Delta ... More

Distraction-Based Neural Networks for Document SummarizationOct 26 2016Distributed representation learned with neural networks has recently shown to be effective in modeling natural languages at fine granularities such as words, phrases, and even sentences. Whether and how such an approach can be extended to help model larger ... More

The rapidity and thermal motion induced transverse momentum distributions of identified charged particles produced in Au-Au collisions at RHIC energiesNov 04 2016Feb 03 2017It is widely believed that the quark-gluon plasma (QGP) might be formed in the current heavy ion collisions. It is also widely recognized that the relativistic hydrodynamics is one of the best tools for describing the process of expansion and particlization ... More

Characterization of Lifshitz transitions in topological nodal line semimetalsNov 14 2017We introduce a two-band model of three-dimensional nodal line semimetals, the Fermi surface of which at half-filling may form various one-dimensional configurations of different topology. We study the symmetries and "drumhead" surface states of the model, ... More

On the values of representation functions IIApr 23 2019For a set $A$ of nonnegative integers, let $R_2(A,n)$ and $R_3(A,n)$ denote the number of solutions to $n=a+a'$ with $a,a'\in A$, $a<a'$ and $a\leq a'$, respectively. In this paper, we prove that, if $A\subseteq \mathbb{N}$ and $N$ is a positive integer ... More

A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge BasesMar 29 2019Question answering over knowledge base (KB-QA) has recently become a popular research topic in NLP. One popular way to solve the KB-QA problem is to make use of a pipeline of several NLP modules, including entity discovery and linking (EDL) and relation ... More

The stability and energy exchange mechanism of divergent states with real energyMar 10 2017Mar 15 2018The eigenvalue of the hermitic Hamiltonian is real undoubtedly. Actually, The reality can also be guaranteed by the $PT$-symmetry. The hermiticity and the $PT$-symmetric quantum theory both have requirements regarding the boundary condition. There exists ... More

Neural Networks Models for Entity Discovery and LinkingNov 11 2016This paper describes the USTC_NELSLIP systems submitted to the Trilingual Entity Detection and Linking (EDL) track in 2016 TAC Knowledge Base Population (KBP) contests. We have built two systems for entity discovery and mention detection (MD): one uses ... More

Floquet-state Maser under Real-time Quantum Feedback ControlJan 04 2019We experimentally observe a multi-mode Floquet-state maser in a periodically driven two-level system of pumped $^{129}$Xe atoms with real-time feedback control. The demonstrated maser is based on the Floquet synthetic states and shows, in principle, unlimited ... More

A description of the transverse momentum distributions of charged particles produced in heavy ion collisions at RHIC and LHC energiesNov 07 2017By assuming the existing of memory effects and long-range interactions in the hot and dense matter produced in high energy heavy ion collisions, the nonextensive statistics together with the relativistic hydrodynamics including phase transition is used ... More

A stabilized semi-implicit Fourier spectral method for nonlinear space-fractional reaction-diffusion equationsApr 16 2019The reaction-diffusion model can generate a wide variety of spatial patterns, which has been widely applied in chemistry, biology, and physics, even used to explain self-regulated pattern formation in the developing animal embryo. In this work, a second-order ... More

Freezing motion-induced dephasing in an atomic-ensemble quantum memoryApr 12 2016Motion-induced dephasing is a dominant decoherence mechanism for atom-gas quantum memories. In this paper, we develop a new coherent manipulation technique which enables arbitrary engineering of the spin-wave momentum with neglectable noise. By zeroing ... More

P-splines with an l1 penalty for repeated measuresJul 27 2017Jul 22 2018P-splines are penalized B-splines, in which finite order differences in coefficients are typically penalized with an $\ell_2$ norm. P-splines can be used for semiparametric regression and can include random effects to account for within-subject variability. ... More

Geometrical meaning of winding number and its characterization of topological phases in one-dimensional chiral non-Hermitian systemsFeb 12 2018Apr 17 2018We unveil the geometrical meaning of winding number and utilize it to characterize the topological phases in one-dimensional chiral non-Hermitian systems. While chiral symmetry ensures the winding number of Hermitian systems being integers, it can take ... More

Degree distribution of the visibility graphs mapped from fractional Brownian motions and multifractal random walksDec 11 2008May 12 2009The dynamics of a complex system is usually recorded in the form of time series, which can be studied through its visibility graph from a complex network perspective. We investigate the visibility graphs extracted from fractional Brownian motions and ... More

The Strong Decays of Orbitally Excited $B^{*}_{sJ}$ Mesons by Improved Bethe-Salpeter MethodFeb 06 2012We calculate the masses and the strong decays of orbitally excited states $B_{s0}$, $B'_{s1}$, $B_{s1}$ and $B_{s2}$ by the improved Bethe-Salpeter method. The predicted masses of $B_{s0}$ and $B'_{s1}$ are $M_{B_{s0}}=5.723\pm0.280 {\rm GeV}$, $M_{B'_{s1}}=5.774\pm0.330 ... More

Strong decays of $D_{3}^{\ast}(2760)$, $D_{s3}^{\ast}(2860)$, $B_{3}^{\ast}$, and $B_{s3}^{\ast}$Oct 17 2016In this paper, we study the OZI-allowed two-body strong decays of $3^-$ heavy-light mesons. Experimentally the charmed $D_{3}^{\ast}(2760)$ and the charm-strange $D_{s3}^{\ast}(2860)$ states with these quantum numbers have been discovered. For the bottomed ... More

The Strong Decays of X(3940) and X(4160)Aug 18 2016Dec 06 2016The new mesons $X(3940)$ and $X(4160)$ have been found by Belle Collaboration in the processes $e^+e^-\to J/\psi D^{(*)}\bar D^{(*)}$. Considering $X(3940)$ and $X(4160)$ as $\eta_c(3S)$ and $\eta_c(4S)$ states, the two-body open charm OZI-allowed strong ... More

Highly birefringent polymer terahertz fiber with honeycomb claddingNov 05 2011Two highly birefringent polymer terahertz (THz) fibers were proposed in this paper, which were formed with honeycomb cladding and some elliptical air holes in the fiber core. The losses and mode birefringence for two different fibers are investigated ... More

Scale-invariance of human EEG signals in sleepMar 12 2007We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By using a modified random walk method, We demonstrate that the scale-invariance is embedded in EEG signals after a detrending procedure. Further more, we ... More

Effects of attachment preferences on coevolution of opinions and networksNov 08 2009In the coevolution of network structures and opinion formation, we investigate the effects of a mixed population with distinctive relinking preferences on both the convergence time and the network structures. It has been found that a heterogeneous network ... More

Operating Spin Echo in the Quantum Regime for an Atomic-Ensemble Quantum MemoryJan 26 2015Spin echo is a powerful technique to extend atomic or nuclear coherence time by overcoming the dephasing due to inhomogeneous broadening. However, applying this technique to an ensemble-based quantum memory at single-quanta level remains challenging. ... More

A possible explanation of the knee of cosmic light component spectrum from 100 TeV to 3 PeVJul 18 2017The mixed Hydrogen and Helium (H + He) spectrum with a clear steepening at $\sim 700$ TeV has been detected by ARGO-YBJ experiments. In this paper, we demonstrate that the observed H + He spectrum can be well reproduced with the model of cosmic rays escaping ... More

The Strong Decays of $P-$wave Mixing Heavy-Light $1^+$ StatesMar 19 2018Many $P-$wave mixing heavy-light $1^+$ states have not been discovered by experiment, some of them have been discovered but without the information of width, or with large uncertainty widths. In this paper, we study the strong decays of $P-$wave mixing ... More

Enhanced LSTM for Natural Language InferenceSep 20 2016Apr 26 2017Reasoning and inference are central to human and artificial intelligence. Modeling inference in human language is very challenging. With the availability of large annotated data (Bowman et al., 2015), it has recently become feasible to train neural network ... More

OpenMPL: An Open Source Layout DecomposerSep 20 2018Oct 31 2018Multiple patterning lithography (MPL) has been widely adopted in advanced technology nodes of VLSI manufacturing. As a key step in the design flow, layout decomposition for MPL is critical to design closure. Various algorithms have been proposed to speedup ... More

Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time seriesAug 18 2012Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC) and to compare their performance, no clear consensus exists on what is the best method and under which conditions. In addition, synthetic tests suggest that ... More

Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema ChallengeNov 13 2016Dec 22 2016In this paper, we propose commonsense knowledge enhanced embeddings (KEE) for solving the Pronoun Disambiguation Problems (PDP). The PDP task we investigate in this paper is a complex coreference resolution task which requires the utilization of commonsense ... More

Valley-polarized quantum anomalous Hall phase and disorder induced valley-filtered chiral edge channelsDec 25 2014We investigate the topological and transport properties of the recently discovered valley-polarized quantum anomalous Hall (VQAH) phase. In single layer, the phase is realized through the competition between two types of spin-orbit coupling, which breaks ... More

Probabilistic Reasoning via Deep Learning: Neural Association ModelsMar 24 2016Aug 03 2016In this paper, we propose a new deep learning approach, called neural association model (NAM), for probabilistic reasoning in artificial intelligence. We propose to use neural networks to model association between any two events in a domain. Neural networks ... More

Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTCJul 21 2018Grant-free transmission is considered as a promising technology to support sporadic data transmission in massive machine-type communications (mMTC). Due to the distributed manner, high collision probability is an inherent drawback of grant-free access ... More

Illusion Media: Generating Virtual Objects Using Realizable MetamaterialsSep 20 2009Apr 03 2010We propose a class of optical transformation media, illusion media, which render the enclosed object invisible and generate one or more virtual objects as desired. We apply the proposed media to design a microwave device, which transforms an actual object ... More

A class of line-transformed cloaks with easily-realizable constitutive parametersOct 13 2009We propose a class of line-transformed cylindrical cloaks which have easily-realizable constitutive parameters. The scattering properties of such cloaks have been investigated numerically for both transverse-electric (TE) and transverse-magnetic (TM) ... More

Integrated Energy Exchange Scheduling for Multi-microgrid System with Electric VehiclesFeb 24 2016Electric vehicles (EVs) can be considered as flexible mobile battery storages in microgrids. For multiple microgrids in an area, coordinated scheduling on charging and discharging are required to avoid power exchange spikes between the multimicrogrid ... More

The relationship between the radio core-dominance parameter and spectral index in different classes of extragalactic radio sources (II)Nov 21 2018Active galactic nuclei (AGNs) can be divided into two major classes, namely radio loud and radio quiet AGNs. A small subset of the radio-loud AGNs is called blazars, which are believed to be unified with Fanaroff & Riley type I/II (FRI/II) radio galaxies. ... More

Scaling and memory in the non-poisson process of limit order cancelationOct 31 2009The order submission and cancelation processes are two crucial aspects in the price formation of stocks traded in order-driven markets. We investigate the dynamics of order cancelation by studying the statistical properties of inter-cancelation durations ... More

Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data AnalysisMar 09 2018May 03 2018Small $p$-values are often required to be accurately estimated in large scale genomic studies for the adjustment of multiple hypothesis tests and the ranking of genomic features based on their statistical significance. For those complicated test statistics ... More

Computational Aspects of Optional Pólya TreeSep 21 2013Optional P\'{o}lya Tree (OPT) is a flexible non-parametric Bayesian model for density estimation. Despite its merits, the computation for OPT inference is challenging. In this paper we present time complexity analysis for OPT inference and propose two ... More

Isgur-Wise function in $B_c$ decays to charmonium with the Bethe-Salpeter methodMay 30 2019The Isgur-Wise function vastly reduces the weak-decay form factors of ground heavy mesons. In this paper, we extract the Isgur-Wise functions from the instantaneous Bethe-Salpeter method, and give the numerical results for the $B_c$ decays to charmonium ... More

SUSY charged Higgs boson pair production via gluon-gluon collisionsAug 21 1997Nov 20 1997The production of charged Higgs boson pairs from gluon-gluon fusion is studied in the minimal supersymmetric model(MSSM) at proton-proton colliders. We find that the contribution of the scalar quark loops to the subprocess production rate is substantial ... More

Arbitrary Rotation of a Single Spinwave Qubit in an Atomic-Ensemble Quantum MemoryJan 28 2015We report the first experimental realization of single-qubit manipulation for single spinwaves stored in an atomic ensemble quantum memory. In order to have high-fidelity gate operations, we make use of stimulated Raman transition and controlled Lamor ... More