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Results for "Yang Liu"

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Received Signal Strength Based Wireless Source Localization with Inexact Anchor PositionAug 09 2019Received signal strength(RSS)-based approach of wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inexact ... More
Hypergeometric function and Modular Curvature I. --Hypergeometric functions in Heat CoefficientsOct 21 2018Jan 13 2019We give a three-fold upgrade to the rearrangement lemma (pioneer by Connes-Tretkoff-Moscovici) base on the functional analytic ground laid by Lesch. First, we show that the building blocks of the spectral functions appeared in the lemma belong to a class ... More
Scalar curvature in conformal geometry of Connes-Landi noncommutative manifoldsNov 27 2016We first propose a conformal geometry for Connes-Landi noncommutative manifolds and study the associated scalar curvature. The new scalar curvature contains its Riemannian counterpart as the commutative limit. Similar to the results on noncommutative ... More
Strong solutions to the Cauchy problem of the two-dimensional compressible Navier-Stokes-Smoluchowski equations with vacuumAug 29 2016This paper studies the local existence of strong solutions to the Cauchy problem of the 2D fluid-particle interaction model with vacuum as far field density. Notice that the technique used by Ding et al.\cite{SBH} for the corresponding 3D local well-posedness ... More
Received Signal Strength Based Wireless Source Localization with Inexact Anchor PositionAug 09 2019Aug 12 2019Received signal strength(RSS)-based approach of wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inexact ... More
Modular curvature for toric noncommutative manifoldsOct 15 2015Jun 25 2016A general question behind this paper is to explore a good notion for intrinsic curvature in the framework of noncommutative geometry started by Alain Connes in the 80s. It has only recently begun (2014) to be comprehended via the intensive study of modular ... More
Intelligent Processing in Vehicular Ad hoc Networks: a SurveyMar 28 2019The intelligent Processing technique is more and more attractive to researchers due to its ability to deal with key problems in Vehicular Ad hoc networks. However, several problems in applying intelligent processing technologies in VANETs remain open. ... More
Fine-tune BERT for Extractive SummarizationMar 25 2019BERT, a pre-trained Transformer model, has achieved ground-breaking performance on multiple NLP tasks. In this paper, we describe BERTSUM, a simple variant of BERT, for extractive summarization. Our system is the state of the art on the CNN/Dailymail ... More
A Hierarchical Butterfly LU Preconditioner for Two-Dimensional Electromagnetic Scattering Problems Involving Open SurfacesJan 31 2019This paper introduces a hierarchical interpolative decomposition butterfly-LU factorization (H-IDBF-LU) preconditioner for solving two-dimensional electric-field integral equations (EFIEs) in electromagnetic scattering problems of perfect electrically ... More
Group Learning and Opinion Diffusion in a Broadcast NetworkSep 14 2013We analyze the following group learning problem in the context of opinion diffusion: Consider a network with $M$ users, each facing $N$ options. In a discrete time setting, at each time step, each user chooses $K$ out of the $N$ options, and receive randomly ... More
Exploiting Unlabeled Data for Neural Grammatical Error DetectionNov 28 2016Nov 29 2016Identifying and correcting grammatical errors in the text written by non-native writers has received increasing attention in recent years. Although a number of annotated corpora have been established to facilitate data-driven grammatical error detection ... More
The multiplier and cohomology of Lie superalgebrasNov 01 2018In this paper, all (super)algebras are over a field $\mathbb{F}$ of characteristic different from $2, 3$. We construct the so-called 5-sequences of cohomology for central extensions of a Lie superalgebra and prove that they are exact. Then we prove that ... More
Identify the stiffness of DNA via deep learningAug 04 2019DNA detection is of great significance in the point-of-care diagnostics. The stiffness of DNA, varying with its sequence and mechanochemical environment, could be a potential marker for DNA identification. The steric configurations of DNA fragments with ... More
Operator perturbation theory in the backward Heisenberg pictureApr 23 2012We present a simple operator perturbation theory in the backward Heisenberg picture. Compared with the well-known Heisenberg picture, the revised picture is based on the backward time instead of the forward time. The unique feature of the uncommon picture ... More
Orbital-selective Mott phase of Cu-substituted iron-based SuperconductorsJul 07 2016We study the phase transition in Cu-substituted iron-based superconductors with a new developed real-space Green's function method. We find that Cu substitution has strong effect on the orbital-selective Mott transition introduced by the Hund's rule coupling. ... More
On the Feasibility of Linear Interference Alignment for MIMO Interference Broadcast Channels with Constant CoefficientsJul 06 2012Mar 05 2013In this paper, we analyze the feasibility of linear interference alignment (IA) for multi-input-multi-output (MIMO) interference broadcast channel (MIMO-IBC) with constant coefficients. We pose and prove the necessary conditions of linear IA feasibility ... More
Flexible, solid electrolyte-based lithium battery composed of LiFePO4 cathode and Li4Ti5O10 anode for applications in smart textilesJun 21 2011Nov 28 2011Here we report fabrication of flexible and stretchable battery composed of strain free LiFePO4 cathode, Li4Ti5O10 anode and a solid poly ethylene oxide (PEO) electrolyte as a separator layer. The battery is developed in a view of smart textile applications. ... More
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional ModelsDec 30 2014Jan 21 2015We consider the problem of uncertainty assessment for low dimensional components in high dimensional models. Specifically, we propose a decorrelated score function to handle the impact of high dimensional nuisance parameters. We consider both hypothesis ... More
Power System Simulation Using the Differential Transformation MethodFeb 12 2018This paper proposes a new semi-analytical approach for online time-domain power system simulation. The approach applies the differential transformation method (DTM) to the power system differential equation model to offline derive a semi-analytical solution ... More
Solving Power System Differential Algebraic Equations Using Differential TransformationMar 03 2019May 16 2019This paper proposes a novel non-iterative method to solve power system differential algebraic equations (DAEs) using the differential transformation, a mathematical tool that can obtain power series coefficients by transformation rules instead of calculating ... More
Implanting Rational Knowledge into Distributed Representation at Morpheme LevelNov 26 2018Previously, researchers paid no attention to the creation of unambiguous morpheme embeddings independent from the corpus, while such information plays an important role in expressing the exact meanings of words for parataxis languages like Chinese. In ... More
BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow ImagesSep 07 2018Bubble segmentation and size detection algorithms have been developed in recent years for their high efficiency and accuracy in measuring bubbly two-phase flows. In this work, we proposed an architecture called bubble generative adversarial networks (BubGAN) ... More
Minimal complex surfaces with Levi-Civita Ricci-flat metricsJun 05 2017This is a continuation of our previous paper [14]. In [14], we introduced the first Aeppli-Chern class on compact complex manifolds, and proved that the $(1,1)$ curvature form of the Levi-Civita connection represents the first Aeppli-Chern class which ... More
Ricci Curvatures on Hermitian manifoldsApr 09 2014May 21 2016In this paper, we introduce the first Aeppli-Chern class for complex manifolds and show that the $(1,1)$- component of the curvature $2$-form of the Levi-Civita connection on the anti-canonical line bundle represents this class. We systematically investigate ... More
Characterizations of BMO Associated with Gauss Measures via Commutators of Local Fractional IntegralsMar 23 2009Mar 28 2009Let $d\gamma(x)\equiv\pi^{-n/2}e^{-|x|^2}dx$ for all $x\in{\mathbb R}^n$ be the Gauss measure on ${\mathbb R}^n$. In this paper, the authors establish the characterizations of the space BMO$(\gamma)$ of Mauceri and Meda via commutators of either local ... More
Moduli spaces as ball quotients I, local theoryOct 25 2018We give a Hodge theoretic criterion to characterize locally the period domains of certain projective manifolds to be complex balls.
Sequential Peer Prediction: Learning to Elicit Effort using Posted PricesNov 28 2016Peer prediction mechanisms are often adopted to elicit truthful contributions from crowd workers when no ground-truth verification is available. Recently, mechanisms of this type have been developed to incentivize effort exertion, in addition to truthful ... More
Learning to Incentivize: Eliciting Effort via Output AgreementApr 17 2016In crowdsourcing when there is a lack of verification for contributed answers, output agreement mechanisms are often used to incentivize participants to provide truthful answers when the correct answer is hold by the majority. In this paper, we focus ... More
Predictive Inference for Spatio-temporal Precipitation Data and Its ExtremesNov 18 2014Modelling of precipitation and its extremes is important for urban and agriculture planning purposes. We present a method for producing spatial predictions and measures of uncertainty for spatio-temporal data that is heavy-tailed and subject to substaintial ... More
Sequential Peer Prediction: Learning to Elicit Effort using Posted PricesNov 28 2016Dec 02 2016Peer prediction mechanisms are often adopted to elicit truthful contributions from crowd workers when no ground-truth verification is available. Recently, mechanisms of this type have been developed to incentivize effort exertion, in addition to truthful ... More
Energy Efficiency of Downlink Networks with Caching at Base StationsMay 25 2015Apr 06 2016Caching popular contents at base stations (BSs) can reduce the backhaul cost and improve the network throughput. Yet whether locally caching at the BSs can improve the energy efficiency (EE), a major goal for 5th generation cellular networks, remains ... More
Proceedings Third International Workshop on Engineering Safety and Security SystemsMay 03 2014The International Workshop on Engineering Safety and Security Systems (ESSS) aims at contributing to the challenge of constructing reliable and secure systems. The workshop covers areas such as formal specification, type checking, model checking, program ... More
Multiplex Structures: Patterns of Complexity in Real-World NetworksSep 10 2010Sep 14 2010Complex network theory aims to model and analyze complex systems that consist of multiple and interdependent components. Among all studies on complex networks, topological structure analysis is of the most fundamental importance, as it represents a natural ... More
Hierarchical Transformers for Multi-Document SummarizationMay 30 2019In this paper, we develop a neural summarization model which can effectively process multiple input documents and distill Transformer architecture with the ability to encode documents in a hierarchical manner. We represent cross-document relationships ... More
Proactive rebalancing and speed-up techniques for on-demand high capacity vehicle poolingFeb 09 2019By proposing speed-up techniques and a proactive rebalance algorithm, we improve the Mobility-on-Demand fleet management approach in [1] on both computational performance and system performance. The speed-up techniques comprise search space pruning and ... More
A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the WildDec 29 2018Contactless and online palmprint identfication offers improved user convenience, hygiene, user-security and is highly desirable in a range of applications. This technical report details an accurate and generalizable deep learning-based framework to detect ... More
BGG category for the quantum Schrödinger algebraApr 29 2019In this paper, we study the BGG category $\mathcal{O}$ for the quantum Schr{\"o}dinger algebra $U_q(\mathfrak{s})$, where $q$ is a nonzero complex number which is not a root of unity. If the central charge $\dot z\neq 0$, using the module $B_{\dot z}$ ... More
Magneto-hydrodynamical Model for PlasmaJan 24 2016Dec 08 2016Based on the Newton's second law and the Maxwell equations for the electromagnetic fields, we establish a new 3D incompressible magneto-hydrodynamics(MHD) equations for the motion of plasma under the standard Coulomb gauge. By using the Galerkin method, ... More
Contrastive Unsupervised Word Alignment with Non-Local FeaturesOct 08 2014Oct 10 2014Word alignment is an important natural language processing task that indicates the correspondence between natural languages. Recently, unsupervised learning of log-linear models for word alignment has received considerable attention as it combines the ... More
Global Strong Solution of a 2D coupled Parabolic-Hyperbolic Magnetohydrodynamic SystemJan 29 2017The main objective of this paper is to study the global strong solution of the parabolic-hyperbolic incompressible magnetohydrodynamic (MHD) model in two dimensional space. Based on Agmon, Douglis and Nirenberg's estimates for the stationary Stokes equation ... More
On cohomology of filiform Lie superalgebrasSep 03 2018Suppose the ground field $\mathbb{F}$ is an algebraically closed field of characteristic different from 2, 3. We determine the Betti numbers and make a decomposition of the associative superalgebra of the cohomology for the model filiform Lie superalgebra. ... More
Effective vanishing theorems for ample and globally generated vector bundlesMar 13 2013Jul 22 2015By proving an integral formula of the curvature tensor of $E\ts \det E$, we observe that the curvature tensor of $E\ts \det E$ is very similar to that of a line bundle and obtain certain new Kodaira-Akizuki-Nakano type vanishing theorems for vector bundles. ... More
A mean value formula of sub-p-Laplace parabolic equations on the Heisenberg groupFeb 03 2013We derive two equivalent definitions of the viscosity solutions to the homogeneous sub-p- Laplace parabolic equations on the Heisenberg group, and characterize the viscosity solutions in terms of an asymptotic mean value formula. Moreover, we construct ... More
Algebraicity of the image of period mapAug 22 2016We prove that the image of period map is algebraic, as conjectured by Griffiths.
Global Torelli Theorem for Projective Manifolds of Calabi-Yau TypeMay 18 2012Sep 05 2016We prove that the period maps from the Torelli space and the moduli space with level $m$ structure of Calabi-Yau type manifolds to the corresponding period domain of polarized Hodge structures are injective. The proof is based on the construction of holomorphic ... More
Blocks of group algebras are derived simpleApr 04 2011A derived version of Maschke's theorem for finite groups is proved: the derived categories, bounded or unbounded, of all blocks of the group algebra of a finite group are simple, in the sense that they admit no nontrivial recollements. This result is ... More
A Faster Local Algorithm for Detecting Bounded-Size Cuts with Applications to Higher-Connectivity ProblemsApr 17 2019Apr 22 2019Consider the following "local" cut-detection problem in a directed graph: We are given a starting vertex $s$ and need to detect whether there is a cut with at most $k$ edges crossing the cut such that the side of the cut containing $s$ has at most $\Delta$ ... More
Density Estimation on a NetworkJun 22 2019This paper develops a novel approach to density estimation on a network. We formulate nonparametric density estimation on a network as a nonparametric regression problem by binning. Nonparametric regression using local polynomial kernel-weighted least ... More
Cross-Graph Learning of Multi-Relational AssociationsMay 06 2016Cross-graph Relational Learning (CGRL) refers to the problem of predicting the strengths or labels of multi-relational tuples of heterogeneous object types, through the joint inference over multiple graphs which specify the internal connections among ... More
Comprehend DeepWalk as Matrix FactorizationJan 02 2015Word2vec, as an efficient tool for learning vector representation of words has shown its effectiveness in many natural language processing tasks. Mikolov et al. issued Skip-Gram and Negative Sampling model for developing this toolbox. Perozzi et al. introduced ... More
A Faster Local Algorithm for Detecting Bounded-Size Cuts with Applications to Higher-Connectivity ProblemsApr 17 2019Consider the following "local" cut-detection problem in a directed graph: We are given a starting vertex $s$ and need to detect whether there is a cut with at most $k$ edges crossing the cut such that the side of the cut containing $s$ has at most $\Delta$ ... More
Caching at Base Stations with Heterogeneous User Demands and Spatial LocalityOct 27 2017Oct 26 2018Existing proactive caching policies are designed by assuming that all users request contents with identical activity level at uniformly-distributed or known locations, among which most of the policies are optimized by assuming that user preference is ... More
Caching Policy Toward Maximal Success Probability and Area Spectral Efficiency of Cache-enabled HetNetsAug 12 2016Apr 28 2017In this paper, we investigate the optimal caching policy respectively maximizing the success probability and area spectral efficiency (ASE) in a cache-enabled heterogeneous network (HetNet) where a tier of multi-antenna macro base stations (MBSs) is overlaid ... More
A High Fraction of Double-peaked Narrow Emission Lines in Powerful Active Galactic NucleiJun 21 2016Aug 09 2016One percent of redshift z~0.1 Active Galactic Nuclei (AGNs) show velocity splitting of a few hundred km/s in the narrow emission lines in spatially integrated spectra. Such line profiles have been found to arise from the bulk motion of ionized gas clouds ... More
Learning Structured Text RepresentationsMay 25 2017Feb 03 2018In this paper, we focus on learning structure-aware document representations from data without recourse to a discourse parser or additional annotations. Drawing inspiration from recent efforts to empower neural networks with a structural bias, we propose ... More
Temporal Data Fusion at the EdgeJul 28 2019As an enabler technique, data fusion has gained great attention in the context of internet of things (IoT). In traditional settings, data fusion is done at the cloud server. So the data to be fused should be transferred from the sensor nodes to the cloud ... More
A Note on Property Testing Sum of Squares and Multivariate Polynomial InterpolationSep 10 2017In this paper, we investigate property testing whether or not a degree d multivariate poly- nomial is a sum of squares or is far from a sum of squares. We show that if we require that the property tester always accepts YES instances and uses random samples, ... More
Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level AttentionSep 20 2016Recognizing implicit discourse relations is a challenging but important task in the field of Natural Language Processing. For such a complex text processing task, different from previous studies, we argue that it is necessary to repeatedly read the arguments ... More
Two and three electrons on a sphere: A generalized Thomson problemJun 21 2018Generalizing the classical Thomson problem to the quantum regime provides an ideal model to explore the underlying physics regarding electron correlations. In this work, we systematically investigate the combined effects of the geometry of the substrate ... More
One-loop effects on top pair production in the littlest Higgs model with T-parity at the LHCOct 18 2012Aug 27 2013In this work, we systematically investigate the one-loop corrections to $t\bar{t}$ production in the littlest Higgs model with T-parity (LHT) at the LHC for $\sqrt{s}=8,14$ TeV. We focus on the effects of LHT particles on $t\bar{t}$ cross section, polarization ... More
The initial boundary value problem for the Boltzmann equation with soft potentialApr 19 2016Aug 02 2016Boundary effects are central to the dynamics of the dilute particles governed by Boltzmann equation. In this paper, we study both the diffuse reflection and the specular reflection boundary value problems for Boltzmann equation with soft potential, in ... More
Hermitian Harmonic maps and non-degenerate curvaturesFeb 15 2014Mar 26 2014In this paper, we study the existence of various harmonic maps from Hermitian manifolds to Kaehler, Hermitian and Riemannian manifolds respectively. By using refined Bochner formulas on Hermitian (possibly non-Kaehler) manifolds, we derive new rigidity ... More
Boundedness of the images of period maps and applicationsJun 30 2015Aug 22 2016We prove a conjecture of Griffiths on simultaneous normalization of all periods which asserts that the image of the lifted period map on the universal cover lies in a bounded domain in a complex Euclidean space. As an application we prove that the Teichm\"uller ... More
A New Fluid Dynamical Model Coupling Heat with Application to Interior SeparationsJun 23 2016Dec 08 2016Based on the Boussinesq equations and the equation of state, a new fluid dynamical model coupling heat is established. Furthermore, the conditions for interior separation, which are determined by the initial conditions, are obtained. This result is derived ... More
Examples of finite dimensional algebras which do not satisfy the derived Jordan--Hölder propertyApr 03 2017Aug 16 2019We construct a matrix algebra $\Lambda(A,B)$ from two given finite dimensional elementary algebras $A$ and $B$ and give some sufficient conditions on $A$ and $B$ under which the derived Jordan--H\"older property (DJHP) fails for $\Lambda(A,B)$. This provides ... More
Position Estimation of Camera Based on Unsupervised LearningMay 05 2018It is an exciting task to recover the scene's 3d-structure and camera pose from the video sequence. Most of the current solutions divide it into two parts, monocular depth recovery and camera pose estimation. The monocular depth recovery is often studied ... More
Genie Tree and Degrees of Freedom of the Symmetric MIMO Interfering Broadcast ChannelSep 26 2013May 26 2016In this paper, we study the information theoretic maximal degrees of freedom (DoF) for the symmetric multi-input-multi-output (MIMO) interfering broadcast channel (IBC) with arbitrary antenna configurations. For the G-cell K-user MXN MIMO-IBC network, ... More
Energy Partition between Energetic Electrons and Turbulent Magnetic Field in Supernova Remnant RX J1713.7-3946Jun 19 2013Current observations of supernova remnant (SNR) RX J1713.7-3946 favor the leptonic scenario for the TeV emission, where the radio to X-ray emission is produced via the synchrotron process and the $\gamma$-ray emission is produced via the inverse Comptonization ... More
Caching Policy Toward Maximal Success Probability and Area Spectral Efficiency of Cache-enabled HetNetsAug 12 2016In this paper, we investigate the optimal caching policy respectively maximizing the success probability and area spectral efficiency (ASE) in a cache-enabled heterogeneous network (HetNet) where a tier of multi-antenna macro base stations (MBSs) is overlaid ... More
Minimax Analysis of Active LearningOct 03 2014This work establishes distribution-free upper and lower bounds on the minimax label complexity of active learning with general hypothesis classes, under various noise models. The results reveal a number of surprising facts. In particular, under the noise ... More
Selection by Partitioning the Solution PathsJun 23 2016The performances of penalized likelihood approaches profoundly depend on the selection of the tuning parameter; however there has not been a common agreement on the criterion for choosing the tuning parameter. Moreover, penalized likelihood estimation ... More
Phonon Transport in Amorphous-Coated Nanowires: an Atomistic Green Function ApproachOct 15 2003An approach is presented for the atomistic study of phonon transport in real dielectric nanowires via Green functions. The formalism is applied to investigate the phonon flow through nanowires coated by an amorphous material. Examples for a simple model ... More
Optimal Content Placement for Offloading in Cache-enabled Heterogeneous Wireless NetworksApr 12 2016Caching at base stations (BSs) is a promising way to offload traffic and eliminate backhaul bottleneck in heterogeneous networks (HetNets). In this paper, we investigate the optimal content placement maximizing the successful offloading probability in ... More
Information Scaling Law of Deep Neural NetworksFeb 13 2018With the rapid development of Deep Neural Networks (DNNs), various network models that show strong computing power and impressive expressive power are proposed. However, there is no comprehensive informational interpretation of DNNs from the perspective ... More
Penalized regression adjusted causal effect estimates in high dimensional randomized experimentsSep 24 2018Regression adjustments are often considered by investigators to improve the estimation efficiency of causal effect in randomized experiments when there exists many pre-experiment covariates. In this paper, we provide conditions that guarantee the penalized ... More
Contextual Aware Joint Probability Model Towards Question Answering SystemApr 17 2019In this paper, we address the question answering challenge with the SQuAD 2.0 dataset. We design a model architecture which leverages BERT's capability of context-aware word embeddings and BiDAF's context interactive exploration mechanism. By integrating ... More
Geometry of Hermitian manifoldsOct 31 2010Nov 13 2010On Hermitian manifolds, the second Ricci curvature tensors of various metric connections are closely related to the geometry of Hermitian manifolds. By refining the Bochner formulas for any Hermitian complex vector bundle (Riemannain real vector bundle) ... More
On Noisy Negative Curvature Descent: Competing with Gradient Descent for Faster Non-convex OptimizationSep 25 2017Oct 01 2017The Hessian-vector product has been utilized to find a second-order stationary solution with strong complexity guarantee (e.g., almost linear time complexity in the problem's dimensionality). In this paper, we propose to further reduce the number of Hessian-vector ... More
Boundedness of the Images of Period MapsDec 09 2014Sep 03 2015We prove a conjecture of Griffiths on simultaneous normalization of all periods which asserts that the image of the lifted period map on the universal cover lies in a bounded domain in complex Euclidean space.
Surrogate Losses in Passive and Active LearningJul 16 2012Mar 14 2015Active learning is a type of sequential design for supervised machine learning, in which the learning algorithm sequentially requests the labels of selected instances from a large pool of unlabeled data points. The objective is to produce a classifier ... More
Refined Wall-Crossing, Free Fermions and Crystal MeltingOct 02 2010Mar 16 2011In this paper, we use an M-theory model to conjecture the refined reminiscence of the OSV formula connecting the refined topological string partition function with the refined BPS states partition function for the toric Calabi-Yau threefolds without any ... More
Productions of heavy charged leptons via gluon fusion at LHC: A revisitMay 09 2010May 31 2010Heavy charged lepton productions via gluon fusion at the LHC are revisited. Full loop calculations are adopted with an updated parton distribution function and electroweak data. Including contribution from new generation quarks in the loop, pair production ... More
On the Degrees of Freedom of Asymmetric MIMO Interference Broadcast ChannelsOct 28 2013In this paper, we study the degrees of freedom (DoF) of the asymmetric multi-input-multi-output interference broadcast channel (MIMO-IBC). By introducing a notion of connection pattern chain, we generalize the genie chain proposed in [11] to derive and ... More
Validation and Uncertainty Quantification for Wall Boiling Closure Relations in Multiphase-CFD SolverSep 24 2018The two-fluid model based Multiphase Computational Fluid Dynamics (MCFD) has been considered as one of the most promising tools to investigate two-phase flow and boiling system for engineering purposes. The MCFD solver requires closure relations to make ... More
The flare catalog and the flare activity in the Kepler missionMar 04 2019We present a flare catalog of the {\it Kepler} mission using the long-cadence data of Data Release 25. This catalog comprises 3420 flare stars and 162,262 flare events. A comparison shows that the flare catalogs of previous studies are seriously polluted ... More
Regression-adjusted average treatment effect estimates in stratified and sequentially randomized experimentsAug 05 2019Stratified and sequentially randomized experiments are widely used in fields such as agriculture, industry, medical science, economics, and finance. Baseline covariates are often collected for each unit in the experiments. Many researchers use linear ... More
One-loop QCD correction to top pair production in the littlest Higgs model with T-parity at the LHCJul 25 2015In this work, we investigate the one-loop QCD correction to top pair production in the littlest Higgs model with T-parity at the LHC. We calculate the relative correction of the top pair production cross section and top-antitop spin correlation at the ... More
Stochastic Non-convex Optimization with Strong High Probability Second-order ConvergenceOct 25 2017Nov 01 2017In this paper, we study stochastic non-convex optimization with non-convex random functions. Recent studies on non-convex optimization revolve around establishing second-order convergence, i.e., converging to a nearly second-order optimal stationary points. ... More
Adaptive Accelerated Gradient Converging Methods under Holderian Error Bound ConditionNov 23 2016May 14 2017Recent studies have shown that proximal gradient (PG) method and accelerated gradient method (APG) with restarting can enjoy a linear convergence under a weaker condition than strong convexity, namely a quadratic growth condition (QGC). However, the faster ... More
Rate Adaptive Coded Digital Phase ModulationAug 01 2018In this paper, rate adaptive coded Digital Phase Modulation (DPM) schemes based on punctured ring convolutional codes are presented. We first present an upper bound on symbol error probability for punctured convolutional coded Continuous Phase Modulation ... More
Curvatures of direct image sheaves of vector bundles and applications IMar 11 2013Oct 12 2013Let $p:\sXS$ be a proper K\"ahler fibration and $\sE\sX$ a Hermitian holomorphic vector bundle. As motivated by the work of Berndtsson(\cite{Berndtsson09a}), by using basic Hodge theory, we derive several general curvature formulas for the direct image ... More
Hodge metric completion of the moduli space of Calabi-Yau manifoldsMay 01 2013Sep 05 2016In this paper, it is proved that the Hodge metric completion of the moduli space of polarized and marked Calabi-Yau manifolds, i.e. the Torelli space, is a complex affine manifold. As applications we prove that the period map from the Torelli space and ... More
From local Torelli to global TorelliDec 28 2015Sep 05 2016We introduce the notions of strong local Torelli and T-class for polarized manifolds, and prove that strong local Torelli implies global Torelli theorem on the Torelli spaces for polarized manifolds in the T-class. We discuss many new examples of projective ... More
Examples of finite dimensional algebras which do not satisfy the derived Jordan--Hölder propertyApr 03 2017We construct a matrix algebra $\Lambda(A,B)$ from two given finite dimensional elementary algebras $A$ and $B$ and give some sufficient conditions on $A$ and $B$ under which the derived Jordan--H\"older property (DJHP) fails for $\Lambda(A,B)$. This provides ... More
Stratifications of algebras with two simple modulesOct 13 2013Jun 13 2014Let $A$ be a finite-dimensional algebra with two simple modules. It is shown that if the derived category of $A$ admits a stratification with simple factors being the base field $k$, then $A$ is derived equivalent to a quasi-hereditary algebra. As a consequence, ... More
Analytic Constructions of General n-Qubit Controlled GatesAug 24 2007In this Letter, we present two analytic expressions that most generally simulate $n$-qubit controlled-$U$ gates with standard one-qubit gates and CNOT gates using exponential and polynomial complexity respectively. Explicit circuits and general expressions ... More
Secure Federated Transfer LearningDec 08 2018Machine learning relies on the availability of a vast amount of data for training. However, in reality, most data are scattered across different organizations and cannot be easily integrated under many legal and practical constraints. In this paper, we ... More
Generalized Toda mechanics associated with classical Lie algebras and their reductionsJun 10 2003For any classical Lie algebra $g$, we construct a family of integrable generalizations of Toda mechanics labeled a pair of ordered integers $(m,n)$. The universal form of the Lax pair, equations of motion, Hamiltonian as well as Poisson brackets are provided, ... More
Optimal Relay Selection with Non-negligible Probing TimeFeb 09 2015In this paper an optimal relay selection algorithm with non-negligible probing time is proposed and analyzed for cooperative wireless networks. Relay selection has been introduced to solve the degraded bandwidth efficiency problem in cooperative communication. ... More
On Semiparametric Exponential Family Graphical ModelsDec 30 2014Oct 15 2015We propose a new class of semiparametric exponential family graphical models for the analysis of high dimensional mixed data. Different from the existing mixed graphical models, we allow the nodewise conditional distributions to be semiparametric generalized ... More