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On algebras of strongly derived unbounded typeJan 13 2015Let $A$ be a finite-dimensional algebra over an algebraically closed field. We prove $A$ is a strongly derived unbounded algebra if and only if there exists an integer $m$, such that $C_m(\proj A)$, the category of all minimal projective complexes with ... More

Renormalized solutions for the fractional p(x)-Laplacian equation with L^1 dataAug 15 2017In this paper, we prove the existence and uniqueness of nonnegative renormalized solutions for the fractional p(x)-Laplacian problem with L1 data. Our results are new even in the constant exponent fractional p-Laplacian equation case.

The D0 Dimuon Charge Asymmetry and Baryon Asymmetry of the UniverseAug 31 2010The D0 collaboration has reported a 3.2 \sigma deviation from the Standard Model (SM) prediction in the like-sign dimuon charge asymmetry. New physics beyond the SM in B_s - \bar B_s mixing is needed to explain the data. In this paper, we investigate ... More

Alternating Heegaard diagrams and Williams solenoid attractors in 3--manifoldsFeb 03 2015We find all Heegaard diagrams with the property "alternating" or "weakly alternating" on a genus two orientable closed surface. Using these diagrams we give infinitely many genus two 3--manifolds, each admits an automorphism whose non-wondering set consists ... More

Computing the dielectric constant of liquid water at constant dielectric displacementOct 02 2015Apr 06 2016The static dielectric constant of liquid water is computed using classical force field based molecular dynamics simulation at fixed electric displacement D. The method to constrain the electric displacement is the finite temperature classical variant ... More

Application BMO type space to parabolic equations of Navier-Stokes type with the Neumann boundary conditionMar 13 2018Mar 15 2018Let $L$ be a Neumann operator of the form $L=-\Delta_{N}$ acting on $L^2(\mathbb R^n)$. Let ${BMO}_{\Delta_{N}}(\mathbb R^n)$ denote the BMO space on $\mathbb R^n$ associated to the Neumann operator $\L$. In this article we will show that a function $f\in ... More

Stratifications in good reductions of Shimura varieties of abelian typeJul 03 2017Feb 07 2018In this paper we study the geometry of good reductions of Shimura varieties of abelian type. More precisely, we construct the Newton stratification, Ekedahl-Oort stratification, and central leaves on the special fiber of a Shimura variety of abelian type ... More

Brauer-Thrall type theorems for derived module categoriesOct 10 2013May 16 2017The numerical invariants (global) cohomological length, (global) cohomological width, and (global) cohomological range of complexes (algebras) are introduced. Cohomological range leads to the concepts of derived bounded algebras and strongly derived unbounded ... More

Characterization of temperatures associated to Schrödinger operators with initial data in Morrey spacesDec 10 2017Nov 16 2018Let $\mathcal{L}$ be a Schr\"odinger operator of the form $\mathcal{L} = -\Delta+V$ acting on $L^2(\mathbb R^n)$ where the nonnegative potential $V$ belongs to the reverse H\"older class $B_q$ for some $q\geq n.$ Let $L^{p,\lambda}(\mathbb{R}^{n})$, $0\le ... More

More counterexamples to Happel's question and Snashall-Solberg's conjectureSep 19 2011In this paper we provide more counterexamples to Happel's question and Snashall-Solberg's conjecture which generalize many counterexamples to these conjectures studied in the literature. In particular, we show that a family of $\mathbb{Z}_n\times \mathbb{Z}_n$-Galois ... More

Boundedness of variation operators associated with the heat semigroup generated by high order Schrödinger type operatorsFeb 01 2019Jun 12 2019In this paper, we derive the $L^p$-boundedness of the variation operators associated with the heat semigroup which is generated by the high order Schr\"odinger type operator $(-\Delta)^2+V^2$. Further more, we prove the boundedness of the variation operators ... More

Introduction and reconciliation of the ROS and aging paradoxesOct 28 2017This paper suggests that aging is influenced synthetically by pro-aging factors such as ROS and anti-aging factors such as protective responses. The anti-aging effect may be side effects of retrograde responses motivated against adverse circumstances. ... More

Superconductivity driven by pairing of the coherent parts of the physical electronsMar 12 2016How the superconductivity in unconventional superconductors emerges from the diverse mother normal states is still a big puzzle. Whatever the mother normal state is the superconductivity is {\em normal} with BCS-like behaviours of the paired quasiparticles ... More

Performance Analysis of Massive MIMO with Low-Resolution ADCsNov 29 2017The uplink performance of massive multiple-input-multiple-output (MIMO) systems where the base stations (BS) employ low-resolution analog-to-digital converters (ADCs) is analyzed. A high performance MMSE receiver that takes both additive white Gaussian ... More

One-loop renormalization group equations of the neutrino mass matrix in the triplet seesaw modelNov 27 2006Jan 25 2007Within the framework of the standard model plus one heavy Higgs triplet, we derive a full set of one-loop renormalization group equations of the neutrino mass matrix and Higgs couplings in both full and effective theories. The explicit RGEs of neutrino ... More

Characterization of temperatures associated to Schrodinger operators with initial data in BMO spacesOct 02 2017Jun 12 2019Let L be a Schr\"odinger operator of the form L=-\Delta+V acting on L^2(\mathbb R^n) where the nonnegative potential V belongs to the reverse H\"older class B_q for some q>= n. Let BMO denote the BMO space associated to the Schr\"odinger operator L. In ... More

Entry-exit decisions with implementation delay under uncertaintyMar 04 2015Nov 30 2015We employ a natural method from the perspective of the optimal stopping theory to analyze entry-exit decisions with implementation delay of a project, and provide closed expressions for optimal entry decision times, optimal exit decision times and the ... More

Risk Bounds for Infinitely Divisible DistributionFeb 14 2012In this paper, we study the risk bounds for samples independently drawn from an infinitely divisible (ID) distribution. In particular, based on a martingale method, we develop two deviation inequalities for a sequence of random variables of an ID distribution ... More

Atom-dimer scattering in heteronuclear mixture with finite intra-species scattering lengthJan 15 2018We study the three-body problem of two ultracold identical bosonic atoms (denoted by $B$) and one extra atom (denoted by $X$), where the scattering length $a_{BX}$ between each bosonic atom and atom $X$ is resonantly large and positive. We calculate the ... More

Optimal stopping problems with regime switching: a viscosity solution methodApr 13 2014Dec 24 2015We employ the viscosity solution technique to analyze optimal stopping problems with regime switching. Specifically, we obtain the viscosity property of value functions, the uniqueness of viscosity solutions, the regularity of value functions and the ... More

AutoEncoder Inspired Unsupervised Feature SelectionOct 23 2017Apr 09 2018High-dimensional data in many areas such as computer vision and machine learning tasks brings in computational and analytical difficulty. Feature selection which selects a subset from observed features is a widely used approach for improving performance ... More

Long time well-posdness of the Prandtl equations in Sobolev spaceNov 16 2015May 09 2016In this paper, we study the long time well-posedness for the nonlinear Prandtl boundary layer equation on the half plane. While the initial data are small perturbations of some monotonic shear profile, we prove the existence, uniqueness and stability ... More

Generalization Bounds for Domain AdaptationApr 04 2013In this paper, we provide a new framework to obtain the generalization bounds of the learning process for domain adaptation, and then apply the derived bounds to analyze the asymptotical convergence of the learning process. Without loss of generality, ... More

Locally distinguish unextendible product bases by efficiently using entanglement resourceJun 28 2019Any set of states which cannot be perfectly distinguished by local operations and classical communication (LOCC) alone, can always be locally distinguished using quantum teleportation with enough entanglement resource. However, in quantum information ... More

Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General BasisJun 25 2015May 23 2016Subspace recovery from corrupted and missing data is crucial for various applications in signal processing and information theory. To complete missing values and detect column corruptions, existing robust Matrix Completion (MC) methods mostly concentrate ... More

Two-Sample Smooth Tests for the Equality of DistributionsSep 11 2015Sep 14 2015This paper considers the problem of testing the equality of two unspecified distributions. The classical omnibus tests such as the Kolmogorov-Smirnov and Cram\`er-von Mises are known to suffer from low power against essentially all but location-scale ... More

Dynamic Power Splitting Policies for AF Relay Networks with Wireless Energy HarvestingMar 23 2015Wireless energy harvesting (WEH) provides an exciting way to supply energy for relay nodes to forward information for the source-destination pairs. In this paper, we investigate the problem on how the relay node dynamically adjusts the power splitting ... More

$\textit{Ab initio}$ evidence for nonthermal characteristics in ultrafast laser meltingFeb 01 2016Dec 04 2016Laser melting of semiconductors has been observed for almost 40 years; surprisingly, it is not well understood where most theoretical simulations show a laser-induced thermal process. $\textit{Ab initio}$ nonadiabatic simulations based on real-time time-dependent ... More

Maximizing Monotone DR-submodular Continuous Functions by Derivative-free OptimizationOct 16 2018Feb 23 2019In this paper, we study the problem of monotone (weakly) DR-submodular continuous maximization. While previous methods require the gradient information of the objective function, we propose a derivative-free algorithm LDGM for the first time. We define ... More

Topological non-symmorphic crystalline insulatorsAug 21 2013In this work, we identify a new class of Z2 topological insulator protected by non-symmorphic crystalline symmetry, dubbed a "topological non-symmorphic crystalline insulator". We construct a concrete tight-binding model with the non-symmorphic space ... More

On characterization of Poisson integrals of Schrodinger operators with BMO tracesJun 03 2013Sep 22 2013Let L be a Schrodinger operator of the form L=-\Delta+V acting on L^2(Rn) where the nonnegative potential V belongs to the reverse Holder class Bq for some q>= n. Let BMO_L(Rn) denote the BMO space on Rn associated to the Schrodinger operator L. In this ... More

Renormalized and entropy solutions for the fractional p-Laplacian parabolic equation with L^1 dataAug 16 2017In this paper we introduce a natural function class and prove the existence and uniqueness of both nonnegative renormalized solutions and entropy solutions for the fractional p-Laplacian parabolic problem with L^1 data. And moreover, we obtain the equivalence ... More

Multi-Span Acoustic Modelling using Raw Waveform SignalsJun 21 2019Traditional automatic speech recognition (ASR) systems often use an acoustic model (AM) built on handcrafted acoustic features, such as log Mel-filter bank (FBANK) values. Recent studies found that AMs with convolutional neural networks (CNNs) can directly ... More

Disordered Quantum Transport in Quantum Anomalous Hall Insulator-Superconductor JunctionsAug 09 2019In this communication, we numerically studied disordered quantum transport in a quantum anomalous Hall insulator-superconductor junction based on the effective edge model approach. In particular, we focus on the parameter regime with the free mean path ... More

Boundedness of differential transforms for one-sided fractional Poisson-type operator sequenceJul 17 2019Aug 05 2019In this paper, we analyze the convergence speed of a series related with $\P_{\tau}^\a f$ by discussing the behavior of the family of operators \begin{equation*} T_N^\a f(t)=\sum_{j=N_1}^{N_2} v_j(\P_{a_{j+1}}^\a f(t)-\P_{a_j}^\a f(t)),\quad ~N=(N_1,N_2)\in ... More

1/f Noise and Long Configuration Memory in Bak-Tang-Wiesenfeld Models on Narrow StripesFeb 04 1999We report our findings of an 1/f power spectrum for the total amount of sand in directed and undirected Bak-Tang-Wiesenfeld models confined on narrow stripes and driven locally. The underlying mechanism for the 1/f noise in these systems is an exponentially ... More

Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNsFeb 18 2018Feb 20 2018Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition. The strength of the model can be attributed to its ability to effectively model long temporal contexts. However, current TDNN models are relatively ... More

Theory for superconductivity in alkali chromium arsenides A2Cr3As3 (A=K,Rb,Cs)Feb 13 2015Feb 10 2017We propose an extended Hubbard model with three molecular orbitals on a hexagonal lattice with $D_{3h}$ symmetry to study recently discovered superconductivity in A$_2$Cr$_3$As$_3$ (A=K,Rb,Cs). Effective pairing interactions from paramagnon fluctuations ... More

Binary output layer of feedforward neural networks for solving multi-class classification problemsJan 22 2018Considered in this short note is the design of output layer nodes of feedforward neural networks for solving multi-class classification problems with r (bigger than or equal to 3) classes of samples. The common and conventional setting of output layer, ... More

Distributed Relay Selection Protocols for Simultaneous Wireless Information and Power TransferJul 06 2014Aug 11 2014Harvesting energy from the radio-frequency (RF) signal is an exciting solution to replenish energy in energy-constrained wireless networks. In this paper, an amplify-and-forward (AF) based wireless relay network is considered, where the relay nodes need ... More

Generalization Bounds for Vicinal Risk Minimization PrincipleNov 11 2018The vicinal risk minimization (VRM) principle, first proposed by \citet{vapnik1999nature}, is an empirical risk minimization (ERM) variant that replaces Dirac masses with vicinal functions. Although there is strong numerical evidence showing that VRM ... More

Blur-Countering Keypoint Detection via Eigenvalue AsymmetrySep 05 2018Well-known corner or local extrema feature based detectors such as FAST and DoG have achieved noticeable successes. However, detecting keypoints in the presence of blur has remained to be an unresolved issue. As a matter of fact, various kinds of blur ... More

The piston effect induced by mass transfer in a binary fluid mixture near the critical pointAug 04 2018Nov 29 2018Similar to pure fluids, physical properties of a binary fluid mixture also exhibit singularities close to its critical point, especially when it is dilute. The numerical and theoretical results presented in this paper identify that the piston effect, ... More

S&CNet: A Enhanced Coarse-to-fine Framework For Monocular Depth CompletionJul 13 2019Real-time depth completing is a critical problem for robotics and autonomous driving tasks. In this paper, we propose a light-weight coarse-to-fine network to complete a dense depth map from a single view RGB image and its related sparse depth map. Both ... More

Identification and Analysis of Cascading Failures in Power Grids with Protective ActionsMar 29 2019This paper aims to identify and analyze the initial contingencies or disturbances that could lead to the worst-case cascading failures of power grids. An optimal control approach is proposed to determine the most disruptive disturbances on the branch ... More

Thermal Relaxation Time in Chemically Non-equilibrated Quark- Gluon PlasmaJul 09 1997The definition of thermal relaxation time is extended to chemically non-equilibrated quark-gluon plasma and the chemical non-equilibrated thermal relaxation times for partons are calculated using the non-equilibrium Debye mass as the infrared regulator. ... More

Fingerprints of bosonic symmetry protected topological state in a quantum point contactOct 05 2016Jul 07 2017In this work, we study the transport through a quantum point contact for bosonic helical liquid that exists at the edge of a bilayer graphene under a strong magnetic field. We identify "smoking gun" transport signatures to distinguish bosonic symmetry ... More

Crystalline Symmetry-Protected Majorana Mode in Number-Conserving Dirac Semimetal NanowiresAug 04 2017Apr 16 2018One of the cornerstones for topological quantum computations is the Majorana zero mode, which has been intensively searched in fractional quantum Hall systems and topological superconductors. Several recent works suggest that such an exotic mode can also ... More

Majorana Dark matter with B+L gauge symmetryApr 06 2016Apr 12 2016We present a new model that extends the Standard Model (SM) with the local B+L symmetry, and point out that the lightest new fermion $\zeta$, introduced to cancel anomalies and stabilized automatically by the B+L symmetry, can serve as the cold dark matter ... More

Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed BanditsApr 05 2019Best arm identification (or, pure exploration) in multi-armed bandits is a fundamental problem in machine learning. In this paper we study the distributed version of this problem where we have multiple agents, and they want to learn the best arm collaboratively. ... More

Effect of Si on Fe-rich intermetallic formation and mechanical properties of heattreated Al-Cu-Mn-Fe alloysDec 26 2017The effect of Si on Fe-rich intermetallics formation and mechanical properties of heat-treated squeeze cast Al-5.0Cu-0.6Mn-0.7Fe alloy was investigated. Our results show that increasing Si content promotes the formation of Al15(FeMn)3(SiCu)2 (${\alpha}$-Fe), ... More

Relations among Some Low Rank Subspace Recovery ModelsDec 06 2014Recovering intrinsic low dimensional subspaces from data distributed on them is a key preprocessing step to many applications. In recent years, there has been a lot of work that models subspace recovery as low rank minimization problems. We find that ... More

First-principles study of the incorporation and diffusion of helium in cubic zirconiaDec 01 2010The incorporation and diffusion of helium (He) with and without intrinsic vacancy defects in cubic ZrO$_{2}$ are investigated through first-principles total-energy calculations, in which the projector-augmented-wave (PAW) method with the generalized gradient ... More

FrameRank: A Text Processing Approach to Video SummarizationApr 11 2019Apr 12 2019Video summarization has been extensively studied in the past decades. However, user-generated video summarization is much less explored since there lack large-scale video datasets within which human-generated video summaries are unambiguously defined ... More

Enhanced Superconductivity in TiO Epitaxial Thin FilmsDec 20 2016Titanium oxides have many fascinating optical and electrical properties, such as the superconductivity at 2.0 K in cubic titanium monoxide TiO polycrystalline bulk. However, the lack of TiO single crystals or epitaxial films has prevented systematic investigations ... More

Note: On the dielectric constant of nanoconfined waterFeb 06 2018Investigations of dielectric properties of water in nanoconfinement are highly relevant for various applications. Here, using a simple capacitor model, we show that the low dielectric constant of nanoconfined water found in molecular dynamics simulations ... More

Charmless $B_{(s)}\to VV$ Decays in Factorization-Assisted Topological-Amplitude ApproachJan 05 2017Within the factorization-assisted topological-amplitude approach, we studied the 33 charmless $B_{(s)} \to VV$ decays, where $V$ stands for a light vector meson. According to the flavor flows, the amplitude of each process can be decomposed into 8 different ... More

Energy Efficient Transmission Based on Grouped Spatial Modulation for upstream DSL SystemsJul 01 2019The digital Subscriber Line (DSL) remains an important component of heterogeneous networking, especially in historic city-centers, where using optical fibre is less realistic. Recently, the power consumption has become an important performance metric ... More

An Enhanced SCMA Detector Enabled by Deep Neural NetworkAug 24 2018In this paper, we propose a learning approach for sparse code multiple access (SCMA) signal detection by using a deep neural network via unfolding the procedure of message passing algorithm (MPA). The MPA can be converted to a sparsely connected neural ... More

Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless NetworksDec 02 2016Dec 15 2016In conventional cellular networks, for base stations (BSs) that are deployed far away from each other, it is general to assume them to be mutually independent. Nevertheless, after long-term evolution of cellular networks in various generations, this assumption ... More

Image Ordinal Classification and Understanding: Grid Dropout with Masking LabelMay 08 2018Image ordinal classification refers to predicting a discrete target value which carries ordering correlation among image categories. The limited size of labeled ordinal data renders modern deep learning approaches easy to overfit. To tackle this issue, ... More

Fog-Aided Device to Device Networks with Opportunistic Content DeliveryMay 09 2019In this paper, we investigate the caching placement and content delivery strategy in large-scale fog-aided device to device (F-D2D) networks by exploring the idea of opportunistic spectrum access (OSA) which is originally introduced in cognitive radio ... More

Indecomposables with smaller cohomological length in the derived category of gentle algebrasSep 15 2016Bongartz and Ringel proved that there is no gaps in the sequence of lengths of indecomposable modules for the finite-dimensional algebras over algebraically closed fields. The present paper mainly study this "no gaps" theorem for the bounded derived module ... More

Liquid Metal as Connecting or Functional Recovery Channel for the Transected Sciatic NerveApr 07 2014In this article, the liquid metal GaInSn alloy (67% Ga, 20.5% In, and 12.5% Sn by volume) is proposed for the first time to repair the peripheral neurotmesis as connecting or functional recovery channel. Such material owns a group of unique merits in ... More

Universal Dynamics of a Degenerate Bose Gas Quenched to UnitarityDec 17 2018Motivated by an unexpected experimental observation from the Cambridge group, [Eigen {\it et al.,} Nature {\bf563}, 221 (2018)], we study the evolution of the momentum distribution of a degenerate Bose gas quenched from the weakly interacting to the unitarity ... More

Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: methods and assessmentJul 05 2016Fine particulate matter (PM2.5) is associated with adverse human health effects, and China is currently suffering from serious PM2.5 pollution. To obtain spatially continuous ground-level PM2.5 concentrations, several models established by point-surface ... More

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information NetworksJul 10 2018Heterogeneous information networks (HINs) are ubiquitous in real-world applications. In the meantime, network embedding has emerged as a convenient tool to mine and learn from networked data. As a result, it is of interest to develop HIN embedding methods. ... More

Pixel2Mesh++: Multi-View 3D Mesh Generation via DeformationAug 05 2019Aug 16 2019We study the problem of shape generation in 3D mesh representation from a few color images with known camera poses. While many previous works learn to hallucinate the shape directly from priors, we resort to further improving the shape quality by leveraging ... More

Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental TestMar 12 2019May 04 2019Orthogonal frequency division multiplexing (OFDM), usually with sufficient cyclic prefix (CP), has been widely applied in various communication systems. The CP in OFDM consumes additional resource and reduces spectrum and energy efficiency. However, channel ... More

Uplink Achievable Rate for Massive MIMO with Low-Resolution ADCDec 02 2015In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio combining technique ... More

Low-loss Airy Surface Plasmon PolaritonsMar 31 2018We propose a scheme to obtain a low-loss propagation of Airy surface plasmon polaritons (SPPs) along the interface between a dielectric and a negative-index metamaterial (NIMM). We show that, by using the transverse-magnetic mode and the related destructive ... More

GaitSet: Regarding Gait as a Set for Cross-View Gait RecognitionNov 15 2018Dec 12 2018As a unique biometric feature that can be recognized at a distance, gait has broad applications in crime prevention, forensic identification and social security. To portray a gait, existing gait recognition methods utilize either a gait template, where ... More

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-ResolutionSep 12 2018Oct 25 2018Convolutional neural networks (CNNs) have recently achieved great success in single-image super-resolution (SISR). However, these methods tend to produce over-smoothed outputs and miss some textural details. To solve these problems, we propose the Super-Resolution ... More

Graphs in the 3--sphere with maximum symmetryOct 03 2015Oct 24 2017We consider the orientation-preserving actions of finite groups $G$ on pairs $(S^3, \Gamma)$, where $\Gamma$ is a connected graph of genus $g>1$, embedded in $S^3$. For each $g$ we give the maximum order $m_g$ of such $G$ acting on $(S^3, \Gamma)$ for ... More

Natural-Logarithm-Rectified Activation Function in Convolutional Neural NetworksAug 10 2019Activation functions play a key role in providing remarkable performance in deep neural networks, and the rectified linear unit (ReLU) is one of the most widely used activation functions. Various new activation functions and improvements on ReLU have ... More

Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous DataAug 04 2016This paper describes our system designed for the NLPCC 2016 shared task on word segmentation on micro-blog texts.

Three-dimensional manipulation of electron beam phase space for seeding soft x-ray free-electron lasersApr 18 2014In this letter, a simple technique is proposed to induce strong density modulation into the electron beam with small energy modulation. By using the combination of a transversely dispersed electron beam and a wave-front tilted seed laser, three-dimensional ... More

Topological Hall Effect in Magnetic Topological Insulator FilmsSep 06 2018Geometric Berry phase can be induced either by spin-orbit coupling, giving rise to the anomalous Hall effect in ferromagnetic materials, or by chiral spin texture, such as skyrmions, leading to the topological Hall effect. Recent experiments have revealed ... More

Topological crystalline protection in a photonic systemDec 09 2015Topological crystalline insulators are a class of materials with a bulk energy gap and edge or surface modes, which are protected by crystalline symmetry, at their boundaries. They have been realized in electronic systems: in particular, in SnTe. In this ... More

Topological Larkin-Ovchinnikov phase and Majorana zero mode chain in bilayer superconducting topological insulator filmsAug 02 2017We theoretically study bilayer superconducting topological insulator film, in which superconductivity exists for both top and bottom surface states. We show that an in-plane magnetic field can drive the system into Larkin-Ovchinnikov (LO) phase, where ... More

Onset of double-diffusive convection in near-critical gas mixturesNov 29 2018Mar 23 2019Near the thermodynamic critical point, the physical properties of binary fluids exhibit large variations in response to small temperature and concentration differences, whose effects on the onset of double-diffusive convection are reported here. The vertical ... More

Modave Lectures on Applied AdS/CFT with NumericsJan 03 2016Jan 06 2016These lecture notes are intended to serve as an introduction to applied AdS/CFT with numerics for an audience of graduate students and others with little background in the subject. The presentation begins with a poor man's review of current status of ... More

Fragmentation of shells: An analogy with the crack formation in tree barkJun 06 2019How does a shell explode into a series of fragments upon impact? The well accepted explanation is Mott's theory, which considers the fragmentation of shells as a random process controlled by defects. However, Mott's theory is inadequate due to its assumption ... More

Three-dimensional Imaging for Large LArTPCsMar 12 2018May 29 2018High-performance event reconstruction is critical for current and future massive liquid argon time projection chambers (LArTPCs) to realize their full scientific potential. LArTPCs with readout using wire planes provide a limited number of 2D projections. ... More

A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation EstimationMar 26 2019We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity. As a classical problem, there is always a trade-off between the complexity of deformation models and the difficulty of parameters ... More

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement LearningJun 20 2019Detection of malicious behavior is a fundamental problem in security. One of the major challenges in using detection systems in practice is in dealing with an overwhelming number of alerts that are triggered by normal behavior (the so-called false positives), ... More

Zeros of Holant problems: locations and algorithmsJul 24 2018Aug 05 2018We present fully polynomial-time (deterministic or randomised) approximation schemes for Holant problems, defined by a non-negative constraint function satisfying a generalised second order recurrence modulo a couple of exceptional cases. As a consequence, ... More

ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker DecompositionJun 18 2019Despite the recent success of deep learning models in numerous applications, their widespread use on mobile devices is seriously impeded by storage and computational requirements. In this paper, we propose a novel network compression method called Adaptive ... More

Optimal Dividend Payments for the Piecewise-Deterministic Poisson Risk ModelJun 14 2011Nov 20 2014This paper considers the optimal dividend payment problem in piecewise-deterministic compound Poisson risk models. The objective is to maximize the expected discounted dividend payout up to the time of ruin. We provide a comparative study in this general ... More

Attribute-Aware Attention Model for Fine-grained Representation LearningJan 02 2019How to learn a discriminative fine-grained representation is a key point in many computer vision applications, such as person re-identification, fine-grained classification, fine-grained image retrieval, etc. Most of the previous methods focus on learning ... More

Counting hypergraph colorings in the local lemma regimeNov 09 2017May 31 2019We give a fully polynomial-time approximation scheme (FPTAS) to count the number of $q$-colorings for $k$-uniform hypergraphs with maximum degree $\Delta$ if $k\ge 28$ and $q >357\Delta^{\frac{14}{k-14}}$ . We also obtain a polynomial-time almost uniform ... More

Mixed-ADC Massive MIMO Detectors: Performance Analysis and Design OptimizationSep 26 2015Oct 01 2015Using a very low-resolution analog-to-digital convertor (ADC) unit at each antenna can remarkably reduce the hardware cost and power consumption of a massive multiple-input multiple-output (MIMO) system. However, such a pure low-resolution ADC architecture ... More

TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo CodeMay 25 2019This paper presents TurboNet, a novel model-driven deep learning (DL) architecture for turbo decoding that combines DL with the traditional max-log-maximum a posteriori (MAP) algorithm. To design TurboNet, we unfold the original iterative structure for ... More

Bordered surfaces in the 3-sphere with maximum symmetryOct 24 2017We consider orientation-preserving actions of finite groups $G$ on pairs $(S^3, \Sigma)$, where $\Sigma$ denotes a compact connected surface embedded in $S^3$. In a previous paper, we considered the case of closed, necessarily orientable surfaces, determined ... More

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-ResolutionAug 18 2019Generative Adversarial Networks (GAN) have demonstrated the potential to recover realistic details for single image super-resolution (SISR). To further improve the visual quality of super-resolved results, PIRM2018-SR Challenge employed perceptual metrics ... More

A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence ClassificationAug 17 2019Recently, Attention-Gated Convolutional Neural Networks (AGCNNs) perform well on several essential sentence classification tasks and show robust performance in practical applications. However, AGCNNs are required to set many hyperparameters, and it is ... More

High brightness fully coherent X-ray amplifier seeded by a free-electron laser oscillatorNov 03 2017X-ray free-electron laser oscillator (XFELO) is expected to be a cutting edge tool for fully coherent X-ray laser generation, and undulator taper technique is well-known for considerably increasing the efficiency of free-electron lasers (FELs). In order ... More

Regularity estimates in Hölder spaces for Schrödinger operators via a T1 theoremSep 28 2011Sep 05 2012We derive H\"older regularity estimates for operators associated with a time independent Schr\"odinger operator of the form $-\Delta+V$. The results are obtained by checking a certain condition on the function $T1$. Our general method applies to get regularity ... More

Joint Nonnegative Matrix Factorization for Community Structures Detection in Signed NetworksJul 22 2018Community structures detection in signed network is very important for understanding not only the topology structures of signed networks, but also the functions of them, such as information diffusion, epidemic spreading, etc. In this paper, we develop ... More

Observational constraints on running vacuum modelDec 17 2018We investigate the power spectra of the CMB temperature and matter density in the running vacuum model (RVM) with the time-dependent cosmological constant of $\Lambda = 3 \nu H^2 + \Lambda_0$, where $H$ is the Hubble parameter. In this model, dark energy ... More