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Benchmarking TPU, GPU, and CPU Platforms for Deep LearningJul 24 2019Aug 06 2019Training deep learning models is compute-intensive and there is an industry-wide trend towards hardware specialization to improve performance. To systematically benchmark deep learning platforms, we introduce ParaDnn, a parameterized benchmark suite for ... More

Learning Low-Rank Approximation for CNNsMay 24 2019Low-rank approximation is an effective model compression technique to not only reduce parameter storage requirements, but to also reduce computations. For convolutional neural networks (CNNs), however, well-known low-rank approximation methods, such as ... More

Structured Compression by Unstructured Pruning for Sparse Quantized Neural NetworksMay 24 2019Model compression techniques, such as pruning and quantization, are becoming increasingly important to reduce the memory footprints and the amount of computations. Despite model size reduction, achieving performance enhancement on devices is, however, ... More

Fathom: Reference Workloads for Modern Deep Learning MethodsAug 23 2016Deep learning has been popularized by its recent successes on challenging artificial intelligence problems. One of the reasons for its dominance is also an ongoing challenge: the need for immense amounts of computational power. Hardware architects have ... More

Network Pruning for Low-Rank Binary IndexingMay 14 2019Pruning is an efficient model compression technique to remove redundancy in the connectivity of deep neural networks (DNNs). Computations using sparse matrices obtained by pruning parameters, however, exhibit vastly different parallelism depending on ... More

Weightless: Lossy Weight Encoding For Deep Neural Network CompressionNov 13 2017The large memory requirements of deep neural networks limit their deployment and adoption on many devices. Model compression methods effectively reduce the memory requirements of these models, usually through applying transformations such as weight pruning ... More

Supersymmetric Localization in GLSMs for SupermanifoldsJul 14 2018Apr 29 2019In this paper we apply supersymmetric localization to study gauged linear sigma models (GLSMs) describing supermanifold target spaces. We use the localization method to show that A-twisted GLSM correlation functions for certain supermanifolds are equivalent ... More

Benchmarking TPU, GPU, and CPU Platforms for Deep LearningJul 24 2019Training deep learning models is compute-intensive and there is an industry-wide trend towards hardware specialization to improve performance. To systematically benchmark deep learning platforms, we introduce ParaDnn, a parameterized benchmark suite for ... More

Benchmarking TPU, GPU, and CPU Platforms for Deep LearningJul 24 2019Jul 31 2019Training deep learning models is compute-intensive and there is an industry-wide trend towards hardware specialization to improve performance. To systematically benchmark deep learning platforms, we introduce ParaDnn, a parameterized benchmark suite for ... More

Limits on luminosity and mass accretion rate of a radiation pressure dominated accretion discFeb 10 2015There is a maximum for the gravity of a black hole in the vertical direction in the accretion disc. Outflows may probably be driven from the disc if the radiation flux of the disc is greater than a critical value corresponding to the maximal vertical ... More

Conjugated filter approach for solving Burgers' equation with high Reynolds numberSep 13 2000We propose a conjugated filter oscillation reduction scheme for solving Burgers' equation with high Reynolds numbers. Computational accuracy is tested at a moderately high Reynolds number for which analytical solution is available. Numerical results at ... More

Cloud No Longer a Silver Bullet, Edge to the RescueFeb 15 2018This paper takes the position that, while cognitive computing today relies heavily on the cloud, we will soon see a paradigm shift where cognitive computing primarily happens on network edges. The shift toward edge devices is fundamentally propelled both ... More

On the Mechanism of Roe-type Schemes for All-Speed FlowsJul 19 2011In recent years, Roe-type schemes based on different ideas have been developed for all-speed flows, such as the preconditioned Roe, the All-Speed Roe, Thornber's modified Roe and the LM-Roe schemes. This work explores why these schemes succeed or fail ... More

The sphere theorems for manifolds with positive scalar curvatureFeb 11 2011Some new differentiable sphere theorems are obtained via the Ricci flow and stable currents. We prove that if $M^n$ is a compact manifold whose normalized scalar curvature and sectional curvature satisfy the pointwise pinching condition $R_0>\sigma_{n}K_{\max}$, ... More

A New Entropic Force Scenario and Holographic ThermodynamicsNov 15 2010Nov 25 2010We propose a new holographic program of gravity in which we introduce a surface stress tensor. Our proposal differs from Verlinde's in several aspects. First, we use an open or a closed screen, a temperature is not necessary but a surface energy density ... More

Mechanism and Improvement of the Harten-Lax-van Leer Scheme for All-Speed FlowsNov 21 2011Based on the three rules developed from the Roe-type scheme, the mechanisms of the classical and preconditioned Harten-Lax-van Leer (HLL) schemes are analyzed. For the classical HLL scheme, the accuracy problem is attributable to the extremely large coefficient ... More

Statistical properties of daily ensemble variables in the Chinese stock marketsMar 18 2006We study dynamical behavior of the Chinese stock markets by investigating the statistical properties of daily ensemble returns and varieties defined respectively as the mean and the standard deviation of the ensemble daily price returns of a portfolio ... More

Edge-Semantic Learning Strategy for Layout Estimation in Indoor EnvironmentJan 03 2019Visual cognition of the indoor environment can benefit from the spatial layout estimation, which is to represent an indoor scene with a 2D box on a monocular image. In this paper, we propose to fully exploit the edge and semantic information of a room ... More

Magnetization of neutron star matterMay 20 2013The magnetization of neutron star matter in magnetic fields is studied by employing the FSUGold interaction. It is found that the magnetic susceptibilities of the charged particles (proton, electron and muon) can be larger than that of neutron. The effects ... More

Origin of symmetry energy in finite nuclei and density dependence of nuclear matter symmetry energy from measured alpha-decay energiesDec 16 2012Based on the Skyrme energy density functional, the spatial distribution of the symmetry energy of a finite nucleus is derived in order to examine whether the symmetry energy of a finite nucleus originates from its interior or from its surface. It is found ... More

Uniform transverse beam profile with a new type nonlinear magnetMar 08 2017In this paper, a new type magnet is proposed and processed to uniform the transverse beam profile. Compeared to the octupole, the new type magnet can prove a similar octupole magnet field in the middle, but the rise rate declines quickly in the edge. ... More

All $α+uβ$-constacyclic codes of length $np^{s}$ over $\mathbb{F}_{p^{m}}+u\mathbb{F}_{p^{m}}$Jun 21 2016Let $\mathbb{F}_{p^{m}}$ be a finite field with cardinality $p^{m}$ and $R=\mathbb{F}_{p^{m}}+u\mathbb{F}_{p^{m}}$ with $u^{2}=0$. We aim to determine all $\alpha+u\beta$-constacyclic codes of length $np^{s}$ over $R$, where $\alpha,\beta\in\mathbb{F}_{p^{m}}^{*}$, ... More

The origin of entropy production in spacetime thermodynamicsApr 16 2011Jun 29 2011We find that the ambiguity term of approximate Killing vector field is responsible for the entropy production term. Without the ambiguity term, pure Einstein theory and $f(R)$ satisfy the relation of thermodynamic equilibrium. Considering such an ambiguity ... More

Solar-System Constraints on f(R) Chameleon GravityAug 08 2011We investigate the solar-system constraint on the f(R) theory of modified gravity with chameleon mechanism, where f(R) represents the deviation from general relativity in the gravity action. We obtain a stringent bound to a general, non-constant deviation ... More

More nonabelian mirrors and some two-dimensional dualitiesJul 15 2019In this paper we extend the nonabelian mirror proposal of two of the authors from two-dimensional gauge theories with connected gauge groups to the case of O(k) gauge groups with discrete theta angles. We check our proposed extension by counting and comparing ... More

Stylized facts of price gaps in limit order books: Evidence from Chinese stocksMay 06 2014Price gap, defined as the logarithmic price difference between the first two occupied price levels on the same side of a limit order book (LOB), is a key determinant of market depth, which is one of the dimensions of liquidity. However, the properties ... More

Advection-Dominated Accretion Disks: Geometrically Slim or Thick?Sep 26 2009We revisit the vertical structure of black hole accretion disks in spherical coordinates. By comparing the advective cooling with the viscous heating, we show that advection-dominated disks are geometrically thick, i.e., with the half-opening angle > ... More

Modified detrended fluctuation analysis based on empirical mode decompositionJul 19 2009Detrended fluctuation analysis (DFA) is a simple but very efficient method for investigating the power-law long-term correlations of non-stationary time series, in which a detrending step is necessary to obtain the local fluctuations at different timescales. ... More

Cosmological and Solar-System Tests of f(R) Modified GravitySep 17 2010We investigate the cosmological and the local tests of the f(R) theory of modified gravity via the observations of (1) the cosmic expansion and (2) the cosmic structures and via (3) the solar-system experiments. To fit the possible cosmic expansion histories ... More

Shakura-Sunyaev Disk Can Smoothly Match Advection-Dominated Accretion FlowJan 04 2004We use the standard Runge-Kutta method to solve the set of basic equations describing black hole accretion flows composed of two-temperature plasma. We do not invoke any extra energy transport mechanism such as thermal conduction and do not specify any ... More

Could an X-ray Flare after GRB 170817A Originate from a Post-merger Slim Accretion Disc?Mar 19 2019GRB 170817A, detected by Fermi-GBM 1.7\,s after the merger of a neutron star (NS) binary, provides the first direct evidence for a link between such a merger and a short-duration gamma-ray burst. The X-ray observations after GRB 170817A indicate a possible ... More

Double transition of information spreading in a two-layered networkMay 06 2018A great deal of significant progress has been seen in the study of information spreading on populations of networked individuals. A common point in many of past studies is that there is only one transition in the phase diagram of the final accepted size ... More

Stability of braneworlds with non-minimally coupled multi-scalar fieldsFeb 12 2017Feb 25 2018Linear stability of braneworld models constructed with multi-scalar fields is very different from that of single-scalar field models. It is well known that both the tensor and scalar perturbation equations of the later can always be written as a supersymmetric ... More

Density dependence of nuclear symmetry energy constrained by mean-field calculationsSep 09 2012We establish a correlation for the symmetry energy at saturation density $S_{0}$, slope parameter $L$ and curvature parameter $K_{\text{sym}}$ based on widely different mean field interactions. With the help of this correlation and available empirical ... More

Winds Can "Blow Up" AGN Accretion Disk SizesJun 22 2018Oct 24 2018Recent multi-band variability studies have revealed that active galactic nucleus (AGN) accretion disc sizes are generally larger than the predictions of the classical thin disc by a factor of $2\sim 3$. This hints at some missing key ingredient in the ... More

The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music GenerationNov 20 2018Jan 24 2019With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativity. Despite very promising progress on image and short sequence generation, symbolic music generation remains ... More

Optimal Scheduling across Heterogeneous Air Interfaces of LTE/WiFi AggregationFeb 06 2018LTE/WiFi Aggregation (LWA) provides a promising approach to relieve data traffic congestion in licensed bands by leveraging unlicensed bands. Critical challenges arise from provisioning quality-of-service (QoS) through heterogenous interfaces of licensed ... More

Phononic thermal properties of two-dimensional materialsMay 16 2017Jul 10 2018Following the emergence of many novel two-dimensional (2-D) materials beyond graphene, interest has grown in exploring implications for fundamental physics and practical applications, ranging from electronics, photonics, phononics, to thermal management ... More

The Statistics of Vacuum GeometryFeb 13 2014Jun 22 2014We investigate the vacuum moduli space of supersymmetric gauge theories en masse by probing the space of such vacua from a statistical standpoint. Using quiver gauge theories with ${\cal N}=1$ supersymmetry as a testing ground, we sample over a large ... More

Revisiting vertical structure of neutrino-dominated accretion disks: Bernoulli parameter, neutrino trapping and other distributionsOct 08 2011We revisit the vertical structure of neutrino dominated accretion flows (NDAFs) in spherical coordinates with a new boundary condition based on the mechanical equilibrium. The solutions show that NDAF is significantly thick. The Bernoulli parameter and ... More

On the growth of primary industry and population of China's countiesJan 26 2010Apr 19 2010The growth dynamics of complex organizations have attracted much interest of econophysicists and sociophysicists in recent years. However, most of the studies are done for developed countries. We investigate the growth dynamics of the primary industry ... More

Direct determination approach for the multifractal detrending moving average analysisFeb 09 2019In the canonical framework, we propose an alternative approach for the multifractal analysis based on the detrending moving average method (MF-DMA). We define a canonical measure such that the multifractal mass exponent $\tau(q)$ is related to the partition ... More

Ground state properties of a Tonks-Girardeau Gas in a periodic potentialDec 06 2008Nov 18 2014In this paper, we investigate the ground-state properties of a bosonic Tonks-Girardeau gas confined in a one-dimensional periodic potential. The single-particle reduced density matrix is computed numerically for systems up to $N=265$ bosons. Scaling analysis ... More

Cures for the Expansion Shock and the Shock Instability of the Roe SchemeJul 24 2016A common defect of the Roe scheme is the production of non-physical expansion shock and shock instability. An improved method with several advantages was presented to suppress the shock instability. However, this method cannot prevent expansion shock ... More

Retrieval of Sparse Solutions of Multiple-Measurement Vectors via Zero-point Attracting ProjectionMar 07 2012Mar 09 2013A new sparse signal recovery algorithm for multiple-measurement vectors (MMV) problem is proposed in this paper. The sparse representation is iteratively drawn based on the idea of zero-point attracting projection (ZAP). In each iteration, the solution ... More

Learning Region Features for Object DetectionMar 19 2018While most steps in the modern object detection methods are learnable, the region feature extraction step remains largely hand-crafted, featured by RoI pooling methods. This work proposes a general viewpoint that unifies existing region feature extraction ... More

Thick-disc model to explain the spectral state transition in NGC 247Feb 25 2019We propose the thick-disc model of Gu et al. 2016 to interpret the transition between soft ultraluminous state (SUL) and supersoft ultraluminous (SSUL) state in NGC 247. As accretion rate increases, the inner disc will puff up and act as shield to block ... More

Holomorphic maps between closed SU(l,m)-orbits in GrassmannianSep 06 2018Orbits of $SU(\ell, m)$ in a Grassmannian manifold have homogeneous CR structures. In this paper, we study germs of smooth CR mappings sending a closed orbit of $SU(\ell,m)$ into a closed orbit of $SU(\ell',m')$ in Grassmannian manifolds. We show that ... More

A Strong Baseline and Batch Normalization Neck for Deep Person Re-identificationJun 19 2019This study explores a simple but strong baseline for person re-identification (ReID). Person ReID with deep neural networks has progressed and achieved high performance in recent years. However, many state-of-the-art methods design complex network structures ... More

The Role of Momentum Interpolation Mechanism of the Roe Scheme in the Shock InstabilitySep 08 2015Jul 24 2016The shock instability phenomenon is a famous problem for the shock-capturing scheme. By subdividing the numerical dissipation of the Roe scheme, the term of pressure-difference-driven modification for the cell face velocity is regarded as a version of ... More

Spherical Parameterization Balancing Angle and Area DistortionsOct 21 2018This work presents a novel framework for spherical mesh parameterization. An efficient angle-preserving spherical parameterization algorithm is introduced, which is based on dynamic Yamabe flow and the conformal welding method with solid theoretic foundation. ... More

Evolution of the Universe with Flat Extra DimensionsMar 27 2004May 11 2004Evolution of a universe with homogeneous extra dimensions is studied with the benefit of a well-chosen parameter space that provides a systematic, useful, and convenient way for analysis. In this model we find a natural evolution pattern that entails ... More

Molecular-absorption-induced thermal bistablity in PECVD silicon nitride microring resonatorsJul 15 2014The wavelength selective linear absorption in communication C-band is investigated in CMOS-processed PECVD silicon nitride rings. In the overcoupled region, the linear absorption loss lowers the on-resonance transmission of a ring resonator and increases ... More

Bag of Tricks and A Strong Baseline for Deep Person Re-identificationMar 17 2019Apr 19 2019This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved high performance in recent years. However, many state-of-the-arts methods ... More

Relation Networks for Object DetectionNov 30 2017Jun 14 2018Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era. All state-of-the-art object detection systems still rely on recognizing ... More

Rigidity of CR maps between Shilov boundaries of bounded symmetric domainsDec 03 2013Our goal is to establish what seems to be the first rigidity result for CR embeddings between Shilov boundaries of bounded symmetric domains of higher rank. The result states that any such CR embedding is the standard linear embedding up to CR automorphisms. ... More

Rigidity of proper holomorphic maps between bounded symmetric domainsMar 25 2014Our first main result gives assumptions guaranteeing that proper holomorphic maps between Cartan type I bounded symmetric domains have simple block matrix shape, answering positively a question of Mok. The proof is based on the second main result establishing ... More

Jet vanishing orders and effectivity of Kohn's algorithm in dimension $3$Feb 22 2017Sep 15 2018We propose a new class of geometric invariants called jet vanishing orders, and use them to establish a new selection algorithm in the Kohn's construction of subelliptic multipliers for special domains in dimension $3$, inspired by the work of Y.-T. Siu ... More

Empirical properties of inter-cancellation durations in the Chinese stock marketMar 14 2014Order cancellation process plays a crucial role in the dynamics of price formation in order-driven stock markets and is important in the construction and validation of computational finance models. Based on the order flow data of 18 liquid stocks traded ... More

Optimal Dynamic Allocation of AttentionDec 15 2018We consider a decision maker (DM) who, before taking an action, seeks information by allocating her limited attention dynamically over different news sources that are biased toward alternative actions. Endogenous choice of information generates rich dynamics: ... More

First Electromagnetic Pulse Associated with a Gravitational-Wave Event: Profile, Duration, and DelayMar 05 2018We study the first electromagnetic pulse after the gravitational wave chirp signal, focusing on the profile and duration. It is found that the light curve, especially the steep decay (SD) phase, can be very different by adopting different viewing angle ... More

An empirical behavioural order-driven model with price limit rulesApr 14 2017We develop an empirical behavioural order-driven (EBOD) model, which consists of an order placement process and an order cancellation process. Price limit rules are introduced in the definition of relative price. The order placement process is determined ... More

The position profiles of order cancellations in an emerging stock marketDec 28 2011May 30 2013Order submission and cancellation are two constituent actions of stock trading behaviors in order-driven markets. Order submission dynamics has been extensively studied for different markets, while order cancellation dynamics is less understood. There ... More

Computational experiments successfully predict the emergence of autocorrelations in ultra-high-frequency stock returnsMar 25 2014Feb 24 2018Social and economic systems are complex adaptive systems, in which heterogenous agents interact and evolve in a self-organized manner, and macroscopic laws emerge from microscopic properties. To understand the behaviors of complex systems, computational ... More

Central Engine-Powered Bright X-ray Flares in Short Gamma-Ray Bursts: A Hint of Black Hole-Neutron Star Merger?Mar 27 2018Short gamma-ray bursts may originate from the merger of double neutron stars (NS) or that of a black hole (BH) and an NS. We propose that the bright X-ray flare related to the central engine reactivity may hint a BH-NS merger, since such a merger can ... More

Evidence for local moment magnetism in superconducting FeTe0.35Se0.65Dec 10 2010The nature of the magnetic correlations in Fe-based superconductors remains a matter of controversy. To address this issue, we use inelastic neutron scattering to characterize the strength and temperature dependence of low-energy spin fluctuations in ... More

Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational ClassificationOct 20 2018Oct 25 2018The cryo-electron microscope (cryo-EM) is increasingly popular these years. It helps to uncover the biological structures and functions of macromolecules. In this paper, we address image denoising problem in cryo-EM. Denoising the cryo-EM images can help ... More

Superconductor terahertz metamaterialMar 26 2010We characterize the behaviour of split ring resonators made up of high-transition temperature YBCO superconductor using terahertz time domain spectroscopy. The superconductor metamaterial shows sharp change in the transmission spectrum at the fundamental ... More

Measuring outcome correlation for spin-s Bell cat-state and geometric phase induced spin parity effectMar 29 2019Aug 10 2019In terms of quantum probability statistics the Bell inequality (BI) and its violation are extended to spin-$s$ entangled Schr\"{o}dinger cat-state (called the Bell cat-state) with both parallel and antiparallel spin-polarizations. The BI is never ever ... More

Data Driven Robust Image Guided Depth Map RestorationDec 26 2015Depth maps captured by modern depth cameras such as Kinect and Time-of-Flight (ToF) are usually contaminated by missing data, noises and suffer from being of low resolution. In this paper, we present a robust method for high-quality restoration of a degraded ... More

Optical properties of the iron-chalcogenide superconductor FeTe0.55Se0.45Jul 08 2010Sep 29 2010The complex optical properties of the iron-chalcogenide superconductor FeTe0.55Se0.45 with Tc=14K have been examined over a wide frequency range for light polarized in the Fe-Te(Se) planes above and below Tc. At room temperature the optical response may ... More

Hiding a Realistic Object Using a Broadband Terahertz Invisibility CloakMay 02 2011The invisibility cloak has been a long-standing dream for many researchers over the decades. The introduction of transformational optics has revitalized this field by providing a general method to design material distributions to hide the subject from ... More

Effects of long memory in the order submission process on the properties of recurrence intervals of large price fluctuationsJan 12 2012Understanding the statistical properties of recurrence intervals of extreme events is crucial to risk assessment and management of complex systems. The probability distributions and correlations of recurrence intervals for many systems have been extensively ... More

Vertical Advection Effects on Hyper-accretion Disks and Potential Link between Gamma-ray Bursts and KilonovaeJan 26 2017Recent simulations on super-Eddington accretion flows have shown that, apart from the diffusion process, the vertical advection based on magnetic buoyancy can be a more efficient process to release the trapped photons in the optically thick disk. As a ... More

Potential Gamma-ray Emissions from Low-Mass X-ray Binary JetsApr 27 2015By proposing a pure leptonic radiation model, we study the potential gamma-ray emissions from jets of the low-mass X-ray binaries. In this model, the relativistic electrons that are accelerated in the jets are responsible for radiative outputs. Nevertheless, ... More

Revisiting the Thermal Stability of Radiation-dominated Thin DisksMar 02 2011Mar 03 2011The standard thin disk model predicts that when the accretion rate is over a small fraction of the Eddington rate, which corresponds to $L \ga 0.06 L_{Edd}$, the inner region of the disk is radiation-pressure-dominated and thermally unstable. However, ... More

Accurate Multi-physics Numerical Analysis of Particle Preconcentration Based on Ion Concentration PolarizationSep 06 2017This paper studies mechanism of preconcentration of charged particles in a straight micro-channel embedded with permselective membranes, by numerically solving coupled transport equations of ions, charged particles and solvent fluid without any simplifying ... More

Fringe pattern analysis using deep learningJul 08 2018In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase distribution from the recorded fringe patterns. Despite extensive research efforts for decades, how to extract the desired phase ... More

Effects of polynomial trends on detrending moving average analysisApr 28 2015The detrending moving average (DMA) algorithm is one of the best performing methods to quantify the long-term correlations in nonstationary time series. Many long-term correlated time series in real systems contain various trends. We investigate the effects ... More

On the origin of the HLX-1 outburstsAug 05 2016HLX-1, currently the best intermediate-mass black hole candidate, has undergone seven violent outbursts, each with a peak X-ray luminosity of $L_{\mathrm{peak},\mathrm{X}}\sim 10^{42}\ \rm{erg\ s^{-1}}$. Interestingly, the properties of the HLX-1 outbursts ... More

Can black-hole neutrino-cooled disks power short gamma-ray bursts?Apr 08 2015Stellar-mass black holes (BHs) surrounded by neutrino-dominated accretion flows (NDAFs) are the plausible candidates to power gamma-ray bursts (GRBs) via neutrinos emission and their annihilation. The progenitors of short-duration GRBs (SGRBs) are generally ... More

New Wolf-Rayet Galaxies with Detection of WC StarsSep 15 1998We report the discovery of two new Wolf-Rayet (WR) galaxies: Mrk~1039, and F08208$+$2816. Two broad WR bumps at 5808\AA~ and 4650\AA~ indicate the presence of WCE and WNL star population in all two sources. We also confirm the presenceof WR features in ... More

Three-Dimensional Cloaking Device Operates at Terahertz FrequenciesMar 17 2010The invisibility cloak has been a long-standing dream for many researchers over the decades. By transforming space and light propagation, a three-dimensional (3D) object can be perceived as having reduced number of dimensions, in the form of points, lines, ... More

A model of spreading of sudden events on social networksOct 06 2017May 06 2018Information spreading has been studied for decades, but its underlying mechanism is still under debate, especially for those ones spreading extremely fast through Internet. By focusing on the information spreading data of six typical events on Sina Weibo, ... More

External Shock in a Multi-Bursting Gamma-ray Burst: Energy Injection Phase induced by the Later Launched EjectaDec 04 2017Central engine of gamma-ray bursts (GRBs) may be intermittent and launch several episodes of ejecta separated by a long quiescent interval. In this scenario, an external shock is formed due to the propagation of the first launched ejecta into the circum-burst ... More

The spin Hall effect as a probe of nonlinear spin fluctuationsSep 13 2012The spin Hall effect and its inverse play key roles in spintronic devices since they allow conversion of charge currents to and from spin currents. The conversion efficiency strongly depends on material details, such as the electronic band structure and ... More

An analytic relation for the thickness of accretion flowsJul 12 2009We take the vertical distribution of the radial and azimuthal velocity into account in spherical coordinates, and find that the analytic relation c_{s0}/(v_K \Theta) = [(\gamma -1)/(2\gamma)]^{1/2} is valid for both geometrically thin and thick accretion ... More

Constraints on the Mass Accretion Rate of Neutrino-Cooled Disks in Gamma-Ray BurstsDec 26 2007We present a unified description of all the three known classes of optically thick accretion disks around black holes, namely Shakura-Sunyaev disks, slim disks, and neutrino-dominated accretion flows (NDAFs). It is found that NDAFs have both a maximal ... More

A `fast-burning' mechanism for magnetic diffusionFeb 12 2016Fast-burning mechanism describes the rapid penetration, with a sharp-shaped wave-front, of a strong magnetic field into a conductive metal whose electric resistance poses an abrupt rise at some critical temperature. With its wave-front sweeping over a ... More

Attending Category Disentangled Global Context for Image ClassificationDec 17 2018Jul 18 2019In this paper, we propose a general framework for image classification using the attention mechanism and global context, which could incorporate with various network architectures to improve their performance. To investigate the capability of the global ... More

Statistical properties of online avatar numbers in a massive multiplayer online role-playing gameApr 30 2009Massive multiplayer online role-playing games (MMORPGs) are very popular in past few years. The profit of an MMORPG company is proportional to how many users registered, and the instant number of online avatars is a key factor to assess how popular an ... More

Emergence of a Balanced Core through Dynamical Competition in Heterogeneous Neuronal NetworksOct 14 2017The balance between excitation and inhibition is crucial for neuronal computation. It is observed that the balanced state of neuronal networks exists in many experiments, yet its underlying mechanism remains to be fully clarified. Theoretical studies ... More

Thermal Stability of Magnetized, Optically Thin, Radiative Cooling-dominated Accretion DisksJan 06 2015We investigate the thermal stability of optically thin, two-temperature, radiative cooling-dominated accretion disks. Our linear analysis shows that the disk is thermally unstable without magnetic fields, which agrees with previous stability analysis ... More

Self-gravity in neutrino-dominated accretion disksJul 03 2014We present the effects of the self-gravity on the vertical structure and neutrino luminosity of the neutrino-dominated accretion disks in cylindrical coordinates. It is found that significant changes of the structure appear in the outer region of the ... More

Thick Accretion Disk Model for Ultraluminous Supersoft SourcesJan 18 2016We propose a geometrically thick, super-Eddington accretion disk model, where an optically thick wind is not necessary, to understand ultraluminous supersoft sources (ULSs). For high mass accretion rates $\dot M \ga 30\dot M_{\rm Edd}$ and not small inclination ... More

Gravitational Waves of Jet Precession in Gamma-ray BurstsApr 10 2012The physical nature of gamma-ray bursts (GRBs) are believed to involve an ultra-relativistic jet. The observed complex structure of light curves motivate the idea of jet precession. In this work, we study the gravitational waves of jet precession based ... More

Metric Based Quadrilateral Mesh GenerationNov 30 2018This work proposes a novel metric based algorithm for quadrilateral mesh generating. Each quad-mesh induces a Riemannian metric satisfying special conditions: the metric is a flat metric with cone signualrites conformal to the original metric, the total ... More

Charged spinning black holes as accelerators of spinning particlesAug 31 2016Nov 29 2016It is well known that some black holes can act as accelerators for particles without spin. Recently, there are some works considering collision of two spinning particles in the background of Schwarzschild and Kerr black holes and it was shown that {the ... More

Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical applicationSep 20 2015Many complex systems generate multifractal time series which are long-range cross-correlated. Numerous methods have been proposed to characterize the multifractal nature of these long-range cross correlations. However, several important issues about these ... More

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph ProximityApr 01 2019Jun 02 2019We introduce a novel approach to graph-level representation learning, which is to embed an entire graph into a vector space where the embeddings of two graphs preserve their graph-graph proximity. Our approach, UGRAPHEMB, is a general framework that provides ... More