Results for "Mengjiao Lyu"

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Diffusion monte carlo calculations of three-body systemsApr 20 2018Application of diffusion Monte Carlo algorithm in three-body systems is studied. We develop a program and use it to calculate the property of various three-body systems. Regular Coulomb systems such as atoms, molecules and ions are investigated. Calculation ... More
Direct probing of the cluster structure in ${}^{12}$Be via $α$-knockout reactionFeb 08 2019May 07 2019Background: Recent theoretical and experimental researches using proton-induced $\alpha$-knockout reactions provide direct manifestation of $\alpha$-cluster formation in nuclei. In recent and future experiments, $\alpha$-knockout data are available for ... More
Manifestation of α-clustering in $^{10}$Be via α-knockout reactionDec 28 2017Apr 01 2018Background: Proton-induced {\alpha}-knockout reactions empower direct experimental manifestations of {\alpha}-clustering in nuclei. This is obtained by relating the theoretical descriptions of clustering states with experimental reaction observables. ... More
The tensor-optimized high-momentum antisymmetrized molecular dynamics with bare interaction and its application in ${}^{4}$He nucleusJul 30 2018Oct 14 2018We formulate the "tensor-optimized high-momentum antisymmetrized molecular dynamics (TO-HMAMD)" framework for ab initio calculations of nuclei by hybridizing the tensor-optimized (TO-) and high-momentum (HM-) AMD approaches. This hybrid approach has advantages ... More
High-momentum antisymmetrized molecular dynamics compared with tensor-optimized shell model for strong tensor correlationSep 03 2017Jan 04 2018We treat the tensor correlation in antisymmetrized molecular dynamics (AMD) including large-relative-momentum components among nucleon pairs for finite nuclei. The tensor correlation is described by using large imaginary centroid vectors of Gaussian wave ... More
New cluster approach on properties of 8-11Be isotopes with isospin-dependent spin-orbit potentialJun 20 2017The nonlocalized clustering approach is generalized to 8-11Be isotopes with isospin dependent spin-orbit potential. A new form of the Tohsaki-Horiuchi-Schuck-R\"opke (THSR) wave function is introduced to provide a correct description for the {\sigma}-binding ... More
Variational calculation of nuclear matter in finite particle number approach using unitary correlation operator and high-momentum pair methodsJan 31 2019We propose a new variational method for describing nuclear matter from nucleon-nucleon interaction. We use the unitary correlation operator method (UCOM) for central correlation to treat the short-range repulsion and further include the two-particle two-hole ... More
Investigation of ${}^9$Be from nonlocalized clustering conceptAug 22 2014Dec 31 2014The nonlocalized aspect of clustering, which is a new concept for self-conjugate nuclei, is extended for the investigation of the N{\not=}Z nucleus ${}^9$Be. A modified version of the THSR (Tohsaki-Horiuchi-Schuck-R\"opke) wave function is introduced ... More
Contact representation of short range correlation in light nuclei studied by the High-Momentum Antisymmetrized Molecular DynamicsNov 01 2018The high-momentum antisymmetrized molecular dynamics (HMAMD) is a new promising framework with significant analytical simplicity and efficiency inherited from its antisymmetrized molecular dynamics in describing the high momentum correlations in various ... More
Investigation of the pairing effect in 10B nucleus compared with 10Be and 10C nuclei by using the extended THSR wave functionOct 10 2018Oct 11 2018In order to study the nucleon-nucleon pairing effects in clustering nuclei, we formulate a superposed Tohsaki-Horiuchi-Schuck-Roepke (THSR) wave function, which includes both molecular-orbit and pairing configurations explicitly. With this new wave function, ... More
Investigation of the 9B nucleus and its cluster-nucleon correlationsJan 18 2018In order to study the correlation between clusters and nucleons in light nuclei, we formulate a new superposed THSR wave function which describes both spatial large spreading and cluster-correlated dynamics of valence nucleons. By using the new THSR wave ... More
BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground TruthJul 23 2019Interpretability is rising as an important area of research in machine learning for safer deployment of machine learning systems. Despite active developments, quantitative evaluation of interpretability methods remains a challenge due to the lack of ground ... More
Investigation of $^{23}$N in a three-body modelDec 31 2014The neutron-drip-line nucleus $^{23}$N is investigated in a three-body model consisting of a $^{21}$N core and two valence neutrons. By solving the Faddeev equations with the realistic neutron-neutron potentials and the neutron-core potentials, we calculate ... More
Direct probing of the cluster structure in ${}^{12}$Be via $α$-knockout reactionFeb 08 2019Feb 14 2019Background: Recent theoretical and experimental researches using proton-induced $\alpha$-knockout reactions provide direct manifestation of $\alpha$-cluster formation in nuclei. In recent and future experiments, $\alpha$-knockout data are available for ... More
Direct probing of the cluster structure in ${}^{12}$Be via $α$-knockout reactionFeb 08 2019Background: Recent theoretical and experimental researches using proton-induced $\alpha$-knockout reactions provide direct manifestation of $\alpha$-cluster formation in nuclei. In recent and future experiments, $\alpha$-knockout data are available for ... More
Hybridization of tensor-optimized and high-momentum antisymmetrized molecular dynamics for light nuclei with bare interactionNov 27 2017Dec 28 2017Many-body correlations play an essential role in the ab initio description of nuclei with nuclear bare interactions. We propose a new framework to describe light nuclei by the hybridization of the tensor-optimized antisymmetrized molecular dynamics (TOAMD) ... More
Minor stars in plane graphs with minimum degree fiveJun 08 2017Nov 18 2018The weight of a subgraph $H$ in $G$ is the sum of the degrees in $G$ of vertices of $H$. The {\em height} of a subgraph $H$ in $G$ is the maximum degree of vertices of $H$ in $G$. A star in a given graph is minor if its center has degree at most five ... More
Investigation of 10Be and its cluster dynamics from nonlocalized clustering conceptDec 24 2015We extend the new concept of nonlocalized clustering to the nucleus 10Be with proton number Z=4 and neutron number N=6 (N=Z+2). The Tohsaki-Horiuchi-Schuck-R\"opke (THSR) wave function is formulated for the description of different structures of 10Be. ... More
Phase transition in firefly cellular automata on finite treesOct 04 2016We study a one-parameter family of discrete dynamical systems called the $\kappa$-color firefly cellular automata, proposed by the author in [13] as discrete models for finite-state pulse-coupled inhibitory oscillators. At each discrete time $t$, each ... More
Interpretation and Generalization of Score MatchingMay 09 2012Score matching is a recently developed parameter learning method that is particularly effective to complicated high dimensional density models with intractable partition functions. In this paper, we study two issues that have not been completely resolved ... More
A dynamic logic method for determining behaviors of biological networksJun 10 2008A dynamic logic method was developed to analyze molecular networks of cells by combining Kauffman and Thomas's logic operations with molecular interaction parameters. The logic operations characterize the discrete interactions between biological components. ... More
Chromatic number, induced cycles, and non-separating cyclesNov 03 2012Oct 05 2016We show that connected graphs with large chromatic number must contain a large number of induced cycles, and that 3-connected graphs with large clique minor contains many induced non-separating cycles, which are known to generate the cycle space of any ... More
A new global 1-form in Lyra geometric cosmos modelOct 24 2012May 09 2014Dark energy phenomena has inspired lots of investigations on the cosmological constant problems. In order to understand its origin and properties as well as its impacts on universe's evolutions, there are many approaches to modify the well-known General ... More
A Note on Graph Characteristics and Hadwiger's ConjectureMar 16 2012Nov 27 2012This is a note on three graph parameters motivated by the Euler-Poincare characteristic for simplicial complex. We show those three graph parameters of a given connected graph $G$ is greater than or equal to that of the complete graph with $\max(h(G),\chi(G))$ ... More
Phase synchronization of pulse-coupled excitable clocksApr 28 2016Consider a distributed network on a simple graph $G=(V,E)$ where each node has a phase oscillator revolving on $S^{1}=\mathbb{R}/\mathbb{Z}$ with natural period of 1 second. Pulse-coupling is a class of distributed time evolution rule for such networked ... More
Universal generation of the cylinder homomorphism of cubic hypersurfacesOct 29 2018Dec 16 2018In this article, we prove that the Chow group of algebraic cycles of a smooth cubic hypersurface $X$ over an arbitrary field $k$ is generated, via the natural cylinder homomorphism, by the algebraic cycles of its Fano variety of lines $F(X)$, under an ... More
Synchronization of finite-state pulse-coupled oscillatorsJul 04 2014Mar 30 2015We propose a novel generalized cellular automaton(GCA) model for discrete-time pulse-coupled oscillators and study the emergence of synchrony. Given a finite simple graph and an integer $n\ge 3$, each vertex is an identical oscillator of period $n$ with ... More
Global synchronization of pulse-coupled oscillators on treesApr 28 2016Dec 16 2017Consider a distributed network on a finite simple graph $G=(V,E)$ with diameter $d$ and maximum degree $\Delta$, where each node has a phase oscillator revolving on $S^{1}=\mathbb{R}/\mathbb{Z}$ with unit speed. Pulse-coupling is a class of distributed ... More
Knowledge-Based Sequential Decision-Making Under UncertaintyMay 16 2019Deep reinforcement learning (DRL) algorithms have achieved great success on sequential decision-making problems, yet is criticized for the lack of data-efficiency and explainability. Especially, explainability of subtasks is critical in hierarchical decision-making ... More
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker VerificationNov 17 2017J-vector has been proved to be very effective in text-dependent speaker verification with short-duration speech. However, the current state-of-the-art back-end classifiers, e.g. joint Bayesian model, cannot make full use of such deep features. In this ... More
Laser Calibration System in JUNONov 01 2018Dec 14 2018A UV laser calibration system is developed for the Jiangmen Underground Neutrino Observatory (JUNO), a 20-kton liquid scintillator-based, long baseline reactor anti-neutrino experiment. This system is capable of delivering fast laser pulses (<1 ns) into ... More
Why the Shock-ICME Complex Structure is Important: Learning From the Early 2017 September CMEsMay 14 2018In the early days of 2017 September, an exceptionally energetic solar active region AR12673 aroused great interest in the solar physics community. It produced four X class flares, more than 20 CMEs and an intense geomagnetic storm, for which the peak ... More
Learning color space adaptation from synthetic to real images of cirrus cloudsOct 24 2018Training on synthetic data is becoming popular in vision due to the convenient acquisition of accurate pixel-level labels. But the domain gap between synthetic and real images significantly degrades the performance of the trained model. We propose a color ... More
Network-Connected UAV: 3D System Modeling and Coverage Performance AnalysisJan 19 2019With growing popularity, unmanned aerial vehicles (UAVs) are pivotally extending conventional terrestrial Internet of Things (IoT) into the sky. To enable high-performance two-way communications of UAVs with their ground pilots/users, cellular network-connected ... More
Road Segmentation Using CNN with GRUApr 14 2018This paper presents an accurate and fast algorithm for road segmentation using convolutional neural network (CNN) and gated recurrent units (GRU). For autonomous vehicles, road segmentation is a fundamental task that can provide the drivable area for ... 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
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word RecognitionNov 07 2018We propose and study a new projection formula for training binary weight convolutional neural networks. The projection formula measures the error in approximating a full precision (32 bit) vector by a 1-bit vector in the l_1 norm instead of the standard ... More
Hybrid Vector Perturbation Precoding: The Blessing of Approximate Message PassingOct 10 2017Jun 08 2018Vector perturbation (VP) precoding is a promising technique for multiuser communication systems operating in the downlink. In this work, we introduce a hybrid framework to improve the performance of lattice reduction (LR) aided precoding in VP. First, ... More
De-identification without losing facesFeb 12 2019Training of deep learning models for computer vision requires large image or video datasets from real world. Often, in collecting such datasets, we need to protect the privacy of the people captured in the images or videos, while still preserve the useful ... More
Blocking Probability and Spatial Throughput Characterization for Cellular-Enabled UAV Network with Directional AntennaOct 28 2017The past few years have witnessed a tremendous increase on the use of unmanned aerial vehicles (UAVs) in civilian applications, which call for high-performance communication between UAVs and their ground clients, especially when they are densely deployed. ... More
On high order accurate schemes for space fractional diffusion equations with variable coefficientsAug 29 2016Sep 29 2016We study high order schemes for spatial fractional differential equations with variable coefficients. Approximations of fractional derivatives basing on the weighted and shifted Gr\"unwald-Letnikov formulas and weighted and shifted Lubich formulas are ... More
The phase structure of asymmetric ballistic annihilationNov 20 2018Feb 03 2019In ballistic annihilation, particles are placed throughout the real line with independent spacings and each is assigned a velocity. The particles then move at their assigned velocity and annihilate upon colliding. We develop a framework based on a mass ... More
TTR-Based Rewards for Reinforcement Learning with Implicit Model PriorsMar 23 2019Model-free reinforcement learning (RL) provides an attractive approach for learning control policies directly in high dimensional state spaces. However, many goal-oriented tasks involving sparse rewards remain difficult to solve with state-of-the-art ... More
Harnack and Shift Harnack Inequalities for Degenerate (Functional) SPDEs with Singular DriftsApr 06 2019The existence and uniqueness of the mild solutions for a class of degenerate functional SPDEs are obtained, where the drift is assumed to be H\"{o}lder-Dini continuous. Moreover, the non-explosion of the solution is proved under some reasonable conditions. ... More
Remarks on Automorphism and Cohomology of Cyclic CoveringsMay 18 2017Aug 20 2019For a smooth finite cyclic covering over a projective space of dimension great than one, we show that its automorphism group faithfully acts on its cohomology except for a few cases. In characteristic zero, we study the equivariant deformation theory ... More
Remarks on Automorphism and Cohomology of Cyclic CoveringsMay 18 2017We show that the automorphism group of a smooth cyclic covering acts on its cohomology faithfully with a few well known exceptions. Firstly, we prove the faithfulness of the action in characteristic zero. The main ingredients of the proof are equivariant ... More
Tunneling magnetoresistance in diluted magnetic semiconductor tunnel junctionsJan 15 2001Using the spin-polarized tunneling model and taking into account the basic physics of ferromagnetic semiconductors, we study the temperature dependence of the tunneling magnetoresistance (TMR) in the diluted magnetic semiconductor (DMS) trilayer heterostructure ... More
LSTM with Working MemoryMay 06 2016Mar 30 2017Previous RNN architectures have largely been superseded by LSTM, or "Long Short-Term Memory". Since its introduction, there have been many variations on this simple design. However, it is still widely used and we are not aware of a gated-RNN architecture ... More
On high order accurate schemes for space fractional diffusion equations with variable coefficientsAug 29 2016Oct 14 2016We study high order schemes for spatial fractional differential equations with variable coefficients. Approximations of fractional derivatives basing on the weighted and shifted Gr\"unwald-Letnikov formulas and weighted and shifted Lubich formulas are ... More
Exposing DeepFake Videos By Detecting Face Warping ArtifactsNov 01 2018Mar 29 2019In this work, we describe a new deep learning based method that can effectively distinguish AI-generated fake videos (referred to as {\em DeepFake} videos hereafter) from real videos. Our method is based on the observations that current DeepFake algorithm ... More
On the noise prediction for serrated leading edgesJun 14 2017An analytical model is developed for the prediction of noise radiated by an aerofoil with leading edge serration in a subsonic turbulent stream. The model makes use of the Fourier Expansion and Schwarzschild techniques in order to solve a set of coupled ... More
Experimental validation of the hybrid scattering model of installed jet noiseJul 31 2018Jet installation causes jet noise to be amplified significantly at low frequencies and its physical mechanism must be understood to develop effective aircraft noise reduction strategies. A hybrid semi-empirical prediction model has recently been developed ... More
A Fast 2-Approximation Algorithm for Guarding Orthogonal TerrainsMay 11 2016May 17 2016Terrain Guarding Problem(TGP), which is known to be NP-complete, asks to find a smallest set of guard locations on a terrain $T$ such that every point on $T$ is visible by a guard. Here, we study this problem on 1.5D orthogonal terrains where the edges ... More
AMR Parsing as Graph Prediction with Latent AlignmentMay 14 2018Abstract meaning representations (AMRs) are broad-coverage sentence-level semantic representations. AMRs represent sentences as rooted labeled directed acyclic graphs. AMR parsing is challenging partly due to the lack of annotated alignments between nodes ... More
Extremal digraphs avoiding an orientation of $C_4$Feb 09 2018Let $P_{2,2}$ be the orientation of $C_4$ which consists of two 2-paths with the same initial and terminal vertices. In this paper, we determine the maximum size of $P_{2,2}$-free digraphs of order $n$ as well as the extremal digraphs attaining the maximum ... More
0-1 matrices with zero trace whose squares are 0-1 matricesMar 04 2018In this paper, we determine the maximum number of nonzero entries in 0-1 matrices of order $n$ with zero trace whose squares are 0-1 matrices when $n\ge 8$. The extremal matrices attaining this maximum number are also characterized.
Core-compactness of Smyth powerspacesJul 10 2019We prove that the Smyth powerspace Q(X) of a topological space X is core-compact if and only if X is locally compact. As a straightforward consequence we obtain that the Smyth powerspace construction does not preserve core-compactness generally.
LSTM with Working MemoryMay 06 2016May 13 2016LSTM is arguably the most successful RNN architecture for many tasks that involve sequential information. In the past few years there have been several proposed improvements to LSTM. We propose an improvement to LSTM which allows communication between ... More
Quantitative MRI: Absolute T1, T2 and Proton Density Parameters from Deep LearningJun 19 2018Quantitative MRI is highly desirable in terms of intrinsic tissue parameters such as T1, T2 and proton density. This approach promises to minimize diagnostic variability and differentiate normal and pathological tissues by comparing tissue parameters ... More
Exposing DeepFake Videos By Detecting Face Warping ArtifactsNov 01 2018In this work, we describe a new deep learning based method that can effectively distinguish AI-generated fake videos (referred to as DeepFake videos hereafter) from real videos. Our method is based on the observations that current DeepFake algorithm can ... More
Dynamical Quantum Phase Transitions in Interacting Atomic InterferometersJul 09 2018Particle-wave duality has allowed physicists to establish atomic interferometers as celebrated complements to their optical counterparts in a broad range of quantum devices. However, interactions naturally lead to decoherence and have been considered ... More
Gradient Descent Maximizes the Margin of Homogeneous Neural NetworksJun 13 2019Recent works on implicit regularization have shown that gradient descent converges to the max-margin direction for logistic regression with one-layer or multi-layer linear networks. In this paper, we generalize this result to homogeneous neural networks, ... More
Ferromagnetism in diluted magnetic semiconductor quantum dot arrays embedded in semiconductorsOct 29 2002We present an Anderson-type model Hamiltonian with exchange coupling between the localized spins and the confined holes in the quantum dots to study the ferromagnetism in diluted magnetic semiconductor (DMS) quantum dot arrays embedded in semiconductors. ... More
Network-Connected UAV: 3D System Modeling and Coverage Performance AnalysisJan 19 2019Apr 25 2019With growing popularity, unmanned aerial vehicles (UAVs) are pivotally extending conventional terrestrial Internet of Things (IoT) into the sky. To enable high-performance two-way communications of UAVs with their ground pilots/users, cellular network-connected ... More
Temporal stability analysis of jets of lobed geometryOct 17 2018A 2D temporal incompressible stability analysis is carried out for lobed jets. The jet base flow is assumed to be parallel and of a vortex-sheet type. The eigenfunctions of this simplified stability problem are expanded using the eigenfunctions of a round ... More
Curriculum Loss: Robust Learning and Generalization against Label CorruptionMay 24 2019May 28 2019Generalization is vital important for many deep network models. It becomes more challenging when high robustness is required for learning with noisy labels. The 0-1 loss has monotonic relationship between empirical adversary (reweighted) risk, and it ... More
The Intrinsic Far-infrared Continua of Type-1 QuasarsApr 23 2017May 25 2017The range of currently proposed active galactic nucleus (AGN) far-infrared templates results in uncertainties in retrieving host galaxy information from infrared observations and also undermines constraints on the outer part of the AGN torus. We discuss ... More
Frequent Item-set Mining without Ubiquitous ItemsMar 29 2018Frequent Item-set Mining (FIM), sometimes called Market Basket Analysis (MBA) or Association Rule Learning (ARL), are Machine Learning (ML) methods for creating rules from datasets of transactions of items. Most methods identify items likely to appear ... More
FASHION: Fault-Aware Self-Healing Intelligent On-chip NetworkFeb 08 2017To avoid packet loss and deadlock scenarios that arise due to faults or power gating in multicore and many-core systems, the network-on-chip needs to possess resilient communication and load-balancing properties. In this work, we introduce the Fashion ... More
Rapid noise prediction models for serrated leading and trailing edgesJun 06 2019Leading- and trailing-edge serrations have been widely used to reduce the leading- and trailing-edge noise in applications such as contra-rotating fans and large wind turbines. Recent studies show that these two noise problems can be modelled analytically ... More
Four-Dimensional Discrete-time Lotka-Volterra Models with an Application to EcologyNov 26 2012This paper presents a study of the two-predators-two-preys discrete-time Lotka-Volterra model with self- inhibition terms for preys with direct applications to ecological problems. Parameters in the model are modified so that each of them has its own ... More
Curriculum Loss: Robust Learning and Generalization against Label CorruptionMay 24 2019Generalization is vital important for many deep network models. It becomes more challenging when high robustness is required for learning with noisy labels. The 0-1 loss has monotonic relationship between empirical adversary (reweighted) risk, and it ... More
Approximately Optimal Auctions for Selling Privacy when Costs are Correlated with DataApr 18 2012We consider a scenario in which a database stores sensitive data of users and an analyst wants to estimate statistics of the data. The users may suffer a cost when their data are used in which case they should be compensated. The analyst wishes to get ... More
Theoretical Analysis of Auto Rate-Tuning by Batch NormalizationDec 10 2018Batch Normalization (BN) has become a cornerstone of deep learning across diverse architectures, appearing to help optimization as well as generalization. While the idea makes intuitive sense, theoretical analysis of its effectiveness has been lacking. ... More
Optimizing coverage of 3D Wireless Multimedia Sensor Networks by means of deploying redundant sensorsSep 16 2015Coverage is one of the fundamental issues in wireless multimedia sensor networks (WMSNs). It reflects the ability of WMSNs to detect the fields. Motivated by the existing-enhancing algorithm of traditional 2D WMSNs, a new 3D WMSNs sensing model is established ... More
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye BlinkingJun 07 2018Jun 11 2018The new developments in deep generative networks have significantly improve the quality and efficiency in generating realistically-looking fake face videos. In this work, we describe a new method to expose fake face videos generated with neural networks. ... More
Contrast Enhancement Estimation for Digital Image ForensicsJun 13 2017Inconsistency in contrast enhancement can be used to expose image forgeries. In this work, we describe a new method to estimate contrast enhancement from a single image. Our method takes advantage of the nature of contrast enhancement as a mapping between ... More
A Unified Gradient Regularization Family for Adversarial ExamplesNov 19 2015Adversarial examples are augmented data points generated by imperceptible perturbation of input samples. They have recently drawn much attention with the machine learning and data mining community. Being difficult to distinguish from real examples, such ... More
Randomized box-ball systems, limit shape of rigged configurations and Thermodynamic Bethe ansatzAug 08 2018Oct 09 2018We introduce a probability distribution on the set of states in a generalized box-ball system associated with Kirillov-Reshetikhin (KR) crystals of type $A^{(1)}_n$. Their conserved quantities induce $n$-tuple of random Young diagrams in the rigged configurations. ... More
Dust in Active Galactic Nuclei: Anomalous Silicate to Optical Extinction Ratios?Jul 03 2014Sep 04 2014Dust plays a central role in the unification theory of active galactic nuclei (AGNs). However, little is known about the nature (e.g., size, composition) of the dust which forms a torus around the AGN. In this Letter we report a systematic exploration ... More
A Survey of Point-of-interest Recommendation in Location-based Social NetworksJul 03 2016Point-of-interest (POI) recommendation that suggests new places for users to visit arises with the popularity of location-based social networks (LBSNs). Due to the importance of POI recommendation in LBSNs, it has attracted much academic and industrial ... More
N-Version Obfuscation: Impeding Software Tampering Replication with Program DiversityJun 08 2015Tamper-resistance is a fundamental software security research area. Many approaches have been proposed to thwart specific procedures of tampering, e.g., obfuscation and self-checksumming. However, to our best knowledge, none of them can achieve theoretically ... More
Discovery of a correlation between the frequency of the mHz quasi-periodic oscillations and the neutron-star temperature in the low-mass X-ray binary 4U 1636-53Sep 30 2014We detected millihertz quasi-periodic oscillations (QPOs) in an XMM-Newton observation of the neutron-star low-mass X-ray binary 4U 1636-53. These QPOs have been interpreted as marginally-stable burning on the neutron-star surface. At the beginning of ... More
Exposing Deep Fakes Using Inconsistent Head PosesNov 01 2018Nov 13 2018In this paper, we propose a new method to expose AI-generated fake face images or videos (commonly known as the Deep Fakes). Our method is based on the observations that Deep Fakes are created by splicing synthesized face region into the original image, ... More
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding OptimizationDec 01 2018Sampling from the lattice Gaussian distribution has emerged as an important problem in coding, decoding and cryptography. In this paper, lattice reduction technique is adopted to Gibbs sampler for lattice Gaussian sampling. Firstly, with respect to lattice ... More
Road Segmentation Using CNN and Distributed LSTMAug 10 2018Mar 05 2019In automated driving systems (ADS) and advanced driver-assistance systems (ADAS), an efficient road segmentation is necessary to perceive the drivable region and build an occupancy map for path planning. The existing algorithms implement gigantic convolutional ... More
High Resolution Gamma Ray Detection in a Dual Phase Xenon Time Projection ChamberSep 22 2013Dec 03 2013Dual phase Xenon Time Projection Chambers (XeTPCs) are being used by several experiments as a promising technique for direct detection of dark matter. We report on the design and performance of a small 3-D sensitive dual phase XeTPC. The position resolution ... More
Limiting behavior of 3-color excitable media on arbitrary graphsOct 24 2016Fix a simple graph $G=(V,E)$ and choose a random initial 3-coloring of vertices drawn from a uniform product measure. The 3-color cycle cellular automaton is a process in which at each discrete time step in parallel, every vertex with color $i$ advances ... More
On the Optimality of Gauss's Algorithm over Euclidean Imaginary Quadratic FieldsApr 10 2019In this paper, we continue our previous work on the reduction of algebraic lattices over imaginary quadratic fields for the special case when the lattice is spanned over a two dimensional basis. In particular, we show that the algebraicvariant of Gauss ... More
Harmonic State Space Modeling of a Three-Phase Modular Multilevel ConverterJun 29 2017This paper presents the harmonic state space (HSS) modeling of a three-phase modular multilevel converter (MMC). MMC is a converter system with a typical multi-frequency response due to its significant harmonics in the arm currents, capacitor voltages, ... More
Understanding the Sparse Vector Technique for Differential PrivacyMar 05 2016Sep 17 2016The Sparse Vector Technique (SVT) is a fundamental technique for satisfying differential privacy and has the unique quality that one can output some query answers without apparently paying any privacy cost. SVT has been used in both the interactive setting, ... More
Turán problems for digraphs avoiding distinct walks of a given length with the same endpointsAug 22 2016Let $n \ge 5$ and $k\ge 4$ be positive integers. We determine the maximum size of digraphs of order n that avoid distinct walks of length k with the same endpoints. We also characterize the extremal digraphs attaining this maximum number when $k \ge 5$. ... More
Painlevé III$'$ and the Hankel Determinant Generated by a Singularly Perturbed Gaussian WeightJul 16 2018In this paper, we study the Hankel determinant generated by a singularly perturbed Gaussian weight $$ w(x,t)=\mathrm{e}^{-x^{2}-\frac{t}{x^{2}}},\;\;x\in(-\infty, \infty),\;\;t>0. $$ By using the ladder operator approach associated with the orthogonal ... More
Double jump phase transition in a soliton cellular automatonJun 18 2017Jun 27 2018In this paper, we consider the soliton cellular automaton introduced in [Takahashi 1990] with a random initial configuration. We give multiple constructions of a Young diagram describing various statistics of the system in terms of familiar objects like ... More
A fast linearized finite difference method for the nonlinear multi-term time-fractional wave equationFeb 21 2019In this paper, we study a fast and linearized finite difference method to solve the nonlinear time-fractional wave equation with multi fractional orders. We first propose a discretization to the multi-term Caputo derivative based on the recently established ... More
Towards to $H_0$ Tension by the Theoretical Hubble Parameter in the Infinite FutureMay 31 2019There exists a constant value of $H(z)$ at $z=-1$ when in $\omega$CDM universe with $\omega > -1$, which is independent on other cosmological parameters. We first combine this theoretical $H(z)$ value with the latest 43 observational $H(z)$ data (OHD) ... More
Learning Fixation Point Strategy for Object Detection and ClassificationDec 19 2017We propose a novel recurrent attentional structure to localize and recognize objects jointly. The network can learn to extract a sequence of local observations with detailed appearance and rough context, instead of sliding windows or convolutions on the ... More
Distribution-based Label Space Transformation for Multi-label LearningMay 15 2018Multi-label learning problems have manifested themselves in various machine learning applications. The key to successful multi-label learning algorithms lies in the exploration of inter-label correlations, which usually incur great computational cost. ... More
Cyclical Multiple Access in UAV-Aided Communications: A Throughput-Delay TradeoffAug 10 2016This letter studies a wireless system consisting of distributed ground terminals (GTs) communicating with an unmanned aerial vehicle (UAV) that serves as a mobile base station (BS). The UAV flies cyclically above the GTs at a fixed altitude, which results ... More