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Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated VideosMar 20 2016Aug 03 2016With the widespread of user-generated Internet videos, emotion recognition in those videos attracts increasing research efforts. However, most existing works are based on framelevel visual features and/or audio features, which might fail to model the ... More

Conditional Sparse Coding and Grouped Multivariate RegressionJun 27 2012We study the problem of multivariate regression where the data are naturally grouped, and a regression matrix is to be estimated for each group. We propose an approach in which a dictionary of low rank parameter matrices is estimated across groups, and ... More

The g-Good-Neighbor Conditional Diagnosability of Locally Twisted CubesJan 11 2017In the work of Peng et al. in 2012, a new measure was proposed for fault diagnosis of systems: namely, g-good-neighbor conditional diagnosability, which requires that any fault-free vertex has at least g fault-free neighbors in the system. In this paper, ... More

Identifying codes of lexicographic product of graphsJun 18 2011Gravier et al. investigated the identifying codes of Cartesian product of two graphs. In this paper we consider the identifying codes of lexicographic product G[H] of a connected graph G and an arbitrary graph H, and obtain the minimum cardinality of ... More

High-dimensional nonparametric density estimation via symmetry and shape constraintsMar 14 2019We tackle the problem of high-dimensional nonparametric density estimation by taking the class of log-concave densities on $\mathbb{R}^p$ and incorporating within it symmetry assumptions, which facilitate scalable estimation algorithms and can mitigate ... More

A Rigidity Theorem for Affine Kähler-Ricci Flat GraphOct 19 2007Oct 20 2007It is shown that any smooth strictly convex global solution of $$\det(\frac{\partial^{2}u}{\partial \xi_{i}\partial \xi_{j}}) = \exp \left\{-\sum_{i=1}^n d_i \frac{\partial u}{\partial \xi_{i}} - d_0\right\},$$ where $d_0$, $d_1$,...,$d_n$ are constants, ... More

Learning Multi-level Deep Representations for Image Emotion ClassificationNov 22 2016Sep 25 2018In this paper, we propose a new deep network that learns multi-level deep representations for image emotion classification (MldrNet). Image emotion can be recognized through image semantics, image aesthetics and low-level visual features from both global ... More

Location of Poles for the Hastings-McLeod Solution to the Second Painlevé EquationOct 13 2014Jul 09 2015We show that the well-known Hastings-McLeod solution to the second Painlev\'{e} equation is pole-free in the region $\arg x \in [-\frac{\pi}{3},\frac{\pi}{3}]\cup [\frac{2\pi}{3},\frac{ 4 \pi}{3}]$, which proves an important special case of a general ... More

Cost-sensitive C4.5 with post-pruning and competitionNov 17 2012Decision tree is an effective classification approach in data mining and machine learning. In applications, test costs and misclassification costs should be considered while inducing decision trees. Recently, some cost-sensitive learning algorithms based ... More

A Comparative Study of Discretization Approaches for Granular Association Rule MiningDec 02 2012Dec 12 2012Granular association rule mining is a new relational data mining approach to reveal patterns hidden in multiple tables. The current research of granular association rule mining considers only nominal data. In this paper, we study the impact of discretization ... More

A phase-field model of relaxor ferroelectrics based on random field theoryNov 23 2015A mechanically coupled phase-field model is proposed for the first time to simulate the peculiar behavior of relaxor ferroelectrics. Based on the random field theory for relaxors, local random fields are introduced to characterize the effect of chemical ... More

Computational study on microstructure evolution and magnetic property of laser additively manufactured magnetic materialsFeb 27 2018Feb 13 2019Additive manufacturing (AM) offers an unprecedented opportunity for the quick production of complex shaped parts directly from a powder precursor. But its application to functional materials in general and magnetic materials in particular is still at ... More

Optimal Rates for Community Estimation in the Weighted Stochastic Block ModelJun 05 2017Sep 29 2018Community identification in a network is an important problem in fields such as social science, neuroscience, and genetics. Over the past decade, stochastic block models (SBMs) have emerged as a popular statistical framework for this problem. However, ... More

Darboux transformation and analytic solutions of the discrete \PT-symmetric nonlocal nonlinear Schrodinger equationJun 28 2016Nov 01 2016In this letter, for the discrete parity-time-symmetric nonlocal nonlinear Schr\"{o}dinger equation, we construct the Darboux transformation, which provides an algebraic iterative algorithm to obtain a series of analytic solutions from a known one. To ... More

Learning-Based Computation Offloading for IoT Devices with Energy HarvestingDec 23 2017Internet of Things (IoT) devices can apply mobile-edge computing (MEC) and energy harvesting (EH) to provide the satisfactory quality of experiences for computation intensive applications and prolong the battery lifetime. In this article, we investigate ... More

Generating Grasp Poses for a High-DOF Gripper Using Neural NetworksMar 01 2019We present a learning-based method to represent grasp poses of a high-DOF hand using neural networks. Due to the redundancy in such high-DOF grippers, there exists a large number of equally effective grasp poses for a given target object, making it difficult ... More

Attention-based Walking Gait and Direction Recognition in Wi-Fi NetworksNov 17 2018Jan 31 2019The study of human gait recognition has been becoming an active research field. In this paper, we propose to adopt the attention-based Recurrent Neural Network (RNN) encoder-decoder framework to implement a cycle-independent human gait and walking direction ... More

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by VisualizationsMay 31 2018Jun 07 2018The convolutional neural network (CNN) has become a powerful tool for various biomedical image analysis tasks, but there is a lack of visual explanation for the machinery of CNNs. In this paper, we present a novel algorithm, Respond-weighted Class Activation ... More

2PFPCE: Two-Phase Filter Pruning Based on Conditional EntropySep 06 2018Deep Convolutional Neural Networks~(CNNs) offer remarkable performance of classifications and regressions in many high-dimensional problems and have been widely utilized in real-word cognitive applications. However, high computational cost of CNNs greatly ... More

Feasibility study of channeling acceleration experiment at the Fermilab ASTA facilityFeb 06 2015Crystal channeling technology has offered various opportunities in accelerator community with a viability of ultrahigh gradient (TV/m) acceleration for future HEP collider in Energy Frontier. The major challenge of the channeling acceleration is that ... More

Adjoint-based optimization for thrust performance of a three-dimensional pitching-rolling plateSep 11 2018An adjoint-based optimization is applied to study the thrust performance of a pitching-rolling ellipsoidal plate in a uniform stream at Reynolds number 100. To achieve the highest thrust, the optimal kinematics of pitching-rolling motion is sought in ... More

Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic AlgorithmOct 26 2006The advances in WDM technology lead to the great interest in traffic grooming problems. As traffic often changes from time to time, the problem of grooming dynamic traffic is of great practical value. In this paper, we discuss dynamic grooming of traffic ... More

Probing the R-parity violating supersymmetric effects in the exclusive b\to c\ell^-\barν_\ell decaysFeb 21 2016Motivated by recent results from the LHCb, BABAR and Belle collaborations on B\to D^{(*)}\ell^-\bar{\nu}_\ell decays, which significantly deviate from the Standard Model and hint the possible new physics beyond the Standard Model, we probe the R-parity ... More

Automatic tracking of protein vesiclesJun 05 2015With the advance of fluorescence imaging technologies, recently cell biologists are able to record the movement of protein vesicles within a living cell. Automatic tracking of the movements of these vesicles become key for qualitative analysis of dynamics ... More

High-dimensional covariance estimation based on Gaussian graphical modelsSep 02 2010Jun 22 2011Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using $\ell_1$-penalization methods. We propose and study the following method. We combine a multiple regression approach ... More

Shift equivalence in the generalized factor orderDec 28 2016We provide a geometric condition that guarantees strong Wilf equivalence in the generalized factor order. This provides a powerful tool for proving specific and general Wilf equivalence results, and several such examples are given.

An Iterative Path-Breaking Approach with Mutation and Restart Strategies for the MAX-SAT ProblemAug 10 2018Although Path-Relinking is an effective local search method for many combinatorial optimization problems, its application is not straightforward in solving the MAX-SAT, an optimization variant of the satisfiability problem (SAT) that has many real-world ... More

Steady state current fluctuations and dynamical control in a nonequilibrium single-site Bose-Hubbard systemNov 01 2017We investigate nonequilibrium energy transfer in a single-site Bose-Hubbard model coupled to two thermal baths. By including a quantum kinetic equation combined with full counting statistics, we investigate the steady state energy flux and noise power. ... More

A TFD model for the Electrospheres of Bare Strange Quark StarsDec 17 2007We study the layer of electrons on bare strange star surfaces, taking the Dirac exchange-energy into account. Because electrons are fermions, the electron wave function must be of exchange-antisymmetry. The Dirac exchange-energy originates, consequently, ... More

Multiscale examination of strain effects in Nd-Fe-B permanent magnetsNov 28 2016Jul 14 2017We have performed a combined first-principles and micromagnetic study on the strain effects in Nd-Fe-B magnets. First-principles calculations on Nd2Fe14B reveal that the magnetocrystalline anisotropy (K) is insensitive to the deformation along c axis ... More

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-TomographyMay 16 2018Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells. For systematic recognition and recovery of macromolecular structures captured by CECT, methods ... More

Shadows of Kerr-like black holes in a modified gravity theoryOct 30 2018In this paper, the shadows casted by non-rotating and rotating modified gravity black holes are investigated. In addition to the black hole spin parameter $a$ and the inclination angle $\theta$ of observer, another parameter $\alpha$ measuring the deviation ... More

Quantum Cosmology of $f(R,T)$ gravityJul 30 2016Modified gravity theories have the potential of explaining the recent acceleration of the Universe without resorting to the mysterious concept of dark energy. In particular, it has been pointed out that matter-geometry coupling may be responsible for ... More

Notes on Chern's Affine Bernstein ConjectureApr 04 2011There were two famous conjectures on complete affine maximal surfaces, one due to E. Calabi, the other to S.S. Chern. Both were solved with different methods about one decade ago by studying the associated Euler-Lagrange equation. Here we survey two proofs ... More

Waiting times and stopping probabilities for patterns in Markov chainsFeb 21 2016Feb 20 2017Suppose that $\mathcal C$ is a finite collection of patterns. Observe a Markov chain until one of the patterns in $\mathcal C$ occurs as a run. This time is denoted by $\tau$. In this paper, we aim to give an easy way to calculate the mean waiting time ... More

Integrative analysis of gene expression and phenotype dataJun 29 2015The linking genotype to phenotype is the fundamental aim of modern genetics. We focus on study of links between gene expression data and phenotype data through integrative analysis. We propose three approaches. 1) The inherent complexity of phenotypes ... More

Global Gene Expression Analysis Using Machine Learning MethodsJun 05 2015Microarray is a technology to quantitatively monitor the expression of large number of genes in parallel. It has become one of the main tools for global gene expression analysis in molecular biology research in recent years. The large amount of expression ... More

Experimental Simulation of a Pairing Hamiltonian on an NMR Quantum ComputerOct 19 2004Oct 28 2004We have developed a concrete quantum simulation scheme and experimentally simulated a pairing model on an NMR quantum computer. The design of our experiment includes choosing an appropriate initial state in order to make our scheme scalable in near future, ... More

On Configurable Defense against Adversarial Example AttacksDec 06 2018Machine learning systems based on deep neural networks (DNNs) have gained mainstream adoption in many applications. Recently, however, DNNs are shown to be vulnerable to adversarial example attacks with slight perturbations on the inputs. Existing defense ... More

Phase-field modeling of non-isothermal grain coalescence in the unconventional sintering techniquesJun 07 2018A thermodynamically consistent phase-field model is developed to study the non-isothermal grain coalescence during the sintering process, with a potential application to the simulation in unconventional sintering techniques, e.g. spark plasma sintering, ... More

Feature Decomposition Based Saliency Detection in Electron Cryo-TomogramsJan 31 2018Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular structures at the submolecular resolution in close to the native state. However, due to the high degree of structural complexity and imaging limits, the automatic segmentation of cellular ... More

Ultrafast laser-induced subwavelength structures towards nanoscale: the significant role of plasmonic effectsSep 30 2011May 28 2012Nowadays, via controlling surface plasmons (SPs) on elaborate man-made structures, plasmonics aiming at manipulating light beyond the diffraction limit has aroused great interest. Here, nevertheless, we demonstrate in short-pulse laser ablation ultrafast ... More

Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-TomographyJan 31 2018Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule structure inside single cells. Macromolecule classification approaches based on convolutional neural networks (CNN) were developed to separate millions of macromolecules captured ... More

The Forwarding Indices of Graphs -- a SurveyApr 12 2012A routing $R$ of a given connected graph $G$ of order $n$ is a collection of $n(n-1)$ simple paths connecting every ordered pair of vertices of $G$. The vertex-forwarding index $\xi(G,R)$ of $G$ with respect to $R$ is defined as the maximum number of ... More

Algebraic solitons in the parity-time-symmetric nonlocal nonlinear Schrodinger modelMar 08 2015In this paper, via the generalized Darboux transformation, the algebraic soliton solutions are derived for the parity-time-symmetric nonlocal nonlinear Schrodinger model with the defocusing-type nonlinearity. The first-order solution can exhibit the elastic ... More

Improving Automatic Source Code Summarization via Deep Reinforcement LearningNov 17 2018Code summarization provides a high level natural language description of the function performed by code, as it can benefit the software maintenance, code categorization and retrieval. To the best of our knowledge, most state-of-the-art approaches follow ... More

Calculating temperature-dependent properties of Nd$_2$Fe$_{14}$B permanent magnets by atomistic spin model simulationsFeb 14 2019Temperature-dependent magnetic properties of Nd$_2$Fe$_{14}$B permanent magnets, i.e., saturation magnetization $M_\text{s}(T)$, effective magnetic anisotropy constants $K_i^\text{eff}(T)$ ($i=1,2,3$), domain wall width $\delta_w(T)$, and exchange stiffness ... More

On $g$-good-neighbor conditional diagnosability of $(n, k)$-star networksMar 22 2017The $g$-good-neighbor conditional diagnosability is a new measure for fault diagnosis of systems. Xu et al. [Theor. Comput. Sci. 659 (2017) 53--63] determined the $g$-good-neighbor conditional diagnosability of $(n, k)$-star networks $S_{n, k}$ (i.e., ... More

Analysis of $B_s\to φμ^+μ^-$ decay within supersymmetryMay 22 2013Motivated by the first measurement on $\mathcal{B}(B_s\to\phi \mu^+\mu^-)$ by the CDF Collaboration, we study the supersymmetric effects in semi-leptonic $B_s\to\phi\mu^+\mu^-$ decay. In our evaluations, we analyze the dependences of the dimuon invariant ... More

$J/ψ+ jet$ diffractive production in the direct photon process at HERAJun 09 1999We present a study of $J/\psi + jet$ diffractive production in the direct photon process at HERA based on the factorization theorem for lepton-induced hard diffractive scattering and the factorization formalism of the nonrelativistic QCD (NRQCD) for quarkonia ... More

Demonstration of the double Q^2-rescaling modelJul 29 1998In this paper we have demonstrated the double Q^2-rescaling model (DQ^2RM) of parton distribution functions of nucleon bounded in nucleus. With different x-region of l-A deep inelastic scattering process we take different approach: in high x-region (0.1\le ... More

Single Layer PCB Broadband Circular Polarisation Millimetre Wave Massive MIMO ArraySep 19 2018A single layer broadband millimetre wave (mm-wave) array with circular polarisation is proposed for the fifth generation (5G) mm-wave communication applications. The antenna element is designed to integrate the matching circuit into a single layer. Hence ... More

Mixed soliton solutions of the defocusing nonlocal nonlinear Schrodinger equationApr 03 2018By using the Darboux transformation, we obtain two new types of exponential-and-rational mixed soliton solutions for the defocusing nonlocal nonlinear Schrodinger equation. We reveal that the first type of solution can display a large variety of interactions ... More

Mass - metallicity relation and fundamental metallicity relation of metal-poor star-forming galaxies at $0.6<z<0.9$ from the eBOSS surveyOct 21 2018The stellar mass-metallicity relation ($M_* - Z$, MZR) indicates that the metallicities of galaxies increase with increasing stellar masses. The fundamental metallicity relation (FMR) suggests that the galaxies with higher star formation rates (SFRs) ... More

Ant Colony Algorithm for the Weighted Item Layout Optimization ProblemJan 24 2010This paper discusses the problem of placing weighted items in a circular container in two-dimensional space. This problem is of great practical significance in various mechanical engineering domains, such as the design of communication satellites. Two ... More

Forest Density EstimationJan 10 2010Oct 20 2010We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estimation, we do not assume the true distribution corresponds to a forest; rather, ... More

The super spanning connectivity of arrangement graphJun 13 2016Jun 16 2016A $k$-container $C(u, v)$ of a graph $G$ is a set of $k$ internally disjoint paths between $u$ and $v$. A $k$-container $C(u, v)$ of $G$ is a $k^*$-container if it is a spanning subgraph of $G$. A graph $G$ is $k^*$-connected if there exists a $k^*$-container ... More

Edge-fault-tolerant edge-bipancyclicity of balanced hypercubesJun 16 2016Jun 29 2016The balanced hypercube, $BH_n$, is a variant of hypercube $Q_n$. R.X. Hao et al. $(2014)$ \cite{R.X.Hao} showed that there exists a fault-free Hamiltonian path between any two adjacent vertices in $BH_n$ with $(2n-2)$ faulty edges. D.Q. Cheng et al. $(2015)$ ... More

Studies of Reynolds Stress and the Turbulent Generation of Edge Poloidal Flows on the HL-@A TokamakOct 08 2018Several new results in the physics of edge poloidal flows, turbulent stresses and momentum transport are reported. These are based on experiments on the HL-2A tokamak. Significant deviation from neoclassical prediction for mean poloidal flow in Ohmic ... More

Throughput capacity of two-hop relay MANETs under finite buffersSep 23 2015Since the seminal work of Grossglauser and Tse [1], the two-hop relay algorithm and its variants have been attractive for mobile ad hoc networks (MANETs) due to their simplicity and efficiency. However, most literature assumed an infinite buffer size ... More

Three-dimensional non-isothermal phase-field modeling of microstructure evolution during selective laser sinteringFeb 12 2019Feb 20 2019Predicting the microstructure during selective laser sintering (SLS) is of great interests, which can compliment the current time and cost expensive trial-and-error principle with an efficient computational design tool. However, it still remains a great ... More

Self-organized Emergence of Navigability on Small-World NetworksDec 21 2010This paper mainly investigates why small-world networks are navigable and how to navigate small-world networks. We find that the navigability can naturally emerge from self-organization in the absence of prior knowledge about underlying reference frames ... More

Evidence for topological proximity effect in graphene coupled to topological insulatorOct 12 2016The emergence of topological order in graphene is in great demand for the realization of quantum spin Hall states. Recently, it is theoretically proposed that the spin textures of surface states in topological insulator can be directly transferred to ... More

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matchingMay 12 2018Cellular Electron CryoTomography (CECT) is a 3D imaging technique that captures information about the structure and spatial organization of macromolecular complexes within single cells, in near-native state and at sub-molecular resolution. Although template ... More

Recurrent 3D Attentional Networks for End-to-End Active Object RecognitionOct 14 2016Mar 06 2019Active vision is inherently attention-driven: The agent actively selects views to attend in order to fast achieve the vision task while improving its internal representation of the scene being observed. Inspired by the recent success of attention-based ... More

Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methodsJun 05 2015Various approaches to gene selection for cancer classification based on microarray data can be found in the literature and they may be grouped into two categories: univariate methods and multivariate methods. Univariate methods look at each gene in the ... More

Efficient Hybrid Inline and Out-of-line Deduplication for Backup StorageMay 22 2014Backup storage systems often remove redundancy across backups via inline deduplication, which works by referring duplicate chunks of the latest backup to those of existing backups. However, inline deduplication degrades restore performance of the latest ... More

Adsorption and ultrafast diffusion of lithium in bilayer graphene ab initio and kinetic Monte Carlo simulation studyMar 06 2019In this work, we adopt first-principle calculations based on density functional theory and Kinetic Monte Carlo simulations to investigate the adsorption and diffusion of lithium in bilayer graphene (BLG) as anodes in lithium-ion batteries. Based on energy ... More

A bias-free quantum random number generation using photon arrival time selectivelyNov 30 2014May 20 2015We present a high-quality, bias-free quantum random number generator (QRNG) using photon arrival time selectively in accordance with the number of photon detection events within a sampling time interval in attenuated light. It is well showed in both theoretical ... More

Nucleon resonances in the $γp \to φK^+ Λ$ reaction near thresholdDec 19 2014Nov 26 2015We investigate the $\gamma p \to \phi K^+ \Lambda$ reaction near threshold within an effective Lagrangian approach and the isobar model. Various nucleon resonances caused by the $\pi$ and $\eta$ meson exchanges and background contributions are considered. ... More

Contagion on complex networks with persuasionMay 16 2016The threshold model has been widely adopted as a classic model for studying contagion processes on social networks. We consider asymmetric individual interactions in social networks and introduce a persuasion mechanism into the threshold model. Specifically, ... More

Deep learning based supervised semantic segmentation of Electron Cryo-SubtomogramsFeb 12 2018Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution. It enables analyzing the native structures of macromolecular complexes and their spatial ... More

Probing anomalous $WWγ$ Triple Gauge Bosons Coupling at LHeCNov 15 2017May 03 2018The precision measurement of the $WW\gamma$ vertex at the future Large Hadron electron Collider (LHeC) at CERN is discussed in this paper. We propose to measure this vertex in the $e^{-} p\to e^{-}W^{\pm}j$ channel as a complement to the conventional ... More

Telepresence Interaction by Touching Live Video ImagesDec 14 2015Aug 22 2016This paper presents a telepresence interaction framework based on touchscreen and telepresence-robot technologies. The core of the framework is a new user interface, Touchable live video Image based User Interface, called TIUI. The TIUI allows a remote ... More

Phase matched second harmonic generation in an on-chip lithium niobate microresonator fabricated by femtosecond laserSep 09 2015Dec 26 2015Nonlinear optical processes in whispering gallery mode (WGM) microresonators have attracted much attention. Owing to the strong confinement of light in a small volume, a WGM microresonator can dramatically boost the strength of light field, thereby promoting ... More

Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomogramsJan 29 2017Motivation: Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful tool for analyzing structures of macromolecular complexes and their spatial ... More

Recurrent 3D Attentional Networks for End-to-End Active Object RecognitionOct 14 2016Dec 25 2018Active vision is inherently attention-driven: The agent actively selects views to attend in order to fast achieve the vision task while improving its internal representation of the scene being observed. Inspired by the recent success of attention-based ... More

StructOpt: A modular materials structure optimization suite incorporating experimental data and simulated energiesJan 05 2019StructOpt, an open-source structure optimization suite, applies genetic algorithm and particle swarm methods to obtain atomic structures that minimize an objective function. The objective function typically consists of the energy and the error between ... More

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic MutationsJun 26 2018This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations. The machine learning task aims to classify genetic mutations based on text evidence from clinical ... More

Suppressing phase decoherence of a single atom qubit with CPMG sequenceJun 23 2013We experimentally demonstrate the strong suppression of dephasing of a qubit stored in a single \textsuperscript{87}Rb atom in an optical dipole trap by using Carr-Purcell-Meiboom-Gill(CPMG) pulse sequences. Regarded as a repetition of spin echo, CPMG ... More

Improved deep learning based macromolecules structure classification from electron cryo tomogramsJul 16 2017Cellular processes are governed by macromolecular complexes inside the cell. Study of the native structures of macromolecular complexes has been extremely difficult due to lack of data. With recent breakthroughs in Cellular electron cryo tomography (CECT) ... More

Disentangled Deep Autoencoding Regularization for Robust Image ClassificationFeb 27 2019In spite of achieving revolutionary successes in machine learning, deep convolutional neural networks have been recently found to be vulnerable to adversarial attacks and difficult to generalize to novel test images with reasonably large geometric transformations. ... More

Spectrum bandwidth narrowing of Thomson scattering X-rays with energy chirped electron beams from laser wakefield accelerationDec 21 2013We study incoherent Thomson scattering between an ultrashort laser pulse and an electron beam accelerated from a laser wakefield. The energy chirp effects of the accelerated electron beam on the final radiation spectrum bandwidth are investigated. It ... More

Classification of lung nodules in CT images based on Wasserstein distance in differential geometryJun 30 2018Lung nodules are commonly detected in screening for patients with a risk for lung cancer. Though the status of large nodules can be easily diagnosed by fine needle biopsy or bronchoscopy, small nodules are often difficult to classify on computed tomography ... More

A scheme for tunable quantum phase gate and effective preparation of graph-state entanglementJan 07 2008A scheme is presented for realizing a quantum phase gate with three-level atoms, solid-state qubits--often called artificial atoms, or ions that share a quantum data bus such as a single mode field in cavity QED system or a collective vibrational state ... More

Exact Non-Markovian Master Equation and Dispersive Probing of Non-Markovian ProcessSep 25 2012Dec 04 2012For a bosonic (fermionic) open system in a bath with many bosons (fermions) modes, we derive the exact non-Markovian master equation in which the memory effect of the bath is reflected in the time dependent decay rates. In this approach, the reduced density ... More

Ultralow-field Nuclear Magnetic Resonance Asymmetric SpectroscopyFeb 21 2019Ultralow-field nuclear magnetic resonance (NMR) provides a new regime for many applications ranging from materials science to fundamental physics. However, the experimentally observed spectra show asymmetric amplitudes, differing greatly from those predicted ... More

TZC: Efficient Inter-Process Communication for Robotics Middleware with Partial SerializationOct 01 2018Mar 01 2019Inter-process communication (IPC) is one of the core functions of modern robotics middleware. We propose an efficient IPC technique called TZC (Towards Zero-Copy). As a core component of TZC, we design a novel algorithm called partial serialization. Our ... More

On the metric dimension of line graphsJul 20 2011Let $G$ be a (di)graph. A set $W$ of vertices in $G$ is a \emph{resolving set} of $G$ if every vertex $u$ of $G$ is uniquely determined by its vector of distances to all the vertices in $W$. The \emph{metric dimension} $\mu (G)$ of $G$ is the minimum ... More

Constraints on Hybrid Inflation from Flat Directions in SupersymmetryAug 30 2006Oct 19 2006We examine the constraints on F-term hybrid inflation by considering the flat directions in the Minimal Supersymmetric Standard Model (MSSM). We find that some coupling terms between the flat direction fields and the field which dominates the energy density ... More

Optimal Redeeming Strategy of Stock LoansJun 03 2009A stock loan is a loan, secured by a stock, which gives the borrower the right to redeem the stock at any time before or on the loan maturity. The way of dividends distribution has a significant effect on the pricing of the stock loan and the optimal ... More

A way to solve BCS-type pairing modelSep 15 2004Oct 26 2004We propose a way to solve BCS-type pairing model by to exactly solve its spin-analogy in the subspace. The advantages of our method are to avoid to directly deal with the approximate procedure and to transfer an exponentially complicated problem to a ... More

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsDec 03 2015MXNet is a multi-language machine learning (ML) library to ease the development of ML algorithms, especially for deep neural networks. Embedded in the host language, it blends declarative symbolic expression with imperative tensor computation. It offers ... More

Unifying quantum heat transfer and superradiant signature in a nonequilibrium collective-qubit system: a polaron-transformed Redfield approachMar 04 2019We investigate full counting statistics of quantum heat transfer in a collective-qubit system, constructed by multi-qubits interacting with two thermal baths. The nonequilibrium polaron-transformed Redfield approach embedded with an auxiliary counting ... More

Optically Levitated Nanodumbbell Torsion Balance and GHz Nanomechanical RotorApr 18 2018Levitated optomechanics has great potentials in precision measurements, thermodynamics, macroscopic quantum mechanics and quantum sensing. Here we synthesize and optically levitate silica nanodumbbells in high vacuum. With a linearly polarized laser, ... More

A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5GMar 29 2018Drones are driving numerous and evolving use cases, and creating transformative socio-economic benefits. Drone operation needs wireless connectivity for communication between drones and ground control systems, among drones, and between drones and air ... More

An Extension for Direct Gauge Mediation of Metastable Supersymmetry BreakingDec 26 2007Apr 03 2009We study the direct mediation of metastable supersymmetry breaking by a \Phi^2-deformation to the ISS model and extend it by splitting both Tr\Phi and Tr\Phi^2 terms in the superpotential and gauging the flavor symmetry. We find that with such an extension ... More

A Hybrid Framework for Tumor Saliency EstimationJun 27 2018Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality. Most tumor segmentation approaches achieve good performance on BUS images collected in controlled ... More

X-ray light curve in GRB 170714A: evidence for quark star?Oct 12 2017Jan 29 2018Two plateaus and one following bump in the X-ray light curve of GRB 170714A have been detected by the \textit{Swift}/X-Ray Telescope, which could be very meaningful for the central engine of gamma-ray bursts (GRBs), implying that the origin of this burst ... More

Symmetry-enforced heavy-fermion physics in the quadruple-perovskite CaCu3Ir4O12May 02 2017Heavy-fermion materials are mostly rare-earth or actinide intermetallics with very few exceptions in d-electron systems. The physical mechanism for these d-electron heavy fermion systems remains unclear. Here by studying the quadruple-perovskite CaCu3Ir4O12, ... More