Results for "Peng Sun"

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On the Entropy of Flows with Reparametrized Gluing Orbit PropertySep 27 2018We show that a flow or a semiflow with a weaker reparametrized form of gluing orbit property is either minimal or of positive topological entropy.
Ergodic properties of N-continued fractionsApr 26 2017Apr 29 2018We discuss some ergodic properties of the generalized Gauss transformation $$T_N(x)=\{\frac{N}{x}\}.$$ We generalize a series of results for the regular continued fractions, such as Khinchin's constant and L\'evy's constant.
A Generalization of Gauss-Kuzmin-Lévy TheoremMay 08 2017Nov 09 2017We prove a generalized Gauss-Kuzmin-L\'evy theorem for the $p$-numerated generalized Gauss transformation $$T_p(x)=\{\frac{p}{x}\}.$$ In addition, we give an estimate for the constant that appears in the theorem.
A Generalization of the Gauss-Kuzmin-Wirsing constantJun 14 2017We generalize the result of Wirsing on Gauss transformation to the generalized tranformation $T_p(x)=\{\cfrac{p}{x}\}$ for any positive integer $p$. We give an estimate for the generalized Gauss-Kuzmin-Wirsing constant.
Zero-Entropy Dynamical Systems with Gluing Orbit PropertyOct 21 2018We show that a dynamical system with gluing orbit property and zero topological entropy is equicontinuous, hence it is topologically conjugate to a minimal rotation.
Measures of Intermediate Entropies for Skew Product DiffeomorphismsJun 10 2009Jan 18 2010In this paper we study a skew product map $F$ with a measure $\mu$ of positive entropy. We show that if on the fibers the map are $C^{1+\alpha}$ diffeomorphisms with nonzero Lyapunov exponents, then $F$ has ergodic measures of intermediate entropies. ... More
Exponential Decay of Expansive ConstantsJan 04 2011A map $f$ on a compact metric space is expansive if and only if $f^n$ is expansive. We study the exponential rate of decay of the expansive constant of $f^n$. A major result is that this rate times box dimension bounds topological entropy.
Zero-Entropy Dynamical Systems with Gluing Orbit PropertyOct 21 2018Apr 06 2019We show that a dynamical system with gluing orbit property and zero topological entropy is equicontinuous, hence it is topologically conjugate to a minimal rotation. Moreover, we show that a dynamical system with gluing orbit property has zero topological ... More
Minimality and Gluing Orbit PropertyAug 02 2018Aug 21 2018We show that a topological dynamical system is either minimal or have positive topological entropy. Moreover, for equicontinuous systems, we show that topological transitivity, minimality and orbit gluing property are equivalent. These facts reflect the ... More
Exponential Decay of Lebesgue NumbersFeb 02 2010Nov 20 2010We study the exponential rate of decay of Lebesgue numbers of open covers in topological dynamical systems. We show that topological entropy is bounded by this rate multiplied by dimension. Some corollaries and examples are discussed.
Energy Evolution for the Sivers Asymmetries in Hard ProcessesApr 18 2013Aug 12 2013We investigate the energy evolution of the azimuthal spin asymmetries in semi-inclusive hadron production in deep inelastic scattering (SIDIS) and Drell-Yan lepton pair production in pp collisions. The scale dependence is evaluated by applying an approximate ... More
On the unsplittable minimal zero-sum sequences over finite cyclic groups of prime orderSep 06 2014Let $p > 155$ be a prime and let $G$ be a cyclic group of order $p$. Let $S$ be a minimal zero-sum sequence with elements over $G$, i.e., the sum of elements in $S$ is zero, but no proper nontrivial subsequence of $S$ has sum zero. We call $S$ is unsplittable, ... More
TMD Evolution: Matching SIDIS to Drell-Yan and W/Z Boson ProductionAug 22 2013We examine the QCD evolution for the transverse momentum dependent observables in hard processes of semi-inclusive hadron production in deep inelastic scattering and Drell-Yan lepton pair production in $pp$ collisions, including the spin-average cross ... More
Decentralized Detection with Robust Information Privacy ProtectionAug 30 2018Feb 14 2019We consider a decentralized detection network whose aim is to infer a public hypothesis of interest. However, the raw sensor observations also allow the fusion center to infer private hypotheses that we wish to protect. We consider the case where there ... More
On the Relationship Between Inference and Data Privacy in Decentralized IoT NetworksNov 26 2018In a decentralized Internet of Things (IoT) network, a fusion center receives information from multiple sensors to infer a public hypothesis of interest. To prevent the fusion center from abusing the sensor information, each sensor sanitizes its local ... More
On the Relationship Between Inference and Data Privacy in Decentralized IoT NetworksNov 26 2018Apr 01 2019In a decentralized Internet of Things (IoT) network, a fusion center receives information from multiple sensors to infer a public hypothesis of interest. To prevent the fusion center from abusing the sensor information, each sensor sanitizes its local ... More
On the Relationship Between Inference and Data Privacy in Decentralized IoT NetworksNov 26 2018Apr 07 2019In a decentralized Internet of Things (IoT) network, a fusion center receives information from multiple sensors to infer a public hypothesis of interest. To prevent the fusion center from abusing the sensor information, each sensor sanitizes its local ... More
Hydrodynamics with conserved current via AdS/CFT correspondence in the Maxwell-Gauss-Bonnet gravityMar 19 2011Jun 05 2011Using the AdS/CFT correspondence, we study the hydrodynamics with conserved current from the dual Maxwell-Gauss-Bonnet gravity. After constructing the perturbative solution to the first order based on the boosted black brane solution in the bulk Maxwell-Gauss-Bonnet ... More
Gluon Distribution Functions and Higgs Boson Production at Moderate Transverse MomentumSep 07 2011We investigate the gluon distribution functions and their contributions to the Higgs boson production in pp collisions in the transverse momentum dependent factorization formalism. In addition to the usual azimuthal symmetric transverse momentum dependent ... More
Soft Gluon Resummations in Dijet Azimuthal Angular Correlations at the ColliderMay 05 2014We derive all order soft gluon resummation in dijet azimuthal angular correlation in hadronic collisions at the next-to-leading logarithmic level. The relevant coefficients for the Sudakov resummation factor, the soft and hard factors, are calculated. ... More
The role of protection zone on species spreading governed by a reaction-diffusion model with strong Allee effectNov 30 2018It is known that a species dies out in the long run for small initial data if its evolution obeys a reaction of bistable nonlinearity. Such a phenomenon, which is termed as the strong Allee effect, is well supported by numerous evidence from ecosystems, ... More
Transverse Momentum Resummation for $s$-channel single top quark production at the LHCNov 04 2018Feb 15 2019We study the soft gluon radiation effects for the $s$-channel single top quark production at the LHC. By applying the transverse momentum dependent factorization formalism, the large logarithms about the small total transverse momentum ($q_\perp$) of ... More
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class ProblemOct 18 2011Jul 04 2012This paper presents an improvement to model learning when using multi-class LogitBoost for classification. Motivated by the statistical view, LogitBoost can be seen as additive tree regression. Two important factors in this setting are: 1) coupled classifier ... More
Scheme dependence and Transverse Momentum Distribution interpretation of Collins-Soper-Sterman resummationMay 21 2015Following an earlier derivation by Catani-de Florian-Grazzini (2000) on the scheme dependence in the Collins-Soper-Sterman (CSS) resummation formalism in hard scattering processes, we investigate the scheme dependence of the Transverse Momentum Distributions ... More
NLO QCD Corrections to $B_c$-to-Charmonium Form FactorsMar 10 2011Apr 15 2012The $B_c(^1S_0)$ meson to S-wave Charmonia transition form factors are calculated in next-to-leading order(NLO) accuracy of Quantum Chromodynamics(QCD). Our results indicate that the higher order corrections to these form factors are remarkable, and hence ... More
Long Range Correlation in Higgs Boson Plus Two Jets Production at the LHCApr 30 2016We study Higgs boson plus two high energy jets production at the LHC in the kinematics where the two jets are well separated in rapidity. The partonic processes are dominated by the t-channel weak boson fusion (WBF) and gluon fusion (GF) contributions. ... More
Quantum Transport in Topological Semimetals under Magnetic Fields IIDec 25 2018We review our recent works on the quantum transport, mainly in topological semimetals and also in topological insulators, organized according to the strength of the magnetic field. At weak magnetic fields, we explain the negative magnetoresistance in ... More
Quantum Non-Magnetic state near Metal-Insulator Transition - a Possible Candidate of Spin Liquid StateDec 13 2008Oct 09 2009In this paper, based on the formulation of an O(3) non-linear sigma model, we study the two-dimensional Pi-flux Hubbard model at half-filling. A quantum non-magnetic insulator is explored near the metal-insulator transition that may be a possible candidate ... More
Double refraction and spin splitter in a normal-hexagonal semiconductor junctionNov 17 2017In analogy with light refraction at optical boundary, ballistic electrons also undergo refraction when propagate across a semiconductor junction. Establishing a negative refractive index in conventional optical materials is difficult, but the realization ... More
Partitioning Well-Clustered Graphs: Spectral Clustering Works!Nov 07 2014Jan 31 2017In this paper we study variants of the widely used spectral clustering that partitions a graph into k clusters by (1) embedding the vertices of a graph into a low-dimensional space using the bottom eigenvectors of the Laplacian matrix, and (2) grouping ... More
Quantum Transport in Topological Semimetals under Magnetic Fields (II)Dec 25 2018May 04 2019We review our recent works on the quantum transport, mainly in topological semimetals and also in topological insulators, organized according to the strength of the magnetic field. At weak magnetic fields, we explain the negative magnetoresistance in ... More
Kinematical correlations for Higgs boson plus High Pt Jet Production at Hadron CollidersSep 14 2014We investigate the effect of QCD resummation to kinematical correlations in the Higgs boson plus high transverse momentum (Pt) jet events produced at hadron colliders. We show that at the complete one-loop order, the Collins-Soper-Sterman resummation ... More
Deep Reinforcement Learning Based Mode Selection and Resource Management for Green Fog Radio Access NetworksSep 15 2018Fog radio access networks (F-RANs) are seen as potential architectures to support services of internet of things by leveraging edge caching and edge computing. However, current works studying resource management in F-RANs mainly consider a static system ... More
Two-qubit controlled-PHASE Rydberg blockade gate protocol for neutral atoms via off-resonant modulated driving within a single pulseDec 10 2018Neutral atom array serves as an ideal platform to study the quantum logic gates, where intense efforts have been devoted to enhance the two-qubit gate fidelity. We report our recent findings in constructing theoretically a different type of two-qubit ... More
Anomalous Spin Dynamics of Hubbard Model on Honeycomb LatticesNov 16 2009In this paper, the honeycomb Hubbard model in optical lattices is investigated using O(3) non-linear sigma model. A possible quantum non-magnetic insulator in a narrow parameter region is found near the metal-insulator transition. We study the corresponding ... More
Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT ImagesMar 30 2015Recently, a successful pose estimation algorithm, called Cascade Pose Regression (CPR), was proposed in the literature. Trained over Pose Index Feature, CPR is a regressor ensemble that is similar to Boosting. In this paper we show how CPR can be represented ... More
Speeding-up Age Estimation in Intelligent Demographics System via Network OptimizationMay 22 2018Age estimation is a difficult task which requires the automatic detection and interpretation of facial features. Recently, Convolutional Neural Networks (CNNs) have made remarkable improvement on learning age patterns from benchmark datasets. However, ... More
Transverse Momentum Resummation for Dijet Correlation in Hadronic CollisionsJun 19 2015We study the transverse momentum resummation for dijet correlation in hadron collisions based on the Collins-Soper-Sterman formalism. The complete one-loop calculations are carried out in the collinear factorization framework for the differential cross ... More
Heavy Quarkonium Production at Low Pt in NRQCD with Soft Gluon ResummationOct 12 2012Apr 16 2013We extend the non-relativistic QCD (NRQCD) prediction for the production of heavy quarkonium with low transverse momentum in hadronic collisions by taking into account effects from all order soft gluon resummation. Following the Collins-Soper-Sterman ... More
Towards Information Privacy for the Internet of ThingsNov 14 2016Jun 29 2017In an Internet of Things network, multiple sensors send information to a fusion center for it to infer a public hypothesis of interest. However, the same sensor information may be used by the fusion center to make inferences of a private nature that the ... More
CAPRL: Signal Recovery from Compressive Affine Phase Retrieval via LiftingSep 11 2018Sep 20 2018In this paper, we consider compressive/sparse affine phase retrieval proposed in [B. Gao B, Q. Sun, Y. Wang and Z. Xu, Adv. in Appl. Math., 93(2018), 121-141]. By the lift technique, and heuristic nuclear norm for convex relaxation of rank and $\ell$ ... More
Application of gradient descent algorithms based on geodesic distancesApr 05 2019In this paper, the Riemannian gradient algorithm and the natural gradient algorithm are applied to solve descent direction problems on the manifold of positive definite Hermitian matrices, where the geodesic distance is considered as the cost function. ... More
Testing Charmonium Production Mechanism via Polarized $J/ψ$ Pair Production at the LHCMar 05 2009Jun 13 2010At present the color-octet mechanism is still an important and debatable part in the non-relativistic QCD(NRQCD). We find in this work that the polarized double charmonium production at the LHC may pose a stringent test on the charmonium production mechanism. ... More
SCAN+rVV10: A promising van der Waals density functionalOct 19 2015Apr 01 2016The newly developed "strongly constrained and appropriately normed" (SCAN) meta-generalized-gradient approximation (meta-GGA) can generally improve over the non-empirical Perdew-Burke-Ernzerhof (PBE) GGA not only for strong chemical bonding, but also ... More
Zero entropy invariant measures for some skew product diffeomorphismsDec 15 2008In this paper we study some skew product diffeomorphisms with nonuniformly hyperbolic structure along fibers. We show that there is an invariant measure with zero entropy which has atomic conditional measures along fibers.
Entropy and Ergodic Measures for Toral AutomorphismsMar 06 2011We show that for every linear toral automorphism, especially the non-hyperbolic ones, the entropies of ergodic measures form a dense set on the interval from zero to the topological entropy.
Resummation of High Order Corrections in Higgs Boson Plus Jet Production at the LHCFeb 25 2016We study the effect of multiple parton radiation to Higgs boson plus jet production at the LHC, by applying the transverse momentum dependent (TMD) factorization formalism to resum large logarithmic contributions to all orders in the expansion of the ... More
Soft Factor Subtraction and Transverse Momentum Dependent Parton Distributions on LatticeMay 29 2014We study the transverse momentum dependent (TMD) parton distributions in the newly proposed quasi-parton distribution function framework in Euclidean space. A soft factor subtraction is found to be essential to make the TMDs calculable on lattice. We ... More
Probing the Conformations of Single Molecule via Photon Counting StatisticsNov 12 2014We suggest an approach to detect the conformation of single molecule by using the photon counting statistics. The generalized Smoluchoswki equation is employed to describe the dynamical process of conformational change of single molecule. The resonant ... More
Hunting eta_b through radiative decay into J/psiDec 14 2006Jan 25 2007We propose that the radiative decay process, \eta_b\to J/\psi\gamma, may serve as a clean searching mode for \eta_b in hadron collision facilities. By a perturbative QCD calculation, we estimate the corresponding branching ratio to be of order 10^{-7}. ... More
A lightweight forum-based distributed requirement elicitation process for open source communityOct 11 2012Nowadays, lots of open source communities adopt forum to acquire scattered stakeholders' requirements. But the requirements collection process always suffers from the unformatted description and unfocused discussions. In this paper, we establish a framework ... More
Resource Allocation in Cloud Radio Access Networks with Device-to-Device CommunicationsSep 14 2017To alleviate the burdens on the fronthaul and reduce the transmit latency, the device-to-device (D2D) communication is presented in cloud radio access networks (C-RANs). Considering dynamic traffic arrivals and time-varying channel conditions, the resource ... More
Compositional Network EmbeddingApr 17 2019Apr 18 2019Network embedding has proved extremely useful in a variety of network analysis tasks such as node classification, link prediction, and network visualization. Almost all the existing network embedding methods learn to map the node IDs to their corresponding ... More
Improved Exponential Time Lower Bound of Knapsack Problem under BT modelJun 14 2006M.Alekhnovich et al. recently have proposed a model of algorithms, called BT model, which covers Greedy, Backtrack and Simple Dynamic Programming methods and can be further divided into fixed, adaptive and fully adaptive three kinds, and have proved exponential ... More
Driving conditions dependence of magneto-electroluminescence in tri-(8-hydroxyquinoline)-aluminum based organic light emitting diodesJun 17 2011we investigated the magneto-electroluminescence (MEL) in tri-(8-hydroxyquinoline)-aluminum based organic light-emitting diodes (OLEDs) through the steady-state and transient method simultaneously. The MELs show the great different behaviors when we turn ... More
Energy-Efficient Relaying over Multiple Slots with Causal CSIMay 22 2012Nov 29 2012In many communication scenarios, such as in cellular systems, the energy cost is substantial and should be conserved, yet there is a growing need to support many real-time applications that require timely data delivery. To model such a scenario, in this ... More
A data-driven adaptive regularization method and its applicationsJul 17 2018Regularization method and Bayesian inverse method are two dominating ways for solving inverse problems generated from various fields, e.g., seismic exploration and medical imaging. The two methods are related with each other by the MAP estimates of posterior ... More
Modulated Unit-Norm Tight Frames for Compressed SensingNov 27 2014In this paper, we propose a compressed sensing (CS) framework that consists of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a column-wise orthonormal matrix. We prove that this structure satisfies the restricted isometry property ... More
Resummation of High Order Corrections in $Z$ Boson Plus Jet Production at the LHCOct 09 2018Apr 30 2019We study the multiple soft gluon radiation effects in $Z$ boson plus jet production at the LHC. By applying the transverse momentum dependent factorization formalism, the large logarithms introduced by the small total transverse momentum of the $Z$ boson ... More
What Do Deep CNNs Learn About Objects?Apr 09 2015Deep convolutional neural networks learn extremely powerful image representations, yet most of that power is hidden in the millions of deep-layer parameters. What exactly do these parameters represent? Recent work has started to analyse CNN representations, ... More
Learning Deep Object Detectors from 3D ModelsDec 22 2014Oct 12 2015Crowdsourced 3D CAD models are becoming easily accessible online, and can potentially generate an infinite number of training images for almost any object category.We show that augmenting the training data of contemporary Deep Convolutional Neural Net ... More
Application of Machine Learning in Wireless Networks: Key Techniques and Open IssuesSep 24 2018Mar 01 2019As a key technique for enabling artificial intelligence, machine learning (ML) is capable of solving complex problems without explicit programming. Motivated by its successful applications to many practical tasks like image recognition, both industry ... More
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 MinutesFeb 19 2019Mar 16 2019It is important to scale out deep neural network (DNN) training for reducing model training time. The high communication overhead is one of the major performance bottlenecks for distributed DNN training across multiple GPUs. Our investigations have shown ... More
3D spherical-cap fitting procedure for (truncated) sessile nano- and micro-droplets & -bubblesJun 05 2017In the study of nanobubbles, nanodroplets or nanolenses immobilised on a substrate, a cross-section of a spherical-cap is widely applied to extract geometrical information from atomic force microscopy (AFM) topographic images. In this paper, we have developed ... More
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient MethodMay 16 2018Jun 08 2018We propose a novel algorithmic framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-gradient (VMOR-HPE) method with a global convergence guarantee for the maximal monotone operator inclusion problem. Its iteration complexities and local linear ... More
Collective effects of multi-scatterer on coherent propagation of photon in a two dimensional networkDec 22 2012Jul 22 2013We study the collective phenomenon in the scattering of a single-photon by one or two layers of two-level atoms. By modeling the photon dispersion with a two-dimensional (2D) coupled cavity array, we analytically derive the scattering probability of a ... More
Topological Dirac semimetal phases in InSb/$α$-Sn semiconductor superlatticesJul 15 2016We demonstrate theoretically the coexistence of Dirac semimetal and topological insulator phases in InSb/$\alpha$-Sn conventional semiconductor superlattices, based on advanced first-principles calculations combined with low-energy $k\cdot p$ theory. ... More
Universal Non-perturbative Functions for SIDIS and Drell-Yan ProcessesJun 11 2014Mar 20 2015We update the well-known BLNY fit to the low transverse momentum Drell-Yan lepton pair productions in hadronic collisions, by considering the constraints from the semi-inclusive hadron production in deep inelastic scattering (SIDIS) from HERMES and COMPASS ... More
Reciprocal Recommendation System for Online DatingJan 26 2015Jan 27 2015Online dating sites have become popular platforms for people to look for potential romantic partners. Different from traditional user-item recommendations where the goal is to match items (e.g., books, videos, etc) with a user's interests, a recommendation ... More
GraphH: High Performance Big Graph Analytics in Small ClustersMay 16 2017Aug 07 2017It is common for real-world applications to analyze big graphs using distributed graph processing systems. Popular in-memory systems require an enormous amount of resources to handle big graphs. While several out-of-core approaches have been proposed ... More
Rebuilding of destroyed spin squeezing in noisy environmentsNov 07 2017We investigate the process of spin squeezing in a ferromagnetic dipolar spin-1 Bose-Einstein condensate under the driven oneaxis twisting scheme, with emphasis on the detrimental effect of noisy environments (stray magnetic fields) which completely destroy ... More
Efficient generation of many-body singlet states of spin-1 bosons in optical superlatticesJun 06 2017We propose an efficient stepwise adiabatic merging (SAM) method to generate many-body singlet states in antiferromagnetic spin-1 bosons in concatenated optical superlattices with isolated double-well arrays, by adiabatically ramping up the double-well ... More
Quantum transport through three-dimensional topological insulator p-n junction under magnetic fieldAug 23 2018The 3D topological insulator (TI) PN junction under magnetic fields presents a novel transport property which is investigated both theoretically and numerically in this paper. Transport in this device can be tuned by the axial magnetic field. Specifically, ... More
SFCSD: A Self-Feedback Correction System for DNS Based on Active and Passive MeasurementApr 21 2017Domain Name System (DNS), one of the important infrastructure in the Internet, was vulnerable to attacks, for the DNS designer didn't take security issues into consideration at the beginning. The defects of DNS may lead to users' failure of access to ... More
Uniform Recovery Bounds for Structured Random Matrices in Corrupted Compressed SensingJun 28 2017Feb 07 2018We study the problem of recovering an $s$-sparse signal $\mathbf{x}^{\star}\in\mathbb{C}^n$ from corrupted measurements $\mathbf{y} = \mathbf{A}\mathbf{x}^{\star}+\mathbf{z}^{\star}+\mathbf{w}$, where $\mathbf{z}^{\star}\in\mathbb{C}^m$ is a $k$-sparse ... More
Resummation of High Order Corrections in $Z$ Boson Plus Jet Production at the LHCOct 09 2018We study the multiple soft gluon radiation effects in $Z$ boson plus jet production at the LHC. By applying the transverse momentum dependent factorization formalism, the large logarithms introduced by the small total transverse momentum of the $Z$ boson ... More
Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and ExperimentsFeb 19 2017Mar 26 2017A crucial function for automated vehicle technologies is accurate localization. Lane-level accuracy is not readily available from low-cost Global Navigation Satellite System (GNSS) receivers because of factors such as multipath error and atmospheric bias. ... More
Mobile Formation Coordination and Tracking Control for Multiple Non-holonomic VehiclesFeb 28 2019This paper addresses forward motion control for trajectory tracking and mobile formation coordination for a group of non-holonomic vehicles on SE(2). Firstly, by constructing an intermediate attitude variable which involves vehicles' position information ... More
Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCsJul 06 2018Dec 09 2018We propose a fast and near-optimal approach to joint channel-estimation, equalization, and decoding of coded single-carrier (SC) transmissions over frequency-selective channels with few-bit analog-to-digital converters (ADCs). Our approach leverages parametric ... More
ExFuse: Enhancing Feature Fusion for Semantic SegmentationApr 11 2018Modern semantic segmentation frameworks usually combine low-level and high-level features from pre-trained backbone convolutional models to boost performance. In this paper, we first point out that a simple fusion of low-level and high-level features ... More
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation LearningJul 09 2017For safe and efficient planning and control in autonomous driving, we need a driving policy which can achieve desirable driving quality in long-term horizon with guaranteed safety and feasibility. Optimization-based approaches, such as Model Predictive ... More
Cross-Layer Adaptive Feedback Scheduling of Wireless Control SystemsSep 29 2008There is a trend towards using wireless technologies in networked control systems. However, the adverse properties of the radio channels make it difficult to design and implement control systems in wireless environments. To attack the uncertainty in available ... More
MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data CentersNov 05 2016Nov 10 2016In large-scale distributed file systems, efficient meta- data operations are critical since most file operations have to interact with metadata servers first. In existing distributed hash table (DHT) based metadata management systems, the lookup service ... More
Security of a new two-way continuous-variable quantum key distribution protocolOct 09 2011Aug 27 2012The original two-way continuous-variable quantum-key-distribution (CV QKD) protocols [S. Pirandola, S. Mancini, S. Lloyd, and S. L. Braunstein, Nature Physics 4, 726 (2008)] give the security against the collective attack on the condition of the tomography ... More
On Lower Bound of Worst Case Error Probability for Quantum Fingerprinting with Shared EntanglementJun 14 2006This paper discusses properties of quantum fingerprinting with shared entanglement. Under certain restriction of final measurement, a relation is given between unitary operations of two parties. Then, by reducing to spherical coding problem, this paper ... More
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional NetworkMar 08 2017One of recent trends [30, 31, 14] in network architec- ture design is stacking small filters (e.g., 1x1 or 3x3) in the entire network because the stacked small filters is more ef- ficient than a large kernel, given the same computational complexity. However, ... More
$B_c$ Exclusive Decays to Charmonium and a Light Meson at Next-to-Leading Order AccuracySep 26 2012Dec 02 2013In this paper the next-to-leading order (NLO) corrections to $B_c$ meson exclusive decays to S-wave charmonia and light pseudoscalar or vector mesons, i.e. $\pi$, $K$, $\rho$, and $K^*$, are performed within non-relativistic (NR) QCD approach. The non-factorizable ... More
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity MachineOct 09 2018Feb 18 2019Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph processing systems and computation models have been proposed, the high ... More
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single MachineJul 09 2017Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph processing systems and computation models have been proposed, the high ... More
Asset Allocation under the Basel Accord Risk MeasuresAug 06 2013Financial institutions are currently required to meet more stringent capital requirements than they were before the recent financial crisis; in particular, the capital requirement for a large bank's trading book under the Basel 2.5 Accord more than doubles ... More
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned ApproachApr 22 2017Many cluster management systems (CMSs) have been proposed to share a single cluster with multiple distributed computing systems. However, none of the existing approaches can handle distributed machine learning (ML) workloads given the following criteria: ... More
A Chunk Caching Location and Searching Scheme in Content Centric NetworkingJan 10 2017Content Centric Networking (CCN) is a new network infrastructure around content dissemination and retrieval, shift from host addresses to named data. Each CCN router has a cache to store the chunks passed by it. Therefore the caching strategy about chunk ... More
StaQC: A Systematically Mined Question-Code Dataset from Stack OverflowMar 26 2018Stack Overflow (SO) has been a great source of natural language questions and their code solutions (i.e., question-code pairs), which are critical for many tasks including code retrieval and annotation. In most existing research, question-code pairs were ... More
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing ImagesMar 07 2019Robust semantic segmentation of VHR remote sensing images from UAV sensors is critical for earth observation, land use, land cover or mapping applications. Several factors such as shadows, weather disruption and camera shakes making this problem highly ... More
Hybrid Quantum-Classical Approach to Quantum Optimal ControlAug 02 2016Jan 19 2017A central challenge in quantum computing is to identify more computational problems for which utilization of quantum resources can offer significant speedup. Here, we propose a hybrid quantum-classical scheme to tackle the quantum optimal control problem. ... More
Constrained Maximum Correntropy Adaptive FilteringOct 06 2016Dec 14 2016Constrained adaptive filtering algorithms inculding constrained least mean square (CLMS), constrained affine projection (CAP) and constrained recursive least squares (CRLS) have been extensively studied in many applications. Most existing constrained ... More
The Quasi-normal Modes of Charged Scalar Fields in Kerr-Newman black hole and Its Geometric InterpretationJun 27 2015Nov 01 2015It is well-known that there is a geometric correspondence between high-frequency quasi-normal modes (QNMs) and null geodesics (spherical photon orbits). In this paper, we generalize such correspondence to charged scalar field in Kerr-Newman space-time. ... More
Compositional Network EmbeddingApr 17 2019Network embedding has proved extremely useful in a variety of network analysis tasks such as node classification, link prediction, and network visualization. Almost all the existing network embedding methods learn to map the node IDs to their corresponding ... More
Domain Agnostic Learning with Disentangled RepresentationsApr 28 2019Unsupervised model transfer has the potential to greatly improve the generalizability of deep models to novel domains. Yet the current literature assumes that the separation of target data into distinct domains is known as a priori. In this paper, we ... More
FPGA-based Acceleration System for Visual TrackingOct 12 2018Oct 15 2018Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-time performance when applied in the real scenario. In order to improve the ... More