Results for "Di Chen"

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Minmax Tree Facility Location and Sink Evacuation with Dynamic Confluent FlowsJul 27 2016Let $G=(V,E)$ be a graph modelling a building or road network in which edges have-both travel times (lengths) and capacities associated with them. An edge's capacity is the number of people that can enter that edge in a unit of time. In emergencies, people ... More
Relative Error Embeddings for the Gaussian Kernel DistanceFeb 17 2016Sep 20 2016A reproducing kernel can define an embedding of a data point into an infinite dimensional reproducing kernel Hilbert space (RKHS). The norm in this space describes a distance, which we call the kernel distance. The random Fourier features (of Rahimi and ... More
Bias Reduction via End-to-End Shift Learning: Application to Citizen ScienceNov 01 2018Nov 14 2018Citizen science projects are successful at gathering rich datasets for various applications. However, the data collected by citizen scientists are often biased --- in particular, aligned more with the citizens' preferences than with scientific objectives. ... More
Symmetric drainage flow of a compressible fluid from a fracture: analytical solution and slip-like flow rateApr 21 2018Symmetric drainage flow of a compressible fluid from a fracture modeled as a long narrow channel is studied on the basis of linearized compressible Navier-Stokes equations with no-slip condition. The Helmholtz decomposition theorem is used to decompose ... More
Stability of Gorenstein flat categories with respect to a semidualizing moduleOct 29 2012In this paper, we first introduce $\mathcal {W}_F$-Gorenstein modules to establish the following Foxby equivalence: $\xymatrix@C=80pt{\mathcal {G}(\mathcal {F})\cap \mathcal {A}_C(R) \ar@<0.5ex>[r]^{C\otimes_R-} & \mathcal {G}(\mathcal {W}_F) \ar@<0.5ex>[l]^{\textrm{Hom}_R(C,-)}} ... More
Closed-form solution for the edge vortex of a revolving plateDec 21 2016Oct 11 2018Flapping and revolving wings can produce attached leading edge vortices (LEVs) when the angle of attack is large. In this work, a low order model is proposed for the edge vortices that develop on a revolving plate at 90 degrees angle of attack which is ... More
Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case StudyFeb 27 2017Mar 01 2017Due to the difficulties in replicating and scaling up qualitative studies, such studies are rarely verified. Accordingly, in this paper, we leverage the advantages of crowdsourcing (low costs, fast speed, scalable workforce) to replicate and scale-up ... More
Tunable pulse delay and advancement in a coupled nanomechanical resonator-superconducting microwave cavity systemDec 16 2010We theoretically study the transmission of a weak probe field under the influence of a strong pump field in a coupled nanomechanical resonator-superconducting microwave cavity system. Using the standard input-output theory, we find that both pulse delay ... More
Effect of electron-phonon scattering on shot noise in nanoscale junctionsApr 30 2005May 05 2005We investigate the effect of electron-phonon inelastic scattering on shot noise in nanoscale junctions in the regime of quasi-ballistic transport. We predict that when the local temperature of the junction is larger than its lowest vibrational mode energy ... More
Shot Noise in Nanoscale Conductors From First PrinciplesAug 04 2002Mar 02 2005We describe a field-theoretic approach to calculate quantum shot noise in nanoscale conductors from first principles. Our starting point is the second-quantization field operator to calculate shot noise in terms of single quasi-particle wavefunctions ... More
Is nucleon spin structure inconsistent with constituent quark model?Feb 26 1998A qualitative QCD analysis and a quantitative model calculation are given to show that the constituent quark model remains a good approximation even with the nucleon spin structure revealed in polarized deep inelastic scattering taking into account.
Classical Trajectory Perspective on Double Ionization Dynamics of Diatomic Molecules Irradiated by Ultrashort Intense Laser PulsesAug 16 2007In the present paper, we develop a semiclassical quasi-static model accounting for molecular double ionization in an intense laser pulse. With this model, we achieve insight into the dynamics of two highly-correlated valence electrons under the combined ... More
Electron Tunneling in Monolayer and Bilayer GrapheneAug 22 2008Electron's tunneling through potential barrier in monolayer and bilayer graphene lattices is investigated by using full tight-binding model. Emphasis is placed on the resonance tunneling feature and inter-valley scattering probability. It is shown that ... More
How does baryon magnetic moment relate to its spin structureFeb 18 1998Sep 03 1998A model independent, field theoretical relation between baryon magnetic moment and its spin structure is derived and it is explained why constituent quark model is a good approximation in describing baryon magnetic moments.
Backhaul Traffic Balancing and Dynamic Content-Centric Clustering for the Downlink of Fog Radio Access NetworkFeb 17 2016Feb 22 2016Recently, an evolution of the Cloud Radio Access Network (C-RAN) has been proposed, named as Fog Radio Access Network (F-RAN). Compared to C-RAN, the Radio Units (RUs) in F-CAN are equipped with local caches, which can store some frequently requested ... More
CHAOS: Accurate and Realtime Detection of Aging-Oriented Failure Using EntropyFeb 03 2015Even well-designed software systems suffer from chronic performance degradation, also named "software aging", due to internal (e.g. software bugs) and external (e.g. resource exhaustion) impairments. These chronic problems often fly under the radar of ... More
End-to-End Learning for the Deep Multivariate Probit ModelMar 22 2018Jul 13 2018The multivariate probit model (MVP) is a popular classic model for studying binary responses of multiple entities. Nevertheless, the computational challenge of learning the MVP model, given that its likelihood involves integrating over a multidimensional ... More
Outage Probability of Dual-Hop Selective AF With Randomly Distributed and Fixed InterferersOct 04 2014The outage probability performance of a dual-hop amplify-and-forward selective relaying system with global relay selection is analyzed for Nakagami-$m$ fading channels in the presence of multiple interferers at both the relays and the destination. Two ... More
Spin content of the nucleon in a valence and sea quark mixing modelDec 19 1997A dynamical valence and sea quark mixing model is shown to fit the baryon ground state properties as well as the spin content of the nucleon. The relativistic correction and the $q^3{\leftrightarrow} q^3q\bar{q}$ transition terms induced by the quark ... More
Replication Can Improve Prior Results: A GitHub Study of Pull Request AcceptanceFeb 09 2019Crowdsourcing and data mining can be used to effectively reduce the effort associated with the partial replication and enhancement of qualitative studies. For example, in a primary study, other researchers explored factors influencing the fate of GitHub ... More
Ultrasensitive Detection of Majorana Fermions via Spin-based Optomechanics with Carbon NanotubesJun 18 2013We propose a novel optical method to detect the existence of Majorana fermions at the ends of the semiconductor nanowire via the coupling to an electron spin trapped on a carbon nanotube resonator under the control of a strong pump field and a weak probe ... More
A Selection Region Based Routing Protocol for Random Mobile ad hoc Networks with Directional AntennasNov 28 2010In this paper, we propose a selection region based multihop routing protocol with directional antennas for wireless mobile ad hoc networks, where the selection region is defined by two parameters: a reference distance and the beamwidth of the directional ... More
AV1 Video Coding Using Texture Analysis With Convolutional Neural NetworksApr 24 2018Modern video codecs including the newly developed AOM/AV1 utilize hybrid coding techniques to remove spatial and temporal redundancy. However, efficient exploitation of statistical dependencies measured by a mean squared error (MSE) does not always produce ... More
Deep Multi-Species EmbeddingSep 28 2016Nov 29 2016Understanding how species are distributed across landscapes over time is a fundamental question in biodiversity research. Unfortunately, most species distribution models only target a single species at a time, despite the fact that there is strong evidence ... More
Familia: An Open-Source Toolkit for Industrial Topic ModelingJul 31 2017Familia is an open-source toolkit for pragmatic topic modeling in industry. Familia abstracts the utilities of topic modeling in industry as two paradigms: semantic representation and semantic matching. Efficient implementations of the two paradigms are ... More
Modeling and Analysis of MPTCP Proxy-based LTE-WLAN Path AggregationMay 08 2018Long Term Evolution (LTE)-Wireless Local Area Network (WLAN) Path Aggregation (LWPA) based on Multi-path Transmission Control Protocol (MPTCP) has been under standardization procedure as a promising and cost-efficient solution to boost Downlink (DL) data ... More
Deep Multi-Species EmbeddingSep 28 2016Understanding how species are distributed across landscapes over time is a fundamental question in biodiversity research. Unfortunately, most species distribution models only target a single species at a time, despite the fact that there is strong evidence ... More
Deep Multi-Species EmbeddingSep 28 2016Feb 21 2017Understanding how species are distributed across landscapes over time is a fundamental question in biodiversity research. Unfortunately, most species distribution models only target a single species at a time, despite strong ecological evidence that species ... More
A Finite Exact Representation of Register Automata ConfigurationsFeb 27 2014A register automaton is a finite automaton with finitely many registers ranging from an infinite alphabet. Since the valuations of registers are infinite, there are infinitely many configurations. We describe a technique to classify infinite register ... More
Coarse-grained periodic orbits and bifurcations in a Markov chain model for evolution of labor divisionJul 24 2004We construct a Markov process model to describe the evolution of labor division and its dynamical behavior is investigated by numerical simulations in detail. We have shown that under the mechanism of increasing returns, the division of labor will emerge ... More
Study on space-time structure of Higgs boson decay using HBT correlation Method in e$^+$e$^-$ collision at $\sqrt{s}$=250 GeVMay 17 2017The space-time structure of the Higgs boson decay are carefully studied with the HBT correlation method using e$^+$e$^-$ collision events produced through Monte Carlo generator PYTHIA 8.2 at $\sqrt{s}$=250GeV. The Higgs boson jets (Higgs-jets) are identified ... More
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence ImagesNov 26 2017In this paper, we develop a novel convolutional neural network based approach to extract and aggregate useful information from gait silhouette sequence images instead of simply representing the gait process by averaging silhouette images. The network ... More
Flexible Metasurface HologramsNov 29 2016Metasurface holograms are typically fabricated on rigid substrates. Here we experimentally demonstrate broadband, flexible, conformable, helicity multiplexed metasurface holograms operating in the visible range, offering increased potential for real life ... More
Bio-inspired Mechanism and Model Exploration of Software AgingAug 27 2014Software systems situated in network environment may experience performance degradation, availability decrease and even crash during long time running, which is called software aging. This phenomenon has been studied for more than 15 years, but most of ... More
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoderSep 17 2017Multi-Entity Dependence Learning (MEDL) explores conditional correlations among multiple entities. The availability of rich contextual information requires a nimble learning scheme that tightly integrates with deep neural networks and has the ability ... More
Z-checker: A Framework for Assessing Lossy Compression of Scientific DataJun 12 2017Nov 10 2017Because of vast volume of data being produced by today's scientific simulations and experiments, lossy data compressor allowing user-controlled loss of accuracy during the compression is a relevant solution for significantly reducing the data size. However, ... More
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image ClassificationMar 13 2019Shift operation is an efficient alternative over depthwise separable convolution. However, it is still bottlenecked by its implementation manner, namely memory movement. To put this direction forward, a new and novel basic component named Sparse Shift ... More
A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field GamesMar 14 2019A transportation system with fully autonomous vehicles can be modeled as a multi-agent system, where autonomous vehicles interact with one another through coupled optimal driving strategies. However, the existing literature on autonomous vehicle longitudinal ... More
Multi-Reference Video Coding Using Stillness DetectionMar 11 2018Encoders of AOM/AV1 codec consider an input video sequence as succession of frames grouped in Golden-Frame (GF) groups. The coding structure of a GF group is fixed with a given GF group size. In the current AOM/AV1 encoder, video frames are coded using ... More
Colossal electroresistance in metal/ferroelectric/semiconductor tunnel diodes for resistive switching memoriesAug 27 2012We propose a tunneling heterostructure by replacing one of the metal electrodes in a metal/ferroelectric/metal ferroelectric tunnel junction with a heavily doped semiconductor. In this metal/ferroelectric/semiconductor tunnel diode, both the height and ... More
Mixed Eigenvalues of Discrete {\LARGE $\pmb p$\,}-LaplacianNov 22 2014This paper deals with the principal eigenvalue of discrete $p$-Laplacian on the set of nonnegative integers. Alternatively, it is studying the optimal constant of a class of weighted Hardy inequalities. The main goal is the quantitative estimates of the ... More
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFPJun 23 2018Jan 05 2019With ever-increasing volumes of scientific data produced by HPC applications, significantly reducing data size is critical because of limited capacity of storage space and potential bottlenecks on I/O or networks in writing/reading or transferring data. ... More
Fixed-PSNR Lossy Compression for Scientific DataMay 17 2018Jul 13 2018Error-controlled lossy compression has been studied for years because of extremely large volumes of data being produced by today's scientific simulations. None of existing lossy compressors, however, allow users to fix the peak signal-to-noise ratio (PSNR) ... More
Relative Derived Category with respect to a SubcategoryOct 14 2014The notion of relative derived category with respect to a subcategory is introduced. A triangle-equivalence, which extends a theorem of Gao and Zhang [Gorenstein derived categories, \emph{J. Algebra} \textbf{323} (2010) 2041-2057] to the bounded below ... More
Person Search via A Mask-Guided Two-Stream CNN ModelJul 21 2018In this work, we tackle the problem of person search, which is a challenging task consisted of pedestrian detection and person re-identification~(re-ID). Instead of sharing representations in a single joint model, we find that separating detector and ... More
Mixed Eigenvalues of {\LARGE $\pmb p$\,}-LaplacianJan 14 2015The mixed principal eigenvalue of $p\,$-Laplacian (equivalently, the optimal constant of weighted Hardy inequality in $L^p$ space) is studied in this paper. Several variational formulas for the eigenvalue are presented. As applications of the formulas, ... More
Are current-induced forces conservative?Jul 30 2003The expression for the force on an ion in the presence of current can be derived from first principles without any assumption about its conservative character. However, energy functionals have been constructed that indicate that this force can be written ... More
Shot noise in parallel wiresFeb 05 2004Feb 19 2004We report first-principles calculations of shot noise properties of parallel carbon wires in the regime in which the interwire distance is much smaller than the inelastic mean free path. We find that, with increasing interwire distance, the current approaches ... More
CO Oxidation Facilitated by Robust Surface States on Au-Covered Topological InsulatorsApr 08 2011Surface states refer to electronic states emerging as a solid material terminates at a surface, and can be present in many systems. Despite their spatial proximity to material surfaces, surface states have been largely overlooked in fundamental understanding ... More
Accumulate Then Transmit: Multi-user Scheduling in Full-Duplex Wireless-Powered IoT SystemsMar 06 2018This paper develops and evaluates an accumulate-then-transmit framework for multi-user scheduling in a full-duplex (FD) wireless-powered Internet-of-Things system, consisting of multiple energy harvesting (EH) IoT devices (IoDs) and one FD hybrid access ... More
Sub-optimality of Treating Interference as Noise in the Cellular Uplink with Weak InterferenceJan 31 2014Apr 20 2015Despite the simplicity of the scheme of treating interference as noise (TIN), it was shown to be sum-capacity optimal in the Gaussian interference channel (IC) with very-weak (noisy) interference. In this paper, the 2-user IC is altered by introducing ... More
Sharp Inequalities between Harmonic, Seiffert, Quadratic and Contraharmonic MeansOct 15 2012In this paper, we present the greatest values $\alpha$, $\lambda$ and $p$, and the least values $\beta$, $\mu$ and $q$ such that the double inequalities $\alpha D(a,b)+(1-\alpha)H(a,b)<T(a,b)<\beta D(a,b)+(1-\beta) H(a,b)$, $\lambda D(a,b)+(1-\lambda)H(a,b)<C(a,b)<\mu ... More
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body SimulationsNov 10 2017In situ lossy compression allowing user-controlled data loss can significantly reduce the I/O burden. For large-scale N-body simulations where only one snapshot can be compressed at a time, the lossy compression ratio is very limited because of the fairly ... More
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data SetsJun 17 2017Aug 06 2017Because of the vast volume of data being produced by today's scientific simulations, lossy compression allowing user-controlled information loss can significantly reduce the data size and the I/O burden. However, for large-scale cosmology simulation, ... More
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled QuantizationJun 12 2017Today's HPC applications are producing extremely large amounts of data, such that data storage and analysis are becoming more challenging for scientific research. In this work, we design a new error-controlled lossy compression algorithm for large-scale ... More
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored SearchJun 03 2014Jun 04 2014Sponsored search is an important monetization channel for search engines, in which an auction mechanism is used to select the ads shown to users and determine the prices charged from advertisers. There have been several pieces of work in the literature ... More
Building Better Quality Predictors Using "$ε$-Dominance"Mar 13 2018Despite extensive research, many methods in software quality prediction still exhibit some degree of uncertainty in their results. Rather than treating this as a problem, this paper asks if this uncertainty is a resource that can simplify software quality ... More
Inelastic effects on the transport properties of alkanethiolsDec 19 2004Using first-principles approaches we investigate local heating and the inelastic contribution to the current for various alkanethiols sandwiched between metal electrodes. In the absence of good heat dissipation into the bulk electrodes, we find that the ... More
Pinning-controllability of complex networksJan 04 2007Jan 30 2007We study the problem of controlling a general complex network towards an assigned synchronous evolution, by means of a pinning control strategy. We define the pinning-controllability of the network in terms of the spectral properties of an extended network ... More
Emergence of Specialization from Global Optimizing Evolution in a Multi-Agent SystemJul 02 2004The evolution of specialization in a multi-agent system is studied both by computer simulation and Markov process model. Many individual agents search for and exploit resources to get global optimization in an environment without complete information. ... More
Channel Matrix Sparsity with Imperfect Channel State Information in Cloud-Radio Access NetworksSep 25 2017Channel matrix sparsification is considered as a promising approach to reduce the progressing complexity in large-scale cloud-radio access networks (C-RANs) based on ideal channel condition assumption. In this paper, the research of channel sparsification ... More
Dendritic cell-cluster metasurface manipulation of visible lightDec 02 2016The manipulation of visible light is important in science and technology research. Metasurfaces can enable flexible and effective regulation of the phase, polarization, and propagation modes of an electromagnetic wave. Metasurfaces have become a research ... More
Inelastic current-voltage characteristics of atomic and molecular junctionsFeb 20 2004Mar 08 2005We report first-principles calculations of the inelastic current-voltage (I-V) characteristics of a gold point contact and a molecular junction in the nonresonant regime. Discontinuities in the I-V curves appear in correspondence to the normal modes of ... More
Theory of local heating in nanoscale conductorsFeb 20 2003Mar 02 2005We report first-principles calculations of local heating in nanoscale junctions formed by a single molecule and a gold point contact. Due to a larger heat dissipation, the single molecule heats up less than the gold point contact. We also find, at zero ... More
Applications of Psychological Science for Actionable AnalyticsMar 13 2018Actionable analytics are those that humans can understand, and operationalize. What kind of data mining models generate such actionable analytics? According to psychological scientists, humans understand models that most match their own internal models, ... More
Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge ComputingMar 30 2017In this article we propose a novel Device-to-Device (D2D) Crowd framework for 5G mobile edge computing, where a massive crowd of devices at the network edge leverage the network-assisted D2D collaboration for computation and communication resource sharing ... More
A Selection Region Based Routing Protocol for Random Mobile ad hoc NetworksJul 19 2010We propose a selection region based multi-hop routing protocol for random mobile ad hoc networks, where the selection region is defined by two parameters: a reference distance and a selection angle. At each hop, a relay is chosen as the nearest node to ... More
Improving Performance of Iterative Methods by Lossy CheckpontingApr 30 2018May 29 2018Iterative methods are commonly used approaches to solve large, sparse linear systems, which are fundamental operations for many modern scientific simulations. When the large-scale iterative methods are running with a large number of ranks in parallel, ... More
Enhanced noise at high bias in atomic-scale Au break junctionsJun 27 2013Mar 03 2014Heating in nanoscale systems driven out of equilibrium is of fundamental importance, has ramifications for technological applications, and is a challenge to characterize experimentally. Prior experiments using nanoscale junctions have largely focused ... More
Water abundance in four of the brightest water sources in the southern skyApr 27 2017We estimated the ortho-{\rm{H$_2$O}} abundances of G267.9--1.1, G268.4--0.9, G333.1--0.4 and G336.5--1.5, four of the brightest ortho-{\rm{H$_2$O}} sources in the southern sky observed by the Submillimeter Wave Astronomy Satellite (ortho-{\rm{H$_2$O}} ... More
How to "DODGE" Complex Software Analytics?Feb 05 2019AI software is still software. Software engineers need better tools to make better use of AI software. For example, for software defect prediction and software text mining, the default tunings for software analytics tools can be improved with "hyperparameter ... More
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight NetworksDec 17 2018Neuron pruning is an efficient method to compress the network into a slimmer one for reducing the computational cost and storage overhead. Most of state-of-the-art results are obtained in a layer-by-layer optimization mode. It discards the unimportant ... More
Variability of OI 090.4Oct 25 2013OI 090.4 was monitored on 21 nights from 2006 to 2012 for studying the variability. Strong variations occurred during the past 6 years. The long-term variability amplitude is consistent with previous results. Microvariability was analyzed for 43 intra-night ... More
Spread spectrum compressed sensing MRI using chirp radio frequency pulsesJan 23 2013Compressed sensing has shown great potential in reducing data acquisition time in magnetic resonance imaging (MRI). Recently, a spread spectrum compressed sensing MRI method modulates an image with a quadratic phase. It performs better than the conventional ... More
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display AdvertisingSep 10 2018In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. Despite the increasing popularity of RTB, there is still half of online display advertising revenue generated from ... More
Birational boundedness of rationally connected Calabi-Yau 3-foldsApr 24 2018We prove that rationally connected Calabi-Yau $3$-folds with kawamata log terminal (klt) singularities form a birationally bounded family, or more generally, rationally connected $3$-folds of $\epsilon$-CY type form a birationally bounded family for $\epsilon>0$. ... More
An extended hybrid magnetohydrodynamics gyrokinetic model for numerical simulation of shear Alfvén waves in burning plasmasDec 24 2010Adopting the theoretical framework for the generalized fishbonelike dispersion relation, an extended hybrid magnetohydrodynamics gyrokinetic simulation model has been derived analytically by taking into account both thermal ion compressibility and diamagnetic ... More
Rapid building detection using machine learningMar 14 2016This work describes algorithms for performing discrete object detection, specifically in the case of buildings, where usually only low quality RGB-only geospatial reflective imagery is available. We utilize new candidate search and feature extraction ... More
Universal Predictability of Mobility Patterns in CitiesJul 29 2013Aug 25 2014Despite the long history of modelling human mobility, we continue to lack a highly accurate approach with low data requirements for predicting mobility patterns in cities. Here, we present a population-weighted opportunities model without any adjustable ... More
Many-body multi-valuedness of particle-current variance in closed and open cold-atom systemsMay 16 2018The quantum variance of an observable is a fundamental quantity in quantum mechanics, and the variance provides additional information other than the average itself. By examining the relation between the particle-current variance $(\delta J)^2$ and the ... More
Generalized Second Price Auction with Probabilistic Broad MatchApr 15 2014Generalized Second Price (GSP) auctions are widely used by search engines today to sell their ad slots. Most search engines have supported broad match between queries and bid keywords when executing GSP auctions, however, it has been revealed that GSP ... More
A New Comparative Definition of Community and Corresponding Identifying AlgorithmFeb 02 2008In this paper, a new comparative definition for community in networks is proposed and the corresponding detecting algorithm is given. A community is defined as a set of nodes, which satisfy that each node's degree inside the community should not be smaller ... More
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep LearningApr 09 2019May 14 2019Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept of application of deep learning and neural network for high-quality, reliable, ... More
Manipulating Anomalous Hall Antiferromagnets with Magnetic FieldsFeb 08 2018May 14 2019The symmetry considerations that imply a non-zero anomalous Hall effect (AHE) in certain non-collinear antiferromagnets also imply both non-zero orbital magnetization and a net spin magnetization. We have explicitly evaluated the orbital magnetizations ... More
Acoustic Landmarks Contain More Information About the Phone String than Other Frames for Automatic Speech Recognition with Deep Neural Network Acoustic ModelOct 27 2017Mar 21 2018Most mainstream Automatic Speech Recognition (ASR) systems consider all feature frames equally important. However, acoustic landmark theory is based on a contradictory idea, that some frames are more important than others. Acoustic landmark theory exploits ... More
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI ReconstructionMar 10 2015Nov 20 2015Objective: Improve the reconstructed image with fast and multi-class dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data. Methods: A fast orthogonal dictionary learning method is introduced into magnetic ... More
Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance ImagingApr 29 2015Oct 03 2015Compressed sensing has shown great potentials in accelerating magnetic resonance imaging. Fast image reconstruction and high image quality are two main issues faced by this new technology. It has been shown that, redundant image representations, e.g. ... More
Nematic Metal and Antiferromagnetic Insulator on Hexagonal Kagome LatticeOct 09 2013Dec 01 2013Hexagonal Kagome lattice is a multiband system with a quadratic band crossing point, in contrast with honeycomb lattice with linear band crossing point, which has exotic correlated effect and can produce various novel quantum states. Here we investigate ... More
Robust Majorana signature detection with a coupled quantum dot-nanomechanical resonator in all-optical domainOct 29 2015Motivated by a recent experiment [Nadj-Perge et al., Science 346, 602 (2014)] providing evidence for Majorana zero modes in iron chains on the superconducting Pb surface, in the present work, we theoretically propose an all-optical scheme to detect Majorana ... More
Role of heating and current-induced forces in the stability of atomic wiresSep 30 2004We investigate the role of local heating and forces on ions in the stability of current-carrying aluminum wires. We find that heating increases with wire length due to a red shift of the frequency spectrum. Nevertheless, the local temperature of the wire ... More
On Optimal Link Activation with Interference Cancellation in Wireless NetworkingDec 06 2011Mar 18 2012A fundamental aspect in performance engineering of wireless networks is optimizing the set of links that can be concurrently activated to meet given signal-to-interference-and-noise ratio (SINR) thresholds. The solution of this combinatorial problem is ... More
Semiclassical Theory of Linear Magnetoresistance in Crystalline Conductors with Broken Time-Reversal SymmetryNov 09 2015Onsager relations permit linear response of the resistivity to an external magnetic field only when time reversal symmetry is broken. By employing semiclassical Boltzmann transport theory generalized to account for anomalous velocities and orbital and ... More
Tunable current circulation in triangular quantum-dot metastructuresFeb 06 2018Mar 29 2018Advances in fabrication and control of quantum dots allow the realization of metastructures that may exhibit novel electrical transport phenomena. Here, we investigate the electrical current passing through one such metastructure, a system composed of ... More
Phase Transitions and the Perfectness of FluidsSep 21 2007Oct 11 2008We calculate the ratio eta/s, the shear viscosity (eta) to entropy density (s), which characterizes how perfect a fluid is, in weakly coupled real scalar field theories with different types of phase transitions. The mean-field results of the eta/s behaviors ... More
Budget Constrained Bidding by Model-free Reinforcement Learning in Display AdvertisingFeb 23 2018Oct 23 2018Real-time bidding (RTB) is an important mechanism in online display advertising, where a proper bid for each page view plays an essential role for good marketing results. Budget constrained bidding is a typical scenario in RTB where the advertisers hope ... More
Towards Binary-Valued Gates for Robust LSTM TrainingJun 08 2018Long Short-Term Memory (LSTM) is one of the most widely used recurrent structures in sequence modeling. It aims to use gates to control information flow (e.g., whether to skip some information or not) in the recurrent computations, although its practical ... More
Manipulating Anomalous Hall Antiferromagnets with Magnetic FieldsFeb 08 2018The symmetry considerations that imply a non-zero anomalous Hall effect (AHE) in certain non-collinear antiferromagnets also imply both non-zero orbital magnetization and a net spin magnetization. We have explicitly evaluated the orbital magnetizations ... More
Tunable current circulation in triangular quantum-dot metastructuresFeb 06 2018Advances in fabrication and control of quantum dots allow the realization of metastructures that may exhibit novel electrical transport phenomena. Here, we investigate the electrical current passing through one such metastructure, a system composed of ... More
Properties of light (anti)nuclei and (anti) hypertriton production in Pb-Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 2.76 TeVSep 22 2015Nov 05 2015We investigate the properties of light (anti)nuclei and (anti)hypertriton production in Pb-Pb collisions at $\sqrt{s_{\rm{NN}}}=2.76$ TeV, based on the parton and hadron cascade and dynamically constrained phase-space coalescence (PACIAE + DCPC) model. ... More
8D Likelihood Effective Higgs Couplings Extraction Framework in the Golden ChannelJan 09 2014Dec 16 2014In this paper we build a comprehensive analysis framework to perform direct extraction of all possible effective Higgs couplings to neutral electroweak gauge bosons in the decay to electrons and muons, the so called `golden channel'. Our framework is ... More