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A Comparison of Constitutive Models of BloodAug 24 2018Mathematical models that accurately predict the mechanical behavior of blood can contribute to the development of biomedical devices and medications which are relevant in clinical applications. The models existing in the literature are complex enough ... More

Brain-Inspired Stigmergy LearningNov 20 2018Stigmergy has proved its great superiority in terms of distributed control, robustness and adaptability, thus being regarded as an ideal solution for large-scale swarm control problems. Based on new discoveries on astrocytes in regulating synaptic transmission ... More

AI-based Two-Stage Intrusion Detection for Software Defined IoT NetworksJun 07 2018Software Defined Internet of Things (SD-IoT) Networks profits from centralized management and interactive resource sharing which enhances the efficiency and scalability of IoT applications. But with the rapid growth in services and applications, it is ... More

On the Capacity of Fractal D2D Social Networks With Hierarchical CommunicationsAug 11 2017Aug 11 2018The maximum capacity of fractal D2D (device-to-device) social networks with both direct and hierarchical communications is studied in this paper. Specifically, the fractal networks are characterized by the direct social connection and the self-similarity. ... More

The Stochastic Geometry Analyses of Cellular Networks with α-Stable Self-SimilaritySep 18 2017Nov 19 2018To understand the spatial deployment of base stations (BSs) is the first step to analyze the performance of cellular networks and further design efficient networking protocols. Poisson point process (PPP), which has been widely adopted to characterize ... More

Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler CharacteristicsAug 16 2018Faced with the ever-increasing trend of the cellular network scale, how to quantitatively evaluate the effectiveness of the large-scale deployment of base stations (BSs) has become a challenging topic. To this end, a deeper understanding of the cellular ... More

Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic TopologySep 18 2018In recent decades, the deployments of cellular networks have been going through an unprecedented expansion. In this regard, it is beneficial to acquire profound knowledge of cellular networks from the view of topology so that prominent network performances ... More

TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access NetworksNov 28 2012Apr 04 2014Recent works have validated the possibility of improving energy efficiency in radio access networks (RANs), achieved by dynamically turning on/off some base stations (BSs). In this paper, we extend the research over BS switching operations, which should ... More

On the Capacity of Fractal Wireless Networks With Direct Social InteractionsMay 27 2017The capacity of a fractal wireless network with direct social interactions is studied in this paper. Specifically, we mathematically formulate the self-similarity of a fractal wireless network by a power-law degree distribution $ P(k) $, and we capture ... More

Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless NetworksDec 02 2016Dec 15 2016In conventional cellular networks, for base stations (BSs) that are deployed far away from each other, it is general to assume them to be mutually independent. Nevertheless, after long-term evolution of cellular networks in various generations, this assumption ... More

Deep Learning with Long Short-Term Memory for Time Series PredictionOct 24 2018Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies that are embedded in time series is often an obstacle for most algorithms, ... More

Topological Effect of Surface Plasmon Excitation in Gapped Isotropic Topological Insulator NanowiresSep 24 2013We present a theoretical investigation of the surface plasmon (SP) at the interface between topologically non-trivial cylindrical core and topological-trivial surrounding material, from the axion electrodynamics and modified constitutive relations. We ... More

The Learning and Prediction of Application-level Traffic Data in Cellular NetworksJun 15 2016Mar 28 2017Traffic learning and prediction is at the heart of the evaluation of the performance of telecommunications networks and attracts a lot of attention in wired broadband networks. Now, benefiting from the big data in cellular networks, it becomes possible ... More

Large-scale Spatial Distribution Identification of Base Stations in Cellular NetworksNov 10 2014The performance of cellular system significantly depends on its network topology, where the spatial deployment of base stations (BSs) plays a key role in the downlink scenario. Moreover, cellular networks are undergoing a heterogeneous evolution, which ... More

Granular materials flow like complex fluidsNov 10 2017Granular materials such as sand, powders, foams etc. are ubiquitous in our daily life, as well as in industrial and geotechnical applications. Although these disordered systems form stable structures if unperturbed, in practice they do relax because of ... More

Supersymmetric microring laser arraysFeb 08 2019Feb 28 2019Coherent combination of emission power from an array of coupled semiconductor lasers operating on the same chip is of fundamental and technological importance. In general, the nonlinear competition among the array supermodes can entail incoherence and ... More

Deep Reinforcement Learning for Resource Management in Network SlicingMay 17 2018Nov 21 2018Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-performing and cost-efficient services, network slicing involves challenging ... More

Generative Adversarial Networks with Inverse Transformation UnitSep 27 2017In this paper we introduce a new structure to Generative Adversarial Networks by adding an inverse transformation unit behind the generator. We present two theorems to claim the convergence of the model, and two conjectures to nonideal situations when ... More

Entry effects of droplet in a micro confinement: implications for deformation-based CTC microfiltrationJan 08 2016Deformation based circulating tumor cell (CTC) microchips are a representative diagnostic device for early cancer detection. This type of device usually involves a process of CTC trapping in a confined microgeometry. Further understanding of the CTC flow ... More

SADA: A General Framework to Support Robust Causation Discovery with Theoretical GuaranteeJul 05 2017Causation discovery without manipulation is considered a crucial problem to a variety of applications. The state-of-the-art solutions are applicable only when large numbers of samples are available or the problem domain is sufficiently small. Motivated ... More

Origin of Non-cubic Scaling Law in Disordered Granular PackingMay 19 2017Recent diffraction experiments on metallic glasses have unveiled an unexpected non-cubic scaling law between density and average interatomic distance, which lead to the speculations on the presence of fractal glass order. Using X-ray tomography we identify ... More

The spectral side of stable local trace formula for real groupsAug 30 2017Dec 04 2018Let $G$ be a connected quasi-split reductive group over $\mathbb{R}$, and more generally, a quasi-split $K$-group over $\mathbb{R}$. Arthur had obtained the formal formula for the spectral side of the stable local trace formula, by using formal substitute ... More

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional NetworksApr 11 2016Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks. In this paper, we propose ... More

Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless NetworksDec 02 2016In conventional cellular networks, for base stations (BSs) that are deployed far away from each other, it is general to assume them to be mutually independent. Nevertheless, after long-term evolution of cellular networks in various generations, the assumption ... More

Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents GroupMar 01 2019Collective intelligence is manifested when multiple agents coherently work in observation, interaction, decision-making and action. In this paper, we define and quantify the intelligence level of heterogeneous agents group with the improved Anytime Universal ... More

Group Regularized Estimation under Structural HierarchyNov 17 2014Nov 08 2016Variable selection for models including interactions between explanatory variables often needs to obey certain hierarchical constraints. The weak or strong structural hierarchy requires that the existence of an interaction term implies at least one or ... More

Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense NetworkMay 30 2018Ultra-dense network deployment has been proposed as a key technique for achieving capacity goals in the fifth-generation (5G) mobile communication system. However, the deployment of smaller cells inevitably leads to more frequent handovers, thus making ... More

Convex Optimization for Linear Query Processing under Approximate Differential PrivacyFeb 13 2016May 16 2016Differential privacy enables organizations to collect accurate aggregates over sensitive data with strong, rigorous guarantees on individuals' privacy. Previous work has found that under differential privacy, computing multiple correlated aggregates as ... More

Deformability-based circulating tumor cell separation with conical-shaped microfilters: concept, optimization and design criteriaJan 08 2016The ability of detecting and separating CTCs can play a key role in early cancer detection and treatment. In recent years, there has been growing interest in using deformability-based CTC separation microfilters due to their simplicity and low cost. Most ... More

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram PredictionsDec 16 2017Feb 16 2018This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed ... More

Range Loss for Deep Face Recognition with Long-tailNov 28 2016Convolutional neural networks have achieved great improvement on face recognition in recent years because of its extraordinary ability in learning discriminative features of people with different identities. To train such a well-designed deep network, ... More

Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic PerspectiveSep 02 2018This paper studies the problem of non-cooperative radio resource scheduling in a vehicle-to-vehicle communication network. The technical challenges lie in high vehicle mobility and data traffic variations. Over the discrete scheduling slots, each vehicle ... More

Multiplicity formula and stable trace formulaJul 30 2016Let $G$ be a connected reductive group over $\mathbb{Q}$. In this paper, we will stabilize the local trace formula, in particular, we construct the explicit form of the spectral side of stable local trace formula in the Archimedean case, when one component ... More

Multiplicity formula and stable trace formulaJul 30 2016Jun 05 2018Let $G$ be a connected reductive group over $\mathbb{Q}$. In this paper, we will stabilize the local trace formula, in particular, we construct the explicit form of the spectral side of stable local trace formula in the Archimedean case, when one component ... More

Trajectory-driven Influential Billboard PlacementFeb 06 2018In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards $U$ (each associated with a location and a cost), a database of trajectories $\mathcal{T}$ and a budget $L$, the goal is to ... More

Wave analysis in one dimensional structures with a wavelet finite element model and precise integration methodDec 05 2017Numerical simulation of ultrasonic wave propagation provides an efficient tool for crack identification in structures, while it requires a high resolution and expensive time calculation cost in both time integration and spatial discretization. Wavelet ... More

Trajectory-driven Influential Billboard PlacementFeb 06 2018Sep 15 2018In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards $U$ (each with a location and a cost), a database of trajectories $\mathcal{T}$ and a budget $L$, find a set of billboards within ... More

The Learning and Prediction of Application-level Traffic Data in Cellular NetworksJun 15 2016Traffic learning and prediction is at the heart of the evaluation of the performance of telecommunications networks and attracts a lot of attention in wired broadband networks. Now, benefiting from the big data in cellular networks, it becomes possible ... More

Combined effects of nonmetallic impurities and planned metallic dopants on grain boundary energy and strengthSep 06 2018Dec 12 2018Most research on nanocrystalline alloys has been focused on planned doping of metals with other metallic elements, but nonmetallic impurities are also prevalent in the real world. In this work, we report on the combined effects of metallic dopants and ... More

Characterizing Spatial Patterns of Base Stations in Cellular NetworksApr 04 2014Jun 19 2014The topology of base stations (BSs) in cellular networks, serving as a basis of networking performance analysis, is considered to be obviously distinctive with the traditional hexagonal grid or square lattice model, thus stimulating a fundamental rethinking. ... More

Two-tier Spatial Modeling of Base Stations in Cellular NetworksApr 04 2014Aug 01 2014Poisson Point Process (PPP) has been widely adopted as an efficient model for the spatial distribution of base stations (BSs) in cellular networks. However, real BSs deployment are rarely completely random, due to environmental impact on actual site planning. ... More

Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term MemoryNov 08 2017Apr 03 2018Traffic prediction plays an important role in evaluating the performance of telecommunication networks and attracts intense research interests. A significant number of algorithms and models have been put forward to analyse traffic data and make prediction. ... More

Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with $\ell_1$ and $\ell_2$ RegularizationNov 19 2017In this paper, we made an extension to the convergence analysis of the dynamics of two-layered bias-free networks with one $ReLU$ output. We took into consideration two popular regularization terms: the $\ell_1$ and $\ell_2$ norm of the parameter vector ... More

Low-Rank Mechanism: Optimizing Batch Queries under Differential PrivacyAug 01 2012Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, such that it is provably hard for the adversary to infer the presence or absence ... More

LQCD at non zero isospin chemical potentialNov 02 2012Systems of non-zero isospin chemical potential are studied from a canonical approach by computing correlation functions with the quantum numbers of $N \pi^+$'s ($C_{N \pi}$). In order to reduce the number of contractions required in calculating $C_{N ... More

Null Zig-Zag Wilson Loops in N=4 SYMMay 07 2009In planar ${\cal N}=4$ supersymmetric Yang-Mills theory we have studied supersymmetric Wilson loops composed of a large number of light-like segments, i.e., null zig-zags. These contours oscillate around smooth underlying spacelike paths. At one-loop ... More

Obfuscation for Privacy-preserving Syntactic ParsingApr 21 2019The goal of homomorphic encryption is to encrypt data such that another party can operate on it without being explicitly exposed to the content of the original data. We introduce an idea for a privacy-preserving transformation on natural language data, ... More

Phase Diagram and Magnetic Excitations of Anisotropic Spin-One MagnetsJan 10 2013We use a generalized spin wave approach and large scale quantum Monte Carlo (QMC) simulations to study the quantum phase diagram and quasiparticle excitations of the S=1 Heisenberg model with an easy-plane single-ion anisotropy in dimensions d=2 and 3. ... More

Optimizing Batch Linear Queries under Exact and Approximate Differential PrivacyFeb 26 2015Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, such that it is provably hard for the adversary to infer the presence or absence ... More

Low Rank Mechanism for Optimizing Batch Queries under Differential PrivacyDec 11 2012Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, such that it is provably hard for the adversary to infer the presence or absence ... More

Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning ApproachJul 17 2018In a software-defined radio access network (RAN), a major challenge lies in how to support diverse services for mobile users (MUs) over a common physical network infrastructure. Network slicing is a promising solution to tailor the network to match such ... More

Effect of dynamical interactions on integrated properties of globular clustersJul 11 2014Nov 12 2014Globular Clusters (GCs) are generally treated as natural validators of simple stellar population (SSP) models. However, there are still some differences between real GCs and SSPs. In this work we use a direct $N$-body simulation code {\hf Nbody6} to study ... More

Efficient Decision-based Black-box Adversarial Attacks on Face RecognitionApr 09 2019Face recognition has obtained remarkable progress in recent years due to the great improvement of deep convolutional neural networks (CNNs). However, deep CNNs are vulnerable to adversarial examples, which can cause fateful consequences in real-world ... More

Orthogonal Deep Features Decomposition for Age-Invariant Face RecognitionOct 17 2018As facial appearance is subject to significant intra-class variations caused by the aging process over time, age-invariant face recognition (AIFR) remains a major challenge in face recognition community. To reduce the intra-class discrepancy caused by ... More

Uncovering the influence of common nonmetal impurities on the stability and strength of a Σ5 (310) grain boundary in CuJun 18 2017Jan 30 2018Impurities are often driven to segregate to grain boundaries, which can significantly alter a material's thermal stability and mechanical behavior. To provide a comprehensive picture of this issue, the influence of a wide variety of common nonmetal impurities ... More

Translational and rotational dynamical heterogeneities in granular systemsMar 29 2018We use X-ray tomography to investigate the translational and rotational dynamical heterogeneities of a three dimensional hard ellipsoids granular packing driven by oscillatory shear. We find that particles which translate quickly form clusters with a ... More

A hybrid evolutionary algorithm with importance sampling for multi-dimensional optimizationAug 23 2013A hybrid evolutionary algorithm with importance sampling method is proposed for multi-dimensional optimization problems in this paper. In order to make use of the information provided in the search process, a set of visited solutions is selected to give ... More

Global existence and exponential decay of the solution for a viscoelastic wave equation with a delayNov 06 2012Apr 19 2013In this paper, we consider initial-boundary value problem of viscoelastic wave equation with a delay term in the interior feedback. Namely, we study the following equation $$u_{tt}(x,t)-\Delta u(x,t)+\int_0^t g(t-s)\Delta u(x,s)ds +\mu_1 u_t(x,t)+ \mu_2 ... More

Phonon Drag Effect in Nanocomposite FeSb2Oct 10 2012We study the temperature dependence of thermoelectric transport properties of four FeSb2 nanocomposite samples with different grain sizes. The comparison of the single crystals and nanocomposites of varying grain size indicates the presence of substantial ... More

CosFace: Large Margin Cosine Loss for Deep Face RecognitionJan 29 2018Apr 03 2018Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs). The central task of face recognition, including face verification and identification, involves face feature discrimination. However, ... More

Experimental Realization of Multiple Topological Edge States in a One-Dimensional Photonic LatticeDec 13 2018Topological photonic systems offer light transport that is robust against defects and disorder, promising a new generation of chip-scale photonic devices and facilitating energy-efficient on-chip information routing and processing. However, present quasi ... More

Supersymmetric microring laser arraysFeb 08 2019Coherent combination of emission power from an array of coupled semiconductor lasers operating on the same chip is of fundamental and technological importance. In general, the nonlinear competition among the array supermodes can entail incoherence and ... More

Metastable state involved resonant tunneling through single InAs/GaAs quantum dotAug 17 2007A scheme of resonant tunneling through the metastable state of semiconductor quantum dot is presented and implemented in the transport study of freestanding InAs quantum dots grown on GaAs(001) under illumination using conductive atomic force microscopy. ... More

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeechApr 05 2019This paper introduces a new speech corpus called "LibriTTS" designed for text-to-speech use. It is derived from the original audio and text materials of the LibriSpeech corpus, which has been used for training and evaluating automatic speech recognition ... More

Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence ModelsDec 05 2017Sequence-to-sequence models, such as attention-based models in automatic speech recognition (ASR), are typically trained to optimize the cross-entropy criterion which corresponds to improving the log-likelihood of the data. However, system performance ... More

The Effect of Shallow vs. Deep Level Doping on the Performance of Thermoelectric MaterialsOct 21 2016It is well known that the efficiency of a good thermoelectric material should be optimized with respect to doping concentration. However, much less attention has been paid to the optimization of the dopant's energy level. Thermoelectric materials doped ... More

Direct speech-to-speech translation with a sequence-to-sequence modelApr 12 2019We present an attention-based sequence-to-sequence neural network which can directly translate speech from one language into speech in another language, without relying on an intermediate text representation. The network is trained end-to-end, learning ... More

An analysis of incorporating an external language model into a sequence-to-sequence modelDec 06 2017Attention-based sequence-to-sequence models for automatic speech recognition jointly train an acoustic model, language model, and alignment mechanism. Thus, the language model component is only trained on transcribed audio-text pairs. This leads to the ... More

Improving the Performance of Online Neural Transducer ModelsDec 05 2017Having a sequence-to-sequence model which can operate in an online fashion is important for streaming applications such as Voice Search. Neural transducer is a streaming sequence-to-sequence model, but has shown a significant degradation in performance ... More

Existence of Dyons in Minimally Gauged Skyrme Model via Constrained MinimizationJul 01 2011We prove the existence of electrically and magnetically charged particlelike static solutions, known as dyons, in the minimally gauged Skyrme model developed by Brihaye, Hartmann, and Tchrakian. The solutions are spherically symmetric, depend on two continuous ... More

All-Silicon Topological Semimetals with Closed Nodal LineOct 28 2018Owing to the natural compatibility with current semiconductor industry, silicon allotropes with diverse structural and electronic properties provide promising platforms for the next-generation Si-based devices. After screening 230 all-silicon crystals ... More

Poisson Structures for Dispersionless Integrable Systems and Associated W-AlgebrasDec 04 1996Jan 13 1997In analogy to the KP theory, the second Poisson structure for the dispersionless KP hierarchy can be defined on the space of commutative pseudodifferential operators $L=p^n+\sum_{j=-\infty}^{n-1}u_j p^j$. The reduction of the Poisson structure to the ... More

Investigations of QCD at non-zero isospin densityNov 07 2011We investigate the QCD phase diagram as a function of isospin chemical potential at a fixed temperature by directly putting large numbers of \pi^+s into the system. Correlation functions of N \pi^+s systems involves N!N! contractions, and become extremely ... More

Reverse k Nearest Neighbor Search over TrajectoriesApr 13 2017GPS enables mobile devices to continuously provide new opportunities to improve our daily lives. For example, the data collected in applications created by Uber or Public Transport Authorities can be used to plan transportation routes, estimate capacities, ... More

Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence ModelDec 05 2017Sequence-to-sequence models provide a simple and elegant solution for building speech recognition systems by folding separate components of a typical system, namely acoustic (AM), pronunciation (PM) and language (LM) models into a single neural network. ... More

Hierarchical Generative Modeling for Controllable Speech SynthesisOct 16 2018Dec 27 2018This paper proposes a neural sequence-to-sequence text-to-speech (TTS) model which can control latent attributes in the generated speech that are rarely annotated in the training data, such as speaking style, accent, background noise, and recording conditions. ... More

Structural and Topological Nature of Plasticity in Sheared Granular MaterialsJun 25 2018Upon mechanical loading, granular materials yield and undergo plastic deformation. The nature of plastic deformation is essential for the development of the macroscopic constitutive models and the understanding of shear band formation. However, we still ... More

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech SynthesisJun 12 2018Jan 02 2019We describe a neural network-based system for text-to-speech (TTS) synthesis that is able to generate speech audio in the voice of many different speakers, including those unseen during training. Our system consists of three independently trained components: ... More

Self doping effect and successive magnetic transitions in superconducting Sr$_2$VFeAsO$_3$Jul 22 2010Sep 27 2010We have studied a quinary Fe-based superconductor Sr$_2$VFeAsO$_3$ by the measurements of x-ray diffraction, x-ray absorption, M\"{o}ssbauer spectrum, resistivity, magnetization and specific heat. This apparently undoped oxyarsenide is shown to be self ... More

Quarkonium at non-zero isospin densityNov 13 2012Apr 26 2013We calculate the energies of quarkonium bound states in the presence of a medium of nonzero isospin density using lattice QCD. The medium, created using a canonical (fixed isospin charge) approach, induces a reduction of the quarkonium energies. As the ... More

Integer-Squared Laws for Global Vortices in the Born--Infeld Wave EquationsMay 07 2018Nov 11 2018A series of quantization identities are established for static vortex solutions governed by the Born--Infeld type actions. These identities are of a universal nature which are indifferent to the details of the models and provide refined descriptions of ... More

The Best of Both Worlds: Combining Recent Advances in Neural Machine TranslationApr 26 2018Apr 27 2018The past year has witnessed rapid advances in sequence-to-sequence (seq2seq) modeling for Machine Translation (MT). The classic RNN-based approaches to MT were first out-performed by the convolutional seq2seq model, which was then out-performed by the ... More

Generation and Detection of Surface Plasmon Polaritons by Transition Metal Dichalcogenides for Chip-level Electronic-Photonic Integrated CircuitsJul 07 2015May 22 2016The monolithic integration of electronics and photonics has attracted enormous attention due to its potential applications. However, the realization of such hybrid circuits has remained a challenge because it requires optical communication at nanometer ... More

Switching based Spin Transfer Torque Oscillator with zero-bias field and large tuning-ratioNov 16 2016We propose a novel concept of obtaining oscillations with frequencies in very-high frequency (VHF) and ultra-high frequency (UHF) bands. A traditional spin torque nano-oscillator (STNO) has one or a set of pinned layers (PL) and one or more a set of locked ... More

Spin-torque-induced magnetization dynamics in ferrimagnets based on Landau-Lifshitz-Bloch EquationJul 06 2018A theoretical model based on the Landau-Lifshitz-Bloch equation is developed to study the spin-torque effect in ferrimagnets. Experimental findings, such as the temperature dependence, the peak in spin torque, and the angular-momentum compensation, can ... More

Theoretical Proposal for Determining Angular Momentum Compensation in FerrimagnetsDec 13 2017This work demonstrates that the magnetization and angular momentum compensation temperature (TMC and TAMC) in ferrimagnets (FiM) can be unambiguously determined by performing two sets of temperature dependent current switching, with the symmetry reverses ... More

Group Regularized Estimation under Structural HierarchyNov 17 2014Oct 20 2016Variable selection for models including interactions between explanatory variables often needs to obey certain hierarchical constraints. Weak or strong structural hierarchy requires that the existence of an interaction term implies at least one or both ... More

Effect of magnetic fields on the spin evolution of non-polarized 87Rb Bose-Einstein condensatesFeb 06 2008Feb 15 2008The spin mixing dynamics of spin-1 Bose-Einstein condensates with zero magnetization and under an external magnetic field is investigated. The time-dependent solutions are obtained via a diagonalization of the Hamiltonian, which has a simple form under ... More

Lattice QCD at non-zero isospin chemical potentialMay 18 2012Quantum chromodynamics (QCD) at non-zero isospin chemical potential is studied in a canonical approach by analyzing systems of fixed isospin number density. To construct these systems, we develop a range of new algorithms for performing the factorially ... More

Switching based Spin Transfer Torque Oscillator with zero-bias field and large tuning-ratioNov 16 2016Jun 02 2017We propose a novel concept of obtaining oscillations with frequencies in very-high frequency (VHF) and ultra-high frequency (UHF) bands. A traditional spin torque nano-oscillator (STNO) consists of at least one pinned layer (PL) and one free layer (FL) ... More

A Machine Learning Based Intrusion Detection System for Software Defined 5G NetworkJul 10 2017As an inevitable trend of future 5G networks, Software Defined architecture has many advantages in providing central- ized control and flexible resource management. But it is also confronted with various security challenges and potential threats with ... More

Monitoring the Top-m Aggregation in a Sliding Window of Spatial QueriesOct 12 2016In this paper, we propose and study the problem of top-m rank aggregation of spatial objects in streaming queries, where, given a set of objects O, a stream of spatial queries (kNN or range), the goal is to report m objects with the highest aggregate ... More

State-of-the-art Speech Recognition With Sequence-to-Sequence ModelsDec 05 2017Feb 23 2018Attention-based encoder-decoder architectures such as Listen, Attend, and Spell (LAS), subsume the acoustic, pronunciation and language model components of a traditional automatic speech recognition (ASR) system into a single neural network. In previous ... More

Transport Properties of Ni, Co, Fe, Mn Doped Cu0.01Bi2Te2.7Se0.3 for Thermoelectric Device ApplicationsMay 29 2012Bi2Te3 based thermoelectric devices typically use a nickel layer as a diffusion barrier to block the diffusion of solder or copper atoms from the electrode into the thermoelectric material. Previous studies have shown degradation in the efficiency of ... More

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence ModelingFeb 21 2019Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models are composed of modular building blocks that are flexible and easily extensible, ... More

Discovery through GossipFeb 09 2012We study randomized gossip-based processes in dynamic networks that are motivated by discovery processes in large-scale distributed networks like peer-to-peer or social networks. A well-studied problem in peer-to-peer networks is the resource discovery ... More

Spin-wave mediated interactions for Majority Computation using Skyrmions and Spin-torque Nano-oscillatorsFeb 19 2019Recent progress in all-electrical nucleation, detection and manipulation of magnetic skyrmions has unlocked the tremendous potential of skyrmion-based spintronic devices. Here, we show via micromagnetic simulations that the stable magnetic oscillations ... More

Blind Multi-user Detection for Autonomous Grant-free High-Overloading MA without Reference SignalDec 07 2017In this paper, a novel blind multi-user detection(MUD) framework for autonomous grant-free high-overloading non-orthogonal multiple access is introduced in detail aimed at fulfilling the requirements of fifth-generation massive Machine Type Communications. ... More

Strong spin-oscillation of small spin-1 condensates caused by an inclined weak magnetic fieldMar 14 2009When a magnetic field is applied along a direction deviated from the quantization $Z$-axis, the conservation of total magnetization holds no more. In this case the inclined field can cause a strong spin-evolution via the linear Zeeman term even the field ... More

Thermoelectric Properties of Nanocomposite Heavy Fermion CeCu6Dec 11 2013Dec 13 2013Samples of heavy fermion compound CeCu6 were prepared by hot-press technique. Temperature-dependent (5-300 K) thermoelectric transport properties of the samples were measured. The dimensionless figure-of-merit (ZT) was optimized by varying the hot-pressing ... More