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Aug 01, 2016
Mesoscale and Nanoscale Physics

Theory of substrate-directed heat dissipation for single-layer graphe…

We present a theory of the phononic thermal (Kapitza) resistance at the interface between graphene or another single-layer two-dimensional (2D) cryst…
May 03, 2018
Strongly Correlated Electrons
Dynamical Systems
Atomic and Molecular Clusters

Floquet Mechanism for Non-Abelian Fractional Quantum Hall States

Exotic non-Abelian quasiparticles are believed to occur in certain fractional quantum Hall (FQH) states when effective three-body correlations form b…
Aug 21, 2013
Materials Science
Mesoscale and Nanoscale Physics

Strain dependence of the heat transport properties of graphene nano…

Using a combination of accurate density-functional theory and a nonequilibrium Green function's method, we calculate the ballistic thermal conductanc…
May 16, 2018
Computation and Language

In this paper we introduce Contextual Sarcasm Detector called as CASCADE which leverages both content and contextual information for the classification. For contextual details, we perform user profiling along with discourse modeling from comments in…

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

The literature in automated sarcasm detection has mainly focused on lexical, syntactic and semantic-level analysis of text. However, a sarcastic sent…
Feb 17, 2014
Multiagent Systems
Physics and Society

Simulating Congestion Dynamics of Train Rapid Transit using Smart Car…

Investigating congestion in train rapid transit systems (RTS) in today's urban cities is a challenge compounded by limited data availability and diff…
Jan 31, 2017
Computer Science and Game Theory

On the Role of a Market Maker in Networked Cournot Competition

We study Cournot competition among firms in a networked marketplace that is centrally managed by a market maker. In particular, we study a situation …
Mar 01, 2018
Computation and Language
Machine Learning

A Deep Learning Approach for Multimodal Deception Detection

Automatic deception detection is an important task that has gained momentum in computational linguistics due to its potential applications. In this p…
Jun 15, 2016
Machine Learning
Neural and Evolutionary Computation
Sound

Multi-Modal Hybrid Deep Neural Network for Speech Enhancement

Deep Neural Networks (DNN) have been successful in en- hancing noisy speech signals. Enhancement is achieved by learning a nonlinear mapping function…
Mar 19, 2018
Mesoscale and Nanoscale Physics

Realistic Floquet semimetal with exotic topological linkages between …

Valence and conduction bands in nodal loop semimetals (NLSMs) touch along closed loops in momentum space. If such loops can proliferate and link intr…
Sep 06, 2018
Other Condensed Matter
Mathematical Physics
Computational Physics

Anatomy of skin modes and topology in non-Hermitian systems

A non-Hermitian system can exhibit extensive sensitivity of its complex energy spectrum to the imposed boundary conditions, which is beyond any known…
May 07, 2019
Instrumentation and Detectors
Optics

Simulation of Silicon Waveguide Single-Photon Avalanche Detectors for…

Integrated quantum photonics, which allows for the development and implementation of chip-scale devices, is recognized as a key enabling technology o…
Sep 28, 2018
Mesoscale and Nanoscale Physics

Tutorial: Concepts and numerical techniques for modeling individual …

At the nanoscale, thermal transport across the interface between two lattice insulators can be described by the transmission of bulk phonons and depe…
Jul 19, 2017
Sound
Machine Learning

From Bach to the Beatles: The simulation of human tonal expectation …

Tonal structure is in part conveyed by statistical regularities between musical events, and research has shown that computational models reflect tona…
Feb 21, 2019
Computer Vision

Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and …

Effective and real-time eyeblink detection is of wide-range applications, such as deception detection, drive fatigue detection, face anti-spoofing, e…
Oct 22, 2020
Machine Learning
Adaptation and Self-Organizing Systems
Physics and Society

Optimising Stochastic Routing for Taxi Fleets with Model Enhanced R…

The future of mobility-as-a-Service (Maas)should embrace an integrated system of ride-hailing, street-hailing and ride-sharing with optimised intelli…
Jan 10, 2021
Machine Learning
Artificial Intelligence
Computer Vision

An Unsupervised Learning Method with Convolutional Auto-Encoder for …

To achieve reliable mining results for massive vessel trajectories, one of the most important challenges is how to efficiently compute the similariti…
Sep 01, 2013
Distributed
Parallel
and Cluster Computing

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

With the ease-of-programming, flexibility and yet efficiency, MapReduce has become one of the most popular frameworks for building big-data applicati…
Aug 28, 2015
Social and Information Networks
Computers and Society
Human-Computer Interaction
Physics and Society

A Dynamical Model of Twitter Activity Profiles

The advent of the era of Big Data has allowed many researchers to dig into various socio-technical systems, including social media platforms. In part…
Nov 19, 2015
Machine Learning

Stochastic modified equations and adaptive stochastic gradient algo…

We develop the method of stochastic modified equations (SME), in which stochastic gradient algorithms are approximated in the weak sense by continuou…
Mar 04, 2018
Machine Learning

An Optimal Control Approach to Deep Learning and Applications to Di…

Deep learning is formulated as a discrete-time optimal control problem. This allows one to characterize necessary conditions for optimality and devel…
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