output
20012021
most citedRecent Trends in Deep Learning Based Natural Language Processing

1.2k citations

61 papers

cs.RO2021★ 25 cited

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

Wei Zhang, Yunfeng Zhang, Ning Liu +2

This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL). Although DRL exhibits h…

physics.atom-ph2020★ 9 cited

Precision measurement of the and quadrupole moments in Lu

R. Kaewuam, T. R. Tan, Zhiqiang Zhang +3

Precision measurements of the Lu and quadrupole moments have been carried out giving and , respect…

physics.atom-ph2020★ 17 cited

Branching fractions for decays in Ba

Zhiqiang Zhang, K. J. Arnold, S. R. Chanu +3

Branching fractions for decays from the level in Ba have been measured with a single laser-cooled ion. Decay probabilities to , and $D_{5/2…

physics.optics2020★ 28 cited

Non-invasive optical focusing inside strongly scattering media with linear fluorescence

Dayan Li, Sujit Kumar Sahoo, Huy Quoc Lam +2

Non-invasive optical focusing inside scattering media is still a big challenge because inhomogeneous media scatter both incoming photons for focusing and outgoing photons for obser…

cs.CR2020★ 50 cited

SNIFF: Reverse Engineering of Neural Networks with Fault Attacks

Jakub Breier, Dirmanto Jap, Xiaolu Hou +2

Neural networks have been shown to be vulnerable against fault injection attacks. These attacks change the physical behavior of the device during the computation, resulting in a ch…

physics.atom-ph2019★ 32 cited

Precision measurements on the Ba clock transition

Kyle J. Arnold, Rattakorn Kaewuam, Sapam R. Chanu +3

Measurement of the Ba clock transition frequency and Landé factor are reported. The clock transition frequency $ν_{\mathrm{B…

eess.SP2019★ 36 cited

Analog Weights in ReRAM DNN Accelerators

Jason K. Eshraghian, Sung-Mo Kang, Seungbum Baek +3

Artificial neural networks have become ubiquitous in modern life, which has triggered the emergence of a new class of application specific integrated circuits for their acceleratio…

cs.CL2019★ 14 cited

Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation

Yerbolat Khassanov, Zhiping Zeng, Van Tung Pham +2

The neural language models (NLM) achieve strong generalization capability by learning the dense representation of words and using them to estimate probability distribution function…

cs.CL2018★ 13 cited

On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition

Zhiping Zeng, Yerbolat Khassanov, Van Tung Pham +3

Code-switching (CS) refers to a linguistic phenomenon where a speaker uses different languages in an utterance or between alternating utterances. In this work, we study end-to-end…

cs.RO2018★ 10 cited

Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion

Jiaxin Li, Yingcai Bi, Kun Li +3

Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade. In recent years, Ultr…

cs.CL2018★ 2 cited

Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition

Pengcheng Guo, Haihua Xu, Lei Xie +1

In this paper, we present our overall efforts to improve the performance of a code-switching speech recognition system using semi-supervised training methods from lexicon learning…

cs.CR2018

On the near prime-order MNT curves

Duc-Phong Le, Nadia El Mrabet, Safia Haloui +1

In their seminar paper, Miyaji, Nakabayashi and Takano introduced the first method to construct families of prime-order elliptic curves with small embedding degrees, namely k = 3,…

cs.CL2018★ 37 cited

A Deep Learning Approach for Multimodal Deception Detection

Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria +1

Automatic deception detection is an important task that has gained momentum in computational linguistics due to its potential applications. In this paper, we propose a simple yet t…

cs.CL2017★ 1.2k cited

Recent Trends in Deep Learning Based Natural Language Processing

Tom Young, Devamanyu Hazarika, Soujanya Poria +1

Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains. Recently, a variet…

cs.MA2014★ 26 cited

Distributed Local Linear Parameter Estimation using Gaussian SPAWN

Mei Leng, Wee Peng Tay, Tony Q. S. Quek +1

We consider the problem of estimating local sensor parameters, where the local parameters and sensor observations are related through linear stochastic models. Sensors exchange mes…

cond-mat.mes-hall2013★ 33 cited

Investigation of Magnetic Proximity Effect inTa/YIG Bilayer Hall Bar Structure

Yumeng Yang, Baolei Wu, Kui Yao +3

In this work, the investigation of magnetic proximity effect was extended to Ta which has been reported to have a negative spin Hall angle. Magnetoresistance and Hall measurements…

physics.soc-ph2013★ 19 cited

From sparse to dense and from assortative to disassortative in online social networks

Menghui Li, Shuguang Guan, Chensheng Wu +5

Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create lin…

cs.SI2013★ 29 cited

A coevolving model based on preferential triadic closure for social media networks

Menghui Li, Hailin Zou, Shuguang Guan +4

The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis…

cond-mat.stat-mech2013★ 3 cited

Phase transitions in Ising model induced by weight redistribution on weighted regular networks

Menghui Li, Ying Fan, Jinshan Wu +1

In order to investigate the role of the weight in weighted networks, the collective behavior of the Ising system on weighted regular networks is studied by numerical simulation. In…

cs.NI2013★ 57 cited

Efficient routing on multilayered communication networks

Jie Zhou, Gang Yan, Choy-Heng Lai

We study the optimal routing on multilayered communication networks, which are composed of two layers of subnetworks. One is a wireless network, and the other is a wired network. W…

physics.soc-ph2013★ 43 cited

Do scientists trace hot topics?

Tian Wei, Menghui Li, Chensheng Wu +4

Do scientists follow hot topics in their scientific investigations? In this paper, by performing analysis to papers published in the American Physical Society (APS) Physical Review…

eess.SY2013

Finite-time Stabilization of Circular Formations using Bearing-only Measurements

Shiyu Zhao, Feng Lin, Kemao Peng +2

This paper studies decentralized formation control of multiple vehicles when each vehicle can only measure the local bearings of their neighbors by using bearing-only sensors. Sinc…

physics.soc-ph2013★ 5 cited

Spectral Anlysis on Explosive Percolation

Ning Ning Chung, Lock Yue Chew, Choy Heng Lai

We study the spectral properties of the process of explosive percolation. In particular, we explore how the maximum eigenvalue of the adjacency matrix of a network which governs th…

physics.soc-ph2012★ 424 cited

Controlling complex networks: How much energy is needed?

Gang Yan, Jie Ren, Ying-Cheng Lai +2

The outstanding problem of controlling complex networks is relevant to many areas of science and engineering, and has the potential to generate technological breakthroughs as well.…