
TimeBased Roofline for Deep Learning Performance Analysis
Deep learning applications are usually very computeintensive and requir...
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Dualconstrained Deep SemiSupervised Coupled Factorization Network with Enriched Prior
Nonnegative matrix factorization is usually powerful for learning the "s...
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5G Technologies Based Remote EHealth: Architecture, Applications, and Solutions
Currently, many countries are facing the problems of aging population, s...
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NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
Link prediction is the task of predicting missing connections between en...
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Generating PersonScene Interactions in 3D Scenes
High fidelity digital 3D environments have been proposed in recent years...
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Grasping Field: Learning Implicit Representations for Human Grasps
In recent years, substantial progress has been made on robotic grasping ...
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A Survey on Concept Factorization: From Shallow to Deep Representation Learning
The quality of learned features by representation learning determines th...
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Dense Small Satellite Networks for Modern Terrestrial Communication Systems: Benefits, Infrastructure, and Technologies
Dense small satellite networks (DSSN) in low earth orbits (LEO) can bene...
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Perpetual Motion: Generating Unbounded Human Motion
The modeling of human motion using machine learning methods has been wid...
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Learning Posterior and Prior for Uncertainty Modeling in Person ReIdentification
Data uncertainty in practical person reID is ubiquitous, hence it requir...
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GradCam Guided Progressive Feature CutMix for Classification
Image features from a small local region often give strong evidence in t...
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Decentralized Blockchain for PrivacyPreserving LargeScale Contact Tracing
Activitytracking applications and locationbased services using shortr...
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Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
The power consumption of households has been constantly growing over the...
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Intervention scenarios to enhance knowledge transfer in a network of firm
We investigate a multiagent model of firms in an R&D network. Each firm...
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Cooperative MultiAgent Reinforcement Learning with Partial Observations
In this paper, we propose a distributed zerothorder policy optimization...
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Improving the Convergence Rate of OnePoint ZerothOrder Optimization using Residual Feedback
Many existing zerothorder optimization (ZO) algorithms adopt twopoint ...
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Binary linear codes with few weights from Boolean functions
Boolean functions have very nice applications in cryptography and coding...
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Knowledge Graph Empowered Entity Description Generation
Existing works on KGtotext generation take as input a few RDF triples ...
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On the Performance of DualHop Systems over Mixed FSO/mmWave Fading Channels
Freespace optical (FSO) links are considered as a costefficient way to...
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Improving BERT with SelfSupervised Attention
One of the most popular paradigms of applying large, pretrained NLP mod...
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Satirical News Detection with Semantic Feature Extraction and Gametheoretic Rough Sets
Satirical news detection is an important yet challenging task to prevent...
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SKNet: Deep Learning on Point Cloud via Endtoend Discovery of Spatial Keypoints
Since the PointNet was proposed, deep learning on point cloud has been t...
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SetStructured Latent Representations
Unstructured data often has latent component structure, such as the obje...
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Transfer Reinforcement Learning under Unobserved Contextual Information
In this paper, we study a transfer reinforcement learning problem where ...
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Semantic Change Pattern Analysis
Change detection is an important problem in vision field, especially for...
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SociallyAware Robot Planning via Bandit Human Feedback
In this paper, we consider the problem of designing collisionfree, dyna...
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Deep Reinforcement Learning for Fresh Data Collection in UAVassisted IoT Networks
Due to the flexibility and low operational cost, dispatching unmanned ae...
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Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density
We consider nonparametric measurement error density deconvolution subjec...
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Modeltheoretic Characterizations of Existential Rule Languages
Existential rules, a.k.a. dependencies in databases, and Datalog+/ in k...
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Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Recently, the embeddingbased recommendation models (e.g., matrix factor...
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Deep Selfrepresentative Concept Factorization Network for Representation Learning
In this paper, we investigate the unsupervised deep representation learn...
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Generating 3D People in Scenes without People
We present a fullyautomatic system that takes a 3D scene and generates ...
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Energy Autonomous Wearable Sensors for Smart Healthcare: A Review
Energy Autonomous Wearable Sensors (EAWS) have attracted a large interes...
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Towards Universal Languages for Tractable Ontology Mediated Query Answering
An ontology language for ontology mediated query answering (OMQAlanguag...
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A MolecularMNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy
An image dataset of 10 different size molecules, where each molecule has...
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A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
In this paper, we consider the problem of distributed online convex opti...
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Secrecy and Covert Communications against UAV Surveillance via MultiHop Networks
The deployment of unmanned aerial vehicle (UAV) for surveillance and mon...
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Two classes of pary linear codes and their duals
Let F_p^m be the finite field of order p^m, where p is an odd prime and ...
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Flexible Autoweighted Localcoordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Concept Factorization (CF) and its variants may produce inaccurate repre...
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Learning Reinforced Attentional Representation for EndtoEnd Visual Tracking
Despite the fact that tremendous advances have been made by numerous rec...
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Densely Connected Graph Convolutional Networks for GraphtoSequence Learning
We focus on graphtosequence learning, which can be framed as transduci...
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Age of InformationAware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
In this paper, we investigate the problem of age of information (AoI)aw...
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Attention Guided Graph Convolutional Networks for Relation Extraction
Dependency trees convey rich structural information that is proven usefu...
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Deep Set Prediction Networks
We study the problem of predicting a set from a feature vector with a de...
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Permissioned Blockchain for Efficient and Secure Resource Sharing in Vehicular Edge Computing
With the fast expanding scale of vehicular networks, vehicular edge comp...
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FSPool: Learning Set Representations with Featurewise Sort Pooling
We introduce a pooling method for sets of feature vectors based on sorti...
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Lowrank Random Tensor for Bilinear Pooling
Bilinear pooling is capable of extracting highorder information from da...
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Decentralized Deep Reinforcement Learning for DelayPower Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expec...
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Blockchain for Internet of Things: A Survey
Internet of Things (IoT) is reshaping the incumbent industry to smart in...
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Joint Label Prediction based SemiSupervised Adaptive Concept Factorization for Robust Data Representation
Constrained Concept Factorization (CCF) yields the enhanced representati...
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Yan Zhang
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University of Southampton
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Duke University
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Nanjing University
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Max Planck Society
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Western Sydney University
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Simula Research Lab
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BEIJING JIAOTONG UNIVERSITY
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Zhejiang University
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Tohoku University
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ETH Zurich
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California State University, San Bernardino
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IEEE
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Johns Hopkins University
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Tianjin University
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Wuhan University
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Berkeley Lab
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Xidian University
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Universität Ulm
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NetEase, Inc
Professor, Deans Unit School Of Computing, Engineering & Math at Western Sydney University