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Boosting performance for software defined networks from traffic engineering perspective
Paths selection algorithms and rate adaptation objective functions are u...
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GraphHop: An Enhanced Label Propagation Method for Node Classification
A scalable semi-supervised node classification method on graph-structure...
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Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Most Visual Question Answering (VQA) models suffer from the language pri...
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Bipartite Graph Embedding via Mutual Information Maximization
Bipartite graph embedding has recently attracted much attention due to t...
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Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Event Detection, a fundamental task of Information Extraction, tends to ...
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Towards Imperceptible Adversarial Image Patches Based on Network Explanations
The vulnerability of deep neural networks (DNNs) for adversarial example...
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Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework
The optimal charging infrastructure planning problem over a large geospa...
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A Syntactic Approach to Studying Strongly Equivalent Logic Programs
In the field of Answer Set Programming (ASP), two logic programs are str...
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Pre-trained Model for Chinese Word Segmentation with Meta Learning
Recent researches show that pre-trained models such as BERT (Devlin et a...
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Graph Geometry Interaction Learning
While numerous approaches have been developed to embed graphs into eithe...
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SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
Segmenting arbitrary 3D objects into constituent parts that are structur...
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Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
Non-autoregressive models generate target words in a parallel way, which...
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Coarse-to-Fine Pre-training for Named Entity Recognition
More recently, Named Entity Recognition hasachieved great advances aided...
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Uniformly accurate structure-preserving algorithms for nonlinear Hamiltonian systems with highly oscillatory solution
Uniformly accurate algorithms and structure-preserving algorithms consti...
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Focus-Constrained Attention Mechanism for CVAE-based Response Generation
To model diverse responses for a given post, one promising way is to int...
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Inductive Learning on Commonsense Knowledge Graph Completion
Commonsense knowledge graph (CKG) is a special type of knowledge graph (...
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EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
With the boom of edge intelligence, its vulnerability to adversarial att...
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A novel combination of theoretical analysis and data-driven method for reconstruction of structural defects
Ultrasonic guided wave technology has played a significant role in the f...
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TEAM: We Need More Powerful Adversarial Examples for DNNs
Although deep neural networks (DNNs) have achieved success in many appli...
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Admissible ways of merging p-values under arbitrary dependence
Methods of merging several p-values into a single p-value are important ...
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Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
Deep convolutional neural networks have demonstrated promising performan...
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Optimal convergence and long-time conservation of exponential integration for Schrödinger equations in a normal or highly oscillatory regime
In this paper, we formulate and analyse exponential integrations when ap...
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Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
Few-shot classification tends to struggle when it needs to adapt to dive...
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Accelerating linear solvers for Stokes problems with C++ metaprogramming
The efficient solution of large sparse saddle point systems is very impo...
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Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
With the rapid development of mobile Internet technology and the widespr...
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MeshODE: A Robust and Scalable Framework for Mesh Deformation
We present MeshODE, a scalable and robust framework for pairwise CAD mod...
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Error estimates of some splitting schemes for charged-particle dynamics under strong magnetic field
In this work, we consider the error estimates of some splitting schemes ...
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Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Generative adversarial imitation learning (GAIL) has shown promising res...
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Attention-based Transducer for Online Speech Recognition
Recent studies reveal the potential of recurrent neural network transduc...
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Unified Multi-Criteria Chinese Word Segmentation with BERT
Multi-Criteria Chinese Word Segmentation (MCCWS) aims at finding word bo...
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Feature-Driven Super-Resolution for Object Detection
Although some convolutional neural networks (CNNs) based super-resolutio...
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Graph Structured Network for Image-Text Matching
Image-text matching has received growing interest since it bridges visio...
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Efficient Sentence Embedding via Semantic Subspace Analysis
A novel sentence embedding method built upon semantic subspace analysis,...
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SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
Sentence embedding is an important research topic in natural language pr...
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Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples
Although deep neural networks (DNNs) have achieved successful applicatio...
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A New Software Framework for Traffic Engineering: Path Cardinality and the Effect of Multipath on Residual Capacity
In this paper, we present a new traffic engineering (TE) software framew...
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From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study
Virtual worlds have become global platforms connecting millions of peopl...
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Global Adaptive Generative Adjustment
Many traditional signal recovery approaches can behave well basing on th...
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Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolution Neural Networks
Recent studies have shown convolution neural networks (CNNs) for image r...
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A game method for improving the interpretability of convolution neural network
Real artificial intelligence always has been focused on by many machine ...
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From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
Leaf image recognition techniques have been actively researched for plan...
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Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching
Learning semantic correspondence between image and text is significant a...
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On the Strong Equivalences of LPMLN Programs
By incorporating the methods of Answer Set Programming (ASP) and Markov ...
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On the Strong Equivalences for LPMLN Programs
LPMLN is a powerful knowledge representation and reasoning tool that com...
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Learning Elastic Constitutive Material and Damping Models
The fidelity of a deformation simulation is highly dependent upon the un...
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Graph Representation Learning: A Survey
Research on graph representation learning has received a lot of attentio...
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Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Deep Convolutional Neural Networks (CNNs) have been widely used in image...
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A filtered Boris algorithm for charged-particle dynamics in a strong magnetic field
A modification of the standard Boris algorithm, called filtered Boris al...
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Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
Benefiting from the excellent ability of neural networks on learning sem...
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Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
In recent years, convolutional neural networks (CNNs) have become deeper...
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