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To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
Recent advances in machine learning, wireless communication, and mobile ...
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Knowledge-Augmented Dexterous Grasping with Incomplete Sensing
Humans can determine a proper strategy to grasp an object according to t...
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Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
Public intelligent services enabled by machine learning algorithms are v...
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Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network
Fashion products typically feature in compositions of a variety of style...
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Deep Learning is Singular, and That's Good
In singular models, the optimal set of parameters forms an analytic set ...
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Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly
In this work we solve for partially observable reinforcement learning (R...
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Towards the Transportation Internet: Concepts, Architectures and Requirements
The Internet has become a general network design paradigm. The Energy In...
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Fast and Secure Distributed Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) has been successfully applied in ...
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NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models
In this paper we propose a novel method for infrared and visible image f...
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Outlier Detection Using a Novel method: Quantum Clustering
We propose a new assumption in outlier detection: Normal data instances ...
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A Robust Attentional Framework for License Plate Recognition in the Wild
Recognizing car license plates in natural scene images is an important y...
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Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge
Conventional referring expression comprehension (REF) assumes people to ...
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Structured Multimodal Attentions for TextVQA
Text based Visual Question Answering (TextVQA) is a recently raised chal...
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How does Working from Home Affect Developer Productivity? – A Case Study of Baidu During COVID-19 Pandemic
Nowadays, working from home (WFH) has become a popular work arrangement ...
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Attacking Recommender Systems with Augmented User Profiles
Recommendation Systems (RS) have become an essential part of many online...
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Intention Propagation for Multi-agent Reinforcement Learning
A hallmark of an AI agent is to mimic human beings to understand and int...
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Underwater image enhancement with Image Colorfulness Measure
Due to the absorption and scattering effects of the water, underwater im...
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Machine-learning-based methods for output only structural modal identification
In this study, we propose a machine-learning-based approach to identify ...
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Smart Prediction of the Complaint Hotspot Problem in Mobile Network
In mobile network, a complaint hotspot problem often affects even thousa...
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Recovering compressed images for automatic crack segmentation using generative models
In a structural health monitoring (SHM) system that uses digital cameras...
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Dynamic Experience Replay
We present a novel technique called Dynamic Experience Replay (DER) that...
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An Efficient Secure Dynamic Skyline Query Model
It is now cost-effective to outsource large dataset and perform query ov...
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SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud
It is now cost-effective to outsource large dataset and perform query ov...
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Target Privacy Preserving for Social Networks
In this paper, we incorporate the realistic scenario of key protection i...
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Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
Public intelligent services enabled by machine learning algorithms are v...
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Improved dual channel pulse coupled neural network and its application to multi-focus image fusion
This paper presents an improved dual channel pulse coupled neural networ...
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Multi-focus Image Fusion Based on Similarity Characteristics
A novel multi-focus image fusion algorithm performed in spatial domain b...
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Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples
In this paper, we aim to tackle the one-shot person re-identification pr...
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Single-shot 3D shape reconstruction using deep convolutional neural networks
A robust single-shot 3D shape reconstruction technique integrating the f...
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MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network
IP protocol is the core of TCP/IP network layer. However, since IP addre...
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Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction
A learning-based 3D reconstruction method for long-span bridges is propo...
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DISCO: Influence Maximization Meets Network Embedding and Deep Learning
Since its introduction in 2003, the influence maximization (IM) problem ...
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The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks
The Internet has become the most important infrastructure of modern soci...
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Towards End-to-End Text Spotting in Natural Scenes
Text spotting in natural scene images is of great importance for many im...
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A Simple and Robust Convolutional-Attention Network for Irregular Text Recognition
Reading irregular text of arbitrary shape in natural scene images is sti...
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Pedestrian re-identification based on Tree branch network with local and global learning
Deep part-based methods in recent literature have revealed the great pot...
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RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
Data sparsity and data imbalance are practical and challenging issues in...
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MMKG: Multi-Modal Knowledge Graphs
We present MMKG, a collection of three knowledge graphs that contain bot...
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Automatic trajectory measurement of large numbers of crowded objects
Complex motion patterns of natural systems, such as fish schools, bird f...
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Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach
Compressive sensing (CS) has been studied and applied in structural heal...
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The Crossover-Distance for ISI-Correcting Decoding of Convolutional Codes in Diffusion-Based Molecular Communications
In diffusion based molecular communication, the intersymbol interference...
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Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
There are great interests as well as many challenges in applying reinfor...
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Neural Model-Based Reinforcement Learning for Recommendation
There are great interests as well as many challenges in applying reinfor...
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Double Neural Counterfactual Regret Minimization
Counterfactual Regret Minimization (CRF) is a fundamental and effective ...
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Visual Question Answering as Reading Comprehension
Visual question answering (VQA) demands simultaneous comprehension of bo...
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LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data
Data loss is a critical problem in structural health monitoring (SHM). P...
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A LQD-RKHS-based distribution-to-distribution regression method and its application to restore distributions of missing SHM data
Data loss is a critical problem in structural health monitoring (SHM). P...
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Automatically Generate Steganographic Text Based on Markov Model and Huffman Coding
Steganography, as one of the three basic information security systems, h...
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Infrared and visible image fusion using a novel deep decomposition method
Infrared and visible image fusion is an important problem in image fusio...
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Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Recognizing irregular text in natural scene images is challenging due to...
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