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Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS
This paper investigates robust and secure multiuser multiple-input singl...
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Gaussian Process-Based Model Predictive Control for Overtaking
This paper proposes a novel framework for addressing the challenge of au...
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Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details
With the goal of tuning up the brightness, low-light image enhancement e...
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Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References
It is suggested that low-light image enhancement realizes one-to-many ma...
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Deep Reinforcement Learning of Graph Matching
Graph matching under node and pairwise constraints has been a building b...
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Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems
Channel estimation is of great importance in realizing practical intelli...
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Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering
With only bounding-box annotations in the spatial domain, existing video...
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Multi-SQL: An extensible multi-model data query language
Big data management aims to establish data hubs that support data in mul...
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Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications
Orthogonally assembled double-layered corrugated (OADLC) mechanisms are ...
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Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications
Existing tag signal detection algorithms inevitably suffer from a high b...
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Adaptive Linear Span Network for Object Skeleton Detection
Conventional networks for object skeleton detection are usually hand-cra...
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Latent Causal Invariant Model
Current supervised learning can learn spurious correlation during the da...
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Learning Causal Semantic Representation for Out-of-Distribution Prediction
Conventional supervised learning methods, especially deep ones, are foun...
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Unified gas-kinetic wave-particle methods V: diatomic molecular flow
In this paper, the unified gas-kinetic wave-particle (UGKWP) method is f...
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GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
The heavy traffic congestion problem has always been a concern for moder...
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Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach
Unmanned aerial vehicle (UAV)-assisted communication becomes a promising...
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Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
Channel estimation is a challenging problem for realizing efficient ambi...
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Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets
This paper presents a decentralized Gaussian Process (GP) learning, fusi...
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Attribute-conditioned Layout GAN for Automatic Graphic Design
Modeling layout is an important first step for graphic design. Recently,...
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Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications
Tag signal detection is one of the key tasks in ambient backscatter comm...
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DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction
Solar flare prediction plays an important role in understanding and fore...
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Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
Deep learning has drawn a lot of interest in recent years due to its eff...
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Prototype Mixture Models for Few-shot Semantic Segmentation
Few-shot segmentation is challenging because objects within the support ...
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SCNet: A Neural Network for Automated Side-Channel Attack
The side-channel attack is an attack method based on the information gai...
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Learning to Match Distributions for Domain Adaptation
When the training and test data are from different distributions, domain...
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Discretization-Aware Architecture Search
The search cost of neural architecture search (NAS) has been largely red...
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Progressive Cluster Purification for Unsupervised Feature Learning
In unsupervised feature learning, sample specificity based methods ignor...
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Modeling Lost Information in Lossy Image Compression
Lossy image compression is one of the most commonly used operators for d...
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Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
This paper investigates capabilities of Privacy-Preserving Deep Learning...
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Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
In self-supervised spatio-temporal representation learning, the temporal...
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LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation
The recent development of light-weighted neural networks has promoted th...
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A Unified Gas-kinetic Scheme for Micro Flow Simulation Based on Linearized Kinetic Equation
The flow regime of micro flow varies from collisionless regime to hydrod...
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Towards Fine-grained Human Pose Transfer with Detail Replenishing Network
Human pose transfer (HPT) is an emerging research topic with huge potent...
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HyperSTAR: Task-Aware Hyperparameters for Deep Networks
While deep neural networks excel in solving visual recognition tasks, th...
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Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
With the prosperous of cross-border e-commerce, there is an urgent deman...
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Invertible Image Rescaling
High-resolution digital images are usually downscaled to fit various dis...
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HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
Existing face restoration researches typically relies on either the degr...
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Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
Whereas adversarial training is employed as the main defence strategy ag...
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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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Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
Arbitrary shape text detection is a challenging task due to the high var...
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Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog
Stickers with vivid and engaging expressions are becoming increasingly p...
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Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems
This paper presents an adaptive online distributed optimal control appro...
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Mixed Reinforcement Learning with Additive Stochastic Uncertainty
Reinforcement learning (RL) methods often rely on massive exploration da...
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DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
We propose a novel self-supervised method, referred to as Video Cloze Pr...
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Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm
In 1869, the first draft of the periodic table was published by Russian ...
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An empirical G-Wishart prior for sparse high-dimensional Gaussian graphical models
In Gaussian graphical models, the zero entries in the precision matrix d...
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Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach
In the present work, a hybrid MMC-MMV approach is developed for designin...
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Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
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RGB-D Individual Segmentation
Fine-grained recognition task deals with sub-category classification pro...
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