research
∙
09/08/2023
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
Dense SLAM based on monocular cameras does indeed have immense applicati...
share
research
∙
09/02/2023
A Survey of Local Differential Privacy and Its Variants
The introduction and advancements in Local Differential Privacy (LDP) va...
research
∙
08/26/2023
SOK: Privacy Definitions and Classical Mechanisms in the Local Setting
This paper delves into the intricate landscape of privacy notions, speci...
research
∙
06/15/2023
Optimal Hypothesis Testing Based on Information Theory
There has a major problem in the current theory of hypothesis testing in...
research
∙
06/06/2023
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
Prompt engineering is an essential technique for enhancing the abilities...
research
∙
06/03/2023
Exploring Global and Local Information for Anomaly Detection with Normal Samples
Anomaly detection aims to detect data that do not conform to regular pat...
research
∙
05/29/2023
HySST: A Stable Sparse Rapidly-Exploring Random Trees Optimal Motion Planning Algorithm for Hybrid Dynamical Systems
This paper proposes a stable sparse rapidly-exploring random trees (SST)...
research
∙
05/02/2023
BrainNPT: Pre-training of Transformer networks for brain network classification
Deep learning methods have advanced quickly in brain imaging analysis ov...
research
∙
04/06/2023
TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
APT detection is difficult to detect due to the long-term latency, cover...
research
∙
02/17/2023
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks
Federated Learning (FL) is a novel distributed machine learning approach...
research
∙
02/16/2023
Practically Efficient Secure Computation of Rank-based Statistics Over Distributed Datasets
In this paper, we propose a practically efficient model for securely com...
research
∙
10/26/2022
A Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Dynamical Systems
This paper proposes a rapidly-exploring random trees (RRT) algorithm to ...
research
∙
10/14/2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Personalized text generation has broad industrial applications, such as ...
research
∙
07/04/2022
VIP-SLAM: An Efficient Tightly-Coupled RGB-D Visual Inertial Planar SLAM
In this paper, we propose a tightly-coupled SLAM system fused with RGB, ...
research
∙
06/02/2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
U-Nets have achieved tremendous success in medical image segmentation. N...
research
∙
05/09/2022
Age-driven Joint Sampling and Non-slot Based Scheduling for Industrial Internet of Things
Effective control of time-sensitive industrial applications depends on t...
research
∙
03/29/2022
AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection
This paper proposed a novel anomaly detection (AD) approach of High-spee...
research
∙
03/17/2022
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis
In this work, we focus on the challenging task, neuro-disease classifica...
research
∙
01/24/2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization
Most real-world optimization problems have multiple objectives. A system...
research
∙
01/12/2022
Theoretical Limits of Joint Detection and Estimation for Radar Target
This paper proposes a joint detection and estimation (JDE) scheme based ...
research
∙
12/19/2021
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Graph Convolutional Neural Networks (GCNs) are widely used for graph ana...
research
∙
12/17/2021
Rank4Class: A Ranking Formulation for Multiclass Classification
Multiclass classification (MCC) is a fundamental machine learning proble...
research
∙
11/03/2021
Privacy-Preserving Energy Storage Sharing with Blockchain and Secure Multi-Party Computation
Energy storage provides an effective way of shifting temporal energy dem...
research
∙
11/01/2021
Comparative Explanations of Recommendations
As recommendation is essentially a comparative (or ranking) process, a g...
research
∙
10/26/2021
Unbiased Graph Embedding with Biased Graph Observations
Graph embedding techniques have been increasingly employed in real-world...
research
∙
09/21/2021
The Theoretical Limit of Radar Target Detection
In the field of radar target detection, the false alarm and detection pr...
research
∙
09/14/2021
An MRC Framework for Semantic Role Labeling
Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...
research
∙
05/04/2021
Unconditional energy dissipation and error estimates of the SAV Fourier spectral method for nonlinear fractional generalized wave equation
In this paper, we consider a second-order scalar auxiliary variable (SAV...
research
∙
03/15/2021
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Deep learning techniques have made an increasing impact on the field of ...
research
∙
03/07/2021
CORe: Capitalizing On Rewards in Bandit Exploration
We propose a bandit algorithm that explores purely by randomizing its pa...
research
∙
01/24/2021
Explanation as a Defense of Recommendation
Textual explanations have proved to help improve user satisfaction on ma...
research
∙
11/10/2020
Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network
For high-dimensional data, there are huge communication costs for distri...
research
∙
07/15/2020
Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy
Cloud computing has been a dominant paradigm for a variety of informatio...
research
∙
07/09/2020
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network
With the development of medical imaging technology, medical images have ...
research
∙
06/23/2020
Space-time clustering of flash floods in a changing climate (China, 1950-2015)
The persistence over space and time of flash flood disasters – flash flo...
research
∙
06/09/2020
Directional Multivariate Ranking
User-provided multi-aspect evaluations manifest users' detailed feedback...
research
∙
05/18/2020
Unbiased Learning to Rank via Propensity Ratio Scoring
Implicit feedback, such as user clicks, is a major source of supervision...
research
∙
04/24/2020
A Survey on Edge Benchmarking
Edge computing is the next Internet frontier that will leverage computin...
research
∙
04/22/2020
Graph Learning Approaches to Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
research
∙
02/22/2020
Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method
The network information system is a military information network system ...
research
∙
01/24/2020
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning
Fog computing is an emerging paradigm that aims to meet the increasing c...
research
∙
01/24/2020
Priority-based Fair Scheduling in Edge Computing
Scheduling is important in Edge computing. In contrast to the Cloud, Edg...
research
∙
12/21/2019
UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing
In real-world underwater environment, exploration of seabed resources, u...
research
∙
09/18/2019
BPMR: Bayesian Probabilistic Multivariate Ranking
Multi-aspect user preferences are attracting wider attention in recommen...
research
∙
07/25/2019
DeFog: Fog Computing Benchmarks
Fog computing envisions that deploying services of an application across...
research
∙
06/03/2019
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
Latent factor models have achieved great success in personalized recomme...
research
∙
09/19/2018
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments
Multi-tenancy in resource-constrained environments is a key challenge in...
research
∙
06/10/2018
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
Explaining automatically generated recommendations allows users to make ...
research
∙
11/29/2017
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
Generative Adversarial Networks are proved to be efficient on various ki...
research
∙
10/27/2017
