b'Nan Wang'

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...

0 Weijian Xie, et al. ∙

research

∙ 09/02/2023

A Survey of Local Differential Privacy and Its Variants

The introduction and advancements in Local Differential Privacy (LDP) va...

0 Likun Qin, et al. ∙

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...

0 Nan Wang, et al. ∙

research

∙ 06/15/2023

Optimal Hypothesis Testing Based on Information Theory

There has a major problem in the current theory of hypothesis testing in...

0 Dazhuan Xu, et al. ∙

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...

0 Fobo Shi, et al. ∙

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...

0 Fan Xu, et al. ∙

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)...

0 Nan Wang, et al. ∙

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...

0 Jinlong Hu, et al. ∙

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...

0 Nan Wang, et al. ∙

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...

0 Gang Hu, et al. ∙

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...

0 Nan Wang, et al. ∙

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 ...

0 Nan Wang, et al. ∙

research

∙ 10/14/2022

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Personalized text generation has broad industrial applications, such as ...

0 Nan Wang, et al. ∙

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, ...

0 Danpeng Chen, et al. ∙

research

∙ 06/02/2022

MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet

U-Nets have achieved tremendous success in medical image segmentation. N...

13 Nan Wang, et al. ∙

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...

0 Yali Cao, et al. ∙

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...

9 Zhixue Wang, et al. ∙

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...

10 Liang Peng, et al. ∙

research

∙ 01/24/2022

IMO^3: Interactive Multi-Objective Off-Policy Optimization

Most real-world optimization problems have multiple objectives. A system...

0 Nan Wang, et al. ∙

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 ...

0 Nan Wang, et al. ∙

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...

17 Liang Peng, et al. ∙

research

∙ 12/17/2021

Rank4Class: A Ranking Formulation for Multiclass Classification

Multiclass classification (MCC) is a fundamental machine learning proble...

18 Nan Wang, et al. ∙

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...

0 Nan Wang, et al. ∙

research

∙ 11/01/2021

Comparative Explanations of Recommendations

As recommendation is essentially a comparative (or ranking) process, a g...

0 Aobo Yang, et al. ∙

research

∙ 10/26/2021

Unbiased Graph Embedding with Biased Graph Observations

Graph embedding techniques have been increasingly employed in real-world...

0 Nan Wang, et al. ∙

research

∙ 09/21/2021

The Theoretical Limit of Radar Target Detection

In the field of radar target detection, the false alarm and detection pr...

0 Dazhuan Xu, et al. ∙

research

∙ 09/14/2021

An MRC Framework for Semantic Role Labeling

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...

0 Nan Wang, et al. ∙

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...

0 Nan Wang, et al. ∙

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 ...

0 Meiyu Huang, et al. ∙

research

∙ 03/07/2021

CORe: Capitalizing On Rewards in Bandit Exploration

We propose a bandit algorithm that explores purely by randomizing its pa...

0 Nan Wang, et al. ∙

research

∙ 01/24/2021

Explanation as a Defense of Recommendation

Textual explanations have proved to help improve user satisfaction on ma...

0 Aobo Yang, et al. ∙

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...

0 Xiatian Zhang, et al. ∙

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...

0 Lingjuan Lyu, et al. ∙

research

∙ 07/09/2020

Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network

With the development of medical imaging technology, medical images have ...

18 Nan Wang, et al. ∙

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...

0 Nan Wang, et al. ∙

research

∙ 06/09/2020

Directional Multivariate Ranking

User-provided multi-aspect evaluations manifest users' detailed feedback...

0 Nan Wang, et al. ∙

research

∙ 05/18/2020

Unbiased Learning to Rank via Propensity Ratio Scoring

Implicit feedback, such as user clicks, is a major source of supervision...

0 Nan Wang, et al. ∙

research

∙ 04/24/2020

A Survey on Edge Benchmarking

Edge computing is the next Internet frontier that will leverage computin...

0 Blesson Varghese, et al. ∙

research

∙ 04/22/2020

Graph Learning Approaches to Recommender Systems: A Review

Recent years have witnessed the fast development of the emerging topic o...

0 Shoujin Wang, et al. ∙

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 ...

11 Tingting Zhang, et al. ∙

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...

0 Nan Wang, et al. ∙

research

∙ 01/24/2020

Priority-based Fair Scheduling in Edge Computing

Scheduling is important in Edge computing. In contrast to the Cloud, Edg...

0 Arkadiusz Madej, et al. ∙

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...

0 Nan Wang, et al. ∙

research

∙ 09/18/2019

BPMR: Bayesian Probabilistic Multivariate Ranking

Multi-aspect user preferences are attracting wider attention in recommen...

0 Nan Wang, et al. ∙

research

∙ 07/25/2019

DeFog: Fog Computing Benchmarks

Fog computing envisions that deploying services of an application across...

0 Jonathan McChesney, et al. ∙

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...

0 Yiyi Tao, et al. ∙

research

∙ 09/19/2018

DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments

Multi-tenancy in resource-constrained environments is a key challenge in...

0 Nan Wang, et al. ∙

research

∙ 06/10/2018

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

Explaining automatically generated recommendations allows users to make ...

0 Nan Wang, et al. ∙

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...

0 Ziqiang Zheng, et al. ∙

research

∙ 10/27/2017

Edge-as-a-Service: Towards Distributed Cloud Architectures

We present an Edge-as-a-Service (EaaS) platform for realising distribute...

0 Blesson Varghese, et al. ∙

Nan Wang

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