b'Yue Gao'

research

∙ 08/23/2023

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks

Machine Learning (ML) systems are vulnerable to adversarial examples, pa...

0 Yue Gao, et al. ∙

research

∙ 08/09/2023

Enhancement of Direct LEO Satellite-to-Smartphone Communications by Distributed Beamforming

The low earth orbit (LEO) satellite network is undergoing rapid developm...

0 Zhuoao Xu, et al. ∙

research

∙ 08/09/2023

Enhancement of Satellite-to-Phone Link Budget by Using Distributed Beamforming

Small satellites in Low Earth Orbit (LEO) attract much attention from bo...

0 Zhuoao Xu, et al. ∙

research

∙ 07/26/2023

Hypergraph Isomorphism Computation

The isomorphism problem is a fundamental problem in network analysis, wh...

0 Yifan Feng, et al. ∙

research

∙ 06/30/2023

Weighted Sum Rate Enhancement by Using Dual-Side IOS-Assisted Full-Duplex for Multi-User MIMO Systems

This paper established a novel multi-input multi-output (MIMO) communica...

0 Sisai Fang, et al. ∙

research

∙ 06/11/2023

Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees

This paper introduces a novel, computationally-efficient algorithm for p...

0 Yue Gao, et al. ∙

research

∙ 05/10/2023

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network

Cloud native technology has revolutionized 5G beyond and 6G communicatio...

0 Lin Wang, et al. ∙

research

∙ 05/10/2023

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

We propose a novel method called SHS-Net for oriented normal estimation ...

0 Qing Li, et al. ∙

research

∙ 04/20/2023

High-Fidelity and Freely Controllable Talking Head Video Generation

Talking head generation is to generate video based on a given source ide...

0 Yue Gao, et al. ∙

research

∙ 04/09/2023

Energy-Efficient URLLC Service Provision via a Near-Space Information Network

The integration of a near-space information network (NSIN) with the reco...

0 Puguang An, et al. ∙

research

∙ 03/26/2023

Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks

The increasingly deeper neural networks hinder the democratization of pr...

0 Zheng Lin, et al. ∙

research

∙ 01/21/2023

CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence

In this paper, we propose a novel probabilistic variant of iterative clo...

0 Pengyu Yin, et al. ∙

research

∙ 09/26/2022

EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems

We present EasyRec, an easy-to-use, extendable and efficient recommendat...

0 Mengli Cheng, et al. ∙

research

∙ 08/26/2022

Deep Hypergraph Structure Learning

Learning on high-order correlation has shown superiority in data represe...

13 Zizhao Zhang, et al. ∙

research

∙ 07/19/2022

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform

Significant geometric structures can be compactly described by global wi...

0 Yining Zhao, et al. ∙

research

∙ 07/19/2022

Lazy Estimation of Variable Importance for Large Neural Networks

As opaque predictive models increasingly impact many areas of modern lif...

0 Yue Gao, et al. ∙

research

∙ 06/19/2022

On the Limitations of Stochastic Pre-processing Defenses

Defending against adversarial examples remains an open problem. A common...

0 Yue Gao, 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

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

0 Yang Yang, et al. ∙

research

∙ 03/28/2022

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

Recently, vision-language pre-training shows great potential in open-voc...

0 Yu Du, et al. ∙

research

∙ 03/12/2022

Factored Attention and Embedding for Unstructured-view Topic-related Ultrasound Report Generation

Echocardiography is widely used to clinical practice for diagnosis and t...

0 Fuhai Chen, et al. ∙

research

∙ 03/08/2022

Analyzing the Security of the Business Collaboration Platform App Model

Business Collaboration Platforms like Microsoft Teams and Slack enable t...

0 Yunang Chen, et al. ∙

research

∙ 12/28/2021

Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access

Grant-free non-coherent index-modulation (NC-IM) has been recently consi...

0 Li Qiao, et al. ∙

research

∙ 11/27/2021

GATER: Learning Grasp-Action-Target Embeddings and Relations for Task-Specific Grasping

Intelligent service robots require the ability to perform a variety of t...

0 Ming Sun, et al. ∙

research

∙ 10/17/2021

Towards Language-guided Visual Recognition via Dynamic Convolutions

In this paper, we are committed to establishing an unified and end-to-en...

0 Gen Luo, et al. ∙

research

∙ 07/23/2021

Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach

In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted ...

0 Yang Wang, et al. ∙

research

∙ 07/16/2021

Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets

Trading markets represent a real-world financial application to deploy r...

10 Yue Gao, et al. ∙

research

∙ 06/28/2021

Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model

Network estimation from multi-variate point process or time series data ...

0 Yue Gao, et al. ∙

research

∙ 06/15/2021

Relation Modeling in Spatio-Temporal Action Localization

This paper presents our solution to the AVA-Kinetics Crossover Challenge...

0 Yutong Feng, et al. ∙

research

∙ 06/08/2021

Graph-MLP: Node Classification without Message Passing in Graph

Graph Neural Network (GNN) has been demonstrated its effectiveness in de...

0 Yang Hu, et al. ∙

research

∙ 06/04/2021

Aligning Pretraining for Detection via Object-Level Contrastive Learning

Image-level contrastive representation learning has proven to be highly ...

0 Fangyun Wei, et al. ∙

research

∙ 05/13/2021

Leveraging Non-uniformity in First-order Non-convex Optimization

Classical global convergence results for first-order methods rely on uni...

14 Jincheng Mei, et al. ∙

research

∙ 04/29/2021

Capability Iteration Network for Robot Path Planning

Path planning is an important topic in robotics. Recently, value iterati...

0 Buqing Nie, et al. ∙

research

∙ 04/18/2021

Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers

As real-world images come in varying sizes, the machine learning model i...

0 Yue Gao, et al. ∙

research

∙ 04/12/2021

View-Guided Point Cloud Completion

This paper presents a view-guided solution for the task of point cloud c...

0 Xuancheng Zhang, et al. ∙

research

∙ 03/29/2021

High-Fidelity and Arbitrary Face Editing

Cycle consistency is widely used for face editing. However, we observe t...

9 Yue Gao, et al. ∙

research

∙ 03/23/2021

ReCU: Reviving the Dead Weights in Binary Neural Networks

Binary neural networks (BNNs) have received increasing attention due to ...

4 Zihan Xu, et al. ∙

research

∙ 12/13/2020

Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network

Transformer-based architectures have shown great success in image captio...

0 Jiayi Ji, et al. ∙

research

∙ 12/08/2020

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

3D object detection is an important yet demanding task that heavily reli...

15 He Wang, et al. ∙

research

∙ 11/27/2020

Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning

Self-supervised learning achieves superior performance in many domains b...

12 Haoyi Fan, et al. ∙

research

∙ 07/16/2020

Private Approximations of a Convex Hull in Low Dimensions

We give the first differentially private algorithms that estimate a vari...

0 Yue Gao, et al. ∙

research

∙ 05/16/2020

Attribute2Font: Creating Fonts You Want From Attributes

Font design is now still considered as an exclusive privilege of profess...

4 Yizhi Wang, et al. ∙

research

∙ 05/07/2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging

The coronavirus disease, named COVID-19, has become the largest global p...

25 Donglin Di, et al. ∙

research

∙ 04/05/2020

Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing

To support popular Internet of Things (IoT) applications such as virtual...

0 Xiaolan Liu, et al. ∙

research

∙ 03/03/2020

Analyzing Accuracy Loss in Randomized Smoothing Defenses

Recent advances in machine learning (ML) algorithms, especially deep neu...

15 Yue Gao, et al. ∙

research

∙ 02/01/2020

Deep Multi-View Enhancement Hashing for Image Retrieval

Hashing is an efficient method for nearest neighbor search in large-scal...

0 Chenggang Yan, et al. ∙

research

∙ 10/11/2019

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

Automatic generation of artistic glyph images is a challenging task that...

13 Yue Gao, et al. ∙

research

∙ 09/25/2019

20 Years of Evolution from Cognitive to Intelligent Communications

It has been 20 years since the concept of cognitive radio (CR) was propo...

0 Zhijin Qin, et al. ∙

research

∙ 12/03/2018

Universal Perturbation Attack Against Image Retrieval

Despite the remarkable success, deep learning models have shown to be vu...

0 Jie Li, et al. ∙

research

∙ 12/02/2018

PVRNet: Point-View Relation Neural Network for 3D Shape Recognition

Three-dimensional (3D) shape recognition has drawn much research attenti...

0 Haoxuan You, et al. ∙

Yue Gao

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