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08/23/2023
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Machine Learning (ML) systems are vulnerable to adversarial examples, pa...
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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...
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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...
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07/26/2023
Hypergraph Isomorphism Computation
The isomorphism problem is a fundamental problem in network analysis, wh...
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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...
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06/11/2023
Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees
This paper introduces a novel, computationally-efficient algorithm for p...
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05/10/2023
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network
Cloud native technology has revolutionized 5G beyond and 6G communicatio...
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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 ...
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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...
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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...
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03/26/2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
The increasingly deeper neural networks hinder the democratization of pr...
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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...
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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...
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08/26/2022
Deep Hypergraph Structure Learning
Learning on high-order correlation has shown superiority in data represe...
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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...
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07/19/2022
Lazy Estimation of Variable Importance for Large Neural Networks
As opaque predictive models increasingly impact many areas of modern lif...
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06/19/2022
On the Limitations of Stochastic Pre-processing Defenses
Defending against adversarial examples remains an open problem. A common...
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06/02/2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
U-Nets have achieved tremendous success in medical image segmentation. N...
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05/20/2022
6G Network AI Architecture for Everyone-Centric Customized Services
Mobile communication standards were developed for enhancing transmission...
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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...
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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...
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03/08/2022
Analyzing the Security of the Business Collaboration Platform App Model
Business Collaboration Platforms like Microsoft Teams and Slack enable t...
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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...
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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...
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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...
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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 ...
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07/16/2021
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Trading markets represent a real-world financial application to deploy r...
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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 ...
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06/15/2021
Relation Modeling in Spatio-Temporal Action Localization
This paper presents our solution to the AVA-Kinetics Crossover Challenge...
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06/08/2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph Neural Network (GNN) has been demonstrated its effectiveness in de...
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06/04/2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Image-level contrastive representation learning has proven to be highly ...
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05/13/2021
Leveraging Non-uniformity in First-order Non-convex Optimization
Classical global convergence results for first-order methods rely on uni...
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04/29/2021
Capability Iteration Network for Robot Path Planning
Path planning is an important topic in robotics. Recently, value iterati...
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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...
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04/12/2021
View-Guided Point Cloud Completion
This paper presents a view-guided solution for the task of point cloud c...
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03/29/2021
High-Fidelity and Arbitrary Face Editing
Cycle consistency is widely used for face editing. However, we observe t...
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03/23/2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
Binary neural networks (BNNs) have received increasing attention due to ...
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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...
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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...
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11/27/2020
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
Self-supervised learning achieves superior performance in many domains b...
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07/16/2020
Private Approximations of a Convex Hull in Low Dimensions
We give the first differentially private algorithms that estimate a vari...
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05/16/2020
Attribute2Font: Creating Fonts You Want From Attributes
Font design is now still considered as an exclusive privilege of profess...
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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...
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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...
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03/03/2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses
Recent advances in machine learning (ML) algorithms, especially deep neu...
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02/01/2020
Deep Multi-View Enhancement Hashing for Image Retrieval
Hashing is an efficient method for nearest neighbor search in large-scal...
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10/11/2019
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Automatic generation of artistic glyph images is a challenging task that...
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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...
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12/03/2018
Universal Perturbation Attack Against Image Retrieval
Despite the remarkable success, deep learning models have shown to be vu...
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12/02/2018