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09/18/2023
Network Traffic Classification Based on External Attention by IP Packet Header
As the emerging services have increasingly strict requirements on qualit...
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07/15/2023
HyperGo: Probability-based Directed Hybrid Fuzzing
Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for ...
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07/10/2023
Cross-Layer Assisted Early Congestion Control for Cloud VR Services in 5G Edge Network
Cloud virtual reality (VR) has emerged as a promising technology, offeri...
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03/04/2022
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks
The Covid-19 pandemic has forced the workforce to switch to working from...
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11/01/2021
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Mobile network traffic forecasting is one of the key functions in daily ...
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09/12/2021
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph
Graph neural networks exhibit remarkable performance in graph data analy...
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06/10/2021
Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip
The ultrasound (US) screening of the infant hip is vital for the early d...
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03/11/2021
SDN Controller Load Balancing Based on Reinforcement Learning
Aiming at the local overload of multi-controller deployment in software-...
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09/14/2020
UniFuzz: Optimizing Distributed Fuzzing via Dynamic Centralized Task Scheduling
Fuzzing is one of the most efficient technology for vulnerability detect...
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06/21/2020
Improving Image Captioning with Better Use of Captions
Image captioning is a multimodal problem that has drawn extensive attent...
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05/25/2020
SoK: The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing
Greybox fuzzing has been the most scalable and practical approach to sof...
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03/07/2020
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
Increasing the autonomy level of a robot hand to accomplish remote objec...
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11/27/2019
A Survey of Mobile Edge Computing in the Industrial Internet
With the advent of a new round of the Industrial Revolution, the Industr...
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09/08/2019
STA: Adversarial Attacks on Siamese Trackers
Recently, the majority of visual trackers adopt Convolutional Neural Net...
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10/17/2018
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Benefitting from large-scale training datasets and the complex training ...
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08/17/2018
