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- research-articleSeptember 2024JUST ACCEPTED
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
ACM Transactions on Intelligent Systems and Technology (TIST), Just Accepted https://doi.org/10.1145/3690648Despite achieving remarkable performance, Federated Learning (FL) encounters two important problems, i.e., low training efficiency and limited computational resources. In this paper, we propose a new FL framework, i.e., FedDUMAP, with three original ...
- research-articleAugust 2024JUST ACCEPTED
A Spatial-Temporal Aggregated Graph Neural Network for Docked Bike-sharing Demand Forecasting
ACM Transactions on Knowledge Discovery from Data (TKDD), Just Accepted https://doi.org/10.1145/3690388Predicting the number of rented and returned bikes at each station is crucial for operators to proactively manage shared bike relocation. Although existing research has proposed spatial-temporal prediction models that significantly advance traffic ...
- research-articleAugust 2024
Hardware-friendly fast rate-distortion optimization algorithm for AV1 encoder
Journal of Real-Time Image Processing (SPJRTIP), Volume 21, Issue 5https://doi.org/10.1007/s11554-024-01535-4AbstractThe rate distortion optimization (RDO) process aims at achieving optimal coding performance by determining the optimal coding mode according to a certain strategy in the AV1 video coding. However, the high computational complexity and strong data ...
- research-articleAugust 2024
Analyzing the blockchain mining strategy in Industrial Internet of Things: A game theoretical approach
Future Generation Computer Systems (FGCS), Volume 159, Issue CPages 51–63https://doi.org/10.1016/j.future.2024.05.003AbstractDeploying Proof-of-Work (PoW) consensus based blockchain systems in Industrial Internet of Things (IIoT) scenarios that rely on wireless channels for data transmission faces new challenges. An IIoT device working in industrial production may ...
Highlights- For the wireless broadcasting environment in the IIoT scenario, a block propagation model in the wireless channel is constructed.
- Aiming at the wireless blockchain system based on PoW consensus, the formal analysis of mining and ...
- ArticleAugust 2024
FOKHic: A Framework of -mer Based Hierarchical Classification
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- ArticleAugust 2024
Enhancing Federated Learning: A Novel Approach of Shapley Value Computation in Smart Contract
Advanced Intelligent Computing Technology and ApplicationsPages 102–112https://doi.org/10.1007/978-981-97-5666-7_9AbstractIn federated learning (FL), the success of model training largely hinges on the contributions from clients. Current FL frameworks encounter obstacles in pinpointing and compensating high-contribution clients effectively. This paper proposes a ...
- research-articleJuly 2024
Semi-supervised image manipulation localization with residual enhancement
Expert Systems with Applications: An International Journal (EXWA), Volume 252, Issue PAhttps://doi.org/10.1016/j.eswa.2024.124171AbstractImages have become a significant medium for information transmission, while image forensics has garnered widespread attention from researchers. Due to the scarcity of finely annotated images in the field of image manipulation detection and ...
Highlights- Unannotated images are utilized for image manipulation detection.
- Semi-supervised framework tailored for image manipulation detection.
- Weakly-supervised framework for features augmentation.
- Residual enhancement module refines ...
- research-articleJuly 2024
Exploring weakly-supervised image manipulation localization with tampering Edge-based class activation map
Expert Systems with Applications: An International Journal (EXWA), Volume 249, Issue PAhttps://doi.org/10.1016/j.eswa.2024.123501AbstractIn recent investigations concerning manipulated image localization, prevailing methodologies have relied on Convolutional Neural Networks (CNNs) to facilitate supervised learning predicated upon manipulated images and their corresponding ground-...
Highlights- CNN models focus on tampered edges for image detection, emphasizing shallow features.
- Proposed EdgeCAM rectifies imprecise shallow representation in CNN models.
- Weakly-supervised framework using EdgeCAM enhances image localization ...
- research-articleJune 2024
PASSP: A Private Authorization Scheme Oriented Service Providers
IEEE Transactions on Network and Service Management (ITNSM), Volume 21, Issue 4Pages 4888–4899https://doi.org/10.1109/TNSM.2024.3420726In our data-centric society, major service providers have access to vast amounts of user information (e.g., user-generated content such as social media posts, and device-generated content such as geolocation data) for convenient and efficient services. ...
- research-articleJune 2024
A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 7Pages 8209–8220https://doi.org/10.1109/TITS.2024.3412329This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of connected automated vehicles (CAVs) in traffic mixed with human-driven vehicles (HDVs) and CAVs. The ...
- research-articleJuly 2024
MA-MIL: Sampling point-level abnormal ECG location method via weakly supervised learning
Computer Methods and Programs in Biomedicine (CBIO), Volume 250, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108164Abstract Background and ObjectiveCurrent automatic electrocardiogram (ECG) diagnostic systems could provide classification outcomes but often lack explanations for these results. This limitation hampers their application in clinical diagnoses. Previous ...
- research-articleJuly 2024
Point-StyleGAN: Multi-scale point cloud synthesis with style modulation
Computer Aided Geometric Design (CAGD), Volume 111, Issue Chttps://doi.org/10.1016/j.cagd.2024.102309AbstractA point cloud is a set of discrete surface samples. As the simplest 3D representation, it is widely used in 3D reconstruction and perception. Yet developing a generative model for point clouds remains challenging due to the sparsity and ...
Graphical abstract Highlights- We propose Point-StyleGAN, a generator adapted from StyleGAN2 architecture for multi-scale point cloud synthesis.
- We introduce multi-resolution discriminators to overcome the under-constrained issue caused by the sparsity of points.
- research-articleMay 2024
The Static Allocation is Not a Static: Optimizing SSD Address Allocation Through Boosting Static Policy
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 35, Issue 8Pages 1373–1386https://doi.org/10.1109/TPDS.2024.3407367The address allocation policy in SSD aims to translate the logical address of I/O requests into a physical address, and the static address allocation is widely used in modern SSD. Through extensive experiments, we find that there are significant ...
- Work in ProgressMay 2024
Towards Equitable CPR: An Interactive System for Female CPR Training
CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 330, Pages 1–5https://doi.org/10.1145/3613905.3651092Bystanders are less likely to perform prompt and effective CPR on women due to psychological barriers and lack of training on female physiology. Current CPR courses, often centered on male manikins, fail to address this gap. Broadening training to ...
- research-articleApril 2024
SmartNIC Security Isolation in the Cloud with S-NIC
EuroSys '24: Proceedings of the Nineteenth European Conference on Computer SystemsPages 851–869https://doi.org/10.1145/3627703.3650071Modern smart NICs provide little isolation between the network functions belonging to different tenants. These NICs also do not protect network functions from the datacenter-provided management OS which runs on the smart NIC. We describe concrete attacks ...
- research-articleAugust 2024
Cross-Modal Pixel-and-Stroke representation aligning networks for free-hand sketch recognition
Expert Systems with Applications: An International Journal (EXWA), Volume 240, Issue Chttps://doi.org/10.1016/j.eswa.2023.122505AbstractWe consider the cross-modal alignment problem for free-hand sketch. Given a sequence of stroke and a rasterized image, the objective is to enhance the performance of sketch recognition through cross-modal interactions. Existing works mostly ...
- research-articleJuly 2024
Three-dimensional morphology scoring of hepatocellular carcinoma stratifies prognosis and immune infiltration
Computers in Biology and Medicine (CBIM), Volume 172, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.108253Abstract BackgroundThe morphological attributes could serve as pivotal indicators precipitating early recurrence and dismal overall survival in hepatocellular carcinoma (HCC), and quantifying morphological features may better stratify the prognosis of ...
Highlights
- Radiomics Approach based on 3D Tumor Morphology Features.
- Patient Stratification with Morph-RS Score.
- Identification of Differentially Expressed Genes through RNA Sequencing.
- Potential Therapeutic Effects of SN-38 and ...
- research-articleMarch 2024
Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 35, Issue 6Pages 862–876https://doi.org/10.1109/TPDS.2024.3379905Clustered federated learning (CFL) is a promising solution to address the non-IID problem in the spatial domain for federated learning (FL). However, existing CFL solutions overlook the non-IID issue in the temporal domain and lack consideration of time ...
- research-articleJuly 2024
METnet: A novel deep learning model predicting MET dysregulation in non-small-cell lung cancer on computed tomography images
- Yige Sun,
- Jirui Guo,
- Yang Liu,
- Nan Wang,
- Yanwei Xu,
- Fei Wu,
- Jianxin Xiao,
- Yingpu Li,
- Xinxin Wang,
- Yang Hu,
- Yang Zhou
Computers in Biology and Medicine (CBIM), Volume 171, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.108136Abstract BackgroundMesenchymal epithelial transformation (MET) is a key molecular target for diagnosis and treatment of non-small cell lung cancer (NSCLC). The corresponding molecularly targeted therapeutics have been approved by Food and Drug ...
Highlights- We designed a novel data processing workflow, utilizing RK-net and MedSAM.
- This workflow greatly reduces difficulties of CT images processing.
- We developed a DL model called METnet based on grouped convolutional module.
- METnet ...
- research-articleJune 2024
A class of robust censored regression adaptive filtering algorithms
AbstractTo improve the robust characteristic and filtering accuracy of the traditional adaptive filtering algorithms (AFAs) under censored regression (CR) model in impulsive interference environments, some robust CR-type AFAs (R-CR-AFAs) have been ...