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Full Description
This three-volume set CCIS 2637-2639, constitutes the refereed proceedings of the 7th International Conference on Blockchain and Trustworthy Systems, BlockSys 2025, held in Zhuhai, China, during May 30-31, 2025.
The 110 full papers included in this book were carefully reviewed and selected from 254 submissions. They were organized in topical sections as follows:
Part I: Blockchain Security & Attack Mitigation; Identity Authentication & Data Privacy; Blockchain Applications & Industry Solutions;
Part II: Deep Learning Architectures & Optimization; Computer Vision & Medical Image Analysis; Natural Language Processing & Multimodal Learning; Reinforcement Learning & Edge Computing Systems;
Part III: Blockchain & Smart Contract Trustworthiness; Federated Learning & Edge Computing Security; Industrial & IoT System Reliability; Privacy-Preserving & Secure Data Management;
Contents
.- Deep Learning Architectures & Optimization
.- Rethinking Oversmoothing Mitigation in Deep Graph Neural Networks.
.- LPipe: Optimizing Memory Utilization in Pipeline Parallelism for Large Language Model Training with Bubble-Filled Activation Swapping.
.- A 2.5D Deep Learning Model Based on 3D CNN and 2D Swin Transformer for the Early Diagnosis of Alzheimer's Disease.
.- MS-UMamba: A Improved Vision Mamba UNet for Fetal Abdominal Medical Image Segmentation.
.- An Efficient Action Recognition Model Based on Improved Deep Learning Algorithm.
.- A DeepSeek-based Multimodal Emotion Recognition Algorithm for Elderly-Oriented Cultural Tourism Scenarios.
.- Matrix Factorization Recommendation System Optimized by Dynamic Latent Factors and Time Weighting.
.- A Stock Price Prediction Method Based on the DWT-FGRU Model.
.- An Efficient UAV-view Small Target Detection Algorithm Based on Dynamic Routing Attention and Collaborative Knowledge Distillation.
.- Computer Vision & Medical Image Analysis
.- VLME: Vision-Language Model Extraction Attack Through Multi-Modal Information Mapping.
.- A Multi-Modal and Temporal-Aware Person Re-identification Algorithm for LiDAR-Based Surveillance.
.- FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement.
.- Vision Foundation Models in Medical Image Analysis: Advances and Challenges.
.- A Survey on Crop Disease Prediction Detection: AI Models Trained on Multispectral and Hyperspectral Images for Early Disease Detection.
.- Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research.
.- Hybrid Distance-Based K-Means Clustering for Datasets with Numerical, Categorical, and Sequential Attributes.
.- Building A Cattle Farming System in Industry 4.0.
.- Underwater fish target detection system integrating multi-scale feature enhancement and multi-target tracking algorithms.
.- Natural Language Processing & Multimodal Learning
.- Transferring External Knowledge to Weakly Supervised Temporal Action Localization.
.- A Contrastive Learning-based Multi-scale Attention Model for Text Recognition.
.- Low-Resource Project-Specific Code Summarizaiton: On the Importance of Datasets.
.- Model Inversion Attack Enhancements: A Study in Optimization.
.- Public Data Pricing Models Leveraging Machine Learning.
.- An Empirical Study of Test Code Summarization.
.- Revisting Data-Driven ECG Classification: Definitions, Datasets and Benchmarks.
.- Intelligent Evaluation Model for Graduate Employment Quality Based on Cross Modal Feature Learning.
.- A New Timely Dataset for Chinese Rumor Detection: Automatic Generation via SOTA Large Language Models.
.- Reinforcement Learning & Edge Computing Systems
.- A Multi-view Hypergraph Contrastive Learning Framework for Item Recommendation.
.- Trajectory Design for Data Collection under Insufficient UAV Energy: A Staged Actor-Critic Reinforcement Learning Approach.
.- A Transformer-based Model with Patch and Gate Attention Meachanisms for Price Prediction in the Stock Market.
.- SEG: Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment.
.- FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting.
.- Research on Air Quality Imputation Model Based on Multi-Scale Attention Convolution Network.
.- A Volatile-Aware Client Selection Method for Federated Learning with Discounted Multi-armed Bandit.
.- Large-Scale Multiobjective Optimization Based on Gradient Grouping.
.- QSC: An Edge Server Placement Strategy Based on Spectral Clustering and Q-Learning.
.- Black-box Target Adversarial Examples against Deep Reinforcement Learning.
.- EC-MADRL: AI-Enhanced Edge Cooperation Caching Based on Multi-Agent Deep Reinforcement Learning.
