- 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.