Haowei Yang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP.
CoRR, July, 2025

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems.
CoRR, June, 2025

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers.
CoRR, June, 2025

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion.
CoRR, May, 2025

User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data.
CoRR, May, 2025

Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy.
CoRR, April, 2025

SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition.
Neurocomputing, 2025

Communication Countermeasure Strategy Decision-Making Based on Incomplete Information Game.
Proceedings of the 27th International Conference on Advanced Communications Technology, 2025

2024
A Privacy-Preserving Aggregation Scheme With Continuous Authentication for Federated Learning in VANETs.
IEEE Trans. Veh. Technol., July, 2024

Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs.
IEEE Trans. Dependable Secur. Comput., 2024

Swarm Contract: A Multi-Sovereign Agent Consensus Mechanism.
CoRR, 2024

Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models.
CoRR, 2024

Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms.
CoRR, 2024

Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models.
CoRR, 2024

Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model.
CoRR, 2024

Multi-modal clothing recommendation model based on large model and VAE enhancement.
CoRR, 2024

Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning.
CoRR, 2024

Text classification optimization algorithm based on graph neural network.
CoRR, 2024

Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description.
CoRR, 2024

Applying Conditional Generative Adversarial Networks for Imaging Diagnosis.
CoRR, 2024

Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique.
CoRR, 2024

Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis.
CoRR, 2024

Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology.
CoRR, 2024

Application of Natural Language Processing in Financial Risk Detection.
CoRR, 2024

Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network.
CoRR, 2024

An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation.
CoRR, 2024

Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks.
CoRR, 2024

A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Enhancing Utility in Differential Privacy Models Through Feature Extraction and Knowledge Distillation.
Proceedings of the Data Security and Privacy Protection - Second International Conference, 2024

Multi-modal clothing recommendation model based on large model andVAEenhancement.
Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference, 2024

2023
A Privacy-Preserving Remote Heart Rate Abnormality Monitoring System.
IEEE Access, 2023

A Design of Data Interaction Interface Based on DDS for UAV-Borne SAR Distributed Simulation.
Proceedings of the 25th International Conference on Advanced Communication Technology, 2023

2022
BCS-Net: Boundary, Context, and Semantic for Automatic COVID-19 Lung Infection Segmentation From CT Images.
IEEE Trans. Instrum. Meas., 2022

A benchmark dataset and baseline model for co-salient object detection within RGB-D images.
Multim. Tools Appl., 2022

A Dynamic Cyber-attack Approach for Real-time Hardware-in-the-loop Simulation of Power Grid.
Proceedings of the 24th International Conference on Advanced Communication Technology, 2022

2021
DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution.
IEEE Trans. Cybern., 2021

2019
Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction.
IEEE Access, 2019

A PDSI-based Online Fault Configuration Approach for Communication Network in Power Grid Simulation.
Proceedings of the 21st International Conference on Advanced Communication Technology, 2019


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