4 citations · 4 across the 7 of their papers we have counts for
7 papers
Dynamic Adaptation in Data Storage: Real-Time Machine Learning for Enhanced Prefetching
Chiyu Cheng, Chang Zhou, Yang Zhao +1
The exponential growth of data storage demands has necessitated the evolution of hierarchical storage management strategies [1]. This study explores the application of streaming ma…
Optimizing SSD Caches for Cloud Block Storage Systems Using Machine Learning Approaches
Chiyu Cheng, Chang Zhou, Yang Zhao +1
The growing demand for efficient cloud storage solutions has led to the widespread adoption of Solid-State Drives (SSDs) for caching in cloud block storage systems. The management…
Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques
Chiyu Cheng, Chang Zhou, Yang Zhao
The exponential growth of data-intensive applications has placed unprecedented demands on modern storage systems, necessitating dynamic and efficient optimization strategies. Tradi…
Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
Yang Zhao, Chang Zhou, Jin Cao +4
This paper explores multi-scenario optimization on large platforms using multi-agent reinforcement learning (MARL). We address this by treating scenarios like search, recommendatio…
Research on Driver Facial Fatigue Detection Based on Yolov8 Model
Chang Zhou, Yang Zhao, Shaobo Liu +3
In a society where traffic accidents frequently occur, fatigue driving has emerged as a grave issue. Fatigue driving detection technology, especially those based on the YOLOv8 deep…
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
Chang Zhou, Yang Zhao, Yuelin Zou +4
This paper proposes new methods to enhance click-through rate (CTR) prediction models using the Deep Interest Network (DIN) model, specifically applied to the advertising system of…
Research on Image Recognition Technology Based on Multimodal Deep Learning
Jinyin Wang, Xingchen Li, Yixuan Jin +3
This project investigates the human multi-modal behavior identification algorithm utilizing deep neural networks. According to the characteristics of different modal information, d…