3 citations · 3 across the 6 of their papers we have counts for
6 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…
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…
Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding
Chang Zhou, Yang Zhao, Jin Cao +3
This paper explores the integration of strategic optimization methods in search advertising, focusing on ad ranking and bidding mechanisms within E-commerce platforms. By employing…