2 citations · 8 across the 6 of their papers we have counts for
6 papers
Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
Chunyan Mao, Shuaishuai Huang, Mingxiu Sui +2
With the rapid development of the internet and the explosion of information, providing users with accurate personalized recommendations has become an important research topic. This…
Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models
Haowei Yang, Mingxiu Sui, Shaobo Liu +3
With the rapid development of natural language processing technology, large language models have demonstrated exceptional performance in various application scenarios. However, tra…
CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interaction
Minghao Liu, Mingxiu Sui, Yi Nan +2
Effective communication in automated chat systems hinges on the ability to understand and respond to context. Traditional models often struggle with determining when additional con…
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
Mingxiu Sui, Jiacheng Hu, Tong Zhou +3
This paper introduces a novel deep-learning method for the automatic detection and segmentation of lung nodules, aimed at advancing the accuracy of early-stage lung cancer diagnosi…
Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
Qi Wang, Zijun Gao, Mingxiu Sui +3
With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To en…
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
Cangqing Wang, Mingxiu Sui, Dan Sun +2
This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a app…