Xiaodong Wang · PaperMetrix

Sentiment Analysis of Home Appliance Comment Based on Generative Probabilistic Model

2019

Sentiment analysis plays important roles in the field of e-commerce. Not only the customers and end-users but also the suppliers and manufacturers take advantages of sentiment analysis results for product improvement. In this paper, based …

Communication-Efficient Federated Learning for Resource-Constrained Edge Devices

2023 · IEEE Transactions on Machine Learning in Communications and Networking

Federated learning (FL) is an emerging paradigm to train a global deep neural network (DNN) model by collaborative clients that store their private data locally through the coordination of a central server. A major challenge …

Intelligent Speech Recognition Technology in Japanese using Transformer-based Models and Sentiment Analysis

2025

Language processing applications have greatly benefited from the quick creation of technology for intelligent speech recognition, especially area of Japanese speech analysis. In order to improve accuracy and contextual understanding, this research investigates the integration …

Optimized Multi-Scale Semantic Parameter Selection and Transmission for Vehicular Edge Computing Networks

2025

With the advancement of intelligent driving technology, vehicular networks generate vast amounts of decentralized data that need to be processed. As a distributed paradigm, Federated Learning (FL) enables data integration and processing across various vehicles. …

Deep Learning Recommendation Model for Personalization and Recommendation Systems

2019 · arXiv (Cornell University)

With the advent of deep learning, neural network-based recommendation models have emerged as an important tool for tackling personalization and recommendation tasks. These networks differ significantly from other deep learning networks due to their need …

An Overview of End-to-End Automatic Speech Recognition

2019 · Symmetry