45 citations · 95 across the 4 of their papers we have counts for
4 papers
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing
Jianguo Jia, Wen Liang, Youzhi Liang
This review presents a comprehensive exploration of hybrid and ensemble deep learning models within Natural Language Processing (NLP), shedding light on their transformative potent…
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method
Wen Liang, Youzhi Liang, Jianguo Jia
Despite substantial progress in the field of deep learning, overfitting persists as a critical challenge, and data augmentation has emerged as a particularly promising approach due…
Cross-Attribute Matrix Factorization Model with Shared User Embedding
Wen Liang, Zeng Fan, Youzhi Liang +1
Over the past few years, deep learning has firmly established its prowess across various domains, including computer vision, speech recognition, and natural language processing. Mo…
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN
Youzhi Liang, Wen Liang, Jianguo Jia
Vibration signals have been increasingly utilized in various engineering fields for analysis and monitoring purposes, including structural health monitoring, fault diagnosis and da…