most citedResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder

46 citations · 143 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024★ 2 cited

BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining

Wen Liang, Youzhi Liang

BERT (Bidirectional Encoder Representations from Transformers) has revolutionized the field of natural language processing through its exceptional performance on numerous tasks. Ye…

cs.AI2023★ 20 cited

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…

cs.AI2023

AlphaZero Gomoku

Wen Liang, Chao Yu, Brian Whiteaker +3

In the past few years, AlphaZero's exceptional capability in mastering intricate board games has garnered considerable interest. Initially designed for the game of Go, this revolut…

cs.CV2023★ 29 cited

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…

cs.IR2023★ 1 cited

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…

eess.IV2023★ 46 cited

ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder

Youzhi Liang, Wen Liang

The utilization of biometric authentication with pattern images is increasingly popular in compact Internet of Things (IoT) devices. However, the reliability of such systems can be…

eess.SP2023★ 45 cited

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…