Ruoxin Wang

According to our database, Ruoxin Wang authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for surface roughness prediction in ultra-precision machining.

Penghui Ruan, Divya Saxena, Jiannong Cao, Xiao-Yun Liu, Ruoxin Wang, Chi Fai Cheung

Expert Syst. Appl., 2025

2024

Explainable prediction of surface roughness in multi-jet polishing based on ensemble regression and differential evolution method.

Yueyue Wang, Zongbao He, Shu-Tong Xie, Ruoxin Wang, Zili Zhang, Shimin Liu, Suiyan Shang, Pai Zheng, Chunjin Wang

Expert Syst. Appl., 2024

NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining.

Penghui Ruan, Divya Saxena, Jiannong Cao, Xiaoyun Liu, Ruoxin Wang, Chi Fai Cheung

CoRR, 2024

2023

Knowledge graph embedding learning system for defect diagnosis in additive manufacturing.

Ruoxin Wang, Chi Fai Cheung

Comput. Ind., August, 2023

Unsupervised Defect Segmentation in Selective Laser Melting.

Ruoxin Wang, Chi Fai Cheung, Chunjin Wang

IEEE Trans. Instrum. Meas., 2023

2022

Ensemble learning with a genetic algorithm for surface roughness prediction in multi-jet polishing.

Ruoxin Wang, Mei Na Cheng, Yee Man Loh, Chunjin Wang, Chi Fai Cheung

Expert Syst. Appl., 2022

CenterNet-based defect detection for additive manufacturing.

Ruoxin Wang, Chi Fai Cheung

Expert Syst. Appl., 2022

Deep learning characterization of surface defects in the selective laser melting process.

Ruoxin Wang, Chi Fai Cheung, Chunjin Wang, Mei Na Cheng

Comput. Ind., 2022

2019

An Order Inserting Predictive-reactive Batch-splitting Scheduling Method.

Jian Lin Fu, Jian Jun Tang, Ruoxin Wang, Hong Qin Liang, Jian Zhang

Proceedings of the 25th International Conference on Automation and Computing, 2019