An Order Inserting Predictive-reactive Batch-splitting Scheduling Method. - Jian Lin Fu; Jian Jun Tang; Ruoxin Wang; Hong Qin Liang; Jian Zhang 043 (ICAC, 2019)

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)

CenterNet-based defect detection for additive manufacturing. - Ruoxin Wang; Chi Fai Cheung (Expert Syst. Appl., 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)

Unsupervised Defect Segmentation in Selective Laser Melting. - Ruoxin Wang; Chi Fai Cheung; Chunjin Wang (IEEE Trans. Instrum. Meas., 2023)

Knowledge graph embedding learning system for defect diagnosis in additive manufacturing. - Ruoxin Wang; Chi Fai Cheung (Comput. Ind., 2023)

A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation. - Ruoxin Wang; Tianyi Tang; Haiming Du; Yuxuan Cheng; Yu Wang; Lingjie Yang; Xiaohui Duan; Yunfang Yu; Yu Zhou; Donglong Chen (BIBM, 2024)

NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining. - Penghui Ruan; Divya Saxena; Jiannong Cao 001; Xiaoyun Liu; Ruoxin Wang; Chi Fai Cheung (CoRR, 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 001; Xiao-Yun Liu; Ruoxin Wang; Chi Fai Cheung (Expert Syst. Appl., 2025)