Fabric pilling measurement using three-dimensional image. - Wenbin Ouyang; Rongwu Wang; Bugao Xu (J. Electronic Imaging, 2013)

Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network. - Wenbin Ouyang; Bugao Xu; Jue Hou; Xiaohui Yuan 001 (IEEE Access, 2019)

Convolutional Neural Network for Extracting 3D Point Clouds of Fibrous Web From Multi-Focus Images. - Jue Hou; Wenbin Ouyang; Bugao Xu; Rongwu Wang (IEEE Access, 2020)

Hybrid cost aggregation for dense stereo matching. - Ming Yao; Wenbin Ouyang; Bugao Xu (Multim. Tools Appl., 2020)

Improving Generalization of Deep Reinforcement Learning-based TSP Solvers. - Wenbin Ouyang; Yisen Wang 001; Shaochen Han; Zhejian Jin; Paul Weng (SSCI, 2021)

SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning. - Urwa Muaz; Wondong Jang; Rohun Tripathi; Santhosh Mani; Wenbin Ouyang; Ravi Teja Gadde; Baris Gecer; Sergio Elizondo; Reza Madad; Naveen Nair (ICCV, 2023)

Learning to Configure Separators in Branch-and-Cut. - Sirui Li; Wenbin Ouyang; Max B. Paulus; Cathy Wu 002 (NeurIPS, 2023)

TLMCM Network for Medical Image Hierarchical Multi-Label Classification. - Meng Wu; Siyan Luo; Qiyu Wu 005; Wenbin Ouyang (CoRR, 2023)

Generalization in Deep RL for TSP Problems via Equivariance and Local Search. - Wenbin Ouyang; Yisen Wang 001; Paul Weng; Shaochen Han (SN Comput. Sci., 2024)

Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling. - Sirui Li; Wenbin Ouyang; Yining Ma; Cathy Wu 002 (ICLR, 2025)

Learning to Segment for Vehicle Routing Problems. - Wenbin Ouyang; Sirui Li; Yining Ma; Cathy Wu 002 (CoRR, 2025)