Look-Ahead Scheme for High Speed Consecutive Micro Line Interpolation Based on Dynamics of Machine Tool. - Fangyu Peng; Xubin Chen; Yong Zhou; Li Li; Bin Li 026 (ICIRA (2), 2008)

A Method of General Stiffness Modeling for Multi-axis Machine Tool. - Rong Yan; Fangyu Peng; Bin Li 026 (ICIRA (2), 2008)

Adaptive Notch Filter Control for the Torsion Vibration in Lead-Screw Feed Drive System Based on Neural Network. - Yong Zhou; Fangyu Peng; Bin Li 026 (ICIRA (2), 2008)

A Complete Methodology for Estimating Dynamics of the Heavy Machine Tool Structure. - Hui Cai; Bin Li 026; Xinyong Mao; Bo Luo; Fangyu Peng (ICIRA (2), 2013)

Experimental Study on Cutter Deflection in Multi-axis NC Machining. - Xianyin Duan; Fangyu Peng; Rong Yan; Zerun Zhu; Bin Li 026 (ICIRA (1), 2014)

Skeuomorphism and Flat Design: Evaluating Users' Emotion Experience in Car Navigation Interface Design. - Lei Wu; Tian Lei; Juan Li; Bin Li 026 (HCI (18), 2015)

EID vs UCD: A Comparative Study on User Interface Design in Complex Electronics Manufacturing Systems. - Lei Wu; Juan Li; Tian Lei; Bin Li 026 (HCI (6), 2016)

Influence of information overload on operator's user experience of human-machine interface in LED manufacturing systems. - Lei Wu; Zhijuan Zhu; Huai Cao; Bin Li 026 (Cogn. Technol. Work., 2016)

DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network. - Shuanlong Niu; Hui Lin; Tongzhi Niu; Bin Li 026; Xinggang Wang (CASE, 2019)

Automated defect inspection of LED chip using deep convolutional neural network. - Hui Lin; Bin Li 026; Xinggang Wang; Yufeng Shu; Shuanglong Niu (J. Intell. Manuf., 2019)

Design of deep learning accelerated algorithm for online recognition of industrial products defects. - Yufeng Shu; Yu Huang; Bin Li 026 (Neural Comput. Appl., 2019)

Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification. - Bo Luo; Haoting Wang; Hongqi Liu; Bin Li 026; Fangyu Peng (IEEE Trans. Ind. Electron., 2019)

Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing. - Chengming Shi; George Panoutsos; Bo Luo; Hongqi Liu; Bin Li 026; Xu Lin (IEEE Trans. Ind. Electron., 2019)

Uneven Illumination Surface Defects Inspection Based on Saliency Detection and Intrinsic Image Decomposition. - Yuanhong Qiu; Lixin Tang; Bin Li 026; Suanlong Niu; Tongzhi Niu (IEEE Access, 2020)

Defect Image Sample Generation With GAN for Improving Defect Recognition. - Shuanlong Niu; Bin Li 026; Xinggang Wang; Hui Lin (IEEE Trans Autom. Sci. Eng., 2020)

Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion. - Chengming Shi; Bo Luo; Songping He; Kai Li; Hongqi Liu; Bin Li 026 (IEEE Trans. Ind. Informatics, 2020)

Clear Memory-Augmented Auto-Encoder for Surface Defect Detection. - Wei Luo; Tongzhi Niu; Lixin Tang; Wenyong Yu; Bin Li 026 (CoRR, 2022)

Defect attention template generation cycleGAN for weakly supervised surface defect segmentation. - Shuanlong Niu; Bin Li 026; Xinggang Wang; Songping He; Yaru Peng (Pattern Recognit., 2022)

Joint-Prior-Based Uneven Illumination Image Enhancement for Surface Defect Detection. - Yuanhong Qiu; Shuanlong Niu; Tongzhi Niu; Weifeng Li; Bin Li 026 (Symmetry, 2022)

Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images. - Shuanlong Niu; Bin Li 026; Xinggang Wang; Yaru Peng (IEEE Trans. Ind. Informatics, 2022)

Background-Adaptive Surface Defect Detection Neural Networks via Positive Samples. - Tongzhi Niu; Biao Chen; Zhenrong Wang; Ruoqi Zhang; Bin Li 026 (IECON, 2023)

Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection. - Tongzhi Niu; Bin Li 026; Kai Li; Yufeng Lin; Yuwei Li; Weifeng Li; Zhenrong Wang (CoRR, 2023)

NAS-ASDet: An Adaptive Design Method for Surface Defect Detection Network using Neural Architecture Search. - Zhenrong Wang; Bin Li 026; Weifeng Li; Shuanlong Niu; Wang Miao; Tongzhi Niu (CoRR, 2023)

Selecting informative data for defect segmentation from imbalanced datasets via active learning. - Weifeng Li; Bin Li 026; Shuanlong Niu; Zhenrong Wang; Baohui Liu; Tongzhi Niu (Adv. Eng. Informatics, 2023)

A transformed-feature-space data augmentation method for defect segmentation. - Shuanlong Niu; Yaru Peng; Bin Li 026; Xinggang Wang (Comput. Ind., 2023)

A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics. - Caihua Hao; Xinyong Mao; Tao Ma; Songping He; Bin Li 026; Hongqi Liu; Fangyu Peng; Lei Zhang (Adv. Eng. Informatics, 2023)

A generalized well neural network for surface defect segmentation in Optical Communication Devices via Template-Testing comparison. - Tongzhi Niu; Zhiyu Xie 002; Jie Zhang; Lixin Tang; Bin Li 026; Hao Wang 048 (Comput. Ind., 2023)

NAS-ASDet: An adaptive design method for surface defect detection network using neural architecture search. - Zhenrong Wang; Bin Li 026; Weifeng Li; Shuanlong Niu; Miao Wang; Tongzhi Niu (Adv. Eng. Informatics, 2024)

Learning trustworthy model from noisy labels based on rough set for surface defect detection. - Tongzhi Niu; Zhenrong Wang; Weifeng Li; Kai Li; Yuwei Li; Guiyin Xu; Bin Li 026 (Appl. Soft Comput., 2024)

Feature matching driven background generalization neural networks for surface defect segmentation. - Biao Chen; Tongzhi Niu; Ruoqi Zhang; Hang Zhang; Yuchen Lin; Bin Li 026 (Knowl. Based Syst., 2024)

A drift detection method for industrial images based on a defect segmentation model. - Weifeng Li; Bin Li 026; Zhenrong Wang; Chaochao Qiu; Shuanlong Niu; Xin Tan; Tongzhi Niu (Knowl. Based Syst., 2024)

A-Net: An A-Shape Lightweight Neural Network for Real-Time Surface Defect Segmentation. - Biao Chen; Tongzhi Niu; Wenyong Yu; Ruoqi Zhang; Zhenrong Wang; Bin Li 026 (IEEE Trans. Instrum. Meas., 2024)

A novel deep learning motivated data augmentation system based on defect segmentation requirements. - Shuanlong Niu; Yaru Peng; Bin Li 026; Yuanhong Qiu; Tongzhi Niu; Weifeng Li (J. Intell. Manuf., 2024)