| Robust multinomial logistic regression based on RPCA M Yin, D Zeng, J Gao, Z Wu, S Xie IEEE Journal of Selected Topics in Signal Processing 12 (6), 1144-1154, 2018 | 34 | 2018 |
| Scalable spectral ensemble clustering via building representative co-association matrix Y Liang, Z Ren, Z Wu, D Zeng, J Li Neurocomputing 390, 158-167, 2020 | 14 | 2020 |
| A deep reinforcement learning based approach for AGVs path planning X Guo, Z Ren, Z Wu, J Lai, D Zeng, S Xie 2020 Chinese automation congress (CAC), 6833-6838, 2020 | 13 | 2020 |
| EU‐Net: A novel semantic segmentation architecture for surface defect detection of mobile phone screens J Pan, D Zeng, Q Tan, Z Wu, Z Ren IET Image Processing 16 (10), 2568-2576, 2022 | 9 | 2022 |
| Sparse subspace clustering with jointly learning representation and affinity matrix M Yin, Z Wu, D Zeng, P Li, S Xie Journal of the Franklin Institute 355 (8), 3795-3811, 2018 | 9 | 2018 |
| Labeled-robust regression: Simultaneous data recovery and classification D Zeng, Z Wu, C Ding, Z Ren, Q Yang, S Xie IEEE Transactions on Cybernetics 52 (6), 5026-5039, 2020 | 7 | 2020 |
| Data Representation and Clustering with Double Low-Rank Constraints H He, D Zeng, C Ding, Z Wu International Conference on Neural Information Processing, 79-91, 2022 | 3 | 2022 |
| EEE-Net: Efficient Edge Enhanced Network for Surface Defect Detection of Glass Y Chen, J Pan, J Lei, D Zeng, Z Wu, C Chen IEEE Transactions on Instrumentation and Measurement, 2023 | 1 | 2023 |
| Optimal Mean Linear Classifier via Weighted Nuclear Norm and L2,1 Norm D ZENG, Z LIANG, Z WU 电子与信息学报 44 (5), 1602-1609, 2022 | 1 | 2022 |
| A new representation for data: Sparse and low-rank J Sun, Z Wu, D Zeng, Z Ren 2018 Chinese Automation Congress (CAC), 1477-1482, 2018 | 1 | 2018 |
| Face recognition via optimal mean robust linear discriminant analysis D Zeng, Z Wu, Z Ren, Z Liang, S Xie 2018 Chinese Automation Congress (CAC), 1504-1509, 2018 | 1 | 2018 |
| Robust Regression with Nonconvex Schatten p-Norm Minimization D Zeng, M Yin, S Xie, Z Wu International Conference on Neural Information Processing, 498-508, 2018 | 1 | 2018 |
| Segment Anything Model for Industrial Vision: A Comprehensive Evaluation with a New Metric, a New Dataset, and a Toolbox X Zhong, C Hu, J Xie, J Yi, Y Zhou, D Zeng, L Zhou, K Chen, W Liu, Z Wu | | 2024 |
| Tensor schatten-p norm guided incomplete multi-view self-representation clustering W Liu, X Jing, D Zeng, T Zhang Knowledge-Based Systems, 111733, 2024 | | 2024 |
| Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm D Zeng, C Ding, Z Wu, X Zhong, W Liu Knowledge-Based Systems 286, 111392, 2024 | | 2024 |
| Multi-Channel Knowledge Distillation via Efficient Feature Fusion Module for Anomaly Segmentation Y Zhou, Z Huang, D Zeng, Z Wu 2023 China Automation Congress (CAC), 7513-7518, 2023 | | 2023 |
| Data representation learning via dictionary learning and self-representation D Zeng, J Sun, Z Wu, C Ding, Z Ren Applied Intelligence 53 (22), 26988-27000, 2023 | | 2023 |
| A fusion representation for face learning by low-rank constrain and high-frequency texture components Z Liang, D Zeng, S Guo, J Li, Z Wu Pattern Recognition Letters 155, 48-53, 2022 | | 2022 |
| Detection of Mobile Phone Screen Defect Based on Faster R-CNN Fusion Model Z Chen, Y Zha, Z Wu, D Zeng 2021 China Automation Congress (CAC), 6601-6606, 2021 | | 2021 |
| Scalable Robust Spectral Ensemble Clustering Y Liang, Z Ren, Z Wu, D Zeng, J Li 2019 Chinese Control Conference (CCC), 7600-7605, 2019 | | 2019 |
Zhigang RenAssociate Professor, School of Automation, Guangdong University of TechnologyVerified email at gdut.edu.cn
