| Diversifying tire-defect image generation based on generative adversarial network Y Zhang, Y Wang, Z Jiang, F Liao, L Zheng, D Tan, J Chen, J Lu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 36 | 2022 |
| Unsupervised learning with generative adversarial network for automatic tire defect detection from X-ray images Y Wang, Y Zhang, L Zheng, L Yin, J Chen, J Lu Sensors 21 (20), 6773, 2021 | 24 | 2021 |
| Domain adaptation via Transferable Swin Transformer for tire defect detection Y Zhang, Y Wang, Z Jiang, L Zheng, J Chen, J Lu Engineering Applications of Artificial Intelligence 122, 106109, 2023 | 17 | 2023 |
| Tire defect detection by dual-domain adaptation-based transfer learning strategy Y Zhang, Y Wang, Z Jiang, L Zheng, J Chen, J Lu IEEE Sensors Journal 22 (19), 18804-18814, 2022 | 15 | 2022 |
| Subdomain adaptation network with category isolation strategy for tire defect detection Y Zhang, Y Wang, Z Jiang, L Zheng, J Chen, J Lu Measurement 204, 112046, 2022 | 10 | 2022 |
| Domain-guided conditional diffusion model for unsupervised domain adaptation Y Zhang, S Chen, W Jiang, Y Zhang, J Lu, JT Kwok Neural Networks 184, 107031, 2025 | 8 | 2025 |
| Prototype-based supervised contrastive learning method for noisy label correction in tire defect detection Y Wang, Y Zhang, Z Jiang, L Zheng, J Chen, J Lu IEEE Sensors Journal 24 (1), 660-670, 2023 | 6 | 2023 |
| Robust learning against label noise based on activation trend tracking Y Wang, Y Zhang, Z Jiang, L Zheng, J Chen, J Lu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 4 | 2022 |
| Large Language Models as Visual Cross-Domain Learners S Chen*, Y Zhang*, W Jiang, J Lu, Y Zhang arXiv preprint arXiv:2401.03253, 2024 | 3 | 2024 |
| Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective Y Zhang, Y Yao, S Chen, P Jin, Y Zhang, J Jin, J Lu Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| A novel class-level weighted partial domain adaptation network for defect detection Y Zhang, Y Wang, Z Jiang, L Zheng, J Chen, J Lu Applied Intelligence 53 (20), 23083-23096, 2023 | 2 | 2023 |
| Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models Z Zhuang*, Y Zhang*, X Wang, J Lu, Y Wei, Y Zhang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1 | 2024 |
| CopRA: A Progressive LoRA Training Strategy Z Zhuang, X Wang, Y Zhang, W Li, Y Zhang, Y Wei UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 2024 | | 2024 |
| Diffusion-based Target Sampler for Unsupervised Domain Adaptation Y Zhang, S Chen, Y Zhang, J Lu arXiv preprint arXiv:2303.12724, 2023 | | 2023 |
| Variational Tire Defect Image Generation Based on Generative Adversarial Network Y Zhang, D Tan, Z Jiang, L Zheng, F Liao, Y Wang, J Chen, J Lu 第 32 届中国过程控制会议 (CPCC2021) 论文集, 2021 | | 2021 |
| Anomaly Detection Algorithm of Tire Defect Based on X-ray Image Reconstruction Residual Y Wang, L Yin, Z Jiang, F Liao, L Zheng, Y Zhang, J Chen, J Lu 第 32 届中国过程控制会议 (CPCC2021) 论文集, 2021 | | 2021 |
| Exploiting RSSI Difference among Multiple Neighbors to Improve Face-to-Machine Proximity Estimation in Industrial Human Machine Interaction Y Zhang, Z Xu, A Liu, R Wang, J Huang 2019 3rd International Symposium on Autonomous Systems (ISAS), 278-282, 2019 | | 2019 |
Yu ZhangAssociate Professor, Southern University of Science and TechnologyПодтвержден адрес электронной почты в домене sustech.edu.cn