副高级

 姓名：张宇隆
 性别：男
 职称：副教授，硕士生导师
 学位：博士
 电子邮件： zhangyl@fzu.edu.cn
 研究方向：工业缺陷检测，迁移学习，多模态大模型，生成模型
 学术主页： 谷歌学术

教育工作经历

2025.8~至今 福州大学 电气工程与自动化学院(自动化系) 副教授

2020.9~2025.6 浙江大学 控制科学与工程学院 博士

2016.9~2020.6 福州大学 电气工程与自动化学院 学士

科研简介

主持国家自然科学基金青年项目C类，“融合专家知识表征的工业缺陷稀缺样本生成与自适应检测方法研究”，2027-2029

代表性论文

[1] Y. Zhang, Y. Yao, S. Chen, P. Jin, Y. Zhang, J. Jin, J. Lu. Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. International Conference on Machine Learning (ICML 2024). (CCF-A类)

[2] Y. Zhang, Z. Zhu, Y. Wang, P. Guo, Y. Zhu, Z. Xu. Bridging the Species Gap: VLM-Enhanced Asymmetric LoRA Diffusion for Industrial Defect Detection. IEEE Transactions on Industrial Informatics, 2026.

[3] Y Zhu, Y Zhang*, Z Xu, Y Lin, R Wang, H Huang, Y Yuan. An Efficient Wood Defect Segmentation Method for Seen and Unseen Wood Species Based on Domain Generalization. IEEE Transactions on Instrumentation and Measurement, 2026.

[4] Y. Zhang, S. Chen, W. Jiang, Y. Zhang, J. Lu, J. T. Kwok. Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation. Neural Networks, 2025.

[5] Z. Zhuang*, Y. Zhang*, X. Wang, J. Lu, Y. Wei, and Y. Zhang. Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models. Neural Information Processing Systems (NeurIPS 2024). (CCF-A类)

[6] Y. Zhang, Y. Wang, Z. Jiang, F. Liao, L. Zheng, D. Tan, J. Chen, and J. Lu. Diversifying Tire-Defect Image Generation Based on Generative Adversarial Network. IEEE Transactions on Instrumentation and Measurement, 2022.

[7] Z. Chen, Y. Zhang, O. Zhang, F. Wang, L. Yao, H. Wang, Z. Song. Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework. IEEE Transactions on Knowledge and Data Engineering, 2025. (CCF-A类)

[8] Y. Zhang, Y. Wang, Z. Jiang, L. Zheng, J. Chen, and J. Lu. Domain Adaptation via Transferable Swin Transformer for Tire Defect Detection. Engineering Applications of Artificial Intelligence, 2023.

[9] Y. Wang, Y. Zhang*, Y. Zhu, and Z. Xu. A Vision-Based System for Monitoring Scan-Avoidance and Anomalies at Retail Checkouts. Engineering Applications of Artificial Intelligence, 2026.

[10] Y. Zhang, Y. Wang, Z. Jiang, L. Zheng, J. Chen, and J. Lu. Subdomain Adaptation Network with Category Isolation Strategy for Tire Defect Detection. Measurement, 2022.

[11] Y. Zhang, Y. Wang, Z. Jiang, L. Zheng, J. Chen, and J. Lu. Tire Defect Detection by Dual Domain Adaptation-Based Transfer Learning Strategy. IEEE Sensors Journal, 2022.

[12] Y. Zhang, Y. Wang, Z. Jiang, L. Zheng, J. Chen, and J. Lu. A Novel Class-Level Weighted Partial Domain Adaptation Network for Defect Detection. Applied Intelligence, 2023.

[13] Z. Zhuang, X. Wang, W. Li, Y. Zhang, …, and Y. Wei. Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. International Conference on Machine Learning (ICML 2025). (CCF-A类)

* 他引共273次，截止2026年9月

代表性发明专利

[1] 张宇隆，王易文，徐哲壮，饶艳莺，一种基于动态多阶段知识蒸馏模型训练方法、介质和设备，发明专利. 申请号：ZL202610021429.1

[2] 张宇隆，陈金水，卢建刚，基于可迁移Swin Transformer的轮胎瑕疵检测域自适应方法，发明专利. 申请号：ZL202210866420.2

[3] 卢建刚, 张宇隆, 陈金水. 基于自注意力机制与双重领域自适应的轮胎瑕疵检测方法及模型. 发明专利，ZL202111460037.9.

[4] 卢建刚, 张宇隆, 陈金水. 基于多重表示与多重子域自适应的轮胎瑕疵检测方法. 发明专利，ZL202210071489.6.

[5] 徐哲壮, 张宇隆, 王荣凯, 刘安国. 基于多邻居节点RSSI差异的移动设备邻近无线节点的估计方法. 发明专利，ZL201910187929.2.

获奖情况

[1] 2025年 浙江大学优秀毕业生

[2] 2021-2025年 浙江大学优秀研究生

[3] 2019年 国家奖学金

[4] 2019年 福州大学十佳大学生

[5] 2020年 福州大学优秀毕业生

学术服务

Artificial Intelligence, International Conference on Machine Learning (ICML), Neural Information Processing Systems (NeurIPS), IEEE Transactions on Instrumentation and Measurement (TIM), Engineering Applications of Artificial Intelligence (EAAI)等期刊审稿人

实验室纳新

欢迎本科生与研究生加入课题组，希望招收对工业缺陷检测、深度学习、机器视觉感兴趣，积极进取、对科研感兴趣、编程能力强的同学