曹昱栋，工程博士，南京航空航天大学人工智能学院上岗副研究员，隶属于天地一体频谱认知智能实验室认知智能创新中心，电磁频谱空间认知动态系统工信部重点实验室和直升机动力学全国重点实验室研究成员。东南大学与新加坡国立大学联培博士（导师：贾民平教授、Prof. Zhisheng Ye）。主要从事低空装备智能运维与健康管理、低空装备大数据大模型与具身智能、数字孪生与可靠性工程等方面的研究工作。近5年在期刊和会议上共发表一作论文14篇，其中包括SCI论文12篇，EI收录论文2篇，谷歌学术引用超1800次，入选ESI前1%高被引论文4篇。2025年入选美国斯坦福大学发布的全球前2%顶尖科学家榜单。担任IEEE TNNLS、IEEE TCYB、IEEE TSMC、IEEE TII、IEEE TIE、IEEE ASME、IEEE IOT、IEEE TIM、MSSP、RESS、ADVEI、KBS、ESWA和机械工程学报等多个期刊审稿人。

招收2026年入学的硕士研究生（含推免），欢迎感兴趣的同学联系！！！

谷歌学术主页：https://scholar.google.com/citations?user=wCD2yBYAAAAJ&hl=en

Researchgate主页：https://www.researchgate.net/profile/Yudong-Cao-5

近年来学术成果：

本人一作：

[1]. Cao Yudong, Jia Minping*, Ding Peng, Zhao Xiaoli, Ding Yifei. Incremental learning for remaining useful life prediction via temporal cascade broad learning system with newly acquired data[J]. IEEE Transactions on Industrial Informatics, 2022, 168: 108616. (中科院1区, JCR: Q1, TOP期刊, IF: 11.7)

[2]. Cao Yudong, Ni Qing, Jia Minping*, Zhao Xiaoli, Yan Xiaoan. Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment[J]. IEEE Internet of Things Journal. (中科院1区, JCR: Q1, TOP期刊, IF: 8.2)

[3]. Cao Yudong, Jia Minping*, Ding Yifei, Zhao Xiaoli, Ding Peng, Gu Liudong. Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery[J]. Mechanical Systems and Signal Processing, 2023, 192, 110190. (中科院1区, JCR: Q1, TOP期刊, IF: 7.9)

[4]. Cao Yudong, Jia Minping*, Zhao Xiaoli, Yan Xiaoan, Liu Zheng. Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data[J]. Expert Systems with Applications, 2023, 222, 119824. (中科院1区, JCR: Q1, TOP期刊, IF: 7.5) 

[5]. Cao Yudong, Jia Minping*, Zhao Xiaoli, Yan Xiaoan, Feng Ke. Cost-sensitive Learning Considering Label and Feature Distribution Consistency: A Novel Perspective for Health Prognosis of Rotating Machinery with Imbalanced Data[J]. Expert Systems with Applications, 2024, 250, 123930. (中科院1区, JCR: Q1, TOP期刊, IF: 7.5) 

[6]. Cao Yudong, Ding Yifei, Jia Minping*, Tian Rushuai. A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings[J]. Reliability Engineering & System Safety, 2021, 215, 107813. (中科院1区, JCR: Q1, TOP期刊, IF: 9.4,  入选ESI高被引论文)

[7]. Cao Yudong, Jia Minping*, Zhao Xiaoli, Yan Xiaoan, Feng Ke. Complex Augmented Representation Network for Transferable Health Prognosis Considering Dynamic Covariate Shift[J]. Reliability Engineering & System Safety, 2024, 241,109692. (中科院1区, JCR: Q1, TOP期刊, IF: 9.4)

[8]. Cao Yudong, Zhuang Jichao, Miao Qiuhua, Jia Minping*, Feng Ke, Zhao Xiaoli, Yan Xiaoan, Ding Peng. Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence [J]. Reliability Engineering & System Safety, 2024, 246, 110079. (中科院1区, JCR: Q1, TOP期刊, IF: 9.4)

[9]. Cao Yudong, Zhuang Jichao, Jia Minping*, Xiaoli Zhao, Yan Xiaoan, Liu Zheng. Picture-In-Picture Strategy Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery[J]. IEEE Transactions on Instrumentation and Measurement, 2023. (中科院2区, JCR: Q1, IF: 5.6)

[10]. Cao Yudong, Jia Minping*, Ding Peng, Ding Yifei. Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network[J]. Measurement, 2021, 178, 109287. (中科院2区, JCR: Q1, IF: 5.2, 入选ESI高被引论文)

[11]. Cao Yudong, Jia Minping*, Zhuang Jichao, Zhao Xiaoli. Research on sparsity measures for rotating machinery health monitoring[J]. Journal of Mechanical Science and Technology, 2022, 36 (12), 5831-5843. (中科院4区, JCR: Q4, IF: 1.5)

[12]. Cao Yudong, Jia Minping*. BiGRU with temporal pattern attention for health indexes prediction of rolling bearings[C]//2022 Global Reliability and Prognostics and Health Management (PHM-Yantai). IEEE, 2022: 1-5. (EI检索, IEEE会议)

[13]. Cao Yudong, Jia Minping*, Zhuang Jichao. Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach[C]//2023 10th International Conference on Dependable Systems and Their Applications (DSA). IEEE, 2023: 554-558. (EI检索, IEEE会议)

部分合作：

[1]. Ding Yifei, Jia Minping*, Cao Yudong, Zhao Xiaoli, Yan Xiaoan, Chi-Cuhn Lee. Unsupervised Fault Detection with Deep One-Class Classification and Manifold Distribution Alignment[J]. IEEE Transactions on Industrial Informatics, 2023. (中科院1区, JCR: Q1, TOP期刊, IF: 12.3)

[2]. Ding Yifei, Cao Yudong, Jia Minping*, Ding Peng, Zhao Xiaoli, Lee Chi-Guhn. Deep temporal-spectral domain adaptation for bearing fault diagnosis[J]. Knowledge-Based Systems, 2024, 111999. (中科院1区, JCR: Q1, TOP期刊, IF: 8.8)

[3]. Zhuang Jichao, Cao Yudong, Jia Minping*, Zhao Xiaoli, Peng Qingjin. Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss[J]. Expert Systems with Applications, 2023, 226, 120274. (中科院1区, JCR: Q1, TOP期刊, IF: 8.5)

[4]. Zhuang Jichao, Cao Yudong, Jia Minping*, Zhao Xiaoli, Peng Qingjin. Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions[J]. Expert Systems with Applications, 2023, 227, 120276. (中科院1区, JCR: Q1, TOP期刊, IF: 8.5)

[5]. Zhuang Jichao, Cao Yudong, Ding Yifei, Jia Minping*, Feng Ke. An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information[J]. Engineering Applications of Artificial Intelligence, 2024, 131, 107868. (中科院1区, JCR: Q1, TOP期刊, IF: 8)