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ORCIDJie Sun 0019
Person information
- affiliation: Northeastern University, State Key Laboratory of Rolling and Automation, Shenyang, China
Other persons with the same name
- Jie Sun — disambiguation page
- Jie Sun 0001
![[0000-0001-5611-1672]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5611-1672")
— Curtin University, School of EECMS, Perth, Australia (and 2 more) - Jie Sun 0002 — School of Economics and Management, Zhejiang Normal University (and 1 more)
- Jie Sun 0003 — Ningbo University of Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jie Sun 0004 — Georgia Institute of Technology, Atlanta, GA, USA
- Jie Sun 0006 — Axis Semiconductor (and 1 more)
- Jie Sun 0007 — Northwestern University, Evanston, IL, USA (and 1 more)
- Jie Sun 0008 — Warwick University, Manufacturing Group, UK (and 1 more)
- Jie Sun 0009 — Zhejiang University of Finance and Economics
- Jie Sun 0010 — Tsinghua University, Department of Mechanical Engineering, China
- Jie Sun 0011 — National University of Singapore, Department of Mechanical Engineering, Singapore
- Jie Sun 0012 — Fuzhou University, Fuzhou, China (and 2 more)
- Jie Sun 0013 — Tianjin Polytechnic University, School of Computer Science and Software Engineering, China
- Jie Sun 0014 — University of Clermont Auvergne, France
- Jie Sun 0015 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Jie Sun 0016 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China (and 1 more)
- Jie Sun 0017 — Zhejiang University, College of Computer Science, Hangzhou, China
- Jie Sun 0018 — Tongji University, Key Laboratory of Road and Traffic, Shanghai, China
- Jie Sun 0020 — Southeast University, National ASIC System Engineering Research Center, Nanjing, China
- Jie Sun 0021 — Wenzhou Medical University, School of Biomedical Engineering, China (and 2 more)
- Jie Sun 0022 — City University of Hong Kong, State Key Laboratory of Terahertz and Millimeter Wave
- Jie Sun 0023 — Shandong University, Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Department of Mechanical Engineering, Jinan, China (and 1 more)
- Jie Sun 0024 — Xi'an Jiaotong-Liverpool University, School of Advanced Technology, Department of Mechatronics and Robotics, Suzhou, China
- Jie Sun 0025 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Jie Sun 0026 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Jie Sun 0027 — Zhejiang A&F University, College of Arts and Design, Hangzhou, China (and 1 more)
- Jie Sun 0028 — Taiyuan University of Technology, College of Computer Science and Technology, China
- Jie Sun 0029 — China University of Geosciences, School of Geography and Information Engineering, Wuhan, China (and 1 more)
- Jie Sun 0030 — University of Science and Technology of China, Hefei, China
- Jie Sun 0031 — Nanjing Xiaozhuang University, School of Information Engineering, China (and 1 more)
- Jie Sun 0032 — Sichuan University, School of Mathematics, Chengdu, China
- Jie Sun 0033 — Guizhou University, State Key Laboratory of Public Big Data, Guiyang, China
- Jie Sun 0034 — Zhejiang Gongshang University, Hangzhou, China
- Jie Sun 0035 — Zhongguancun Laboratory, Beijing, China
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2020 – today
- 2026
[j26]Qinglong Wang, Entuo Li, Shihao Cui, Wengang Yang, Xinchun Zhang, Wenqiang Jiang, Yunjian Hu, Wen Peng, Jie Sun:
Cross-scale recognition of dense insulators and defects in complex power grid environments. Eng. Appl. Artif. Intell. 164: 113283 (2026)- [j25]Qinglong Wang, Changyu Yang, Jianhua Du, Na Li, Jian Wang, Huilong Han, Yunjian Hu, Wen Peng, Jie Sun:
Adversarial attack-defense framework for enhancing the robustness of power insulator detection in cloud-edge deployment. Eng. Appl. Artif. Intell. 166: 113625 (2026) - [j24]Shuzong Chen, Tiantian Fu, Jun Song, Xiaoyu Wang, Minghan Qi, Changchun Hua, Jie Sun:
A lightweight semi-supervised distillation framework for hard-to-detect surface defects in the steel industry. Expert Syst. Appl. 297: 129489 (2026) - 2025
- [j23]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Physics-informed generative regression for industrial process modeling in steel strip rolling. Expert Syst. Appl. 282: 127713 (2025) - [j22]Shuzong Chen, Shengquan Jiang, Xiaoyu Wang, Ke Ye, Jie Sun, Changchun Hua:
A high-precision and real-time lightweight detection model for small defects in cold-rolled steel. J. Real Time Image Process. 22(1): 30 (2025) - [c2]Yehui Qin, Chengyan Ding, Jie Sun, Wen Peng, Xudong Li, Xingfang Zhao, Jifei Deng, Valeriy Vyatkin:
Self-Training Collaborative Sample Pruning Method for Hot-Rolled Strip Crown Imbalance Diagnosis. INDIN 2025: 1-7 - 2024
- [j21]Wen Peng, Jiawei Lei, Cheng-Yan Ding, Chongxiang Yue, Gengsheng Ma, Jie Sun, Dianhua Zhang:
A novel deep ensemble reinforcement learning based control method for strip flatness in cold rolling steel industry. Eng. Appl. Artif. Intell. 134: 108695 (2024) - [j20]Qinglong Wang, Yongjian Li, Shihao Cui, Na Li, Xinchun Zhang, Wenqiang Jiang, Wen Peng, Jie Sun:
Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods. Eng. Appl. Artif. Intell. 136: 109078 (2024) - [j19]Shuzong Chen, Shengquan Jiang, Xiaoyu Wang, Pu Sun, Changchun Hua, Jie Sun:
An efficient detector for detecting surface defects on cold-rolled steel strips. Eng. Appl. Artif. Intell. 138: 109325 (2024) - [j18]Qinglong Wang, Jie Sun, Yunjian Hu, Wenqiang Jiang, Xinchun Zhang, Zhangqi Wang:
Deep learning-based flatness prediction via multivariate industrial data for steel strip during tandem cold rolling. Expert Syst. Appl. 237(Part C): 121777 (2024) - [j17]Zhen-Lei Ma, Xiao-Jian Li, Jie Sun:
A data-driven fault detection approach for unknown large-scale systems based on GA-SVM. Inf. Sci. 658: 120023 (2024) - [j16]Cheng-Yan Ding, Jun-Cheng Ye, Long-Jun Wang, Jun-Xiang Cai, Wen Peng, Jie Sun, Dianhua Zhang:
A novel cost-sensitive quality determination framework in hot rolling steel industry. Inf. Sci. 678: 121054 (2024) - [c1]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Dynamic Modeling of Strip Rolling Process Using Probabilistic Neural Network. AMC 2024: 1-6 - 2023
- [j15]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Mass customization with reinforcement learning: Automatic reconfiguration of a production line. Appl. Soft Comput. 145: 110547 (2023) - [j14]Yafeng Ji, Lebao Song, Hao Yuan, Huaying Li, Wen Peng, Jie Sun:
Prediction of strip section shape for hot-rolled based on mechanism fusion data model. Appl. Soft Comput. 146: 110670 (2023) - [j13]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Offline reinforcement learning for industrial process control: A case study from steel industry. Inf. Sci. 632: 221-231 (2023) - [j12]Qi He, Jie Sun, Xiao-Jian Li:
False Data Injection Attack Detection Based on Redundant Sparse Reconstruction. IEEE Trans. Serv. Comput. 16(6): 4012-4024 (2023) - 2022
- [j11]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Reinforcement learning for industrial process control: A case study in flatness control in steel industry. Comput. Ind. 143: 103748 (2022) - [j10]Jifei Deng, Jie Sun, Wen Peng, Dian-hua Zhang, Valeriy Vyatkin:
Imbalanced multiclass classification with active learning in strip rolling process. Knowl. Based Syst. 255: 109754 (2022) - [j9]Jie Sun, He Liu, Xiao-Jian Li:
Fault Detection and Isolation for a Class of Nonlinear Systems Based on Gerschgorin Theorem and Optimization Approach. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5591-5601 (2022) - 2020
- [j8]Huaitao Shi, Jin Guo, Xiaotian Bai, Lei Guo, Zhenpeng Liu, Jie Sun:
Gearbox Incipient Fault Detection Based on Deep Recursive Dynamic Principal Component Analysis. IEEE Access 8: 57646-57660 (2020) - [j7]Cheng-Qian Liu, Xiao-Jian Li, Yue Long, Jie Sun:
Output feedback secure control for cyber-physical systems against sparse sensor attacks. Appl. Math. Comput. 384: 125384 (2020) - [j6]Xing Lu, Jie Sun, Zhixin Song, Guangtao Li, Zhenhua Wang, Yunjian Hu, Qinglong Wang, Dian-hua Zhang:
Prediction and analysis of cold rolling mill vibration based on a data-driven method. Appl. Soft Comput. 96: 106706 (2020) - [j5]Rui Meng, Shuzong Chen, Changchun Hua, Junlei Qian, Jie Sun:
Disturbance observer-based output feedback control for uncertain QUAVs with input saturation. Neurocomputing 413: 96-106 (2020)
2010 – 2019
- 2019
- [j4]Jifei Deng, Jie Sun, Wen Peng, Yaohui Hu, Dian-hua Zhang:
Application of neural networks for predicting hot-rolled strip crown. Appl. Soft Comput. 78: 119-131 (2019) - [j3]Zhenhua Wang, Gengsheng Ma, Dianyao Gong, Jie Sun, Dian-hua Zhang:
Application of Mind Evolutionary Algorithm and Artificial Neural Networks for Prediction of Profile and Flatness in Hot Strip Rolling Process. Neural Process. Lett. 50(3): 2455-2479 (2019) - [j2]Huaitao Shi, Lei Guo, Shuai Tan, Gang Li, Jie Sun:
Improved Parallax Image Stitching Algorithm Based on Feature Block. Symmetry 11(3): 348 (2019) - [j1]Huaitao Shi, Gang Li, Xin Ma, Jie Sun:
Research on Nonlinear Coupling Anti-Swing Control Method of Double Pendulum Gantry Crane Based on Improved Energy. Symmetry 11(12): 1511 (2019)
Coauthor Index
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