邱科鵬
邱科鵬，男，1990年8月出生，廣東茂名人，工學博士，副教授，碩士研究生導師。2014年和2020年先后于北京化工大學信息科學與技術學院獲得測控技術與儀器專業學士學位和控制科學與工程學科博士學位。2020至2022年，在清華大學精密儀器系精密測試技術及儀器全國重點實驗室從事博士后研究工作。2023年8月至今，任教于北京石油化工學院信息工程學院自動化系。
主要從事面向復雜過程的智能軟測量和智能監控、結構光三維重建技術等方面的研究工作。作為項目負責人承擔北京市教育委員會科研計劃項目1項、企業橫向委托科研項目2項；作為項目骨干參與國家自然科學基金面上項目1項。近年來，在Engineering Applications of Artificial Intelligence、Information Sciences、Expert Systems with Applications等期刊發表學術論文30余篇，其中以第一或通訊作者發表SCI檢索論文11篇，公開或授權國家專利10余項。此外，擔任IEEE Sensors Journal、IEEE Transactions on Instrumentation and Measurement等期刊審稿人。
I. 主要研究工作
1. 工業過程智能監控與故障診斷；
2. 面向復雜過程的智能軟測量；
3. 結構光條紋投影三維重建。
II. 獎勵與榮譽
1. 油氣管網SCADA系統網絡安全關鍵技術及應用, 中國石油和化工自動化應用協會，科技進步獎二等獎（排名4/12），2024年；
2. 長輸油氣管道控制系統智能安全管控關鍵技術及應用, 中國職業安全健康協會，科技進步獎二等獎（排名8/9），2025年；
3. 北京市普通高校本科畢業設計優秀指導教師，2024年；
4. 國家級大學生創新創業訓練計劃重點支持項目指導教師，2024年。
III. 承擔或參與的科研項目
1. 北京市教育委員會科研計劃項目：非完備多模態數據的即時學習軟測量技術研究（項目號：KM202410017005），項目負責人，2024.06-2026.12；
2. 國家自然科學基金面上項目：非規則數據模態分析的間歇過程軟測量方法研究（項目號：61973025），項目骨干，2020.01-2023.12。
3. 企事業單位委托科技項目：北京管道工控安全配套技術服務，項目負責人，2023.09-2023.12。
4. 企事業單位委托科技項目：西南管道SCADA系統國產化替代工程，項目負責人，2023.12-2023.12。
IV. 代表性學術論文
期刊論文
1. Kepeng Qiu*, Baowei Rong, Yi Zhu, Yu Liu, Hui Yan, Haijun Cao, Weiwei Wang. Causal-stabilized latent regression for robust industrial soft sensors[J]. Engineering Applications of Artificial Intelligence, 2026, 170: 114185.
2. Kepeng Qiu*, Qingxuan Wei, Weiwei Wang. Generalized collaborative relevance vector regression for soft sensors[J]. Information Sciences, 2025, 686: 121311.
3. Kepeng Qiu*, Baowei Rong, Peiyuan Cong, Zhengyang Qin, Weiwei Wang. Geometric-Temporal Potential Warping for Multidimensional Dynamic Trajectory Alignment in Industrial Processes[J]. Industrial & Engineering Chemistry Research, 2025, 64(29): 14590-14600.
4. Kepeng Qiu*, Jiayu Yang, Baowei Rong, Yu Liu. Qingxuan Wei, Weiwei Wang. Semantic Reconstruction of Multimodal Process Data with Dual Latent Space Constraints[J]. IEEE Sensors Journal, 2024, 24(20): 32782-32981.
5. Kepeng Qiu, Jianlin Wang*, Rutong Wang, Yongqi Guo, Liqiang Zhao. Soft sensor development based on kernel dynamic time warping and a relevant vector machine for unequal-length batch processes[J]. Expert Systems with Applications, 2021, 182: 115223.
6. Kepeng Qiu, Luo Tian, Peng Wang*. Adaptive depth measurement based on adversarial relevance vector regression for fringe projection profilometry[J]. Measurement, 2024, 227: 114209.
7. Kepeng Qiu, Luo Tian, Peng Wang*, Jinku Zhao. A Novel Generalized Adaptive Domain Fusion Framework for Structured Light 3-D Measurement[J]. IEEE Sensors Journal, 2024, 24(3): 3223-3231.
8. Kepeng Qiu, Jianlin Wang*, Xinjie Zhou, Rutong Wang, Yongqi Guo. Soft sensor based on localized semi-supervised relevance vector machine for penicillin fermentation process with asymmetric data[J]. Measurement, 2022, 202: 111823.
9. Kepeng Qiu, Weihong Song, Peng Wang*. Abnormal data detection for industrial processes using adversarial autoencoders support vector data description[J]. Measurement Science and Technology, 2022, 33(5): 055110.
10. Kepeng Qiu, Luo Tian, Peng Wang*. An Effective Framework of Automated Visual Surface Defect Detection for Metal Parts [J]. IEEE Sensors Journal, 2021, 21(18): 20412–20420.
11. Kepeng Qiu, Jianlin Wang*, Xinjie Zhou, Yongqi Guo, Rutong Wang. Soft sensor framework based on semisupervised just-in-time relevance vector regression for multiphase batch processes with unlabeled data[J]. Industrial & Engineering Chemistry Research, 2020, 59(44): 19633-19642.
12. Luo Tian, Kepeng Qiu, Yufeng Zhao, Peng Wang*. Edge Detection of Motion-Blurred Images Aided by Inertial Sensors[J]. Sensors, 2023, 23(16): 7187.
13. Jianlin Wang*, Kepeng Qiu, Rutong Wang, Xinjie Zhou, Yongqi Guo. Development of soft sensor based on sequential kernel fuzzy partitioning and just-in-time relevance vector machine for multiphase batch processes[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-10.
14. Jianlin Wang*, Kepeng Qiu, Yongqi Guo, Rutong Wang, Xinjie Zhou. Soft sensor development based on improved just‐in‐time learning and relevant vector machine for batch processes[J]. The Canadian Journal of Chemical Engineering, 2021, 99(1): 334-344.
15. Jianlin Wang*, Kepeng Qiu, Weimin Liu, Tao Yu, Liqiang Zhao. Unsupervised-multiscale-sequential-partitioning and multiple SVDD model based process-monitoring method for multiphase batch processes [J]. Industrial & Engineering Chemistry Research, 2018, 57(51): 17437-17451.
16. Weiwei Wang, Shukai Zhang, Kepeng Qiu, Xuejun Liu, Xiaodan Li, Ruilian Zhao*. Influencing Factors’ Analysis for the Performance of Parallel Evolutionary Test Case Generation for Web Applications[J]. Journal of Software: Evolution and Process, 2025, 37(2): e2751.
17. Jianlin Wang*, Weimin Liu, Kepeng Qiu, Tao Yu, Liqiang Zhao. Dynamic hypersphere based support vector data description for batch process monitoring[J]. Chemometrics and Intelligent Laboratory Systems, 2018, 172(2018):17-32.
18. Jianlin Wang*, Weimin Liu, Kepeng Qiu, Huan Xiong, Liqiang Zhao. Dynamic hypersphere SVDD without describing boundary for one-class classification[J]. Neural Computing and Applications, 2019, 31(8): 3295-3305.
19. Min Bian, Jianlin Wang*, Weimin Liu, Kepeng Qiu. Robust and reliable estimation via recursive nonlinear dynamic data reconciliation based on cubature Kalman filter[J]. Cluster Computing, 2017, 20(4): 2919-2929.
20. Yongqi Guo, Jianlin Wang*, Xinjie Zhou, Zhenguo Tan, Kepeng Qiu. A Hybrid Framework Based on Warped Hierarchical Tree for Pose Estimation of Texture-Less Objects[J]. IEEE Access, 2020, 8: 179813–179822.
21. Xuesong Fu, Jianlin Wang*, Zhixiong Hu, Yongqi Guo, Kepeng Qiu, Rutong Wang. Anisotropic total variation regularization based NAS-RIF blind restoration method for OCT image[J]. Journal of Beijing Institute of Technology, 2020, 29(2): 146-157.
會議論文
1. Kepeng Qiu, Jianlin Wang*, Xuesong Fu, Yongqi Guo, Jia Pan. Local Kernel Distance-Support Vector Data Description (LKD-SVDD)-based Process Monitoring Method for Multiphase Batch Processes[C]//2019 IEEE 15th International Conference on Control and Automation (ICCA). IEEE, 2019: 301-306.
2. Yongqi Guo, Jianlin Wang*, Kepeng Qiu, Liqiang Zhao, Xuesong Fu, Rutong Wang. Specular reflection separation for a single image using IR-SIP[C]//Proceedings of 2019 Chinese Intelligent Systems Conference: Volume II 15th. Springer Singapore, 2020: 504-512.
3. Huanyu Guo, Jianlin Wang*, Yongqi Guo, Xinjie Zhou, Kepeng Qiu. Multi-scale Visual Saliency Fusing with Spatiotemporal Features for Fire Detection[C]//Proceedings of 2020 Chinese Intelligent Systems Conference: Volume II. Springer Singapore, 2021: 222-231.
4. Pingting Song, Jianlin Wang*, Yongqi Guo, Liqiang Zhao, Kepeng Qiu. Multi-scale Superpixel Based Homomorphic Filtering for the Component Image Enhancement[C]//Proceedings of 2020 Chinese Intelligent Systems Conference: Volume II. Springer Singapore, 2021: 212-221.
V. 發明專利和軟件著作權
1. 王建林, 邱科鵬, 于濤, 趙利強. 一種基于LWPT-DTW的間歇過程不等長時段同步化的方法, 專利號ZL201610976111.5, 授權公告日 2020-01-21.
2. 王建林, 邱科鵬, 潘佳. 一種基于CSJITL-RVM的多時段間歇過程軟測量建模方法, 專利號ZL 201911385350.3, 授權公告日 2023-09-01.
3. 王建林, 熊歡, 邱科鵬, 韓銳, 于濤. 一種基于貝葉斯統計分析的間歇過程模態識別方法, 專利號 ZL 201810476326.X, 授權公告日 2021-10-01.
4. 王建林, 韓銳, 邱科鵬. 一種時序約束模糊聚類的間歇過程多模態劃分方法, 專利號 ZL 201811633128.6, 授權公告日 2021-04-02.
5. 王建林, 黃展超, 邱科鵬. 一種基于DC-SPP-YOLO的圖像目標檢測方法, 專利號 ZL 201811633166.1, 授權公告日 2020-11-20.
6. 王建林, 劉偉旻, 邱科鵬, 韓銳, 趙利強. 一種基于動態超球結構變化的間歇過程測量數據異常檢測方法, 專利號 ZL 201710717362.6, 授權公告日 2019-05-24.
7. 王鵬, 邱科鵬, 田洛. 工業零件三維形貌測量系統, 軟件登記號: 2022SR1495391.
8. 王鵬, 田洛, 邱科鵬. 工業零件圖像去模糊系統, 軟件登記號: 2022SR1561525.
9. 王建林, 魏青軒, 趙利強, 于濤, 邱科鵬. 加速度計測試設備標定系統, 軟件登記號: 2017SR099997.
VI. 招生信息
本人主要招收本人主要招收控制科學與工程（0811）學術學位碩士、電子信息工程（080701）專業學位碩士。誠摯歡迎自動化、電氣工程及其自動化、測控技術與儀器、計算機科學與技術等專業踏實認真、敢于創新的同學加入團隊，尤其歡迎具備良好的算法基礎與編程實踐能力、善于運用前沿智能工具解決實際問題的同學。
