权伟

副教授

学历:研究生(博士后)

学位:工学博士学位

办公地点:西南交通大学电气工程学院X10926

主要任职:教学科研

其他任职:联合实验室主任、国家工程实验室研究员

毕业院校:西南交通大学

所在单位:电气工程学院

其他联系方式:

邮编:

通讯/办公地址:

办公室电话:

邮箱:

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

学术论文(部分)

[1] Wei Quan, K. Feng, X. Lu, etc. A State Recognition Method of Isolation Switch in Traction Substation Based on Key Components Detection and Geometric Ranging. Neural Processing Letters. 2022, Published Online. (SCI)

[2] X. Lu, Wei Quan, S. Gao, et al. A Segmentation-Based Multitask Learning Approach for Isolating Switch State Recognition in High-Speed Railway Traction Substation. IEEE Transactions on Intelligent Transportation Systems. 2022, Early Access. (SCI)

[3] X. Lu, Wei Quan, S. Gao, et al. An Outdoor Support Insulator Surface Defects Segmentation Approach via Image Adversarial Reconstruction in High-Speed Railway Traction Substation. IEEE Transactions on Instrumentation & Measurement. 2022, Early Access. (SCI)

[4] Wei Quan, T. Li, N. Zhou, et al. Visual Tracking with Multilayer Filter Fusion Network. Multimedia Tools and Applications, Springer. 2020, 80: 6493–6506. (SCI)

[5] Wei Quan, T. Li, S. Gao, et al. Visual Tracking with Multiple Hough Detectors. Image and Vision Computing, Elsevier. 2017, 66: 15-25. (SCI)

[6] Wei Quan, Z. Liu, J. Chen, et al. Adaptive Relay Detection Using Primary and Auxiliary Detectors for Tracking. Multimedia Tools and Applications, Springer. 2017, 76: 24299–24313. (SCI)

[7] Wei Quan, Y. Jiang, J. Zhang, et al. Robust Object Tracking with Active Context Learning. The Visual Computer, Springer, 2015, 31(10): 1307-1318. (SCI)

[8] Wei Quan, J. Chen, and N. Yu. Robust Object Tracking using Enhanced Random Ferns. The Visual Computer, Springer, 2014, 30(4): 351-358. (SCI)

[9] Wei Quan, J. Chen, and N. Yu. Adaptive Collaborative Tracking for Multiple Targets. Measurement Science and Technology, IOP, 2012, 23(12): 125407. (SCI)

[10] Wei Quan, Y. Liu, X. Lu, et al. Robust Visual Tracking Using Multiple Detectors by Trajectory Entropy Minimization. IWAACE. 2018. (EI)

[11] Wei Quan, J. Chen, and N. Yu. Mesh-Shrink: Real-Time Fast Moving Object Tracking with Sporadic Occlusion. ICIMT 2012. (EI)

[12] G. Lin, X. Fu, Wei Quan, et al. Improved fault location method for AT traction power network based on EMU load test. Railway Engineering Science. 2022. (SCI)

[13] G. Lin, Wei Quan, and X. Tong. Fault Location Scheme for Over-Zone Feeding Operation Condition on High-Speed Railway. Journal of Electrical Engineering & Technology. 2022. (SCI)

[14] P. Song, H. Zhao, X. Zeng, Wei Quan, et al. Robust time-varying parameter proportionate affine-projection-like algorithm for sparse system identification. Circuits, Systems, and Signal Processing, 2021, 40: 3395–3416. (SCI)

[15] X. Yang, N. Zhou, Y. Liu, Wei Quan, et al. Online Pantograph-Catenary Contact Point Detection in Complicated Background Based on Multiple Strategies. IEEE Access. 2020. (SCI)

[16] D. Liang, A.P. Darko, Z. Xu, and Wei Quan. The Linear assignment method for multi-criteria group decision making based on interval-valued pythagorean fuzzy bonferroni mean. International Journal of Intelligent Systems, 2018. (SCI)

[17] D. Liang, D. Liu, and Wei Quan. Information Aggregation of Hesitant Fuzzy Interval Sets for Multi-criteria Decision Making. IEEE Computing in Science & Engineering, 2018, 20(2):38-51. (SCI)

[18] W. He, Z. Li, S. Yang, and Wei Quan. SV-FVDM: A Synthetic Vision based Full Velocity Difference Model for Interactive Traffic Simulation. IEEE Computing in Science & Engineering, 2018. (SCI)

[19] D. Liang, A. Kobina, and Wei Quan. Grey Relational Analysis Method for Probabilistic Linguistic Multi-criteria Group Decision Making Based on Geometric Bonferroni Mean. International Journal of Fuzzy System, 2017, (1): 1-11. (SCI

[20] Z. Hua, X. Chen, and Wei Quan. Track Section Occupancy Detection Model Based on Infrared Ray Sensor and Time-Series Change Rate Matching. IEEE Sensors Journal, 2016, 16(4): 1079-1087. (SCI)

[21] L. Yang, T. Zhang, J. Chen, P. Dai, Wei Quan, et al. Motion Simulation of the Inner Hair Cell Stereocilia. IEEE Computing in Science and Engineering, 2013, 15(2): 27-33. (SCI)

[22] Z. Wu, X. Chen, S. Zhu, Z. Zhou, Y. Yao, Wei Quan, et al. Enhanced sensitivity of ammonia sensor using graphene/polyaniline nanocomposite. Sensors and Actuators B, 2013, 178: 485-493. (SCI)

[23] Z. Wu, X. Chen, S. Zhu, Z. Zhou, Y. Yao, Wei Quan, et al. A Room Temperature Methane Sensor Based on Graphene Nanosheets/Polyaniline Nanocomposite Thin Film. IEEE Sensors Journal, 2013, 13(2): 777-782. (SCI)

[24]M. Xiang, X. Lu, Wei Quan, et al. Visual Detection Algorithm of Foreign Object Intrusion in High-Speed Railway Traction Substation Based on Patch Clustering Learning. IEEE-ICSP 2022. (EI)

[25] Y. Peng, X. Lu, Wei Quan, et al. Adversarial Reconstruction for Outdoors Insulator Anomaly Detection and Recognition in High-Speed Railway Traction Substation. IEEE-ICSP. 2021. (EI)

[26] D. Zheng, X. Lu, Wei Quan, et al. Two-Stage Detection Method of Rigid Pantograph Catenary Contact Points Using DCNNS. ISPECE. 2020. (EI)

[27] X. Lu, Wei Quan, etc. An Anomaly Detection Mehod For Outdoors Insulator in High-Speed Railway Traction Substation. CVIV. 2020. (EI)

[28] Y. Wang, Wei Quan, etc. Anomaly Detection of Pantograph Based on Salient Segmentation and Generative Adversarial Networks.  IEEE-ICSP. 2020. (EI)

[29] Y. Liu, Wei Quan, etc. A Coarse-to-Fine Dection Method of Pantograph-Catenary Contact Points Using DCNNs. IFAC. 2019. (EI)

[30] G. Lin, N. Chen, Wei Quan, et al. Correction Scheme and Error Analysis of Compound Fault Location in Direct Power Supply Mode of High-speed Railway Traction Network. EITRT 2019. (EI)

[31] 权伟, 陈锦雄, 余南阳. 在线学习多重检测的可视对象跟踪方法. 电子学报, 2014, 42(5): 875-882. (EI)

[32] 权伟, 陈锦雄, 江永全, 余南阳. 基于霍夫蕨的实时对象跟踪方法. 西南交通大学学报, 2014, 49(3): 477-484. (EI)

[33] 权伟, 陈锦雄, 江永全, 余南阳, 邢琪. 基于分层检测的人体膝关节前交叉韧带定位方法. 计算机辅助设计与图形学学报, 2013, 25(12): 1862-1867. (EI)

 

 

 

 

 

 

 


报考该导师研究生的方式

欢迎你报考权伟老师的研究生,报考有以下方式:

1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择权伟老师,你的所有申请信息将发送给权伟老师,老师看到后将和你取得联系,点击此处参加夏令营活动

2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请权伟老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为权伟老师,老师看到信息后将和你取得联系,点击此处推免生预报名

3、参加全国硕士研究生统一招生考试报考权伟老师招收的专业和方向,进入复试后提交导师意向时选择权伟老师。

4、如果你有兴趣攻读权伟老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。

点击关闭