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2020 – today
- 2024
[j16]Yong Xu
, Yongfeng Zhu, Zhiyong Song:
A New Extended Target Detection Method Based on the Maximum Eigenvalue of the Hermitian Matrix. Remote. Sens. 16(9): 1488 (2024)- [j15]Yongfeng Zhu, Zilong Wang, Jie Yang, Zhiwen Zhang:
Evaluating performance of innovation resource allocation in industrial enterprises: an improved two-stage DEA model. Technol. Anal. Strateg. Manag. 36(10): 2624-2646 (2024) - 2023
- [j14]Yongfeng Zhu, Zilong Wang, Jie Yang:
Applying an improved three-stage DEA model to evaluate the innovation resource allocation efficiency in industrial enterprises. Kybernetes 52(12): 6417-6439 (2023) - [j13]Xin Li, Jiemin Hu, Bo Zou, Yongfeng Zhu, Zhiyong Song:
Bistatic Radar Cooperative Imaging Based on Complementary Random Waveform. Sensors 23(5): 2577 (2023) - 2021
- [j12]Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu:
Recent advances in multisensor multitarget tracking using random finite set. Frontiers Inf. Technol. Electron. Eng. 22(1): 5-24 (2021) - [c5]Yongfeng Zhu, Kai Da, Ye Yang, Qiang Fu:
Multiple Active False Target Suppression Based on Distributed GM-PHD Filter. ICCAIS 2021: 1053-1057 - 2020
- [j11]Kai Da, Tiancheng Li, Yongfeng Zhu, Qiang Fu:
A Computationally Efficient Approach for Distributed Sensor Localization and Multitarget Tracking. IEEE Commun. Lett. 24(2): 335-338 (2020) - [j10]Ting Xu, Jun Ouyang, Junbiao Hu, Yongfeng Zhu, Huiling Wu, Guoping Dai, Yaomin Shu, Xiaowen Du:
Diagnosis of Benign and Malignant Renal Tumors Based on Multi-Feature Sparse Constraints. J. Medical Imaging Health Informatics 10(11): 2557-2563 (2020) - [j9]Kai Da, Tiancheng Li, Yongfeng Zhu, Qiang Fu:
Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views. IEEE Trans. Signal Inf. Process. over Networks 6: 605-616 (2020)
2010 – 2019
- 2019
- [j8]Wei Zhang, Yongfeng Zhu, Qiang Fu:
Adversarial Deep Domain Adaptation for Multi-Band SAR Images Classification. IEEE Access 7: 78571-78583 (2019) - [j7]Wei Zhang, Yongfeng Zhu, Qiang Fu:
Semi-Supervised Deep Transfer Learning-Based on Adversarial Feature Learning for Label Limited SAR Target Recognition. IEEE Access 7: 152412-152420 (2019) - [c4]Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu:
Kullback-Leibler Averaging for Multitarget Density Fusion. DCAI 2019: 253-261 - 2018
- [j6]Liang Tang, Yongfeng Zhu, Qiang Fu:
Fast algorithm for designing periodic/aperiodic sequences with good correlation and stopband properties. EURASIP J. Adv. Signal Process. 2018: 57 (2018) - [j5]Liang Tang, Yongfeng Zhu, Qiang Fu:
Designing PAR-constrained periodic/aperiodic sequence via the gradient-based method. Signal Process. 147: 11-22 (2018) - 2017
- [j4]Liang Tang, Yongfeng Zhu, Hao Wu, Qiang Fu:
Fast algorithms for sparse frequency waveform design with sidelobe constraint. Digit. Signal Process. 69: 140-153 (2017) - [j3]Liang Tang, Yongfeng Zhu, Qiang Fu:
Designing Waveform Sets with Good Correlation and Stopband Properties for MIMO Radar via the Gradient-Based Method. Sensors 17(5): 999 (2017) - 2016
- [j2]Yongfeng Zhu, Shulong Zhu, Jingjing Zhang, Yongkang Zhu:
基于ORB特征的单目视觉定位算法研究 (Monocular Vision Alignment Algorithm Based on ORB). 计算机科学 43(Z6): 198-202 (2016) - [j1]Yingzhi Kan, Yongfeng Zhu, Liang Tang, Qiang Fu, Hucheng Pei:
FGG-NUFFT-Based Method for Near-Field 3-D Imaging Using Millimeter Waves. Sensors 16(9): 1525 (2016) - [c3]Liang Tang, Yongfeng Zhu, Qiang Fu, Hucheng Pei:
An amplitude optimization method for suppressing sidelobes at specified intervals. IGARSS 2016: 713-716 - [c2]Yingzhi Kan, Yongfeng Zhu, Liang Tang, Hongzhong Zhao:
Near-field cross section imaging based on 2-D NUFFT for millimeter wave. IGARSS 2016: 5063-5066
2000 – 2009
- 2007
- [c1]Xin Li, Guangzheng Fei, Yongfeng Zhu:
ISMAS: An Interactive Sketch Modeling and Animation System. Edutainment 2007: 687-700
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