期刊论文

一、通信与第一作者文章

1. Yongquan Zhang (Corresponding Author), Aomen Shang, Wenbo Zhang, Zekun Liu, Zhibin Li, Hongbing Ji, Zhenzhen Su. A measurement fusion algorithm of active and passive sensors based on angle association for multi-target tracking. Information Fusion, 2024, 106: 102267. (SCI, 中科院一区, Top期刊)
2. Yongquan Zhang (Corresponding Author), Zhenyun Shi, Hongbing Ji, Zhenzhen Su. Online multi-target intelligent tracking using a deep long-short term memory network, Chinese Journal of Aeronautics, 2023, 36(9): 313-329. (SCI, 中科院一区, Top期刊)
3. Fan Zhang, Hongbing Ji, Yongquan Zhang (Corresponding Author), Zhigang Zhu, Yifan Li. Joint spatial and temporal feature enhancement network for disturbed object detection[J], IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(12): 12258-12273. (SCI, 中科院一区, Top期刊)
4. Y.Q. Zhang (Corresponding Author), H.B. Ji, Q. Hu. A box-particle implementation of standard PHD filter for extended target tracking. Information Fusion, Vol. 34, pp. 55-69, 2017. (SCI, 中科院一区, Top期刊)
5. Y.Q. Zhang (Corresponding Author), H.B. Ji, Q. Hu. A fast ellipse extended target PHD filter using box-particle implementation. Mechanical Systems and Signal Processing, Vol. 99, pp. 57-72, 2018. (SCI, 中科院二区, Top期刊)
6. Y.Q. Zhang (Corresponding Author), H.B. Ji, X. Gao, Q. Hu. An ellipse extended target CBMeMBer filter using gamma and box-particle implementation. Signal Processing, Vol. 149, pp. 88-102, 2018. (SCI, 中科院二区)
7. Y.Q. Zhang (Corresponding Author), H.B. Ji. A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter. Knowledge-Based Systems, Vol. 95, pp. 125-141, 2016. (SCI, 中科院二区)
8. Y.Q. Zhang (Corresponding Author), H.B. Ji, W. Zhang. TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP. Neurocomputing, Vol. 124, pp. 63-71, 2014. (SCI, 中科院二区)
9. Y.Q. Zhang (Corresponding Author), H.B. Ji. Gaussian mixture reduction based on fuzzy ART for extended target tracking. Signal Processing, Vol. 97, pp. 232-241, 2014. (SCI, 中科院二区)
10. Y.Q. Zhang (Corresponding Author), H.B. Ji. A global difference measure for the reduction of Gaussian inverse Wishart mixtures. Signal Processing, Vol. 93, No. 11, pp. 3133-3142, 2013. (SCI, 中科院二区)

二、非通信作者文章

1. Q. Hu, H.B. Ji, Y.Q. Zhang. Tracking of maneuvering non-ellipsoidal extended target with varying number of sub-objects, Mechanical Systems and Signal Processing, Vol. 99, pp. 262-284, 2018. (SCI, 中科院二区, Top期刊)
2. Q. Hu, H.B. Ji, Y.Q. Zhang. A standard PHD filter for joint tracking and classification of maneuvering extended targets using random matrix, Signal Processing, Vol. 144, pp. 352-363, 2018. (SCI, 中科院二区)
3. W. Zhang, H. Ji, G. Liao, Y.Q Zhang. A novel extreme learning machine using privileged information. Neurocomputing, Vol. 168, pp. 823-828, 2015. (SCI, 中科院二区)
4. Z. Fan, H. Ji, Y.Q Zhang. Iterative particle filter for visual tracking. Signal Processing: Image Communication, Vol. 36, pp. 140-153, 2015. (SCI, 中科院二区)

会议论文

1. Q. Hu, H.B. Ji, Y.Q. Zhang, An improved extended state estimation approach for maneuvering target tracking using random matrix. In: Proceedings of the 20th International Conference on Information Fusion. 2017, July.
2.  M. Wang, H.B. Ji, X. Hu, Y.Q. Zhang, Gaussian mixture particle flow probability hypothesis density filter. In: Proceedings of the 20th International Conference on Information Fusion. 2017, July.
3. X. Chen, H.B. Ji, Y.Q. Zhang, Tracking of non-ellipsoidal extended target using negative measurements. In: AIP Conference Proceedings. Vol. 1820. No. 1. AIP Publishing, 2017.