Books:

  1. Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin, Advances in Adaptive Radar Detection and Range Estimation, Springer, 2022.
  2. Jun Liu, Danilo Orlando, Chengpeng Hao, Weijian Liu, Adaptive Detection of Multichannel Signals Exploiting Persymmetry, CRC Press, USA, 2023.

Peer-reviewed journal papers (published or accepted):

  1. Ziwei Zhang, Jun Liu*, and Guangfeng Jiang, “Spatial and temporal awareness network for semantic segmentation on automotive radar point cloud”, IEEE Transactions on Intelligent Vehicles, accepted.
  2. Siyu Sun, Jun Liu*, and Wei Li, “Spatial invariant tensor self-representation model for hyperspectral anomaly detection,” IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2022.3233108, accepted.
  3. Siyu Sun, Jun Liu*, Ziwei Zhang, and Wei Li, “Hyperspectral anomaly detection based on adaptive low-rank transformed tensor,” IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3236641, accepted.
  4. Zhen Wang, Jiaqi Liu, Xinru Yuan, Chang Chen, Jun Liu, and Weidong Chen, “A dynamic model-based Doppler-adaptive correlation filter for maritime radar target tracking,” IEEE Transactions on Geoscience and Remote Sensing, accepted.
  5. Haiyou Qu, Shiyuan Li, Chang Chen, Jun Liu, and Weidong Chen, “High-resolution orbital angular momentum imaging with the removal of Bessel function modulation effect,” IEEE Transactions on Microwave Theory and Techniques, DOI: 10.1109/TMTT.2023.3314107, accepted.
  6. Can Huang, Yong-Liang Wang, Weijian Liu, Jun Liu, and Qinglei Du, “Adaptive detection with training data in partially homogeneous environments for colocated MIMO radar,” Signal Processing, vol. 217, asn: 109353, 2024.
  7. Naixin Kang, Xiaotao Huang, Weijian Liu, Jun Liu, Chengpeng Hao, and Zheran Shang, “Rao test of polarimetric detection for targets with energy spillover in non-Gaussian clutter,” Digital Signal Processing, vol. 144, asn: 104266, 2024.
  8. Can Huang, Yong-Liang Wang, Weijian Liu, Qinglei Du, and Jun Liu, “Adaptive double subspace target detection based on gradient test: Designs and comparisons,” Digital Signal Processing, vol. 145, asn: 104323, 2024.
  9. Jules Karangwa, Jun Liu*, and Zixuan Zeng, “Vehicle detection for autonomous deriving: A review of algorithms and datasets,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 11, pp. 11568-11594, November 2023.
  10. Siyu Sun, Jun Liu*, Xun Chen, Wei Li, and Hongbin Li, “Hyperspectral anomaly detection with tensor average rank and piecewise smoothness constraints”, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 11, pp. 8679-8692, November 2023.<"codes">
  11. Liang Chen, Jun Liu*, Weidong Chen, and Bo Du, “A GLRT-based multi-pixel target detector in hyperspectral imagery,” IEEE Transactions on Multimedia, vol. 25, pp. 2710-2722, February 2023.
  12. Liang Chen, Jun Liu*, Siyu Sun, Weidong Chen, Bo Du, and Rong Liu*, “An iterative GLRT for hyperspectral target detection based on spectral similarity and spatial connectivity characteristics,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, asn: 5505811, March 2023.
  13. Shengyin Sun, Jun Liu*, and Siyu Sun, “Hyperspectral subpixel target detection based on interaction subspace model,” Pattern Recognition, vol. 139, 109464, July 2023.
  14. Jiajia Chen, Xin Xin*, Xianfeng Liang, Xiangnan He, and Jun Liu*, “GDSRec: Graph-based decentralized collaborative filtering for social recommendation,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 5, pp. 4813-4824, May 2023.
  15. Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, and Xun Chen, “EEG-based subject-independent emotion recognition using gated recurrent unit and minimum class confusion,” IEEE Transactions on Affective Computing, vol. 14, no. 4, pp. 2740-2750, 2023.
  16. Jian Xue, Shuwen Xu, and Jun Liu, “Persymmetric adaptive radar target detection in CG-LN sea clutter using complex parameter suboptimum tests,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, asn: 5111211, 2023.
  17. Jian Xue, Mengling Sun, Shuwen Xu, Jun Liu, and Meiyan Pan, “Shape parameter estimation of K-distributed sea clutter using neural-network and multi-sample-percentile in radar industry,” IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7602-7612, June 2023.
  18. Jian Xue, Hongen Li, Meiyan Pan, and Jun Liu, “Adaptive persymmetric detection for radar targets in correlated CG-LN sea clutter,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, asn: 5108212, 2023.
  19. Sudan Han, Yuxuan Zhang, Chengpeng Hao, Jun Liu, Alfonso Farina, and Danilo Orlando, “Sparsity-based classification approaches for radar data in the presence of clutter edges and discretes”, IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 3, pp. 2141-2162, June 2023.
  20. Jinbiao Du, Weiwei Fan, Chen Gong, Jun Liu, and Feng Zhou, “Aggregat-ed-attention deformable convolutional network for few-shot SAR jamming recognition”, Pattern Recognition, vol. 46, asn:109990, 2023.
  21. Weijian Liu, Jun Liu*, Tao Liu, Hui Chen, and Yongliang Wang, “Detector design and performance analysis for target detection in subspace interference,” IEEE Signal Processing Letters, vol. 30, pp. 618-622, 2023.
  22. Yutong Feng, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki, and Jun Liu, “Compressive detection of stochastic sparse signals with unknown sparsity degree,” IEEE Signal Processing Letters, vol. 30, pp. 1482-1486, 2023.
  23. Hang Ye, Yongliang Wang, Weijian Liu, Jun Liu, and Hui Chen, “Adaptive detection based on gradient test and Durbin test in spectrally symmetric interference,” Signal Processing, vol. 203, 108793, 2023.
  24. Jun Liu, Zengfu Hou, Wei Li, Ran Tao, Danilo Orlando, and Hongbin Li, “Multipixel anomaly detection with unknown patterns for hyperspectral imagery,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 10, pp. 5557-5567, October 2022.<"codes">
  25. Jun Liu, Dian Jin, Weijian Liu, Danilo Orlando, and Alfonso Farina, “Polarimetric GLRT for adaptive detection in general array configuration”, IEEE Transactions on Signal Processing, vol. 70, pp. 4201-4211, 2022.
  26. Jun Liu, Weijian Liu, Xun Chen, Danilo Orlando, and Alfonso Farina, “Wald test for adaptive array detection with general configuration”, IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 5, pp. 4423-4433, October 2022.
  27. Mengru Sun, Weijian Liu, Jun Liu, and Chengpeng Hao, “Complex parameter Rao, Wald, Gradient, and Durbin tests for multichannel signal detection,” IEEE Transactions on Signal Processing, vol. 70, pp. 117-131, 2022.
  28. Jian Xue, Manshan Ma, Jun Liu, Meiyan Pan, Shuwen Xu, and Jie Feng, “Wald- and Rao-based detection for maritime radar targets in sea clutter with Lognormal texture,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 5119709, 2022.
  29. Jian Xue, Jun Liu, Shuwen Xu, and Meiyan Pan, “Adaptive detection of radar targets in heavy-tailed sea clutter with Lognormal texture,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 5108411, 2022.
  30. Mengru Sun, Weijian Liu, Jun Liu, Peiqin Tang, and Chengpeng Hao, “Adaptive subspace detection based on gradient test for orthogonal interference,” IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 3, pp. 1868-1877, June 2022.
  31. Mengru Sun, Weijian Liu, Jun Liu, and Chengpeng Hao, “Rao and Wald tests for target detection in coherent interference,” IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 3, pp. 1906-1921, June 2022.
  32. Jian Xue, Shuwen Xu, and Jun Liu, “Persymmetric detection of radar targets in nonhomogeneous non-Gaussian sea clutter,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, asn: 5103709, 2022.
  33. Weijian Liu, Jun Liu, Chengpeng Hao, Yongchan Gao, and Yong-Liang Wang, “Multichannel adaptive signal detection: Basic theory and literature review,” SCIENCE CHINA Information Sciences, vol. 65, 121301, 2022.
  34. Peiqin Tang, Ran Dong, Weijian Liu, Jun Liu, Qinglei Du, and Yongliang Wang, “Adaptive multichannel detectors for distributed target based on gradient test,” Signal Processing, vol. 191, pp. 108350, February 2022.
  35. Mengru Sun, Weijian Liu, Jun Liu, and Chengpeng Hao, “Multichannel adaptive detection based on gradient test and Durbin test in deterministic interference and structure nonhomogeneity,” IEEE Signal Processing Letters, vol. 29, pp. 592-596, 2022.
  36. Hang Ye, Yongliang Wang, Weijian Liu, Jun Liu, and Hui Chen, “Adaptive detection in partially homogeneous environment with limited samples based on geometric Barycenters,” IEEE Signal Processing Letters, vol. 29, pp. 2083-2087, 2022.
  37. Bang Huang, Wen-Qing Wang, Danilo Orlando, Abdul Basit, and Jun Liu, “Bayesian detection of distributed targets for FDA-MIMO radar in Gaussian interference,” IEEE Signal Processing Letters, vol. 29, pp. 2168-2172, 2022.
  38. Yufeng Cui, Yong-Liang Wang, Weijian Liu, Qinglei Du, and Jun Liu, “Adaptive detection in structure-nonhomogeneity environment: Designs and comparisons,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 3510705, 2022.
  39. Jian Xue, Shuwen Xu, Jun Liu, Meiyan Pan, and Jie Fang, “Bayesian detection for radar targets in compound-Gaussian sea clutter,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 4020805, 2022.
  40. Li Zeng, Yongliang Wang, Weijian Liu, Jun Liu, and Zhaojian Zhang, “Adaptive detectors for colocated MIMO radar with training data,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 4021105, 2022.
  41. Jun Liu, Zihui Gao, Zhaoqian Sun, Tao Jian, and Weijian Liu, “Detection architecture with improved classification capabilities for covariance structures,” Digital Signal Processing, vol. 123, 103404, 2022.
  42. Tao Jian, Jun Liu*, Shenghua Zhou, and Weijian Liu, “Target detection with persymmetric subspace models for steering vector mismatches in MIMO radars,” Digital Signal Processing, vol. 126, 103480, 2022.
  43. Li Zeng, Yongliang Wang, Weijian Liu, Jun Liu, and Lan Lan “GLRT-based detectors for FDA-MIMO radar with training data,” Digital Signal Processing, vol. 130, 103729, 2022.
  44. Deng Liang, Aiping Liu, Chang Li, Jun Liu, and Xun Chen, “A novel consistency-based training strategy for seizure prediction," Journal of Neuroscience Methods, vol. 372, 109557, 2022.
  45. Can Huang, Jun Liu, Weijian Liu, and Yongliang Wang, “Determination between target and jamming based on multiple alternative hypotheses”, IET Signal Processing, accepted.
  46. Zeyu Wang, Jun Liu, Hongmeng Chen, Wei Yang, “Adaptive robust radar target detector based on Gradient test,” Remote Sensing, vol. 14, no. 14: 5236, 2022.
  47. Zeyu Wang, Jun Liu, Yachao Li, Hongmeng Chen, Mugen Peng, “Adaptive subspace signal detection in structured interference plus compound Gaussian sea clutter,” Remote Sensing, vol. 14, no. 9: 2274, 2022.
  48. Jun Liu, Weijian Liu, Xun Chen, Danilo Orlando, and Alfonso Farina,“Performance analysis of the generalized likelihood ratio test in general phased array radar configuration”, IEEE Transactions on Signal Processing, vol. 69, pp. 4544-4555, 2021.
  49. Bo Tang, Jun Liu, Hai Wang and Yihua Hu, “Constrained radar waveform design for range profiling,”IEEE Transactions on Signal Processing, vol. 69, pp. 1924-1937, 2021.
  50. Jun Liu, Tao Jian and Weijian Liu, “Persymmetric detection of subspace signals based on multiple observations in the presence of subspace interference,” Signal Processing, vol. 183, pp. 107964, 2021.
  51. Shengyin Sun, Jun Liu*, Weijian Liu, and Tao Jian, “Robust detection of distributed targets based on Rao test and Wald test,” Signal Processing, vol. 180, pp. 107801, April 2021.
  52. Da Xu, Pia Addabbo, Chengpeng Hao, Jun Liu, Danilo Orlando, and Alfonso Farina, “Adaptive strategies for cutter edge detection in radar,”Signal Processing, vol. 186, pp. 108127, 2021.
  53. Weijian Liu, Zhaojian Zhang, Jun Liu*, Zheran Shang, and Yongliang Wang, “Detection of a rank-one signal with limited training data,”Signal Processing, vol. 186, pp. 108120, 2021.
  54. Yufeng Cui, Weijian Liu, Qinglei Du, Jun Liu, and Yongliang Wang, “A tunable detector for distributed targets when signal mismatch occurs,”Electronics Letters, vol. 57, no.15, pp. 594-596, July 2021.
  55. Pia Addabbo, Jun Liu, Danilo Orlando, and Giuseppe Ricci, “Novel parameter estimation and radar detection approaches for multiple point-like targets: Designs and comparisons,” IEEE Signal Processing Letters, vol. 27, pp. 1789-1793, 2020.
  56. Jun Liu, Yutong Feng, Weijian Liu, Danilo Orlando, and Hongbin Li, “Training data assisted anomaly detection of multi-pixel targets in hyperspectral imagery,” IEEE Transactions on Signal Processing, vol. 68, pp. 3022-3032, 2020.
  57. Jun Liu, Davide Massaro, Danilo Orlando, and Alfonso Farina, “Radar adaptive detection architectures for heterogeneous environments,” IEEE Transactions on Signal Processing, vol. 68, pp. 4307-4319, 2020.
  58. Jun Liu, Jiajia Chen, Jiajun Li, and Weijian Liu, “Persymmetric adaptive detection of distributed targets with unknown steering vectors,” IEEE Transactions on Signal Processing, vol. 68, pp. 4123-4134, 2020.
  59. Jun Liu, Wuyang Zhou, Amir Zaimbashi, and Hongbin Li, “Persymmetric adaptive array detection of spread spectrum signals,” IEEE Transactions on Information Theory, vol. 66, no.12, pp. 7828-7834, December 2020.
  60. Mohammad Hassan Javidan, Amir Zaimbashi, and Jun Liu, “Target detection in passive radar under noisy reference channel: A new threshold-setting strategy,”IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 6, pp. 4711-4722, December 2020.
  61. Linjie Yan, Pia Addabbo, Chengpeng Hao, Danilo Orlando, Jun Liu, and Jian Li, “A sparse learning approach to the detection of multiple noise-like jammers,”IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 6, pp. 4367-4383, December 2020.
  62. Yutong Feng, Jun Liu*, and Weijian Liu, “Coincidence of the Rao test, Wald test and GLRT for anomaly detection in hyperspectral imagery,” Signal Processing, vol. 169, pp. 107416, April 2020.
  63. Jun Liu, Weijian Liu, Chengpeng Hao, and Danilo Orlando, “Persymmetric subspace detectors with multiple observations in homogeneous environments,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 4, pp. 3276-3284, August 2020.
  64. Bo Tang, Jun Liu, Zhongrui Huang, Guisheng Wang, and Fuhua Fan, “Adaptive target detection in Gaussian clutter edges,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 2, pp. 1662-1673, April 2020.
  65. Jun Liu and Jian Li, “Analytical performance of rank-one signal detection in subspace interference plus Gaussian noise,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 2, pp. 1595-1601, April 2020.
  66. Weijian Liu, Jun Liu*, Yongchan Gao, Guoshi Wang, and Yong-Liang Wang, “Multichannel signal detection in interference and noise when signal mismatch happens,” Signal Processing, vol. 166, pp. 107268, January 2020.
  67. Jun Liu, Weijian Liu, Bo Tang, and Danilo Orlando, “Persymmetric adaptive detection in subspace interference plus Gaussian noise,” Signal Processing, vol. 167, pp. 107316, February 2020.
  68. Jun Liu, Tao Jian, Weijian Liu, Chengpeng Hao, and Danilo Orlando, “Persymmetric adaptive detection with improved robustness to steering vector mismatches,” Signal Processing, vol. 176, pp. 107669, 2020.
  69. Jun Liu and Jian Li, “Robust detection in MIMO radar with steering vector mismatches,” IEEE Transactions on Signal Processing, vol. 67, no. 20, pp. 5270-5280, October 15, 2019.
  70. Jun Liu, Filippo Biondi, Danilo Orlando, and Alfonso Farina, “Training data classification algorithms for radar applications,” IEEE Signal Processing Letters, vol. 26, no. 10, pp. 1446-1450, October, 2019.
  71. Leilei Xu, Shenghua Zhou, Hongwei Liu, and Jun Liu, “Repeat radar jammer suppression for colocated MIMO radar,” IET Radar, Sonar and Navigations, vol. 13, no. 9, pp. 1448-1457, 2019.
  72. Jun Liu, Jinwang Han, Weijian Liu, Shuwen Xu and Zi-Jing Zhang, “Persymmetric Rao test for MIMO radar in Gaussian disturbance,” Signal Processing, vol. 165, pp. 30-36, December, 2019.
  73. Jun Liu and Jian Li, “False alarm rate of the GLRT for subspace signals in subspace interference plus Gaussian noise,” IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 3058-3069, March 1, 2019.
  74. Jun Liu, Siyu Sun, and Weijian Liu, “One-step persymmetric GLRT for subspace signals,” IEEE Transactions on Signal Processing, vol. 67, no. 14, pp. 3639-3648, July 15, 2019.
  75. Jun Liu, Danilo Orlando, Pia Addabbo, and Weijian Liu, “SINR distribution for the persymmetric SMI beamformer with steering vector mismatches,” IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1382-1392, March 1, 2019.
  76. Jun Liu, and Jian Li, “Mismatched signal rejection performance of the persymmetric GLRT detector,” IEEE Transactions on Signal Processing, vol. 67, no. 6, pp. 1610-1619, March 15, 2019.
  77. Jun Liu, Weijian Liu, Bo Tang, Jibin Zheng, and Shuwen Xu, “Distributed target detection exploiting persymmetry in Gaussian clutter,” IEEE Transactions on Signal Processing, vol. 67, no. 4, pp. 1022-1033, February 15, 2019.
  78. Weijian Liu, Jun Liu*, Qinglei Du, and Yongliang Wang, “Multichannel signal detection based on Wald test in subspace interference and Gaussian noise,”IEEE Transactions on Aerospace and Electronic Systems, vol. 356, no. 1, pp. 629-653, January, 2019.
  79. Jian Xue, Shuwen Xu, Jun Liu, and Peng-Lang Shui, “Model for non-Gaussian sea clutter amplitudes using generalized inverse Gaussian texture,”IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 6, pp. 892-896, June, 2019.
  80. Weijian Liu, Fei Gao, Yuwen Luo, Jun Liu*, and Yong-Liang Wang, "GLRT-based generalized direction detector in a partially homogeneous environment," SCIENCE CHINA Information Science, vol. 62, pp. 209303:1–209303:3, 2019.
  81. Weihong Fu, Xinbiao Zhou, Bin Nong, Changle Li, and Jun Liu, “Blind estimation of underdetermined mixing matrix based on density measurement,” Wireless Personal Communications, vol. 104, no. 4, pp. 1283-1300, February, 2019.
  82. Weijian Liu, Jun Liu*, Lei Huang, Qinglei Du, and Yongliang Wang, “Performance analysis of reduced-dimension subspace signal filtering and detection in sample-starved environment,” Journal of the Franklin Institute, vol. 356, no. 1, pp. 629-653, January, 2019.
  83. Jun Liu, Jinwang Han, Zi-Jing Zhang, and Jian Li, “Target detection exploiting covariance matrix structures in MIMO radar,” Signal Processing, vol. 154, pp. 174-181, January, 2019.
  84. Jun Liu, Jinwang Han, Zi-Jing Zhang, and Jian Li, “Bayesian detection for MIMO radar in Gaussian clutter,” IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6549-6559, December 15, 2018.
  85. Jun Liu, Weijian Liu, Jinwang Han, Bo Tang, Yongbo Zhao, and Haifeng Yang, “Persymmetric GLRT Detection in MIMO Radar,” IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 11913-11923, December, 2018.
  86. Jun Liu, Weijian Liu, Yongchan Gao, Shenghua Zhou, and Xiang-Gen Xia, “Persymmetric adaptive detection of subspace signals: Algorithms and performance analysis,” IEEE Transactions on Signal Processing, vol. 66, no. 23, pp. 6124-6136, December 1, 2018.
  87. Jun Liu, Shenghua Zhou, Weijian Liu, Jibin Zheng, Hongwei Liu, and Jian Li, “Tunable adaptive detection in colocated MIMO radar,” IEEE Transactions on Signal Processing, vol. 66, no. 4, pp. 1080-1092, February, 2018.
  88. Jun Liu, Sha Liu, Weijian Liu, Shenghua Zhou, Shengqi Zhu, and Zi-Jing Zhang, “Persymmetric adaptive detection of distributed targets in compound-Gaussian sea clutter with Gamma texture,” Signal Processing, vol. 152, pp. 340-349, November, 2018.
  89. Weijian Liu, Jun Liu*, Qinglei Du, and Yongliang Wang, “Distributed target detection in partially homogeneous environment when signal mismatch occurs,” IEEE Transactions on Signal Processing, vol. 66, no. 14, pp. 3918-3928, July, 2018.
  90. Weijian Liu, Yongliang Wang, Jun Liu*, Lei Huang, and Chengpeng Hao, “Performance analysis of adaptive detectors in subspace interference and Gaussian noise,” IEEE Transactions on Aerospace and Electronic Systems, vol. 54, no. 1, pp. 429-441, February, 2018.
  91. Jibin Zheng, Hongwei Liu, Jun Liu*, Xiaolin Du, and Qing Huo Liu, “Radar high-speed maneuvering target detection based on three-dimensional scaled transform,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 8, pp. 2821-2833, August, 2018.
  92. Hong-Yan Zhao, Zi-Jing Zhang, Jun Liu*, Shenghua Zhou, Jibin Zheng, and Weijian Liu, “Target detection based on F-test in passive multistatic radar,” Digital Signal Processing, vol. 79, pp. 1-8, August, 2018.
  93. Weihong Fu, Bin Nong, Xinbiao Zhou, Jun Liu, and Changle Li, “Source recovery in underdetermined blind source separation based on artificial neural network,” China Communications, vol. 15, no. 1, pp. 140-154, January, 2018.
  94. Weijian Liu, Hui Han, Jun Liu, Hongli Li, Kai Li, and Yongliang Wang, “Multichannel radar adaptive signal detection in interference and structure nonhomogeneity,” Science China Information Sciences, vol. 60, pp. 112302:1–112302:14, November 2017.
  95. Ding Cao, Shenghua Zhou, Hongwei Liu, Jun Liu and Huikai Zang, “Signal censoring and fusing with system-level communication constraints in multistatic radar: A J-divergence and Bhattacharyya distance based approach,” IET Radar, Sonar and Navigations, vol. 11, no. 12, pp. 1802-1814, December 2017.
  96. Jun Liu, Kai Li, Xichuan Zhang, Ming Liu, and Weijian Liu, "A weighted detector for mismatched subspace signals," Signal Processing. vol. 140, pp. 110-115, November 2017.
  97. Jun Liu, Hong-Yan Zhao, Weijian Liu, Hongbin Li, and Hongwei Liu, "Adaptive detection using both the test and training data for disturbance correlation estimation," Signal Processing. vol. 137, pp. 309-318, August 2017.
  98. Xiaolu Guo, Haihong Tao, Hong-Yan Zhao, and Jun Liu*, “Persymmetric Rao and Wald tests for adaptive detection of distributed targets in compound-Gaussian noise,” IET Radar, Sonar and Navigations, vol. 11, no. 3, pp. 453-458, April 2017.
  99. Jun Liu, Weijian Liu, and Hongwei Liu, “A simpler proof of rapid convergence rate in adaptive arrays,” IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 1, pp. 135-136, February 2017.
  100. Weijian Liu, Jun Liu, Lei Huang and Yong-Liang Wang, “Distributed target detectors with capabilities of mismatched subspace signal rejection,” IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 2, pp. 888-900, April 2017.
  101. Hong-Yan Zhao, Jun Liu*, Zi-Jing Zhang, Hongwei Liu and Shenghua Zhou, “Linear fusion for target detection in passive multistatic radar,” Signal Processing, vol. 130, pp. 175-182, January 2017.
  102. Weijian Liu, Yongliang Wang, Jun Liu*, Wenchong Xie, Hui Chen, and Rongfeng Li, “Design and performance analysis of adaptive detectors for subspace signals in orthogonal interference and Gaussian noise,” IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 5, pp. 2068-2079, October, 2016.
  103. Yu-Tang Zhu, Yong-Bo Zhao, Jun Liu, and Peng-Lang Shui, “Low complexity robust adaptive beamforming for general-rank signal model with positive semidefinite constraint,”Frontiers of Information Technology & Electronic Engineering, vol. 17, no. 11, pp. 1245-1252, November 2016.
  104. Weijian Liu, Jun Liu, Xiaoqin Hu, Zhikai Tang, and Yongliang Wang “Statistical performance analysis of the adaptive orthogonal rejection detector,” IEEE Signal Processing Letters, vol. 23, no. 6, pp. 873-877, June, 2016.
  105. Jun Liu, Weijian Liu, Hongwei Liu, Chen Bo, Xiang-Gen Xia, and Fengzhou Dai, “Average SINR calculation of a persymmetric sample matrix inversion beamformer,” IEEE Transactions on Signal Processing, vol. 64, no. 8, pp. 2135-2145, April 15, 2016.
  106. Weijian Liu, Jun Liu*, Chen Zhang, Hongli Li, and Xueke Wang, “Performance prediction of subspace-based adaptive detectors with signal mismatch,” Signal Processing, vol. 123, pp. 122-126, June 2016
  107. Hongwei Liu, Hongliang Liu, Xiaodong Dan, Shenghua Zhou, and Jun Liu, “Cooperative track Initiation for distributed radar network based on target track information,” IET Radar, Sonar and Navigations, vol. 10, no. 4, pp. 735-741, April 2016.
  108. Qinzhen Hu, Hongtao Su, Shenghua Zhou, Ziwei Liu, and Jun Liu, “Target detection in distributed MIMO radar with registration errors,” IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 1, pp. 438-450, February, 2016.
  109. Qinzhen Hu, Hongtao Su, Shenghua Zhou, Ziwei Liu, Yang Yang, Jun Liu, “Two-stage constant false alarm rate detection for distributed multiple-input–multiple-output radar,” IET Radar, Sonar and Navigations, vol. 10, no. 2, pp. 264-271, Feb. 2016.
  110. Jun Liu, Weijian Liu, Hongwei Liu, Zi-Jing Zhang, and Bo Chen, “Performance of SMI beamformer with mismatch in steering vector errors in heterogeneous environments,” Signal Processing, vol. 123, pp. 22-29, June 2016
  111. Jun Liu, Weijian Liu, Bo Chen, Hongwei Liu, Hongbin Li, and Chengpeng Hao, “Modified Rao test for multichannel adaptive signal detection,” IEEE Transactions on Signal Processing, vol. 64, no. 3, pp. 714-725, February 1, 2016.
  112. Xin Zhang, Hongbin Li, Jun Liu, and Braham Himed, “Joint delay and Doppler estimation for passive sensing with direct-path interference,” IEEE Transactions on Signal Processing, vol. 64, no. 3, pp. 630-640, February 1, 2016.
  113. Weijian Liu, Jun Liu, Lei Huang, Kai Yan, and Yongliang Wang, “Robust GLRT approaches to signal detection in the presence of spatial- temporal uncertainty,” Signal Processing, vol. 118, pp. 272-284, January 2016.
  114. Jun Liu, Weijian Liu, Bo Chen, Hongwei Liu, and Hongbin Li, “Detection probability of a CFAR matched filter with signal steering vector errors,” IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2474-2478, December 2015.
  115. Zi-Jing Zhang, Jun Liu*, Yongbo Zhao, and Yunhe Cao, “False alarm rate of the GLRT-LQ detector in non-Gaussian and heterogeneous clutter,” Aerospace Science and Technology, vol. 47, pp. 191-194, December 2015.
  116. Xin Zhang, Jun Liu, Hongbin Li, and Braham Himed, “Maximum likelihood synchronization for DVB-T2 in unknown fading channels,” IEEE Transactions on Broadcasting, vol. 61, no. 4, pp. 615-624, December 2015.
  117. Weijian Liu, Jun Liu, Libao Wang, Keqing Duan, and Yongliang Wang, “Adaptive array detection in noise and completely unknown jamming,” Digital Signal Processing, vol. 46, pp. 41-48, November 2015.
  118. Hongbin Li, Zhe Wang, Jun Liu, and Braham Himed, “Moving target detection in distributed MIMO radar on moving platforms,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 8, pp. 1524-1535, December 2015.
  119. Weijian Liu, Jun Liu, Lei Huang, Dujian Zou, and Yongliang Wang, “Rao tests for distributed target detection in interference and noise,” Signal Processing, vol. 117, pp. 333-342, December 2015.
  120. Jun Liu, Guolong Cui, Hongbin Li, and Braham Himed, “On the performance of a persymmetric adaptive matched filter,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 4, pp. 2605-2614, October 2015.
  121. Weijian Liu, Yongliang Wang, Jun Liu, Wenchong Xie, Hui Chen, and Wenkun Gu, “Adaptive detection without training data in colocated MIMO Radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 3, pp. 2469-2479, July 2015.
  122. Bo Chen, Hao Zhang, Xuefeng Zhang, Wei Wen, Hongwei Liu, and Jun Liu, "Max-margin discriminant projection via data augmentation," IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 7, pp. 1964-1976, July 2015.
  123. Fei Gao, Lili Guo, Hongbin Li, Jun Liu, and Jun Fang, “Quantizer design for distributed GLRT detection of weak signal in wireless sensor networks,” IEEE Transactions on Wireless Communications, vol. 14, no. 4, pp. 2032-2042, April 2015.
  124. Jun Liu, Hongbin Li and Braham Himed, “Persymmetric adaptive target detection with distributed MIMO radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 1, pp. 372-382, Jan. 2015.
  125. Jun Liu, Hongbin Li and Braham Himed, “On the performance of the cross-correlation detector for passive radar applications,” Signal Processing, vol. 113, pp. 32-37, August 2015.
  126. Guolong Cui, Jun Liu, Hongbin Li and Braham Himed, “Signal detection with noisy reference for passive sensing,” Signal Processing, vol. 108, pp. 389-399, March 2015.
  127. Jun Liu, Hongbin Li and Braham Himed, “Threshold setting for adaptive matched filter and adaptive coherence estimator,” IEEE Signal Processing Letters, vol. 22, no. 1, pp. 11-15, Jan. 2015.
  128. Weijian Liu, Wenchong Xie, Jun Liu, Dujian Zou, Honglin Wangand Yongliang Wang, “Detection of a distributed target with direction uncertainty”, IET Radar, Sonar and Navigations, vol. 8, no. 9, pp. 1177-1183, December 2014.
  129. Jun Liu, Hongbin Li and Braham Himed, “Two target detection algorithms for passive multistatic radar,” IEEE Transactions on Signal Processing, vol. 62, no. 22, pp. 5930-5939, Nov. 2014.
  130. Jun Liu, Hongbin Li and Braham Himed, “Joint optimization of transmit and receive beamforming in active arrays,” IEEE Signal Processing Letters, vol. 21, no. 1, pp. 39-42, Jan. 2014.
  131. Weijian Liu, Wenchong Xie, Jun Liu and Yongliang Wang, “Adaptive double subspace signal detection in Gaussian background—Part I: homogeneous environments,” IEEE Transactions on Signal Processing, vol. 62, no. 9, pp. 2345-2357, May 2014.
  132. Weijian Liu, Wenchong Xie, Jun Liu and Yongliang Wang, “Adaptive double subspace signal detection in Gaussian background—Part II: partially homogeneous environments,” IEEE Transactions on Signal Processing, vol. 62, no. 9, pp. 2358-2369, May 2014.
  133. Jun Liu, Zi-Jing Zhang, Yunhe Cao and Min Wang, “Distributed targets detection in subspace interference plus Gaussian noise,” Signal Processing, vol. 95, no. 2, pp. 88-100, Feb. 2014.
  134. Jun Liu, Zi-Jing Zhang, Yunhe Cao and Shiyong Yang, “A closed-form expression for false alarm rate of adaptive MIMO-GLRT detector with distributed MIMO radar,” Signal Processing, vol. 93, no. 9, pp. 2771-2776, Sep. 2013.
  135. Jun Liu, Zi-Jing Zhang, Yun Yang and Min Wang, “Comments on probabilities of false alarm and detection for the NAMF operating in Gaussian clutter,” IEEE Signal Processing Letters, vol. 19, no. 10, pp. 671, Oct. 2012.
  136. Jun Liu, Zi-Jing Zhang and Yun Yang, “Optimal waveform design for generalized likelihood ratio and adaptive matched filter detectors using a diversely polarized antenna,” Signal Processing, vol. 92, no. 4, pp. 1126-1131, Apr. 2012.
  137. Jun Liu, Zi-Jing Zhang and Yun Yang, “Performance enhancement of subspace detection with a diversely polarized antenna,” IEEE Signal Processing Letters, vol. 19, no. 1, pp. 4-7, Jan. 2012.
  138. Jun Liu, Zi-Jing Zhang, Peng-Lang Shui and Hongwei Liu, “Exact performance of an adaptive subspace detector,” IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4945-4950, Sep. 2012.
  139. Jun Liu, Zi-Jing Zhang, Yun Yang and Hongwei Liu, “A CFAR adaptive subspace detector for first-order or second-order Gaussian signals based on a single observation,” IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5126-5140, Nov. 2011.

Selected conference papers (published or accepted):

  1. Guangfeng Jiang, Jun Liu*, Yuzhi Wu, Wenlong Liao, Tao He, and Pai Peng*, “MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving”, the 38th AAAI Confer-ence on Artificial Intelligence (AAAI), Vancouver, Canada, February 20-27, 2024.