[1] Jing Hou, Yan Yang, Tian Gao. A normal-gamma-based adaptive dual unscented Kalman filter for  battery parameters and state-of-charge estimation with heavy-tailed measurement noise，International Journal of Energy Research，2020.1. SCI: 000508848500001.

[2]   Jing Hou, Yan Yang and Tian Gao. Variational Bayesian Based Adaptive Shifted Rayleigh Filter for Bearings-Only Tracking in Clutters[J]. Sensors, 2019, 19(7), 1512. SCI: 000465570700031.

[3] Jing Hou, Yan Yang, He He, et al. Adaptive Dual Extended Kalman Filter Based on Variational Bayesian Approximation for Joint Estimation of Lithium-Ion Battery State of Charge and Model Parameters[J]. Applied Sciences, 2019 9(9), 1726. SCI: 000469756000005.

[4] Jing Hou, He He, Yan Yang, et al. A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation[J]. Energies, 2019,12(9),1717. SCI:000469761700133.

[5] Jing Hou，X. R. Li, Zhanrong Jing. Multiple Model Tracking of Maneuvering Targets Accounting for Standoff Jamming Information[J]. IET Radar, Sonar and Navigation. 2013.7(4). SCI: 00322799100002

[6] 侯静，胡孟凯，王子微.一种改进的知识辅助MIMO雷达空时自适应处理方法[J]. 电子与信息学报, 2019, 41(4). EI：20193607396071.

[7] Jing Hou, Yan Yang; Ziwei Wang, et al.Multiple Hypothesis Tracking in the Presence of Deception Jamming Based on Multi-Feature Fusion[C].  20th international conference on information fusion, Xi'an, 2017.7, EI: 20173804176133

[8] Jing Hou, Yan Yang, Yi Chen, et al.Multiple Hypothesis Tracker in the Presence of RGPO/RGPI Using Amplitude Information[C].19th international conference on information fusion, Heidelberg, Germany, 2016.7. EI: 20164302956065

[9] Jing Hou, Yuan Wang, Tian Gao, et al.Fault Feature Extraction of Power Electronic Circuits Based on Sparse Decomposition[C].  International Conference on Condition Monitoring and Diagnosis 2016, Xi'an, 2016.9. EI: 20165203190123

[10] Hou Jing, Jing Zhan-rong, Yang Yan. Target Tracking in Standoff Jammer Using Unscented Kalman Filter and Particle Fiter with Negative Information. Journal of Shanghai Jiaotong University (Science).2014.19(2). (EI: 20141817669620)