[1] 杨天金,侯振杰*,李兴,梁久祯,宦娟,郑纪翔.多聚点子空间下的时空信息融合及其在行为识别中的应用[J/OL]．自动化学报.2019, https://doi.org/10.16383/j.aas.c190327
[2] 莫宇剑,侯振杰*,常兴治,梁久祯,陈宸,宦娟.面向行为识别的人体空间协同运动结构特征表示与融合[J]. 北京航空航天大学学报, 2019, 45(12):2495-2505.
[3] Yan Xu, Zhenjie Hou*, Jiuzhen Liang, Chen Chen, Liang Jia, Yi Song. Action Recognition using Weighted Fusion of Depth Images and Skeleton's Key Frames[J]. Multimedia Tools and Applications .2019, 78:25063–25078
[4] 李兴，侯振杰*，梁久祯，常兴治.分段双向去除反向重力加速度算法[J]. 计算机辅助设计与图形学学报. 2019, 31(4):560-572.
[5] 巢新,侯振杰*,李兴,梁久祯,刘浩昱.关键帧下的深度时空能量特征表示及其在人体行为识别中的应用[J].中国图象图形学学报[J/OL].2019, No.12, DOI: 10.11834/jig.190351.
[6] 苏海明,侯振杰*,梁久祯,许艳,李兴.一种基于人眼几何特征的视线追踪方法[J].中国图象图形学学报.2019,24(6):914-923.
[7] 许艳,侯振杰*,梁久祯, 陈宸, 贾靓,宋毅.权重融合深度图像与骨骼关键帧的行为识别[J].计算机辅助设计与图形学学报.2018,30(7):1313-1320.
[8] 李兴,侯振杰*,梁久祯,常兴治.基于线性加速度的多节点人体行为识别[J].山东大学学报(工学版).2018, 48(6):56-66.
[9] 张幼安,侯振杰*.基于Kinect的帕金森病步态不对称性识别方法[J].中国康复理论与实践.2018,24(7):795-801.
[10] Chen Chen, Baochang Zhang, Zhenjie Hou*, Junjun Jiang, Mengyuan Liu, Yun Yang. Action recognition from depth sequences using weighted fusion of 2D and 3D autocorrelation of gradients features[J]. Multimedia Tools and Applications. 2017,76:4651-4669
[11] Hou Zhenjie*, Lu Zhongqiu, Yuan Dezheng. Study on the Matching Algorithm and 3D Virtual Reality System Based on Silverlight[J]. International Journal of Hybrid Information Technology.2016,9(1): 31-40.
[12] Hou Zhenjie*, Lu Zhongqiu, Liang Jiuzhen. A Healthy Monitor System for Fall and Balance Detection of Elderly[J]. Journal of Mechanical Engineering Research and Developments.2016,39(2): 364-372.
注：*为通讯作者
专利：
(1) 一种判断老年人摔倒行为及身体平衡能力的方法。专利号：ZL201410633427.5
(2) 一种基于深度图像数据的非接触式呼吸监测方法。专利号：ZL201610162800.2
