| 2024 | BMVC | Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences. | Rui Yu, Runkai Zhao, Cong Nie, Heng Wang, Siyu Li, Songhao Zhu |
| 2019 | ICIP | Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering. | Songsong Wu, Zhiqiang Lu, Hao Tang, Yan Yan, Songhao Zhu, Xiao-Yuan Jing, Zuoyong Li |
| 2018 | ICPR | Sparse Representation and Weighted Clustering Based Abnormal Behavior Detection. | Dongliang Jin, Songhao Zhu, Songsong Wu, Xiao-Yuan Jing |
| 2018 | ICPR | Weak Supervised Learning Based Abnormal Behavior Detection. | Xian Sun, Songhao Zhu, Songsong Wu, Xiao-Yuan Jing |
| 2015 | ICIG | Image Annotation Based on Multi-view Learning. | Zhe Shi, Songhao Zhu, Chengjian Sun |
| 2015 | MVA | Image annotation via deep neural network. | Chengjian Sun, Songhao Zhu, Zhe Shi |
| 2012 | ICASSP | Spreading activation theory based image annotation. | Songhao Zhu, Baoyun Wang, Yuncai Liu |
| 2012 | ICASSP | Using non-parametric quantum theory to rank images. | Songhao Zhu, Baoyun Wang, Yuncai Liu |
| 2009 | ICIG | Improving Semantic Scene Categorization by Exploiting Audio-Visual Features. | Songhao Zhu, Junchi Yan, Yuncai Liu |
| 2009 | ICIP | A novel semantic model for video concept detection. | Songhao Zhu, Yuncai Liu |
| 2008 | ICPR | Image annotation refinement using semantic similarity correlation. | Songhao Zhu, Yuncai Liu |