ST-LSTM: Spatio-Temporal Graph Based Long Short-Term Memory Network For Vehicle Trajectory Prediction. - Guangxi Chen; Ling Hu; Qieshi Zhang; Ziliang Ren; Xiangyang Gao; Jun Cheng 002 (ICIP, 2020)

Segment spatial-temporal representation and cooperative learning of convolution neural networks for multimodal-based action recognition. - Ziliang Ren; Qieshi Zhang; Jun Cheng 002; Fusheng Hao; Xiangyang Gao (Neurocomputing, 2021)

Multi-modality learning for human action recognition. - Ziliang Ren; Qieshi Zhang; Xiangyang Gao; Pengyi Hao; Jun Cheng 002 (Multim. Tools Appl., 2021)

Automatic reduction planning of pelvic fracture based on symmetry. - Chunpeng Zhao; Mingjun Guan; Chao Shi; Gang Zhu; Xiangyang Gao; Xiangrui Zhao; Yu Wang 083; Xinbao Wu (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Cross-Modality Compensation Convolutional Neural Networks for RGB-D Action Recognition. - Jun Cheng 002; Ziliang Ren; Qieshi Zhang; Xiangyang Gao; Fusheng Hao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Skeleton-Embedded Network for action recognition. - Li Luo; Ziliang Ren; Yong Qin; Qieshi Zhang; Xiangyang Gao (RCAR, 2023)

AAGF: An Efficient Transformer With Mix-Features For Visual Place Recognition. - Kuan Zhou; Zhenyu Xu; Qieshi Zhang; Jun Cheng 002; Ziliang Ren; Xiangyang Gao (ICIP, 2024)

Rail surface defect data enhancement method based on improved ACGAN. - Zhendong He; Xiangyang Gao; Zhiyuan Liu; Xiaoyu An; Anping Zheng (Frontiers Neurorobotics, 2024)

Masked cosine similarity prediction for self-supervised skeleton-based action representation learning. - Ziliang Ren; Ronggui Liu; Yong Qin; Xiangyang Gao; Qieshi Zhang (Pattern Anal. Appl., 2025)