MLRMV: Multi-layer representation for multi-view action recognition. - Zhigang Liu 014; Ziyang Yin; Yin Wu (Image Vis. Comput., 2021)

Task-driven joint dictionary learning model for multi-view human action recognition. - Zhigang Liu 014; Lei Wang; Ziyang Yin; Yanbo Xue (Digit. Signal Process., 2022)

Unsupervised video segmentation for multi-view daily action recognition. - Zhigang Liu 014; Yin Wu; Ziyang Yin; Chunlei Gao (Image Vis. Comput., 2023)

Multi-view daily action recognition based on Hooke balanced matrix and broad learning system. - Zhigang Liu 014; Bingshuo Lu; Yin Wu; Chunlei Gao (Image Vis. Comput., 2024)

Multi-layer representation for cross-view action recognition. - Zhigang Liu 014; Yin Wu; Ziyang Yin (Inf. Sci., 2024)

AMtrack: Anti-occlusion multi-object tracking algorithm. - Zhigang Liu 014; Xiaohang Huang; Jianwei Sun; Xinchang Zhang (Signal Image Video Process., 2024)

Facial action units guided graph representation learning for multimodal depression detection. - Changzeng Fu; Fengkui Qian; Yikai Su; Kaifeng Su; Siyang Song; Mingyue Niu; Jiaqi Shi; Zhigang Liu 014; Chaoran Liu; Carlos Toshinori Ishi; Hiroshi Ishiguro (Neurocomputing, 2025)

IoU-guided Siamese network with high-confidence template fusion for visual tracking. - Zhigang Liu 014; Hao Huang; Hongyu Dong; Fuyuan Xing (Neurocomputing, 2025)

HiMul-LGG: A hierarchical decision fusion-based local-global graph neural network for multimodal emotion recognition in conversation. - Changzeng Fu; Fengkui Qian; Kaifeng Su; Yikai Su; Ze Wang; Jiaqi Shi; Zhigang Liu 014; Chaoran Liu; Carlos Toshinori Ishi (Neural Networks, 2025)