A novel vSLAM framework with unsupervised semantic segmentation based on adversarial transfer learning. - Sheng Jin 003; Liang Chen; Rongchuan Sun; Seán F. McLoone (Appl. Soft Comput., 2020)

Improved Deep Distance Learning for Visual Loop Closure Detection in Smart City. - Sheng Jin 003; Yu Gao; Liang Chen (Peer-to-Peer Netw. Appl., 2020)

Uncertainty-driven active view planning in feature-based monocular vSLAM. - Xu-Yang Dai; Qing-Hao Meng; Sheng Jin 003 (Appl. Soft Comput., 2021)

Towards a Robust Visual Place Recognition in Large-Scale vSLAM Scenarios Based on a Deep Distance Learning. - Liang Chen; Sheng Jin 003; Zhoujun Xia (Sensors, 2021)

Camera view planning based on generative adversarial imitation learning in indoor active exploration. - Xu-Yang Dai; Qing-Hao Meng; Sheng Jin 003; Yin-Bo Liu (Appl. Soft Comput., 2022)

PFD-SLAM: A New RGB-D SLAM for Dynamic Indoor Environments Based on Non-Prior Semantic Segmentation. - Chenyang Zhang; Rongchun Zhang; Sheng Jin 003; Xuefeng Yi (Remote. Sens., 2022)

"Focusing on the right regions" - Guided saliency prediction for visual SLAM. - Sheng Jin 003; Xu-Yang Dai; Qing-Hao Meng (Expert Syst. Appl., 2023)

Loop closure detection with patch-level local features and visual saliency prediction. - Sheng Jin 003; Xu-Yang Dai; Qing-Hao Meng (Eng. Appl. Artif. Intell., 2023)

Spatial memory-augmented visual navigation based on hierarchical deep reinforcement learning in unknown environments. - Sheng Jin 003; Xinming Wang; Qinghao Meng (Knowl. Based Syst., 2024)

I2KEN: Intra-Domain and Inter-Domain Knowledge Enhancement Network for Lifelong Loop Closure Detection. - Hongwei Qian; Sheng Jin 003; Liang Chen (IEEE Robotics Autom. Lett., 2025)