A Face Recognition under Varying Illumination. - Haodong Song; Xiaozhu Lin; Zhanlin Liu (IGTA, 2014)

MV-GCN: Multi-View Graph Convolutional Networks for Link Prediction. - Zhao Li 007; Zhanlin Liu; Jiaming Huang; Geyu Tang; Yucong Duan; Zhiqiang Zhang 010; Yifan Yang 001 (IEEE Access, 2019)

Data-driven sparse polynomial chaos expansion for models with dependent inputs. - Zhanlin Liu; Youngjun Choe (CoRR, 2021)

Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion. - Zhanlin Liu; Ashis G. Banerjee; Youngjun Choe (IEEE Trans Autom. Sci. Eng., 2021)

A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline. - Zheng Liu; Yaoming Zhuang; Pengrun Jia; Chengdong Wu 001; Hongli Xu; Zhanlin Liu (CoRR, 2022)

Amos-SLAM: An Anti-Dynamics Two-stage SLAM Approach. - Yaoming Zhuang; Pengrun Jia; Zheng Liu; Li Li; Chengdong Wu 001; Wei Cui 002; Zhanlin Liu (CoRR, 2023)

Skill-LLM: Repurposing General-Purpose LLMs for Skill Extraction. - Amirhossein Herandi; Yitao Li; Zhanlin Liu; Ximin Hu; Xiao Cai (CoRR, 2024)

Amos-SLAM: An Anti-Dynamics Two-Stage RGB-D SLAM Approach. - Yaoming Zhuang; Pengrun Jia; Zheng Liu; Li Li; Chengdong Wu 001; Xinye Lu; Wei Cui 002; Zhanlin Liu (IEEE Trans. Instrum. Meas., 2024)

MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping With Depth Smooth Regularization. - Pengcheng Zhu; Yaoming Zhuang; Baoquan Chen; Li Li; Chengdong Wu 001; Zhanlin Liu (IEEE Robotics Autom. Lett., 2024)