Kernel-VIO : An Optimization-based Tightly Coupled Indirect Visual-Inertial Odometry. - Shuyue Lin; Xuetao Zhang 002; Yisha Liu; Yuqing Chen; Yan Zhuang (M2VIP, 2021)

A Decentralized Fault Section Location Method Using Autoencoder and Feature Fusion in Resonant Grounding Distribution Systems. - Zi-Jing Li; Shuyue Lin; Mou-Fa Guo; J. Tang (IEEE Syst. J., 2022)

Application of semantic segmentation in High-Impedance fault diagnosis combined signal envelope and Hilbert marginal spectrum for resonant distribution networks. - Jian-Hong Gao; Mou-Fa Guo; Shuyue Lin; Duan-Yu Chen (Expert Syst. Appl., 2023)

Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks. - Cui Hong; Heng-Yi Qiu; Jian-Hong Gao; Shuyue Lin; Mou-Fa Guo (IEEE Trans. Instrum. Meas., 2024)

FLM PL-VIO: A Robust Monocular Point-Line Visual-Inertial Odometry Based on Fast Line Matching. - Shuyue Lin; Xuetao Zhang 002; Yisha Liu; Hanzhang Wang; Xuebo Zhang; Yan Zhuang (IEEE Trans. Ind. Electron., 2024)

Semantic-segmentation-based approach for early detection and type recognition of single-phase ground fault in resonant distribution networks. - Jian-Hong Gao; Mou-Fa Guo; Shuyue Lin; Duan-Yu Chen; Hao Bai (Appl. Soft Comput., 2025)

Deep learning approach for single-phase ground fault section location via feature fusion in resonant distribution networks. - Jian-Hong Gao; Mou-Fa Guo; Shuyue Lin; Duan-Yu Chen; Hao Bai (Expert Syst. Appl., 2025)

Explainable Deep Learning Approach for High Impedance Fault Localization in Resonant Distribution Networks Considering Quantization Noise. - Jian-Hong Gao; Mou-Fa Guo; Shuyue Lin; Qiteng Hong (Int. J. Circuit Theory Appl., 2025)

Wind Turbine Fault-Tolerant Control via Incremental Model-Based Reinforcement Learning. - Jingjie Xie; Hongyang Dong; Xiaowei Zhao 001; Shuyue Lin (IEEE Trans Autom. Sci. Eng., 2025)