Kai Li

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Background-Adaptive Neural Networks for Surface Mount Device Defect Segmentation by Comparing With Positive Samples.
IEEE Trans. Consumer Electron.
Tongzhi Niu, Biao Chen, Yexin Fan, Kai Li, Fuqiang Zhong, Bin Li, Hui Zhang
2025 J jnl
LiDAR-Based Autonomous Exploration Method of Mobile Robot Using Deep Reinforcement Learning in Unknown Environments.
IEEE Trans. Instrum. Meas.
Chizhou Zhang, Mingsong Chen, Yongcheng Lin, Huaguo Cheng, Guanqiang Wang, Kai Li, Jun Tang, Zehao Li, Lirui Shen, Qiu Wang
2025 J jnl
Parallel Deep Learning for NLOS Detection and Error Mitigation in UWB Positioning.
IEEE Internet Things J.
Qiu Wang, Mingsong Chen, Jia-Jie Liu, Wei-Dong Zeng, Xin Yan, Yong-Cheng Lin, Kai Li, Chi-Zhou Zhang
2024 J jnl
A Novel NLOS Identification and Error Mitigation Method for UWB Ranging and Positioning.
IEEE Commun. Lett.
Qiu Wang, Ming-Song Chen, Guanqiang Wang, Kai Li, Yong-Cheng Lin, Zehao Li, Chi-Zhou Zhang
2024 J jnl
A domain adversarial graph convolutional network for intelligent monitoring of tool wear in machine tools.
Comput. Ind. Eng.
Kai Li, Zhoulong Li, Xianshi Jia, Lei Liu, Mingsong Chen
2024 J jnl
E-Planner: An Efficient Path Planner on a Visibility Graph in Unknown Environments.
IEEE Trans. Instrum. Meas.
Chi-Zhou Zhang, Guanqiang Wang, Mingsong Chen, Yong-Cheng Lin, Kai Li, Minjie Wu, Zehao Li, Qiu Wang
2024 J jnl
Efficient multi-branch dynamic fusion network for super-resolution of industrial component image.
Displays
Guanqiang Wang, Mingsong Chen, Yong-Cheng Lin, Xianhua Tan, Chi-Zhou Zhang, WenXin Yao, Baihui Gao, Kai Li, Zehao Li, Weidong Zeng
2024 J jnl
Learning trustworthy model from noisy labels based on rough set for surface defect detection.
Appl. Soft Comput.
Tongzhi Niu, Zhenrong Wang, Weifeng Li, Kai Li, Yuwei Li, Guiyin Xu, Bin Li
2023 J jnl
Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection.
CoRR
Tongzhi Niu, Bin Li, Kai Li, Yufeng Lin, Yuwei Li, Weifeng Li, Zhenrong Wang
2022 J jnl
A novel adversarial domain adaptation transfer learning method for tool wear state prediction.
Knowl. Based Syst.
Kai Li, Mingsong Chen, Yongcheng Lin, Zhou Li, Xianshi Jia, Bin Li
2022 J jnl
A weighted adaptive transfer learning for tool tip dynamics prediction of different machine tools.
Comput. Ind. Eng.
Kai Li, Chaochao Qiu, Yongcheng Lin, Mingsong Chen, Xianshi Jia, Bin Li
2022 J jnl
Modeling and tagging of time sequence signals in the milling process based on an improved hidden semi-Markov model.
Expert Syst. Appl.
Kai Li, Chaochao Qiu, Xinzhao Zhou, Mingsong Chen, Yongcheng Lin, Xianshi Jia, Bin Li
2020 J jnl
Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion.
IEEE Trans. Ind. Informatics
Chengming Shi, Bo Luo, Songping He, Kai Li, Hongqi Liu, Bin Li