Yuancheng Li

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Deep learning-based method for recognizing violation behaviors of underground personnel.
SPML
Tian Ma, Wenna Zhu, Weilu Shi, Jiahui Li, Yuancheng Li
2024 — conf
Enhancing Non-Coal Object Recognition Using Deep Learning on Conveyor Belts.
SPML
Yuancheng Li, Yalei Hou, Yehui Xie, Mingwei Sheng, Mei Wang, Tian Ma
2023 J jnl
Automatic Compilation of CNN on Reconfigurable Array Processor Based on Scalable Instruction Group Library.
IEEE Access
Yuancheng Li, Na Wang, Mingwei Sheng, Jiaqi Shi
2023 J jnl
Edge Computing With Complementary Capsule Networks for Mental State Detection in Underground Mining Industry.
IEEE Trans. Ind. Informatics
Mei Wang, Jiang Wang, Yuancheng Li, Huimin Lu
2023 J jnl
Vision mechanism model using brain-computer interface for light sensing.
Int. J. Mach. Learn. Cybern.
Mei Wang, Hao Cheng, Yuancheng Li, Hongguang Pan, Gang Wang, Yuan Guo
2022 J jnl
Alertness Estimation Using Connection Parameters of the Brain Network.
IEEE Trans. Intell. Transp. Syst.
Mei Wang, Chen Ma, Li Zhan-Li, Siming Zhang, Yuancheng Li
2022 J jnl
An edge computing method using a novel mode component for power transmission line fault diagnosis in distribution network.
J. Ambient Intell. Humaniz. Comput.
Mei Wang, Wenbin Chai, Changfeng Xu, Lihong Dong, Yuancheng Li, Pai Wang, Xuebin Qin
2022 J jnl
CLSQL: Improved Q-Learning Algorithm Based on Continuous Local Search Policy for Mobile Robot Path Planning.
Sensors
Tian Ma, Jiahao Lyu, Jiayi Yang, Runtao Xi, Yuancheng Li, Jinpeng An, Chao Li
2021 J jnl
A coloring and timing brain-computer interface for the nursing bed robot.
Comput. Electr. Eng.
Yuancheng Li, Tianwei Zheng, Mei Wang, Lihong Dong, Pai Wang, Xuebin Qin
2021 J jnl
Maximum weight multi-modal information fusion algorithm of electroencephalographs and face images for emotion recognition.
Comput. Electr. Eng.
Mei Wang, Ziyang Huang, Yuancheng Li, Lihong Dong, Hongguang Pan
2021 J jnl
RetinexGAN: Unsupervised Low-Light Enhancement With Two-Layer Convolutional Decomposition Networks.
IEEE Access
Tian Ma, Ming Guo, Zhenhua Yu, Yanping Chen, Xincheng Ren, Runtao Xi, Yuancheng Li, Xinlei Zhou