Mingyuan Zhao

According to our database, Mingyuan Zhao authored at least 12 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A systematic review for the fatigue driving behavior recognition method.

Junjian Hou, Yaxiong Xu, Wenbin He, Yudong Zhong, Dengfeng Zhao, Fang Zhou, Mingyuan Zhao, Shesen Dong

J. Intell. Fuzzy Syst., January, 2024

PAS-SLAM: A Visual SLAM System for Planar Ambiguous Scenes.

Xinggang Hu, Yanmin Wu, Mingyuan Zhao, Linghao Yang, Xiangkui Zhang, Xiangyang Ji

CoRR, 2024

2023

Status Quo and Influence of Martial Arts Fitness in Pursuit of Health Using LSTM Recurrent Neural Network Algorithm.

Chen Li, Mingyuan Zhao, Xiuhan Zhao

Int. J. Comput. Intell. Syst., December, 2023

Improve in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging.

Mingyuan Zhao, Yongzhi Zhang

CoRR, 2023

LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results.

Hao Sheng, Yebin Liu, Jingyi Yu, Gaochang Wu, Wei Xiong, Ruixuan Cong, Rongshan Chen, Longzhao Guo, Yanlin Xie, Shuo Zhang, Song Chang, Youfang Lin, Wentao Chao, Xuechun Wang, Guanghui Wang, Fuqing Duan, Tun Wang, Da Yang, Zhenglong Cui, Sizhe Wang, Mingyuan Zhao, Qiong Wang, Qianyu Chen, Zhengyu Liang, Yingqian Wang, Jungang Yang, Xueting Yang, Junli Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-view Semantic Information Guidance for Light Field Image Segmentation.

Yiming Li, Ruixuan Cong, Sizhe Wang, Mingyuan Zhao, Yang Zhang, Fangping Li, Hao Sheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020

FDM: fast dense matching based on sparse matching.

Di Jia, Mingyuan Zhao, Jun Cao

Signal Image Video Process., 2020

2017

Progressive graph-signal sampling and encoding for static 3D geometry representation.

Mingyuan Zhao, Gene Cheung, Dinei A. F. Florêncio, Xiangyang Ji

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2012

Parameter selection of support vector machines and genetic algorithm based on change area search.

Mingyuan Zhao, Jian Ren, Luping Ji, Chong Fu, Jianping Li, Mingtian Zhou

Neural Comput. Appl., 2012

2011

Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes.

Mingyuan Zhao, Chong Fu, Luping Ji, Ke Tang, Mingtian Zhou

Expert Syst. Appl., 2011

2009

Improving Kalign via Reconstruction of Phylogenetic Tree and Iteration.

Fan Yang, Qingxin Zhu, Mingyuan Zhao

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2007

Feature Extraction and Parameters Selection of Classification Model on Brain-Computer Interface.

Mingyuan Zhao, Mingtian Zhou, Qingxin Zhu, Ping Yang

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007