Baohua Li

According to our database, Baohua Li authored at least 26 papers between 2004 and 2023.

Collaborative distances:

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

2023

Multi-channel electrohysterography enabled uterine contraction characterization and its effect in delivery assessment.

Junhua Shen, Yan Liu, Meiyu Zhang, Alain Pumir, Liangshan Mu, Baohua Li, Jinshan Xu

Comput. Biol. Medicine, December, 2023

Influence of Step-Feed Ratio on the Nitrogen Removal Efficiency of Two-Stage AO Process in the Treatment of Municipal Sewage with a Low C/N Ratio.

Baohua Li, Huijun Fan, You Liu

Proceedings of the Fuzzy Systems and Data Mining IX, 2023

2022

An improved intelligent clustering algorithm for irregular wireless network.

Xiang Hua, Zhaoxin Dong, Hongjuan Yao, Zhao Wang, Baohua Li, Bingqing Jiang, Hongtao Liang

Wirel. Networks, 2022

Recognition and counting of typical apple pests based on deep learning.

Tiewei Wang, Longgang Zhao, Baohua Li, Xinwei Liu, Wenkai Xu, Juan Li

Ecol. Informatics, 2022

SiGeSn Technology for All-Group-IV Photonics.

Shui-Qing Yu, Gregory Salamo, Wei Du, Baohua Li, Greg Sun, Richard A. Soref, Yong-Hang Zhang, Guo-En Chang

Proceedings of the Device Research Conference, 2022

2021

A wireless weak-connected network routing algorithm inspired by Physarum polycephalum.

Xiang Hua, Hongjuan Yao, Zhao Wang, Baohua Li, Hai Wang

Comput. Electr. Eng., 2021

Research on many-to-many target assignment for unmanned aerial vehicle swarm in three-dimensional scenarios.

Xiang Hua, Zhao Wang, Hongjuan Yao, Baohua Li, Chenglong Shi, Jiaxian Zuo

Comput. Electr. Eng., 2021

Research on the Influence of Blade Tip Icing on Natural Frequency of Wind Turbine.

Fengze Xie, Yuanjun Dai, Baohua Li, Cong Wang, Kunju Shi

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

Influence of Blade Tip Structure Change on Aerodynamic Noise of Wind Turbine under Yaw.

Yao Hu, Yuanjun Dai, Baohua Li

Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021

2020

Laplacian regularized generalized Dirichlet mixture distribution for data clustering.

Baohua Li, Lixia Hu

Commun. Stat. Simul. Comput., 2020

2019

Tensor Completion From One-Bit Observations.

Baohua Li, Xiaoning Zhang, Xiaoli Li, Huchuan Lu

IEEE Trans. Image Process., 2019

Subspace Clustering Under Complex Noise.

Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu

IEEE Trans. Circuits Syst. Video Technol., 2019

Development of SiGeSn Technique towards Integrated Mid-Infrared Photonics Applications.

Shui-Qing Yu, Yiyin Zhou, Huong Tran, Baohua Li, Seyed Ghetmiri, Aboozar Mosleh, Mansour Mortazavi, Wei Du, Greg Sun, Richard A. Soref, Joe Margetis, John Tolle

Proceedings of the 2019 IEEE BiCMOS and Compound semiconductor Integrated Circuits and Technology Symposium (BCICTS), 2019

2018

Subspace Clustering With K-Support Norm.

Baohua Li, Huchuan Lu, Fu Li, Wei Wu

IEEE Trans. Circuits Syst. Video Technol., 2018

2017

Subspace Clustering Under Multiplicative Noise Corruption.

Baohua Li, Wei Wu

Proceedings of the Intelligence Science and Big Data Engineering, 2017

2016

Making Patient Risk Visible: Implementation of a Nursing Document Information System to Improve Patient Safety.

Panfeng Wang, Hongjun Zhang, Baohua Li, Keke Lin

Proceedings of the Nursing Informatics 2016 - eHealth for All: Every Level Collaboration, 2016

Sample-Specific SVM Learning for Person Re-identification.

Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie, Xiang Ruan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Subspace clustering by Mixture of Gaussian Regression.

Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

EEG-based golf putt outcome prediction using support vector machine.

Qing Guo, Jingxian Wu, Baohua Li

Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014

2011

Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes.

Baohua Li, Jennie Si

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices.

Baohua Li, Jennie Si

IEEE Trans. Neural Networks, 2010

2008

Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices.

Baohua Li, Jennie Si

IEEE Trans. Autom. Control., 2008

Interval least-squares filtering with applications to robust video target tracking.

Baohua Li, Changchun Li, Jennie Si, Glen P. Abousleman

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices.

Baohua Li, Jennie Si

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Optimal interval estimation fusion based on sensor interval estimates with confidence degrees.

Yunmin Zhu, Baohua Li

Autom., 2006

2004

Fault-Tolerant Interval Estimation in Sensor Networks.

Baohua Li, Yunmin Zhu

Proceedings of the Handbook of Sensor Networks, 2004