Zhongheng Li

According to our database, Zhongheng Li authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction.

Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie

Pattern Recognit., February, 2024

2023

Efficient random subspace decision forests with a simple probability dimensionality setting scheme.

Quan Wang, Fei Wang, Zhongheng Li, Peilin Jiang, Fuji Ren, Feiping Nie

Inf. Sci., August, 2023

Efficient Multi-View K-Means Clustering With Multiple Anchor Graphs.

Ben Yang, Xuetao Zhang, Zhongheng Li, Feiping Nie, Fei Wang

IEEE Trans. Knowl. Data Eng., July, 2023

An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis.

Quan Wang, Fei Wang, Fuji Ren, Zhongheng Li, Feiping Nie

IEEE Trans. Knowl. Data Eng., April, 2023

Fine-grained Activities of People Worldwide.

Jeffrey Byrne, Greg Castañón, Zhongheng Li, Gil J. Ettinger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2021

Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.

Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang

IEEE Trans. Knowl. Data Eng., 2021

Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images.

Zhongheng Li, Fang He, Haojie Hu, Fei Wang, Weizhong Yu

Remote. Sens., 2021

Flexible multi-view semi-supervised learning with unified graph.

Zhongheng Li, Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie

Neural Networks, 2021

2020

A linear multivariate binary decision tree classifier based on K-means splitting.

Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Fuji Ren

Pattern Recognit., 2020

A forest of trees with principal direction specified oblique split on random subspace.

Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng Li

Neurocomputing, 2020

Robust and Scalable Entity Alignment in Big Data.

James Flamino, Christopher Abriola, Benjamin Zimmerman, Zhongheng Li, Joel Douglas

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Feature Learning Viewpoint of Adaboost and a New Algorithm.

Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie

IEEE Access, 2019

2016

An Accurate Measurement System for Non-cooperative Spherical Target Based on Calibrated Lasers.

Hang Dong, Fei Wang, Haiwei Yang, Zhongheng Li, Yanan Chen

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016