Wenzhang Zhuge

According to our database, Wenzhang Zhuge authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Multi-Instance Learning with One Side Label Noise.

Tianxiang Luan, Shilin Gu, Xijia Tang, Wenzhang Zhuge, Chenping Hou

ACM Trans. Knowl. Discov. Data, June, 2024

Absent Multiview Semisupervised Classification.

Wenzhang Zhuge, Tingjin Luo, Ruidong Fan, Hong Tao, Chenping Hou, Dongyun Yi

IEEE Trans. Cybern., March, 2024

2023

Active label distribution learning via kernel maximum mean discrepancy.

Xinyue Dong, Tingjin Luo, Ruidong Fan, Wenzhang Zhuge, Chenping Hou

Frontiers Comput. Sci., August, 2023

Semi-Supervised Learning With Label Proportion.

Ningzhao Sun, Tingjin Luo, Wenzhang Zhuge, Hong Tao, Chenping Hou, Dewen Hu

IEEE Trans. Knowl. Data Eng., 2023

2022

Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data.

Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi

IEEE Trans. Knowl. Data Eng., 2022

2021

Fragmentary Multi-Instance Classification.

Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou

IEEE Trans. Cybern., 2021

Incomplete multi-view learning via half-quadratic minimization.

Jiacheng Jiang, Hong Tao, Ruidong Fan, Wenzhang Zhuge, Chenping Hou

Neurocomputing, 2021

Active label distribution learning.

Xinyue Dong, Shilin Gu, Wenzhang Zhuge, Tingjin Luo, Chenping Hou

Neurocomputing, 2021

2020

Multi-view subspace learning via bidirectional sparsity.

Ruidong Fan, Tingjin Luo, Wenzhang Zhuge, Sheng Qiang, Chenping Hou

Pattern Recognit., 2020

Joint consensus and diversity for multi-view semi-supervised classification.

Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi

Mach. Learn., 2020

Randomized multi-label subproblems concatenation via error correcting output codes.

Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi

Neurocomputing, 2020

Multi-View Spectral Clustering With Incomplete Graphs.

Wenzhang Zhuge, Tingjin Luo, Hong Tao, Chenping Hou, Dongyun Yi

IEEE Access, 2020

Optimal Representative Distribution Margin Machine for Multi-Instance Learning.

Tianxiang Luan, Tingjin Luo, Wenzhang Zhuge, Chenping Hou

IEEE Access, 2020

2019

Full Representation Data Embedding via Nonoverlapping Historical Features.

Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi

IEEE Trans. Cybern., 2019

Co-learning binary classifiers for LP-based multi-label classification.

Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi

Cogn. Syst. Res., 2019

Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data.

Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Partial multi-view spectral clustering.

Yang Cai, Yuanyuan Jiao, Wenzhang Zhuge, Hong Tao, Chenping Hou

Neurocomputing, 2018

Incomplete Multi-view Clustering via Structured Graph Learning.

Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Co-learning Binary Classifiers for LP-Based Multi-label Classification.

Jincheng Shan, Chenping Hou, Wenzhang Zhuge, Dongyun Yi

Proceedings of the Intelligence Science and Big Data Engineering, 2018

2017

Unsupervised Single and Multiple Views Feature Extraction with Structured Graph.

Wenzhang Zhuge, Feiping Nie, Chenping Hou, Dongyun Yi

IEEE Trans. Knowl. Data Eng., 2017

2016

Unsupervised feature extraction using a learned graph with clustering structure.

Wenzhang Zhuge, Chenping Hou, Feiping Nie, Dongyun Yi

Proceedings of the 23rd International Conference on Pattern Recognition, 2016