Kaixiang Wang

According to our database, Kaixiang Wang authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Ensemble Feature Selection for Microarray Data Classification.

Xiaojian Ding, Pengcheng Shi, Xin Wang, Kaixiang Wang

IEEE J. Biomed. Health Informatics, June, 2026

Multi-level ensemble feature selection for omics data.

Xiaojian Ding, Xin Wang, Shilin Chen, Kaixiang Wang

Pattern Recognit., 2026

2025

Online Asymmetric Supervised Discrete Cross-Modal Hashing for Streaming Multimedia Data.

Fan Yang, Xinqi Liu, Fumin Ma, Xiaojian Ding, Kaixiang Wang

Pattern Recognit., 2025

Towards a new perspective on Multi-Objective Enhanced Ensemble Classification.

Xiaojian Ding, Xin Wang, Zihan Xu, Pengcheng Shi, Kaixiang Wang

Neurocomputing, 2025

Automatic ensemble feature selection for multi-view data.

Xiaojian Ding, Menghan Cui, Kaixiang Wang

Neurocomputing, 2025

Label-Semantics-Guided Multi-View Multi-Label Learning via High-Order Semantic Fusion.

Kaixiang Wang, Xiaojian Ding, Wanqi Yang, Ming Yang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning.

Kaixiang Wang, Xiaojian Ding, Fan Yang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Multi-view Stable Feature Selection with Adaptive Optimization of View Weights.

Menghan Cui, Kaixiang Wang, Xiaojian Ding, Zihan Xu, Xin Wang, Pengcheng Shi

Knowl. Based Syst., 2024

Non-Overlapped Multi-View Weak-Label Learning Guided by Multiple Correlations.

Kaixiang Wang, Xiaojian Ding, Fan Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Robust fused hypergraph neural networks for multi-label classification.

Kaixiang Wang, Ming Yang, Wanqi Yang, Lei Wang

J. Intell. Fuzzy Syst., 2023

2022

Dual-scale correlation analysis for robust multi-label classification.

Kaixiang Wang, Ming Yang, Wanqi Yang, Lei Wang

Appl. Intell., 2022

2019

Robust Embedding Framework with Dynamic Hypergraph Fusion for Multi-label Classification.

Kaixiang Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Deep Cross-View Label Embedding with Correlation and Structure Preserved for Multi-Label Classification.

Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification.

Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin

Proceedings of The 10th Asian Conference on Machine Learning, 2018