Kaixiang Wang

According to our database, Kaixiang Wang authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

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

2021

Robust Cross-View Embedding With Discriminant Structure for Multi-Label Classification.

Kaixiang Wang

IEEE Access, 2021

2020

Adaptive Scan for Atomic Force Microscopy Based on Online Optimization: Theory and Experiment.

Kaixiang Wang, Michael G. Ruppert, Chris Manzie, Dragan Nesic, Yuen Kuan Yong

IEEE Trans. Control. Syst. Technol., 2020

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

A C-LSTM with Word Embedding Model for News Text Classification.

Minyong Shi, Kaixiang Wang, Chunfang Li

Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019

2018

面向查询的自动文本摘要技术研究综述 (Survey of Query-oriented Automatic Summarization Technology).

Kaixiang Wang

计算机科学, 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

A Greedy and Genetic Fusion Algorithm for Solving Course Timetabling Problem.

Kaixiang Wang, Wenqian Shang, Mengyu Liu, Weiguo Lin, Hao Fu

Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science, 2018

2017

Extremum-seeking-based adaptive scan for atomic force microscopy.

Kaixiang Wang, Chris Manzie, Dragan Nesic

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Outcome prediction of DOTA2 based on Naïve Bayes classifier.

Kaixiang Wang, Wenqian Shang

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016

A framework for reference generation and control in AFM imaging.

Kaixiang Wang, Chris Manzie, Dragan Nesic

Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016