Meixia Wang

According to our database, Meixia Wang authored at least 17 papers between 2013 and 2026.

Collaborative distances:

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

2026

Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning.

Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan, Xingwei Wang

Proceedings of the ACM Web Conference 2026, 2026

Graph-to-Tree: Topological Decomposition for Self-Supervised Learning.

Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang, Shirui Pan

Proceedings of the ACM Web Conference 2026, 2026

Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification.

Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang, Fenglong Ma, Fazal Wahab, Wen Shan, Xingwei Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Study on the evolution mechanism of three-dimensional fracture networks in rock induced by CO2 fracturing tube blasting.

Zhiyuan Zhang, Weimin Yang, Meixia Wang, Linkun Jin, Xuan Song, Enming Zhang, Cong Tian, Fengqiang Gong

Simul. Model. Pract. Theory, 2025

Dual-granularity multi-instance multi-label learning with variational autoencoder.

Meixia Wang, Yuhai Zhao, Yejiang Wang, Miaomiao Huang, Xuze Liu, Xingwei Wang

Knowl. Based Syst., 2025

Multi-graph multi-instance multi-label learning via disentangled information mining.

Miaomiao Huang, Yuhai Zhao, Yejiang Wang, Meixia Wang, Xingwei Wang

Expert Syst. Appl., 2025

Coloring Learning for Heterophilic Graph Representation.

Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang, Fenglong Ma, Yejiang Wang, Meixia Wang, Xingwei Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

N2GON: Neural Networks for Graph-of-Net with Position Awareness.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

An Ice Loss Evaluation of Lake-Terminating Glaciers Based on Lake Bathymetry - A Case Study of the Jiongpu Glacier.

Da Li, Donghui Shangguan, Tianding Han, Asim Qayyum Butt, Baotian Pan, Bo Cao, Meixia Wang, Rongjun Wang, Yaojun Li

Remote. Sens., August, 2024

Towards Robust Multi-Label Learning against Dirty Label Noise.

Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Image emotion multi-label classification based on multi-graph learning.

Meixia Wang, Yuhai Zhao, Yejiang Wang, Tongze Xu, Yiming Sun

Expert Syst. Appl., November, 2023

A Comparative Study of a Typical Glacial Lake in the Himalayas before and after Engineering Management.

Zhaoye Zhou, Xiaoqiang Cheng, Donghui Shangguan, Wangping Li, Da Li, Beibei He, Meixia Wang, Qing Ling, Xiuxia Zhang, Xiaoxian Wang, Lu Chen, Yadong Liu, Wei Chen

Remote. Sens., January, 2023

Image Denoising Method Relying on Iterative Adaptive Weight-Mean Filtering.

Meixia Wang, Susu Wang, Xiaoqin Ju, Yanhong Wang

Symmetry, 2023

Optimal service quality and pricing for App service supply chain with network externality based on four different scenarios.

Peng Xing, Meixia Wang, Junzhu Yao

Kybernetes, 2023

Robust Self-Supervised Multi-Instance Learning with Structure Awareness.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Quality Effort Strategy of O2O Takeout Service Supply Chain under Three Operation Modes.

Peng Xing, Junzhu Yao, Meixia Wang

Complex., 2022

2013

Exploring the Molecular Mechanism of Cross-Resistance to HIV-1 Integrase Strand Transfer Inhibitors by Molecular Dynamics Simulation and Residue Interaction Network Analysis.

Weiwei Xue, Xiaojie Jin, Lulu Ning, Meixia Wang, Huanxiang Liu, Xiaojun Yao

J. Chem. Inf. Model., 2013