Gaoxia Jiang

According to our database, Gaoxia Jiang authored at least 19 papers between 2015 and 2026.

Collaborative distances:

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

2026

Class-Aware Multi-Granularity Co-Diffusion Models for Learning With Noisy Labels on Imbalanced Datasets.

Senyu Hou, Gaoxia Jiang, Yaqing Guo, Wenjian Wang

IEEE Trans. Knowl. Data Eng., March, 2026

A multi-model dynamic filtering of label noise for regression.

Gaoxia Jiang, Fan Lei, Wenjian Wang

Pattern Recognit., 2026

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework.

Hangyuan Du, Rong Wang, Lixin Cui, Gaoxia Jiang, Liang Bai, Wenjian Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective.

Mingming Han, Husheng Guo, Gaoxia Jiang, Wenjian Wang

IEEE Trans. Knowl. Data Eng., November, 2025

An interpretable sample selection framework against numerical label noise.

Gaoxia Jiang, Wenjian Wang

Mach. Learn., January, 2025

Outlier-trimmed dual-interval smoothing loss for sample selection in learning with noisy labels.

Senyu Hou, Maolong Xu, Gaoxia Jiang, Yaqing Guo, Wenjian Wang

Neural Networks, 2025

Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion.

Senyu Hou, Yuru Ren, Gaoxia Jiang, Wenjian Wang

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

Directional Label Diffusion Model for Learning from Noisy Labels.

Senyu Hou, Gaoxia Jiang, Jia Zhang, Shangrong Yang, Husheng Guo, Yaqing Guo, Wenjian Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths.

Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang

Proceedings of the IEEE International Conference on Big Data, 2025

CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction.

Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Maximum a posteriori estimation and filtering algorithm for numerical label noise.

Gaoxia Jiang, Zhengying Li, Wenjian Wang

Appl. Intell., October, 2024

Noise cleaning for nonuniform ordinal labels based on inter-class distance.

Gaoxia Jiang, Fei Wang, Wenjian Wang

Appl. Intell., June, 2024

A general elevating framework for label noise filters.

Qingqiang Chen, Gaoxia Jiang, Fuyuan Cao, Changqian Men, Wenjian Wang

Pattern Recognit., March, 2024

Which Is More Effective in Label Noise Cleaning, Correction or Filtering?

Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective.

Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang

J. Mach. Learn. Res., 2021

2019

A novel distance measure for time series: Maximum shifting correlation distance.

Gaoxia Jiang, Wenjian Wang, Wenkai Zhang

Pattern Recognit. Lett., 2019

2017

Error estimation based on variance analysis of k-fold cross-validation.

Gaoxia Jiang, Wenjian Wang

Pattern Recognit., 2017

Markov cross-validation for time series model evaluations.

Gaoxia Jiang, Wenjian Wang

Inf. Sci., 2017

2015

数据拟合中光滑参数的优化 (Optimization for Smoothing Parameter in Process of Data Fitting).

Li Wang, Wenjian Wang, Gaoxia Jiang

计算机科学, 2015