Jiaxuan Xu

According to our database, Jiaxuan Xu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Topological-aware multiple kernel learning for ensemble clustering.

Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du

Pattern Recognit., 2026

AURORA: An Adaptive Multi-granularity Graph Learning Framework for Drug Repositioning.

Yidan Zhang, Lei Duan, Huiru Zheng, Jiaxuan Xu

Proceedings of the Database Systems for Advanced Applications, 2026

2025

Learning Decision Boundaries for Multidimensional Anomaly Detection.

Xinye Wang, Lei Duan, Lili Guan, Jiaxuan Xu, Chengxin He

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction.

Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du

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

Global-Memory and Local-Representation Based Framework for Streaming Anomaly Detection.

Yuejun Zhao, Jiaxuan Xu, Xinye Wang, Chengxin He, Shangyong Luo, Rui Lin, Lei Duan

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024

Ensemble clustering via fusing global and local structure information.

Jiaxuan Xu, Taiyong Li, Duzhong Zhang, Jiang Wu

Expert Syst. Appl., March, 2024

Ensemble clustering with low-rank optimal Laplacian matrix learning.

Jiaxuan Xu, Taiyong Li

Appl. Soft Comput., January, 2024

Adaptive weighted ensemble clustering via kernel learning and local information preservation.

Taiyong Li, Xiaoyang Shu, Jiang Wu, Qingxiao Zheng, Xi Lv, Jiaxuan Xu

Knowl. Based Syst., 2024

Ensemble clustering via dual self-enhancement by alternating denoising and topological consistency propagation.

Jiaxuan Xu, Taiyong Li, Jiang Wu, Duzhong Zhang

Appl. Soft Comput., 2024

AgileAD: Anchor-Guided Contrastive Learning with a General Data Augmentation Strategy for Time Series Anomaly Detection.

Yulong Tian, Jiaxuan Xu, Jie Zuo, Lei Duan

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights.

Jiaxuan Xu, Taiyong Li, Lei Duan

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

2023

Recursive lightweight convolutional neural networks that make noisy images purer and purer.

Jiayi Shi, Taiyong Li, Jiaxuan Xu

Vis. Comput., December, 2023

2022

Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2, 1-Norm.

Jiaxuan Xu, Jiang Wu, Taiyong Li, Yang Nan

Entropy, 2022