Chenxiao Xu

According to our database, Chenxiao Xu authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

Transverse MNP Signal-Based Isotropic Imaging for Magnetic Particle Imaging.

Lei Li, Yidong Liao, Qibin Wang, Zhonghao Zhang, Dawei Ge, Jiawei Hu, Ning He, Yanjun Liu, Chenxiao Xu, Yunpeng Gao, Pengyue Guo, Hui Hui, Xin Feng, Shouping Zhu, Jie Tian

IEEE Trans. Instrum. Meas., 2024

2021

Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification.

Hao Huang, Chenxiao Xu, Shinjae Yoo

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Flight data anomaly detection and diagnosis with variable association change.

Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Deep Clustering based on Bi-Space Association Learning.

Hao Huang, Shinjae Yoo, Chenxiao Xu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation.

Chenxiao Xu, Hao Huang, Shinjae Yoo

Proceedings of the International Joint Conference on Neural Networks, 2021

Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method.

Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Electricity Load Forecasting with Collective Echo State Networks.

Siwu Liu, Chenxiao Xu, Ying Liu, Dimitrios Katramatos, Shinjae Yoo

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning.

Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network.

Hao Huang, Chenxiao Xu, Shinjae Yoo

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Scalable Causal Graph Learning through a Deep Neural Network.

Chenxiao Xu, Hao Huang, Shinjae Yoo

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

A BDDC algorithm with adaptive primal constraints for staggered discontinuous Galerkin approximation of elliptic problems with highly oscillating coefficients.

Hyea Hyun Kim, Eric T. Chung, Chenxiao Xu

J. Comput. Appl. Math., 2017