Qifan Xu

According to our database, Qifan Xu authored at least 11 papers between 2015 and 2025.

Collaborative distances:

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

2025

MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration.

Hengjie Liu, Elizabeth McKenzie, Di Xu, Qifan Xu, Robert K. Chin, Dan Ruan, Ke Sheng

Medical Image Anal., 2025

Unbalanced Vibration Suppression of Active Magnetic Bearing System based on Parameter Identification.

Yuanhao Du, Qifan Xu, Wenfei Yu, Wei Hua

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

2023

An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis.

Di Xu, Qifan Xu, Kevin Nhieu, Dan Ruan, Ke Sheng

CoRR, 2023

An Efficient 2D Method for Training Super-Large Deep Learning Models.

Qifan Xu, Yang You

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Sensorless Control of PMSM Based on A Novel Adaptive Gain Super Twisting Algorithm-Sliding Mode Observer.

Qifan Xu, Jin Gao, Mingzhe Zhang, Qianxiang Liu

Proceedings of the 6th International Conference on Electronics and Electrical Engineering Technology, 2023

2022

To What Extent Can Plug-and-Play Methods Outperform Neural Networks Alone In Low-Dose CT Reconstruction.

Qifan Xu, Qihui Lyu, Dan Ruan, Ke Sheng

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Tesseract: Parallelize the Tensor Parallelism Efficiently.

Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

2.5-dimensional distributed model training.

Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You

CoRR, 2021

Maximizing Parallelism in Distributed Training for Huge Neural Networks.

Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You

CoRR, 2021

An Efficient 2D Method for Training Super-Large Deep Learning Models.

Qifan Xu, Shenggui Li, Chaoyu Gong, Yang You

CoRR, 2021

2015

Multilevel Dimension Reduction Monte-Carlo Simulation for High-dimensional Stochastic Models in Finance.

Duy-Minh Dang, Qifan Xu, Shangzhe Wu

Proceedings of the International Conference on Computational Science, 2015