Multilevel Dimension Reduction Monte-Carlo Simulation for High-dimensional Stochastic Models in Finance. - Duy-Minh Dang; Qifan Xu; Shangzhe Wu (ICCS, 2015)

An Efficient 2D Method for Training Super-Large Deep Learning Models. - Qifan Xu; Shenggui Li; Chaoyu Gong; Yang You 001 (CoRR, 2021)

Maximizing Parallelism in Distributed Training for Huge Neural Networks. - Zhengda Bian; Qifan Xu; Boxiang Wang; Yang You 001 (CoRR, 2021)

2.5-dimensional distributed model training. - Boxiang Wang; Qifan Xu; Zhengda Bian; Yang You 001 (CoRR, 2021)

Tesseract: Parallelize the Tensor Parallelism Efficiently. - Boxiang Wang; Qifan Xu; Zhengda Bian; Yang You 001 (ICPP, 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 (ISBI, 2022)

Sensorless Control of PMSM Based on A Novel Adaptive Gain Super Twisting Algorithm-Sliding Mode Observer. - Qifan Xu; Jin Gao; Mingzhe Zhang; Qianxiang Liu (EEET, 2023)

An Efficient 2D Method for Training Super-Large Deep Learning Models. - Qifan Xu; Yang You 001 (IPDPS, 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)

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)