| 2025 | ICML | Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion. | Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang, Jian-Feng Cai |
| 2024 | CEC | Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. | Hao Hao, Xiaoqun Zhang, Aimin Zhou |
| 2023 | ICLR | AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection. | Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang |
| 2023 | MICCAI | PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection. | Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang |
| 2023 | WWW | Robust Graph Representation Learning for Local Corruption Recovery. | Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang |
| 2022 | MICCAI | MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation. | Qiaoqiao Ding, Xiaoqun Zhang |
| 2021 | MICCAI | Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction. | Qiaoqiao Ding, Hui Ji, Hao Gao, Xiaoqun Zhang |
| 2018 | MICCAI | Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion. | Jiulong Liu, Tao Kuang, Xiaoqun Zhang |