VLDB 2026 Research / reviewers in the wild / expert
Biao Qu
dblp:118/4100
· DBLP profile ↗
8ranked-venue papers
3as first author
6since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 4 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 3 · 2 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Robust radial MRI reconstruction under multi-scenario mismatch via deep prior guided weighted sparsity
Biao Qu, Taishan Kang, Shaomao Lü, Cina Zheng, Huajun She, Chenchen Dai, Yamei Luo |
Expert Syst. Appl. | 1 |
| 2026 | JSDU-Net: Joint sensitivity-learning driven deep unfolding network for accelerated radial MRI reconstruction
Biao Qu, Huajun She, Qingxia Wu, Pingping Jie, Liulu Zhang, Yuting Fu, Yamei Luo, Taishan Kang, Gaofeng Zheng |
Expert Syst. Appl. | 1 |
| 2026 | DABF-Net : Dynamic adaptive basis fusion network for breast ultrasound image segmentation
Bowen Peng, En Mou, Jiashun Mao, Zhangyong Li, Kangle Yong, Biao Qu, Yamei Luo |
Expert Syst. Appl. | 9 |
| 2025 | Inertial Bregman Proximal Alternating Linearized Minimization Method with Line Search for Non-convex Split Feasibility Problem
Biao Qu, Danping Yang |
TAMC | 2 |
| 2025 | Convergence and Linear Convergence of Alternated Inertial Projection Algorithm for Split Feasibility Problems
Meixia Li, Biao Qu |
TAMC | 3 |
| 2024 | CloudBrain-ReconAI: A Cloud Computing Platform for MRI Reconstruction and Radiologists' Image Quality EvaluationabstractEfficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (MRI). Here, we develop CloudBrain-ReconAI, an online cloud computing platform, for algorithm deployment, fast and blind reader study. This platform supports online image reconstruction using state-of-the-art artificial intelligence and compressed sensing algorithms with applications for fast imaging (Cartesian and non-Cartesian sampling) and high-resolution diffusion imaging. Through visiting the website, radiologists can easily score and mark images. Then, automatic statistical analysis will be provided. Yirong Zhou, Zi Wang 0005, Biao Qu, Liuhong Zhu, Jianjun Zhou 0004, Taishan Kang, Jianzhong Lin, Qing Hong, Jiyang Dong, Di Guo 0003, Xiaobo Qu 0001 |
IEEE Trans. Cloud Comput. | 6 |
| 2020 | Convergence analysis of a projection algorithm for variational inequality problems
Biao Qu, Changyu Wang, Fanwen Meng |
J. Glob. Optim. | 1 |
| 2017 | Global saddle points of nonlinear augmented Lagrangian functions
Changyu Wang, Qian Liu 0016, Biao Qu |
J. Glob. Optim. | 3 |