Xinran Qin

According to our database, Xinran Qin authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Robust Unsupervised Deep Learning for Nonblind Image Deconvolution With Inaccurate Kernels.

Xinran Qin, Yuhui Quan, Zhuojie Chen, Hui Ji

IEEE Trans. Neural Networks Learn. Syst., September, 2025

2024

Siamese Cooperative Learning for Unsupervised Image Reconstruction From Incomplete Measurements.

Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging.

Xinran Qin, Yuhui Quan, Hui Ji

Neural Networks, 2024

2023

Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis.

Jingjing Ren, Cheng Xu, Haoyu Chen, Xinran Qin, Chongyi Li, Lei Zhu

CoRR, 2023

Ground-Truth Free Meta-Learning for Deep Compressive Sampling.

Xinran Qin, Yuhui Quan, Tongyao Pang, Hui Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automated testing of image captioning systems.

Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

High-Quality Self-Supervised Snapshot Hyperspectral Imaging.

Yuhui Quan, Xinran Qin, Mingqin Chen, Yan Huang

Proceedings of the IEEE International Conference on Acoustics, 2022

Dual-Domain Self-supervised Learning and Model Adaption for Deep Compressive Imaging.

Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Dynamic fusion for ensemble of deep Q-network.

Patrick P. K. Chan, Meng Xiao, Xinran Qin, Natasha Kees

Int. J. Mach. Learn. Cybern., 2021