Dynamic fusion for ensemble of deep Q-network. - Patrick P. K. Chan; Meng Xiao; Xinran Qin; Natasha Kees (Int. J. Mach. Learn. Cybern., 2021)

Dual-Domain Self-supervised Learning and Model Adaption for Deep Compressive Imaging. - Yuhui Quan; Xinran Qin; Tongyao Pang; Hui Ji (ECCV (30), 2022)

High-Quality Self-Supervised Snapshot Hyperspectral Imaging. - Yuhui Quan; Xinran Qin; Mingqin Chen; Yan Huang 031 (ICASSP, 2022)

Automated testing of image captioning systems. - Boxi Yu; Zhiqing Zhong; Xinran Qin; Jiayi Yao; Yuancheng Wang; Pinjia He (ISSTA, 2022)

Ground-Truth Free Meta-Learning for Deep Compressive Sampling. - Xinran Qin; Yuhui Quan; Tongyao Pang; Hui Ji (CVPR, 2023)

Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis. - Jingjing Ren; Cheng Xu; Haoyu Chen 003; Xinran Qin; Chongyi Li; Lei Zhu 003 (CoRR, 2023)

Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging. - Xinran Qin; Yuhui Quan; Hui Ji (Neural Networks, 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)