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Xie Qi, Fu Jiahong, Xu Zongben, Meng Deyu*. Rotation Equivariant Arbitrary-scale Image Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2025. [code]
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Pang Zhiqiang, Wang Hong, Xie Qi*, Meng Deyu, Xu Zongben. TRG-Net: An Interpretable and Controllable Rain Generator. IEEE Transactions on Neural Networks and Learning Systems, 2025.
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Sun Zihong, Wang Hong, Xie Qi*, Zheng Yefeng, Meng Deyu. RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 2025
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Liu Hanze, Fu Jiahong, Xie Qi*, Meng Deyu. Rotation-Equivariant Self-Supervised Method in Image Denoising, CVPR, 2025. [code]
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Bai Yulu , Fu Jiahong, Xie Qi*, Meng Deyu. A Regularization-Guided Equivariant Approach for Image Restoration, CVPR, 2025. [code]
- Tan Feiyu, Wang Yuhan, Xie Qi*, et al. DS-Net: A Model Driven Network Framework for Lesion Segmentation on Fundus Image[J]. Knowledge-Based Systems, 2025, 315: 113242.
- Jiahong Fu, Xie Qi*, Meng Deyu, Xu Zongben. Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024.
- Xie Qi, Zhao Qian, Xu Zongben, Meng Deyu. Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2023. [code]
- Xie Qi, Zhou Minghao, Zhao Qian, Meng Deyu and Xu Zongben. MHF-Net: An interpretable deep network for multispectral and hyperspectral image fusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2020, 44(3): 1457-1473. ( ESI高被引)
- Xie Qi, Zhao Qian, Meng Deyu and Xu Zongben. Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2018, 40(8):1888–1902. (ESI高被引)
- Xie Qi, Zeng Dong, Zhao Qian, Meng Deyu, Xu Zongben, Liang Zhengrong and Ma Jianhua. Robust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism[J]. IEEE Transactions on Medical Imaging (TMI). 2017, 36(12):2487–2498.
- Xie Qi, Zhao Qian, Meng Deyu, Xu Zongben, Gu Shuhang, Zuo Wangmeng and Zhang Lei. Multispectral images denoising by intrinsic tensor sparsity regularization[C]. CVPR, 2016: 1692–1700.
- Xie Qi, Zhou Minghao, Zhao Qian, Meng Deyu*, Wangmeng Zuo and Xu Zongben. Multispectral and hyperspectral image fusion by MS/HS fusion net[C]. CVPR, 2019: 1585–1594.
- Xie Qi, Zhao Qian, Xu Zongben and Meng Deyu*. Color and Direction-Invariant Nonlocal self-similarity prior and its application to color image denoising[J]. Science China-information Sciences.
- Gu Shuhang, Xie Qi, Meng Deyu, Zuo Wangmeng, Feng Xiangchu and Zhang Lei*. Weighted nuclearnorm minimization and its applications to low level vision[J]. International Journal of Computer Vision (IJCV). 2017, 121(2):183–208.(ESI高被引)
- Zhou Man, Yan Keyu, Pan Jinshan, Xie Qi, et al. Memory-augmented deep unfolding network for guided image super-resolution[J]. International Journal of Computer Vision (IJCV), 2023, 131(1): 215-242.
- Wang Hong#, Xie Qi#, Zhao Qian and Meng Deyu*. A Model-Driven Deep Neural Network for Single Image Rain Removal [C]. CVPR, 2020
- Peng Jiangjun#, Xie Qi#, Zhao Qian, Wang Yao, Leung Yee, and Meng Deyu*. Enhanced 3DTV regularization and its applications on HSI denoising and compressed sensing[J]. IEEE Transactions on Image Processing (TIP).
- Wang Hong, Wu Yichen, Xie Qi*, et al. Structural residual learning for single image rain removal[J]. Knowledge-Based Systems, 2021, 213: 106595.
- Fu Jiahong, Wang Hong, Xie Qi*, Zhao Qiang, Meng Deyu, Xu Zongben. KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution[J]. ECCV, 2022
- Wang Hong, Xie Qi*, Zhao Qian, Li Yuexiang, Liang Yong, Zheng Yefeng, Meng Deyu*；RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining；IEEE Transactions on Neural Networks and Learning Systems 2022
- Wang Hong, Xie Qi*, Li Yuexiang, et al. Orientation-Shared Convolution Representation for CT Metal Artifact Learning[C]. MICCAI, 2022: 665-675.
- Wang Hong, Xie Qi*, Zhao Qian, Li Yuexiang, Liang Yong, Zheng Yefeng, Meng Deyu. RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
- Wang Hong, Xie Qi, Zeng Dong, et al. OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning[J]. IEEE Transactions on Medical Imaging, 2023.
- Liu Xinyi, Xie Qi, Zhao Qian, Wang Hong, Meng Deyu. Low-light image enhancement by retinex-based algorithm unrolling and adjustment[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023.
- Wang Hong, Xie Qi，Wu Yichen, Zhao Qian and Meng Deyu. Single image rain streaks removal: a review and an exploration[J]. International Journal of Machine Learning and Cybernetics. 2020, 1–20.
- Zeng Dong, Xie Qi, Cao Wenfei, Lin Jiahui, Zhang Hao, Zhang Shanli, Huang Jing, Bian Zhaoying, Meng Deyu, Xu Zongben, et al. Low-dose dynamic cerebral perfusion computed tomography reconstructionvia kronecker-basis-representation tensor sparsity regularization[J]. IEEE Transactions on Medical Imaging (TMI). 2017, 36(12):2546–2556.
- Shu Jun, Xie Qi, Yi Lixuan, Zhao Qian, Zhou Sanping, Xu Zongben and Meng Deyu*. Meta-weight-net: Learning an explicit mapping for sample weighting[C]. NeurIPS, 2019: 1917–1928.
- Li Minghan, Xie Qi, Zhao Qian, Wei Wei, Gu Shuhang, Tao Jing and Meng Deyu*. Video rain streak removal by multiscale convolutional sparse coding[C]. CVPR, 2018: 6644–6653.
- Zeng Dong, Xie Qi, Bian Zhaoying, et al. Noise suppression for cerebral perfusion CT via intrinsic tensor sparsity regularization: Initial study[C], IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop(NSS/MIC/RTSD). 2016: 1-4.
- Hu Zhengyang, Liu Guanzhang, Xie Qi, Xue Jiang, Deyu Meng, Deniz Gunduz. A learnable optimization and regularization approach to massive MIMO CSI feedback[J]. IEEE Transactions on Wireless Communications, 2023.
- Gu Shuhang, Zuo Wangmeng, Xie Qi, Meng Deyu, Feng Xiangchu and Zhang Lei. Convolutional sparse coding for image super-resolution[C]. ICCV, 2015: 1823–1831.
- Ma Fan, Meng Deyu, Xie Qi, Li Zina and Dong Xuanyi. Self-paced co-training[C]// JMLR. org. Proceedings of the 34th International Conference on Machine Learning-Volume 70: JMLR. org, 2017: 2275–2284.
- Wei Wei, Yi Lixuan, Xie Qi, Zhao Qian, Meng Deyu* and Xu Zongben Should we encode rain streaks in video as deterministic or stochastic?[C]. ICCV, 2017: 2516–2525.
- Zhao Qian, Meng Deyu*, Kong Xu, Xie Qi, Cao Wenfei, Wang Yao and Xu Zongben. A novel sparsity measure for tensor recovery[C]. ICCV, 2015: 271–279.
- Zhao Qian, Meng Deyu*, Jiang Lu, Xie Qi, Xu Zongben, Hauptmann, Alexander G. Self-paced learning for matrix factorization[C]. Twenty-ninth AAAI conference on artificial intelligence, 2015.
- Zeng Dong, Lisha Yao, Ge Yongshuai, Li Sui, Xie Qi, Zhang Hao, et al. Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction[J]. IEEE Transactions on Medical Imaging (TMI), 2020.
- Sui Li, Zeng Dong, Peng Jiangjun, Bian Zhaoying, Zhang Hao, Xie Qi, Wang Yongbo, et al. An efficient iterative cerebral perfusion CT reconstruction via low-rank tensor decomposition with spatial–temporal total variation regularization[J]. IEEE Transactions on Medical Imaging (TMI), 2018, 38(2): 360-370.
- Meng Mingqiang, Li Sui, Yao Lisha, Li Danyang, Zhu Manman, Gao Qi, Xie Qi, Zhao Qian, Bian Zhaoying, Huang Jing, Meng Deyu, et al. Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction[C], Medical Imaging 2020: Physics of Medical Imaging. International Society for Optics and Photonics, 2020, 11312: 113120B.
