Xuanmin Chen, Liyan Ma, Shihui Ying, Dinggang Shen, Tieyong Zeng. FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction with Deep Feature Alignment. IEEE Journal of Biomedical and Health Informatics, 2024
Yinsai Guo, Liyan Ma, Xiangfeng Luo, Shaorong Xie. DP-DDCL: Adiscriminative prototype with dualdecoupled contrast learning method for few-shot object detection. Knowledge-Based Systems, 2024.
Yinsai Guo, Hang Yu, Liyan Ma, Xiangfeng Luo, Shaorong Xie. DIECDK: A Discriminative Information Enhancement Method with Cross-modal Domain Knowledge for Fine-grained Ship Detection. lEEE Transactions on Circuits and Systems for Video Technology, 2024.
Xinbiao Xu, Liyan Ma∗, Fan Jia, Tieyong Zeng. DQDG: Data-Free Quantization with Dual Generators for Keyword Spotting. IEEE Signal Processing Letters, 2024.
Yitian Tao, Liyan Ma∗, Jing Yu, Han Zhang. Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation. IEEE Journal of Biomedical and Health Informatics, 2024.
Zhenglin Li, Wenbo Zheng, Le Yang , Liyan Ma, Yang Zhou, and Yan Peng. MonoAux: Fully Exploiting Auxiliary Information and Uncertainty for Monocular 3D Object Detection. Cyborg and Bionic Systems, 2024.
Zhenglin Li, Tianxin Yuan, Yang Zhou, Liyan Ma*, Yan Peng. Target Detection for USVs by Radar-vision Fusion with Swag-robust Distance-aware Probabilistic Multi-modal Data Association. IEEE Sensors Journal, 2024
Yu Chen, Liyan Ma∗, Liping Jing, Jian Yu. BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection. Pattern Recognition, 2024.
Dan Zhang, Yingbing Xu, Liyan Ma, Xiaowei Li, Xiangyu Zhang, Yan Peng, Yaoran Chen. SRENet: Structure Recovery Ensemble Network for Single Image Deraining. Applied Intelligence, 2024.
Yuejia Cheng, Qinhua Tang, Xiang Li, Liyan Ma, Junyi Yuan, Xumin Hou. Meta-Lasso: New Insight on Infection Prediction after Minimally Invasive Surgery. Medical & Biological Engineering & Computing, 2024.
Yinsai Guo, Hang Yu, Shaorong Xie, Liyan Ma, Xinzhi Cao, Xiangfeng Luo. DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detection. Pattern Recognition, Volume 150, June 2024.
Le Jiang, Liyan Ma*, Tieyong Zeng, Shihui Ying. UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution. Cell Press: Patterns, 2024. https://arxiv.org/pdf/2311.09757.pdf
Xinbiao Xu, Liyan Ma*, Tieyong Zeng, Qinghua Huang. Quantized Graph Neural Networks for Image Classification. Mathematics 2023, 11(24), 4927.
Le Jiang, Xinhao Yang, Liyan Ma*, Zhenglin Li. Global Consistency Enhancement Network for Weakly-Supervised Semantic Segmentation. PRCV 2023.
Yu Chen, Zhaoyong Yan, Liyan Ma*. New Insights on the Generation of Rain Streaks: Generating-Removing United Unpaired Image Deraining Network. PRCV 2023.
Binke Cai, Liyan Ma*, Yan Sun. Dual consistent pseudo label generation for multi-source domain adaptation without source data for medical image segmentation. Frontiers in Neuroscience-Neuroprosthetics, Volume 17,2023.
Zhaoyong Yan, Liyan Ma*, Xiangfeng Luo, Yan Sun. Multi-scale and Multi-stage Deraining Network with Fourier space loss. 29th International Conference on MultiMedia Modeling（MMM）, 2023.
Jinan Yu, Liyan Ma*, Zhenglin Li, Yan Peng, Shaorong Xie. Open-World Object Detection Via Discriminative Class Prototype Learning. IEEE ICIP 2022.
Xinhao Yang, Liyan Ma*, Yang Zhou, Yan Peng, Shaorong Xie. Prior Semantic Harmonization Network For Few-Shot Semantic Segmentation. IEEE ICIP 2022.
Binke Cai, Liyan Ma*. A Transformer-based Cascade Network with Boundary Enhancement Loss for Retinal Vessel Segmentation. ICPR 2022.
Fan Jia, Liyan Ma, Yijin Yang, Tieyong Zeng. Pixel-Attention CNN with Color Correlation Loss for Color Image Denoising. IEEE Signal Processing Letters, 2021.
Li Tian, Liyan Ma*, Zhijie Wen*, Shaorong Xie, Yupeng Xu. Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading. IEEE IJCNN 2021.
Zhijie Wen, Qi Zhang, Wei Wang, Liyan Ma*. Few-Shot Classification With Intra-Class Unrelated Multi-Prototype Representation and Episode Adaptation Strategy. IEEE ICTAI-2021.
Shixiong Zhu, Xiangfeng Luo, Liyan Ma, Shaorong Xie. Realistic Style-Transfer Generative Adversarial Network With a Weight-Sharing Strategy. 32nd International Conference on Tools with Artificial Intelligence，2020
Wei Wang, Zhijie Wen*, Liyan Ma*, and Shihui Ying. Multi-Metric Joint Discrimination Network for Few-shot Classification. PRCV 2020.
Xuelong Xu, Xiangfeng Luo, Liyan Ma. Context-Aware Hierarchical Feature Attention Network for Multi-Scale Object Detection. IEEE ICIP 2020.
Xiaoye Sun, Liyan Ma* , Gongyan Li. Multi-vision Attention Networks for On-line Red Jujube Grading. Chinese Journal of Electronics, 28 (6): 1108-1117，2019.
Jie Zhu; S.F. Wu; X.Z. Wang, G.Q. Yang, Liyan Ma. Multi-image matching for object recognition. IET COMPUTER VISION. 2018. 12(3): 350-356.
Liyan Ma, Tieyong Zeng and Gongyan Li. Hybrid Variational Model for Texture Image Restoration. EAST ASIAN JOURNAL ON APPLIED MATHEMATICS. 2017. 7(3):629-642.
Liyan Ma, Li Xu, and Tieyong Zeng.Low rank prior and total variation regularization for image deblurring. Journal of Scientific Computing. 70(3) :1336-1357,2017.
Wei Liu, Liyan Ma, B. Qiu, M.Y. Cui, J.W. Ding. An efficient depth map preprocessing method based on structure-aided domain transform smoothing for 3D view generation. PLOS ONE. 2017. 12(4):e0175910.
Wei Liu, Liyan Ma, Bo Qiu, Mingyue Cui. Stereoscopic view synthesis based on region-wise rendering and sparse representation. Signal Processing: Image Communication, 47, 1-15, 2016.
Liyan Ma, Tieyong Zeng, Image Deblurring via Total Variation Based Structured Sparse Model Selection. Journal of Scientific Computing: 64(1) ,1-19,2016.
Liyan Ma, Lionel Moisan, Jian Yu, Tieyong Zeng, A Stable Method Solving the Total Variation Dictionary Model with L∞ Constraints. Inverse Problems and Imaging. 8(2) ,507-535,2014.
Liyan Ma, Jian Yu, Tieyong Zeng. Sparse Representation Prior and Total Variation--Based Image Deblurring Under Impulse Noise. SIAM Journal on Imaging Sciences, vol. 6, no. 4. pp. 2258-2284, 2013.
Liyan Ma, Lionel Moisan, Jian Yu, Tieyong Zeng. Dictionary learning approach for deblurring Poissonian Images, IEEE Trans. Medical Imaging, vol.32, no.7. pp.1277-1289, 2013.
Liyan Ma, Michael K. Ng, Jian Yu, Tieyong Zeng. Efficient box-constrained TV-type-$l^1$ Algorithms for Restoring Images with Impulse Noise. Journal of Computational Mathematics, vol.31, no.3, pp.249-270, 2013.
Liyan Ma, Jian Yu. A Convex Approach for Local Statistics Based Region Segmentation，Chinese Journal of Electronics, vol.21, no.4. pp.623-626, 2012.
Liyan Ma, Hongwei Li. An algorithm based on nonlinear PCA for blind separation of convolutive mixtures. Acta Electronica Sinica (Chinese), 36(5): 1009-1012,2008.
