[1]  Di Gai, Runyang Feng, Weidong Min, et al.Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(9):4564-4576. (SCI，CCF-B, 中科院1区，Top期刊，IF：8.4)

 [2]  Di Gai, Xuanjing Shen, Haipeng Chen and Pengxiang Su. Multi-focus image fusion method based on two stage of convolutional neural network[J].Signal Processing, 2020,176: 107681. (SCI，CCF-C，中科院1区，Top期刊，IF：5.859)

 [3]  Di Gai, Xuanjing Shen, Haipeng Chen, Zeyu Xie and Pengxiang Su. Medical image fusion using the PCNN based on IQPSO in NSST domain[J]. IET Image Processing, 2020, 14(9): 1870-1880. (SCI，CCF-C，中科院3区，IF：1.995)

 [4]  Gai D, Huang Z, Min W, et al. SDMI-Net: Spatially Dependent Mutual Information Network for semi-supervised medical image segmentation[J]. Computers in Biology and Medicine, 2024, 174: 108374 (SCI，中科院2区，Top，IF：7.0)

 [5] Wu H, Min W, Gai D*, et al. HD-Former: A hierarchical dependency Transformer for medical image segmentation[J].Computers in Biology and Medicine, 2024: 108671. (SCI，中科院2区，Top，IF：7.0)

 [6] Di Gai, Jiqian Zhang, Yusong Xiao, et al. GL-Segnet: Global-Local representation learning net for medical image segmentation[J]. Frontiers in Neuroscience, 2023, 17: 1153356. (SCI，中科院2区，Top期刊，IF:5.152) [7] Di Gai, Ruonan Xiong, Weidong Min, et al. Semi-supervised medical image classification based on class prototype matching for soft pseudo labels with consistent regularization[J].Multimedia Tools and Applications, 2024, 83: 79695–79713. (SCI，CCF-C，中科院4区，IF: 3.6)

 [8] Di Gai, Yuxuan Wu, Yusong Xiao, Yuhan Geng, et al. Semi-supervised Contextual Cognitive Augmentation-based Cross-teaching Network for Multiclass Medical Image Segmentation[J]. IET Image Processing, 2024, 18(13): 3989-4004. (SCI，CCF-C，中科院4区，IF: 2.0)

 [9] Di Gai, Xuanjing Shen and Haipeng Chen. Effective Classification of Melting Curve in Real-Time PCR based on Dynamic Filter-based Convolutional Neural Network[J]. Current Bioinformatics, 2021, 16(2): 820-828. (SCI，中科院4区，IF：4.85)

 [10] Di Gai, Jiqian Zhang, Yusong Xiao, et al. RMTF-Net: Residual Mix Transformer Fusion Net for 2D Brain Tumor Segmentation[J]. Brain Sciences, 2022, 12(9): 1145. (中科院3区，IF：3.333)

 [11] Di Gai, Heng Luo, Jing He, Pengxiang Su, ZhengHuang, Song Zhang, Zhijun Tu. MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation[J]. KSII Transactions on Internet and Information Systems, 2023, 17(9): 2458-2482. (SCI，中科院4区，IF：1.5)

 [12] Di Gai, Xuanjing Shen, Hang Cheng and Haipeng Chen. Medical image fusion via PCNN based on edge preservation and improved sparse representation in NSST domain[J]. IEEE Access, 2019, 7: 85413-85429. (SCI，中科院2区，IF：3.745)

 [13]  Gai D, Geng Y，et al. Feature ensemble network for medical image segmentation with multi‐scale atrous transformer[J]. IET Image Processing, 2024. (SCI，CCF-C，中科院4区，IF: 2.0)

 [14]  Zheng Huang, Di. Gai, Weidong Min, Qi Wang and Lixin Zhan. Dual-stream-based dense local features contrastive learning for semi-supervised medical image segmentation[J].Biomedical Signal Processing and Control, 2024, 88, 105636. (SCI，中科院2区，IF：5.1，学生第一作者)

 [15]  Qi Wang, Yuling Zhong,Weidong Min, Haoyu Zhao,Di Gai, Qing Han. Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild[J].Pattern Recognition, 2023, 139:109513. (SCI，CCF-B，中科院1区，Top期刊，IF：8.518)

 [16]  Dong Wang, Qi Wang*, Zhiwei Tu, Weidong Min, Xin Xiong, Yuling Zhong, Di Gai, Vision-language constraint graph representation learning for unsupervised vehicle re-identification[J]. Expert Systems with Applications, 2024: 124495. (SCI，CCF-C，中科院1区，Top期刊，IF：7.5)

 [17]  Dong Wang, Qi Wang, Weidong Min*, Di Gai, Qing Han, Longfei Li, Yuhan Geng, SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification[J]. Computational Visual Media, 2024, 10(4): 771-789. (SCI，CCF-C，中科院3区，IF：17.3)

 [18]  Haipeng Chen, Zeyu Xie, Yongping Huang, Di Gai. Intuitionistic fuzzy C-means algorithm based on membership information transferring and similarity measurement[J]. Sensors, 2021, 21(3): 696. (SCI，中科院3区，IF：3.576)

 [19]  Xuanjing Shen, Yunqi Zhang, Haipeng Chen, Di Gai. Multi-focus noisy image fusion based on gradient regularized convolutional sparse representatione[C]//Proceedings of the 2nd ACM International Conference on Multimedia in Asia. 2021: 1-7. (EI会议)

 [20]  Xue Wang, Zhanshan Li, Hui Kang, Yongping Huang, Di Gai. Medical image segmentation using PCNN based on multi-feature grey wolf optimizer bionic algorithm[J]. Journal of Bionic Engineering, 2021, 18(3): 711-720. (SCI，中科院2区，IF：2.682) 

[21] Guang Huo, Dawei Lin, Di Gai, et al. Lightweight iris segmentation network for low-power devices[J]. Journal of Electronic Imaging, 2022, 31(3): 033004. (SCI，中科院4区，IF：0.829)

 [22] Pengxiang Su, Xuanjing Shen, Haipeng Chen, Di Gai, Yu Liu. M-AResNet: a novel multi-scale attention residual network for melting curve image classification[J]. Multimedia Tools and Applications, 2023: 1-16. (SCI，中科院4区, CCF-C，IF：3.60)

 [23] Sheng Wang, Qi Wang, Weidong Min, Qing Han, Di Gai, Haowen Luo. Trade-off background joint learning for unsupervised vehicle re-identification [J]. The Visual Computer, 2023, 39: 3823–3835. (SCI三区，IF 3.5，CCF-C类期刊)

 [24]  霍光,林大为,刘元宁,朱晓冬,袁梦,盖迪.基于多尺度特征和注意力机制的轻量级虹膜分割模型[J/OL].吉林大学学报(工学版):1-12. (EI)