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Mr Lei Fan

Mr Lei Fan

PhD Student
Medicine & Health
Centre for Healthy Brain Ageing
    • Fan L; Ding Y; Fan D; Wu Y; Pagnucco M; Song Y, 2023, 'Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection', in , pp. 660 - 667, http://dx.doi.org/10.3233/FAIA230329
    • Liang Y; Hu Z; Huang J; Di D; Su A; Fan L, 2025, 'ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection', IEEE Transactions on Instrumentation and Measurement, http://dx.doi.org/10.1109/TIM.2025.3545987
    • Fan L; Fan D; Ding Y; Wu Y; Di D; Pagnucco M; Song Y, 2025, 'GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2025.3528555
    • Fan L; Fan D; Ding Y; Wu Y; Chu H; Pagnucco M; Song Y, 2023, 'AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains', IEEE Robotics and Automation Letters, 9, pp. 851 - 858, http://dx.doi.org/10.1109/LRA.2023.3338517
    • Fan L; Ding Y; Fan D; Wu Y; Chu H; Pagnucco M; Song Y, 2023, 'An annotated grain kernel image database for visual quality inspection', Scientific Data, 10, http://dx.doi.org/10.1038/s41597-023-02660-8
    • Fan L; Sowmya A; Meijering E; Song Y, 2023, 'Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency', IEEE Transactions on Medical Imaging, 42, pp. 1401 - 1412, http://dx.doi.org/10.1109/TMI.2022.3228275
    • Hu J; Kong H; Fan L; Zhou J, 2021, 'Enhancing feature fusion with spatial aggregation and channel fusion for semantic segmentation', IET COMPUTER VISION, 15, pp. 418 - 427, http://dx.doi.org/10.1049/cvi2.12026
    • Kong H; Yan J; Wang H; Fan L, 2020, 'Energy management strategy for electric vehicles based on deep Q-learning using Bayesian optimization', NEURAL COMPUTING & APPLICATIONS, 32, pp. 14431 - 14445, http://dx.doi.org/10.1007/s00521-019-04556-4
    • Han HH; Fan L, 2019, 'A New Semantic Segmentation Model for Supplementing More Spatial Information', IEEE Access, 7, pp. 86979 - 86988, http://dx.doi.org/10.1109/ACCESS.2019.2915088
    • Kong H; Fang Y; Fan L; Wang H; Zhang X; Hu J, 2019, 'A Novel Torque Distribution Strategy Based on Deep Recurrent Neural Network for Parallel Hybrid Electric Vehicle', IEEE Access, 7, pp. 65174 - 65185, http://dx.doi.org/10.1109/ACCESS.2019.2917545
    • Kong H; Hu J; Fan L; Zhang X; Fang Y, 2019, 'Encoder-decoder with double spatial pyramid for semantic segmentation', JOURNAL OF ELECTRONIC IMAGING, 28, http://dx.doi.org/10.1117/1.JEI.28.6.063007
    • Fan L; Kong H; Wang WC; Yan J, 2018, 'Semantic segmentation with global encoding and dilated decoder in street scenes', IEEE Access, 6, pp. 50333 - 50343, http://dx.doi.org/10.1109/ACCESS.2018.2868801
    • Fan L; Wang WC; Zha F; Yan J, 2018, 'Exploring new backbone and attention module for semantic segmentation in street scenes', IEEE Access, 6, pp. 71566 - 71580, http://dx.doi.org/10.1109/ACCESS.2018.2880877
    • Fan L; Ding Y; Fan D; Di D; Pagnucco M; Song Y, 2022, 'GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 21084 - 21093, http://dx.doi.org/10.1109/CVPR52688.2022.02044
    • Fan L; Sowmya A; Meijering E; Song Y, 2022, 'Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 409 - 419, http://dx.doi.org/10.1007/978-3-031-16434-7_40
    • Fan L; Sowmya A; Meijering E; Song Y, 2021, 'Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 592 - 601, http://dx.doi.org/10.1007/978-3-030-87237-3_57
    • Kong H; Fan L; Zhang X, 2018, 'Semantic Segmentation with Inverted Residuals and Atrous Convolution', in SAE Technical Paper Series, SAE International, presented at Intelligent and Connected Vehicles Symposium, http://dx.doi.org/10.4271/2018-01-1635