By Mr Yangyang Shu

Journal articles

Shu Y; Li Q; Liu L; Xu G, 2024, 'Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment', IEEE Transactions on Multimedia, 26, pp. 4086 - 4096, http://dx.doi.org/10.1109/TMM.2021.3117709

Shu Y; Li Q; Liu L; Xu G, 2022, 'Privileged multi-task learning for attribute-aware aesthetic assessment', Pattern Recognition, 132, http://dx.doi.org/10.1016/j.patcog.2022.108921

Shu Y; Li Q; Xu C; Liu S; Xu G, 2022, 'V-SVR+: Support Vector Regression With Variational Privileged Information', IEEE Transactions on Multimedia, 24, pp. 876 - 889, http://dx.doi.org/10.1109/TMM.2021.3060955

Wang S; Wang C; Chen T; Wang Y; Shu Y; Ji Q, 2021, 'Video Affective Content Analysis by Exploring Domain Knowledge', IEEE Transactions on Affective Computing, 12, pp. 1002 - 1017, http://dx.doi.org/10.1109/taffc.2019.2912377

Shu Y; Li Q; Liu S; Xu G, 2020, 'Learning with privileged information for photo aesthetic assessment', Neurocomputing, 404, pp. 304 - 316, http://dx.doi.org/10.1016/j.neucom.2020.04.142

Conference Papers

Zhou Z; Xu H-M; Shu Y; Liu L, 2024, 'Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors', in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 3817 - 3827, presented at 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16 June 2024 - 22 June 2024, http://dx.doi.org/10.1109/cvpr52733.2024.00366

Shu Y; Van den Hengel A; Liu L, 2023, 'Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems', in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 11392 - 11401, presented at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17 June 2023 - 24 June 2023, http://dx.doi.org/10.1109/cvpr52729.2023.01096

Shu Y; Yu B; Xu H; Liu L, 2022, 'Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 449 - 465, http://dx.doi.org/10.1007/978-3-031-19806-9_26

Shu Y; Sui Y; Zhang H; Xu G, 2020, 'Perf-AL: Performance prediction for configurable software through adversarial learning', in International Symposium on Empirical Software Engineering and Measurement, http://dx.doi.org/10.1145/3382494.3410677

Shu Y; Wang S, 2017, 'Emotion recognition through integrating EEG and peripheral signals', in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, pp. 2871 - 2875, presented at 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05 March 2017 - 09 March 2017, http://dx.doi.org/10.1109/icassp.2017.7952681

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