By Mr Yangyang Shu

Book Chapters

Shen Y; Shu Y; Paik HY; Sui Y, 2026, 'MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts', in , pp. 152 - 171, http://dx.doi.org/10.1007/978-981-95-4213-0_9

Journal articles

Hua W; Chua Y; Wang M; Zhang Q; Wang K; Shu Y, 2026, 'SPASRNN: boosting spiking recurrent neural networks using sparse gradient decent for semantic representation learning', Neural Computing and Applications, 38, http://dx.doi.org/10.1007/s00521-025-11760-y

Li S; Cai Q; Zhang F; Shu Y; Li G; Dong J; Liu L; Zhang D, 2026, 'LearnMat: Semantic-Aware Self-Supervision Fine-Grained Visual Recognition', IEEE Transactions on Image Processing, 35, pp. 2555 - 2569, http://dx.doi.org/10.1109/TIP.2026.3671661

Ge J; Zhang B; Liu A; Phan VMH; Chen Q; Shu Y; Zhao Y, 2025, 'CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation', Pattern Recognition, 167, http://dx.doi.org/10.1016/j.patcog.2025.111707

Shu Y; Liu Y; Cao X; Chen Q; Zhang B; Zhou Z; van den Hengel A; Liu L, 2025, 'Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale', Transactions on Machine Learning Research, 2025-June

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

Hua W; Zhou C; Wu J; Chua Y; Shu Y, 2025, 'MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion', in Ijcai International Joint Conference on Artificial Intelligence, pp. 5399 - 5407, http://dx.doi.org/10.24963/ijcai.2025/601

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', Institute of Electrical and Electronics Engineers (IEEE), pp. 3817 - 3827, presented at 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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 COMPUTER SOC, CANADA, Vancouver, pp. 11392 - 11401, presented at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CANADA, Vancouver, 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

Zhao M; Shu Y; Liu S; Xu G, 2019, 'Electricity Price Forecast using Meteorology data: A study in Australian Energy Market', in Besc 2019 6th International Conference on Behavioral Economic and Socio Cultural Computing Proceedings, http://dx.doi.org/10.1109/BESC48373.2019.8963329

Shu Y; Xu G, 2019, 'Emotion recognition from music enhanced by domain knowledge', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 121 - 134, http://dx.doi.org/10.1007/978-3-030-29908-8_10

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, LA, New Orleans, pp. 2871 - 2875, presented at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), LA, New Orleans, 05 March 2017 - 09 March 2017

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