| Emotion recognition through integrating EEG and peripheral signals Y Shu, S Wang 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 44 | 2017 |
| Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism Y Shu, B Yu, H Xu, L Liu Proceedings of the European Conference on Computer Vision (ECCV), 2022 | 31 | 2022 |
| Learning with privileged information for photo aesthetic assessment Y Shu, Q Li, S Liu, G Xu Neurocomputing 404, 304-316, 2020 | 29 | 2020 |
| Perf-al: Performance prediction for configurable software through adversarial learning Y Shu, Y Sui, H Zhang, G Xu Proceedings of the 14th ACM/IEEE international symposium on empirical …, 2020 | 17 | 2020 |
| Learning common rationale to improve self-supervised representation for fine-grained visual recognition problems Y Shu, A Van den Hengel, L Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Semi-supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment Y Shu, Q Li, L Liu, G Xu IEEE Transactions on Multimedia, 2021 | 13 | 2021 |
| V-SVR+: Support Vector Regression with Variational Privileged Information Y Shu, Q Li, C Xu, S Liu, G Xu IEEE Transactions on Multimedia, 2021 | 10 | 2021 |
| Video affective content analysis by exploring domain knowledge S Wang, C Wang, T Chen, Y Wang, Y Shu, Q Ji IEEE Transactions on Affective Computing 12 (4), 1002-1017, 2019 | 10 | 2019 |
| Privileged Multi-Task Learning for Attribute-Aware Aesthetic Assessment Y Shu, Q Li, L Liu, G Xu Pattern Recognition, 2022 | 8 | 2022 |
| Emotion recognition from music enhanced by domain knowledge Y Shu, G Xu PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 7 | 2019 |
| Electricity Price Forecast using Meteorology data: A study in Australian Energy Market M Zhao, Y Shu, S Liu, G Xu 2019 6th International Conference on Behavioral, Economic and Socio-Cultural …, 2019 | 4 | 2019 |
| MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss Y Shu, H Xu, Z Zhou, A Hengel, L Liu arXiv preprint arXiv:2407.04331, 2024 | 3 | 2024 |
| Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors Z Zhou, HM Xu, Y Shu, L Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| PP-SSL: Priority-Perception Self-Supervised Learning for Fine-Grained Recognition SH Li, Q Cai, F Zhang, M Zhang, Y Shu, Z Liu, H Li, L Liu arXiv preprint arXiv:2412.00134, 2024 | 1 | 2024 |
| CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation J Ge, B Zhang, A Liu, MH Phan, Q Chen, Y Shu, Y Zhao arXiv preprint arXiv:2411.02715, 2024 | | 2024 |
| Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale Y Shu, X Cao, Q Chen, B Zhang, Z Zhou, A Hengel, L Liu arXiv preprint arXiv:2402.01157, 2024 | | 2024 |
| Privileged Machine Learning for Prediction Y Shu PQDT-Global, 2021 | | 2021 |
| Check for Emotion Recognition from Music Enhanced by Domain Knowledge Yangyang Shu and Guandong Xu~ Advanced Analytic Institute, University of Technology Sydney, Sydney, Australia ER from Music, Y Shu, G Xu PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | | 2019 |
| Towards Effective Updating of Pretrained Symbolic Music Models for Fine-Grained Bar-Level Control Y Shu, H Xu, Z Zhou, A van den Hengel, L Liu | | |
Guandong Xu, PhDChair Professor EdUHK, Professor UTSVerificeret mail på uts.edu.au
