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ORCIDYangyang Shu
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2020 – today
- 2024
[j5]Yangyang Shu
, Qian Li, Lingqiao Liu, Guandong Xu:
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. 26: 4086-4096 (2024)- [c7]Ziqin Zhou, Hai-Ming Xu, Yangyang Shu, Lingqiao Liu:
Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. CVPR 2024: 3817-3827 - [i4]Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. CoRR abs/2402.01157 (2024) - [i3]Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. CoRR abs/2407.04331 (2024) - 2023
- [c6]Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CVPR 2023: 11392-11401 - [i2]Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CoRR abs/2303.01669 (2023) - 2022
- [j4]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132: 108921 (2022) - [j3]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [c5]Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu:
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. ECCV (25) 2022: 449-465 - [i1]Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu:
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. CoRR abs/2208.00617 (2022) - 2021
- [b1]Yangyang Shu:
Privileged Machine Learning for Prediction. University of Technology Sydney, Australia, 2021 - [j2]Shangfei Wang, Can Wang, Tanfang Chen, Yaxin Wang, Yangyang Shu, Qiang Ji:
Video Affective Content Analysis by Exploring Domain Knowledge. IEEE Trans. Affect. Comput. 12(4): 1002-1017 (2021) - 2020
- [j1]Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu:
Learning with privileged information for photo aesthetic assessment. Neurocomputing 404: 304-316 (2020) - [c4]Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu:
Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. ESEM 2020: 16:1-16:11
2010 – 2019
- 2019
- [c3]Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu:
Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. BESC 2019: 1-2 - [c2]Yangyang Shu, Guandong Xu:
Emotion Recognition from Music Enhanced by Domain Knowledge. PRICAI (1) 2019: 121-134 - 2017
- [c1]Yangyang Shu, Shangfei Wang:
Emotion recognition through integrating EEG and peripheral signals. ICASSP 2017: 2871-2875
Coauthor Index
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