Yangyang Shu

According to our database, Yangyang Shu authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment.

Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu

IEEE Trans. Multim., 2024

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition.

ShuaiHeng Li, Qing Cai, Fan Zhang, Menghuan Zhang, Yangyang Shu, Zhi Liu, Huafeng Li, Lingqiao Liu

CoRR, 2024

CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation.

Jinchao Ge, Bowen Zhang, Akide Liu, Minh Hieu Phan, Qi Chen, Yangyang Shu, Yang Zhao

CoRR, 2024

MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss.

Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu

CoRR, 2024

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale.

Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu

CoRR, 2024

Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors.

Ziqin Zhou, Hai-Ming Xu, Yangyang Shu, Lingqiao Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems.

Yangyang Shu, Anton van den Hengel, Lingqiao Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

V-SVR+: Support Vector Regression With Variational Privileged Information.

Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu

IEEE Trans. Multim., 2022

Privileged multi-task learning for attribute-aware aesthetic assessment.

Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu

Pattern Recognit., 2022

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism.

Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Privileged Machine Learning for Prediction

Yangyang Shu

PhD thesis, 2021

Video Affective Content Analysis by Exploring Domain Knowledge.

Shangfei Wang, Can Wang, Tanfang Chen, Yaxin Wang, Yangyang Shu, Qiang Ji

IEEE Trans. Affect. Comput., 2021

2020

Learning with privileged information for photo aesthetic assessment.

Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu

Neurocomputing, 2020

Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning.

Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

Emotion Recognition from Music Enhanced by Domain Knowledge.

Yangyang Shu, Guandong Xu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market.

Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu

Proceedings of the 6th International Conference on Behavioral, 2019

2017

Emotion recognition through integrating EEG and peripheral signals.

Yangyang Shu, Shangfei Wang

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017