Emotion recognition through integrating EEG and peripheral signals. - Yangyang Shu; Shangfei Wang (ICASSP, 2017)

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. - Ming Zhao; Yangyang Shu; Shaowu Liu; Guandong Xu (BESC, 2019)

Emotion Recognition from Music Enhanced by Domain Knowledge. - Yangyang Shu; Guandong Xu (PRICAI (1), 2019)

Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. - Yangyang Shu; Yulei Sui; Hongyu Zhang 002; Guandong Xu (ESEM, 2020)

Learning with privileged information for photo aesthetic assessment. - Yangyang Shu; Qian Li 003; Shaowu Liu; Guandong Xu (Neurocomputing, 2020)

Video Affective Content Analysis by Exploring Domain Knowledge. - Shangfei Wang; Can Wang 007; Tanfang Chen; Yaxin Wang; Yangyang Shu; Qiang Ji (IEEE Trans. Affect. Comput., 2021)

Privileged Machine Learning for Prediction - Yangyang Shu (2021)

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. - Yangyang Shu; Baosheng Yu; Haiming Xu; Lingqiao Liu (ECCV (25), 2022)

Privileged multi-task learning for attribute-aware aesthetic assessment. - Yangyang Shu; Qian Li 003; Lingqiao Liu; Guandong Xu (Pattern Recognit., 2022)

V-SVR+: Support Vector Regression With Variational Privileged Information. - Yangyang Shu; Qian Li 003; Chang Xu 002; Shaowu Liu; Guandong Xu (IEEE Trans. Multim., 2022)

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. - Yangyang Shu; Anton van den Hengel; Lingqiao Liu (CVPR, 2023)

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 (CVPR, 2024)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. - Yangyang Shu; Xiaofeng Cao; Qi Chen 014; Bowen Zhang 009; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (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)

CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation. - Jinchao Ge; Bowen Zhang 009; Akide Liu; Minh Hieu Phan; Qi Chen 014; Yangyang Shu; Yang Zhao 019 (CoRR, 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)

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. - Yangyang Shu; Qian Li 003; Lingqiao Liu; Guandong Xu (IEEE Trans. Multim., 2024)

CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation. - Jinchao Ge; Bowen Zhang 009; Akide Liu; Vu Minh Hieu Phan; Qi Chen 014; Yangyang Shu; Yang Zhao 019 (Pattern Recognit., 2025)

Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. - Yangyang Shu; Yuhang Liu 002; Xiaofeng Cao; Qi Chen 014; Bowen Zhang 009; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (Trans. Mach. Learn. Res., 2025)

MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. - Wei Hua; Chenlin Zhou; Jibin Wu; Yansong Chua; Yangyang Shu (CoRR, 2025)