Yangyang Shu
D.Phil
Australian Institute for Machine Learning
University of Adelaide
Adelaide, Australia
Email: yangyang.shu at adelaide dot edu dot au
Github: https://github.com/GANPerf
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Biography
I'm now working as a Research Fellow at the Australian Institute for Machine Learning (AIML), the University of Adelaide.
My advisor is Dr. Lingqiao Liu. I completed my Ph.D. in Data Science and Machine Intelligence Lab and the
Faculty of Engineering and Information Technology, University of Technology Sydney in 2021. My advisor is Prof. Guandong Xu.
I received M.S. degree in computer science from University of Science and Technology of China in 2018.
My advisor is Prof. Shangfei Wang.
I receive B.S. degree in computer science from Anhui University in 2015.
My research interests lie in machine learning, computer vision, multimedia, privileged information and related applications in
artificial intelligence, including multi-task learning, fine-grained recognition, music emotion and photo aesthetics.
Recently, my major research topics are about: Rationale-guided Machine Learning.
The most machine learning system is based on the principle of Empirical Risk Minimization.
Any features and classifiers that contribute to risk minimization will be acquired from the learning process.
In this research theme, we consider prediction rationale – clues about why a certain decision is made in the learning process.
We are investigating how to represent rationale and how to put forward various regularizations on the rationale clues.
This is expected to lead to more generalizable or more data-efficient machine learning systems.
Publications
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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*
arXiv:2402.01157, 2024. [code]
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Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems,
Yangyang Shu, Anton van den Hengel, Lingqiao Liu*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [code]
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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 European Conference on Computer Vision (ECCV), 2022. [code]
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Privileged Multi-Task Learning for Attribute-Aware Aesthetic Assessment,
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu*
Pattern Recognition, 2022.
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Semi-supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment,
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu*
IEEE Transactions on Multimedia (TMM), 2021.
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V-SVR+: Support Vector Regression with Variational Privileged Information,
Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu*
IEEE Transactions on Multimedia (TMM), 2021.
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Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning,
Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu*
Empirical Software Engineering and Measurement (ESEM), 2020. (21% accepted rate)
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Learning with Privileged Information for Photo Aesthetic Assessment,
Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu*
Neurocomputing, 2020.
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Emotion Recognition from Music Enhanced by Domain Knowledge,
Yangyang Shu, Guandong Xu*
The 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2019.
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Video Affective Content Analysis by Exploring Domain Knowledge,
Shangfei Wang*, Can Wang, Tanfang Chen, Yaxin Wang, Yangyang Shu, Qiang Ji
IEEE Transactions on Affective Computing (TAC), 2019.
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Emotion recognition through integrating EEG and peripheral signals,
Yangyang Shu, Shangfei Wang*
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.
Employment
- Australia Grant-Funded Researcher: Waterbird Image Analysis in South Australia, 7/2021-7/2022.
- A Project in Australian of Energy Market Electricity Price Forecast Using Meteorology Data, 9/2018-2/2019.
- Learning in the Institute of Computer Technology, Chinese Academy of Sciences, 4/2017-5/2017.
Honors & Awards
National Scholarship of University of Science and Technology of China , 2017 (14/150) |
The sixth national college student mathematics competition, the Second Prize, 2014. |
Outstanding Graduate of University of Science and Technology of China, 2018 |
Outstanding Graduate of Anhui Province, 2015 |
Miscellany
Hobbies: Erhu, Piano, Music.
Last Updated by Yangyang Shu: Aug. 1 2022