Scholar
Xinyu Zhang
Google Scholar ID: PSzJxD8AAAAJ
The University of Auckland; The University of Adelaide
Citations & Impact
Citations
1,263
H-index
15
i10-index
18
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Papers published: [Personalized Federated Learning] accepted by NeurIPS 2025, [Let Your Video Listen to Your Music] accepted by ACMMM 2025 BNI Track, [S2V2V] accepted by BMVC 2025, [Is Generated Image Really Realistic?] accepted by CVPR 2025, [Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss] arXiv preprint; Academic services: Area Chair in CVPR 2026, Area Chair in WACV 2026, Guest Editor in Entropy with the Special Issue [Rethinking Representation Learning in the Age of Large Models], submission deadline is 31 October 2025; Awards: Winner of Women Leading Tech Awards 2025 in Education/Research Category.
Research Experience
- Lecturer (Assistant Professor) at the University of Auckland; Research Fellow at The Australian Institute for Machine Learning (AIML) and Centre for Augmented Reasoning (CAR), University of Adelaide, working closely with A/Prof. Lingqiao Liu and Prof. Anton van den Hengel; Senior Research Scientist at Baidu Inc., working closely with Chief Scientist Dr. Jingdong Wang.
Education
- Ph.D. from Tongji University, with joint Ph.D. supervision by Prof. Chunhua Shen, Prof. Javen Qinfeng Shi, Prof. Anton van den Hengel, and Prof. Mingyu You.
Background
- Research interests: Designing machine learning algorithms to understand and depict large-scale unstructured data, and generate synthetic data to simulate the real world. Specialized in Machine Learning and Computer Vision, especially in Generative AI models, Foundation model pre-training, Self-supervised / Unsupervised / Semi-supervised learning, Object/Attribute detection/recognition, Image/Text-to-image retrieval.
Miscellany
- Actively seeking motivated individuals interested in pursuing a PhD, Master, visiting, and honorary students under her supervision. If you are interested in her research, please feel free to reach out with your CV (English Version), transcripts, research interests, and brief research plan.
