Jiyang Zheng
I am a third-year PhD student in Sydney AI Center - The University of Sydney, advised by Assoc. Prof. Tongliang Liu and Dr Dadong Wang (CSIRO). Previously, I received my Bachelor degree w/ honours in Computer Science from Australian National University under the supervision of Prof. Nick Barnes.
Email  / 
Google Scholar
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Research
I have a broad interest in machine learning and computer vision, with a particular focus on generative AI. My goal is to contribute to building more robust and explainable deep generative AI models.
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News
- 2025-01: A paper on chain-based visual prompting for large autoregressive vision models has been accepted to ICLR 2025.
- 2024-12: Our paper, Ranked from Within is out. A new unsupervised evaluation paradigm for large multimodal models.
- 2024-01: A paper on generative data augmentation based on feature disentanglement has been accepted to ICLR 2024.
- 2023-05: A paper on generalise open-set semantic segmentation network is accepted to TVCJ.
- 2022-11: Our paper, ActiveRMAP is out. A high-quality active 3D reconstruction method through online mapping.
- 2022-04: A paper on object-level novel class discovery is accepted to L3D-IVD Workshop at CVPR 2022
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Selected Publications
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Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
J.Zheng, J.Shen, Y.Yao, M.Wang, Y.Yang, D.Wang, and T.Liu
ICLR 2025
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Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
J.Zheng, Y.Yao, B.Han, D.Wang, and T.Liu
ICLR 2024
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Towards Open-Set Object Detection and Discovery
J.Zheng, W.Li, J.Hong, L.Petersson, and N.Barnes
L3D-IVU, CVPR 2022
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