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.

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
Selected Publications

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

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

Towards Open-Set Object Detection and Discovery
J.Zheng, W.Li, J.Hong, L.Petersson, and N.Barnes
L3D-IVU, CVPR 2022
Service
Conference Reviewer: ICLR, ICML, CVPR, IJCAI, ACM MM, ACCV
Journal Reviewer: TPAMI, TIP, TMLR