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ORCIDZheyuan Liu 0002
Person information
- affiliation: University of Adelaide, Australian Institute for Machine Learning, Australia
- affiliation (PhD 2024): Australian National University, ACT, Australia
Other persons with the same name
- Zheyuan Liu 0001 — The Third Research Institute of the Ministry of Public Security, Shanghai, China
- Zheyuan Liu 0003 — University of Virginia, VA, USA
- Zheyuan Liu 0004 — University of Alberta, Edmonton, AB, Canada
- Zheyuan Liu 0005 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Zheyuan Liu 0006 — University of Pennsylvania, PA, USA
- Zheyuan Liu 0007 — University of Delaware, Newark, DE, USA
- Zheyuan Liu 0008 — Central South University, School of Computer Science and Engineering, Changsha, China
- Zheyuan Liu 0009
![[0009-0002-8139-068X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0002-8139-068X")
— Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China - Zheyuan Liu 0010 — University of Notre Dame, IN, USA (and 1 more)
- Zheyuan Liu 0011 — Shanghai Jiao Tong University, China
- Zheyuan Liu 0012 — Peking University, School of Electrical and Computer Engineering, Beijing, China (and 1 more)
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2020 – today
- 2025
[i11]Zheyuan Liu, Junyan Wang, Zicheng Duan, Cristian Rodriguez Opazo, Anton van den Hengel:
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction. CoRR abs/2503.12953 (2025)- [i10]Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane:
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR abs/2506.02961 (2025) - 2024
- [j1]Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould:
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res. 2024 (2024) - [c5]Changsheng Lu, Zheyuan Liu, Piotr Koniusz:
OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection. ECCV (19) 2024: 148-165 - [c4]Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould:
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. WACV 2024: 5741-5750 - [i9]Changsheng Lu, Zheyuan Liu, Piotr Koniusz:
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection. CoRR abs/2409.19899 (2024) - 2023
- [c3]Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes:
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CVPR 2023: 6420-6429 - [c2]Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes:
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. ICCV (Workshops) 2023: 826-837 - [i8]Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes:
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CoRR abs/2303.11302 (2023) - [i7]Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould:
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. CoRR abs/2303.16604 (2023) - [i6]Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes:
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems. CoRR abs/2305.01586 (2023) - [i5]Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould:
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. CoRR abs/2305.16304 (2023) - [i4]Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes:
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2308.04321 (2023) - 2021
- [c1]Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. ICCV 2021: 2105-2114 - [i3]Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. CoRR abs/2108.04024 (2021) - [i2]Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes:
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. CoRR abs/2112.02841 (2021)
2010 – 2019
- 2019
- [i1]Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu:
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. CoRR abs/1905.12254 (2019)
Coauthor Index
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