Zheyuan Liu

According to our database, Zheyuan Liu authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.

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

CoRR, June, 2025

Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction.

Zheyuan Liu, Junyan Wang, Zicheng Duan, Cristian Rodriguez Opazo, Anton van den Hengel

CoRR, March, 2025

2024

Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder.

Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould

Trans. Mach. Learn. Res., 2024

Bi-directional Training for Composed Image Retrieval via Text Prompt Learning.

Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection.

Changsheng Lu, Zheyuan Liu, Piotr Koniusz

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems.

Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes

CoRR, 2023

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation.

Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning.

Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation.

Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes

CoRR, 2021

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models.

Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting.

Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu

CoRR, 2019