Zheyuan Liu - RankMe

18 papers A* 2A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR 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, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	J	`jnl`	Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction. CoRR Zheyuan Liu, Junyan Wang, Zicheng Duan, Cristian Rodriguez Opazo, Anton van den Hengel
2025	J	`jnl`	Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction. Trans. Mach. Learn. Res. Zheyuan Liu, Junyan Wang, Zicheng Duan, Cristian Rodriguez Opazo, Anton van den Hengel
2024	A	`conf`	Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. WACV Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
2024	J	`jnl`	Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res. Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
2024	—	`conf`	OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection. ECCV (19) Changsheng Lu, Zheyuan Liu, Piotr Koniusz
2024	J	`jnl`	OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection. CoRR Changsheng Lu, Zheyuan Liu, Piotr Koniusz
2023	—	`conf`	All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. ICCV (Workshops) Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes
2023	J	`jnl`	All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. CoRR Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes
2023	J	`jnl`	An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems. CoRR Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes
2023	J	`jnl`	Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. CoRR Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould
2023	J	`jnl`	Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. CoRR Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
2023	A*	`conf`	Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CVPR Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes
2023	J	`jnl`	Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CoRR Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes
2021	J	`jnl`	GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. CoRR Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes
2021	A*	`conf`	Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. ICCV Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould
2021	J	`jnl`	Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. CoRR Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould
2019	J	`jnl`	Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. CoRR Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu