Liu, Zheyuan

14 publications

NeurIPS 2025 CoT-Lized Diffusion: Let's Reinforce T2I Generation Step-by-Step Zheyuan Liu, Munan Ning, Qihui Zhang, Shuo Yang, Zhongrui Wang, Yiwei Yang, Xianzhe Xu, Yibing Song, Weihua Chen, Fan Wang, Li Yuan

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, 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 Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

TMLR 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

CVPR 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation Qihui Zhang, Munan Ning, Zheyuan Liu, Yue Huang, Shuo Yang, Yanbo Wang, Jiayi Ye, Xiao Chen, Yibing Song, Li Yuan

WACV 2024 Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould

TMLR 2024 Candidate Set Re-Ranking for Composed Image Retrieval with Dual Multi-Modal Encoder Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould

IJCAI 2024 DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai

ICLRW 2024 FacePhi: Lightweight Multimodal Large Language Model for Facial Landmark Emotion Recognition Hongjin Zhao, Zheyuan Liu, Yang Liu, Zhenyue Qin, Jiaxu Liu, Tom Gedeon

ECCV 2024 OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection Changsheng Lu, Zheyuan Liu, Piotr Koniusz

ICCVW 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

ICLR 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh Chawla, Chuxu Zhang

CVPR 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

CVPRW 2023 NTIRE 2023 Video Colorization Challenge Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo

ICCV 2021 Image Retrieval on Real-Life Images with Pre-Trained Vision-and-Language Models Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, Stephen Gould