Zeyue Xue

According to our database, Zeyue Xue authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Systematic Post-Train Framework for Video Generation.

Zeyue Xue, Siming Fu, Jie Huang, Shuai Lu, Haoran Li, Yijun Liu, Yuming Li, Xiaoxuan He, Mengzhao Chen, Haoyang Huang, Nan Duan, Ping Luo

CoRR, April, 2026

RAE-AR: Taming Autoregressive Models with Representation Autoencoders.

Hu Yu, Hang Xu, Jie Huang, Zeyue Xue, Haoyang Huang, Nan Duan, Feng Zhao

CoRR, April, 2026

Astrolabe: Steering Forward-Process Reinforcement Learning for Distilled Autoregressive Video Models.

Songchun Zhang, Zeyue Xue, Siming Fu, Jie Huang, Xianghao Kong, Y. Ma, Haoyang Huang, Nan Duan, Anyi Rao

CoRR, March, 2026

OmniForcing: Unleashing Real-time Joint Audio-Visual Generation.

Yaofeng Su, Yuming Li, Zeyue Xue, Jie Huang, Siming Fu, Haoran Li, Ying Li, Zezhong Qian, Haoyang Huang, Nan Duan

CoRR, March, 2026

AEGPO: Adaptive Entropy-Guided Policy Optimization for Diffusion Models.

Yuming Li, Qingyu Li, Chengyu Bai, Xiangyang Luo, Zeyue Xue, Wenyu Qin, Meng Wang, Yikai Wang, Shanghang Zhang

CoRR, February, 2026

2025

INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats.

Mengzhao Chen, Meng Wu, Hui Jin, Zhihang Yuan, Jing Liu, Chaoyi Zhang, Yunshui Li, Jie Huang, Jin Ma, Zeyue Xue, Zhiheng Liu, Xingyan Bin, Ping Luo

CoRR, October, 2025

RewardDance: Reward Scaling in Visual Generation.

Jie Wu, Yu Gao, Zilyu Ye, Ming Li, Liang Li, Hanzhong Guo, Jie Liu, Zeyue Xue, Xiaoxia Hou, Wei Liu, Yan Zeng, Weilin Huang

CoRR, September, 2025

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception.

Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang

CoRR, August, 2025

Scaling Law for Quantization-Aware Training.

Mengzhao Chen, Chaoyi Zhang, Jing Liu, Yutao Zeng, Zeyue Xue, Zhiheng Liu, Yunshui Li, Jin Ma, Jie Huang, Xun Zhou, Ping Luo

CoRR, May, 2025

DanceGRPO: Unleashing GRPO on Visual Generation.

Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo

CoRR, May, 2025

2024

Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization.

Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo

Proceedings of the IEEE International Conference on Acoustics, 2024

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance.

Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Align, Adapt and Inject: Sound-guided Unified Image Generation.

Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo

CoRR, 2023

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.

Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis.

Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

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

2022

Large-batch Optimization for Dense Visual Predictions.

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

CoRR, 2022

Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes.

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach.

Zeyue Xue, Pan Zhou, Zichuan Xu, Xiumin Wang, Yulai Xie, Xiaofeng Ding, Shiping Wen

IEEE Internet Things J., 2021

2020

Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach.

Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du

CoRR, 2020