Zeyue Xue

According to our database, Zeyue Xue authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

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

CoRR, 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

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