Luo, Xu

10 publications

TMLR 2025 Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang

ICLR 2025 Lumina-T2X: Scalable Flow-Based Large Diffusion Transformer for Flexible Resolution Generation Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xie, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, Tong He, Jingwen He, Junjun He, Yu Qiao, Hongsheng Li

CoRL 2025 Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation Youguang Xing, Xu Luo, Junlin Xie, Lianli Gao, Heng Tao Shen, Jingkuan Song

NeurIPS 2024 CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models Cheng Chen, Junchen Zhu, Xu Luo, Heng Tao Shen, Jingkuan Song, Lianli Gao

NeurIPS 2024 Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Xiangyang Zhu, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Lirui Zhao, Si Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao, Hongsheng Li, Peng Gao

ICML 2023 A Closer Look at Few-Shot Classification Again Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song

ICCV 2023 DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song

NeurIPS 2022 Alleviating the Sample Selection Bias in Few-Shot Learning by Removing Projection to the Centroid Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu

ICML 2022 Channel Importance Matters in Few-Shot Image Classification Xu Luo, Jing Xu, Zenglin Xu

NeurIPS 2021 Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian