Liu, Yulong

5 publications

NeurIPS 2025 Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge Yiyang Cai, Zhengkai Jiang, Yulong Liu, Chunyang Jiang, Wei Xue, Yike Guo, Wenhan Luo

CVPR 2025 HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang

AAAI 2025 See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI Yulong Liu, Yongqiang Ma, Guibo Zhu, Haodong Jing, Nanning Zheng

NeurIPS 2022 TaiSu: A 166m Large-Scale High-Quality Dataset for Chinese Vision-Language Pre-Training Yulong Liu, Guibo Zhu, Bin Zhu, Qi Song, Guojing Ge, Haoran Chen, GuanHui Qiao, Ru Peng, Lingxiang Wu, Jinqiao Wang

NeurIPS 2021 Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-Dimensional Vector Autoregressive Models Xiao Lv, Wei Cui, Yulong Liu