Yong, Lin

9 publications

ICLR 2024 Continuous Invariance Learning Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang

ICLR 2024 Spurious Feature Diversification Improves Out-of-Distribution Generalization Lin Yong, Lu Tan, Yifan Hao, Ho Nam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang

ICLR 2023 A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond Lin Yong, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han

TMLR 2023 Black-Box Prompt Learning for Pre-Trained Language Models Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Lin Yong, Xiao Zhou, Tong Zhang

ICLR 2023 Particle-Based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong, Xi Wang, Lin Yong, Tong Zhang

ICML 2023 Provably Invariant Learning Without Domain Information Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi

ICLR 2023 Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao, Renjie Pi, Lin Yong, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

ICML 2023 What Is Essential for Unseen Goal Generalization of Offline Goal-Conditioned RL? Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang

NeurIPSW 2022 Particle-Based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong, Xi Wang, Lin Yong, Tong Zhang