Gu, Li

11 publications

WACV 2025 DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning Wenhao Gu, Li Gu, Ziqiang Wang, Ching Y Suen, Yang Wang

ICLR 2025 Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Zhixiang Chi, Li Gu, Huan Liu, Ziqiang Wang, Yanan Wu, Yang Wang, Konstantinos N Plataniotis

CVPR 2025 MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Wenhao Gu, Li Gu, Chingyee Yee Suen, Yang Wang

ICCV 2025 Plug-in Feedback Self-Adaptive Attention in CLIP for Training-Free Open-Vocabulary Segmentation Zhixiang Chi, Yanan Wu, Li Gu, Huan Liu, Ziqiang Wang, Yang Zhang, Yang Wang, Konstantinos Plataniotis

NeurIPS 2025 PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion Linlian Jiang, Rui Ma, Li Gu, Ziqiang Wang, Xinxin Zuo, Yang Wang

ICLR 2024 Adapting to Distribution Shift by Visual Domain Prompt Generation Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N Plataniotis, Yang Wang

ECCV 2024 Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams Ziqiang Wang, Zhixiang Chi, Yanan Wu, Li Gu, Zhi Liu, Konstantinos N Plataniotis, Yang Wang

ECCV 2022 Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang

NeurIPS 2022 Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang

CVPR 2022 MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang

ICML 2018 Adversarial Distillation of Bayesian Neural Network Posteriors Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel