Huang, Zhichao

9 publications

AAAI 2025 Core Knowledge Learning Framework for Graph Bowen Zhang, Zhichao Huang, Guangning Xu, Xiaomao Fan, Mingyan Xiao, Genan Dai, Hu Huang

JMLR 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk

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

ICML 2023 Towards Stable and Efficient Adversarial Training Against $l_1$ Bounded Adversarial Attacks Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk

CVPR 2021 Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang

CVPR 2021 Prototype Completion with Primitive Knowledge for Few-Shot Learning Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang

ICLR 2020 Black-Box Adversarial Attack with Transferable Model-Based Embedding Zhichao Huang, Tong Zhang

IJCAI 2020 MR-GCN: Multi-Relational Graph Convolutional Networks Based on Generalized Tensor Product Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng

NeurIPS 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems Luo Luo, Haishan Ye, Zhichao Huang, Tong Zhang