| 2025 | AAAI | Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. | Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu |
| 2025 | EMNLP | HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models. | Chuan He, Zhuozhao Li, Song Guo, Xiaocheng Lu, Jinxiang Lai |
| 2024 | AAAI | ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. | Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu |
| 2024 | CVPR | DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. | Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu |
| 2024 | IJCAI | ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. | Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo |
| 2024 | IJCAI | Dual Expert Distillation Network for Generalized Zero-Shot Learning. | Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao |
| 2023 | AAAI | Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. | Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo |
| 2023 | CVPR | (ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. | Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo |
| 2023 | CVPR | Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. | Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo |