Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space. - Shuo Li 010; Fang Liu 001; Zehua Hao; Kaibo Zhao; Licheng Jiao (ECCV (31), 2022)

Augmentative contrastive learning for one-shot object detection. - Yaoyang Du; Fang Liu 001; Licheng Jiao; Zehua Hao; Shuo Li 010; Xu Liu 006; Jing Liu 006 (Neurocomputing, 2022)

MinEnt: Minimum entropy for self-supervised representation learning. - Shuo Li 010; Fang Liu 001; Zehua Hao; Licheng Jiao; Xu Liu 006; Yuwei Guo 001 (Pattern Recognit., 2023)

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization. - Hao Wang 211; Fang Liu 001; Licheng Jiao; Jiahao Wang 002; Zehua Hao; Shuo Li 010; Lingling Li 002; Puhua Chen; Xu Liu 006 (AAAI, 2024)

Logits DeConfusion with CLIP for Few-Shot Learning. - Shuo Li 010; Fang Liu 001; Zehua Hao; Xinyi Wang; Lingling Li 002; Xu Liu 006; Puhua Chen; Wenping Ma 001 (CVPR, 2025)

Preserving text space integrity for robust compositional zero-shot learning via mixture of pretrained experts. - Zehua Hao; Fang Liu 001; Licheng Jiao; Yaoyang Du; Shuo Li 010; Hao Wang 211; Pengfang Li; Xu Liu 006; Puhua Chen (Neurocomputing, 2025)

LLM Knowledge-Driven Target Prototype Learning for Few-Shot Segmentation. - Pengfang Li; Fang Liu 001; Licheng Jiao; Shuo Li 010; Xu Liu 006; Puhua Chen; Lingling Li 002; Zehua Hao (Knowl. Based Syst., 2025)

Text generation and multi-modal knowledge transfer for few-shot object detection. - Yaoyang Du; Fang Liu 001; Licheng Jiao; Shuo Li 010; Zehua Hao; Pengfang Li; Jiahao Wang 002; Hao Wang 211; Xu Liu 006 (Pattern Recognit., 2025)