Zehua Hao

According to our database, Zehua Hao authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Text generation and multi-modal knowledge transfer for few-shot object detection.

Yaoyang Du, Fang Liu, Licheng Jiao, Shuo Li, Zehua Hao, Pengfang Li, Jiahao Wang, Hao Wang, Xu Liu

Pattern Recognit., 2025

LLM Knowledge-Driven Target Prototype Learning for Few-Shot Segmentation.

Pengfang Li, Fang Liu, Licheng Jiao, Shuo Li, Xu Liu, Puhua Chen, Lingling Li, Zehua Hao

Knowl. Based Syst., 2025

Preserving text space integrity for robust compositional zero-shot learning via mixture of pretrained experts.

Zehua Hao, Fang Liu, Licheng Jiao, Yaoyang Du, Shuo Li, Hao Wang, Pengfang Li, Xu Liu, Puhua Chen

Neurocomputing, 2025

Logits DeConfusion with CLIP for Few-Shot Learning.

Shuo Li, Fang Liu, Zehua Hao, Xinyi Wang, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization.

Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MinEnt: Minimum entropy for self-supervised representation learning.

Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo

Pattern Recognit., June, 2023

2022

Augmentative contrastive learning for one-shot object detection.

Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu

Neurocomputing, 2022

Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space.

Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao

Proceedings of the Computer Vision - ECCV 2022, 2022