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2020 – today
- 2024
[c6]Fuhan Cai, Duo Liu, Zhongqiang Zhang, Ge Liu, Xiaozhe Yang, Xiangzhong Fang:
NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. LREC/COLING 2024: 12117-12126- [c5]Fuhan Cai, Zhongqiang Zhang, Duo Liu, Xiangzhong Fang:
COPHTC: Contrastive Learning with Prompt Tuning for Hierarchical Text Classification. ICASSP 2024: 5400-5404 - [c4]Duo Liu, Linglan Zhao, Zhongqiang Zhang, Fuhan Cai, Xiangzhong Fang:
Distillation Excluding Positives for Few-Shot Class-Incremental Learning. ICME 2024: 1-6 - [c3]Zhongqiang Zhang, Fuhan Cai, Duo Liu, Ge Liu, Xiangzhong Fang:
Mix background and foreground separately: Transformer-based Augmentation Strategies for Domain Generalization. ICME 2024: 1-6 - 2023
- [j1]Zhongqiang Zhang
, Ge Liu, Fuhan Cai, Duo Liu, Xiangzhong Fang:
Boosting domain generalization by domain-aware knowledge distillation. Knowl. Based Syst. 280: 111021 (2023) - [c2]Ge Liu, Zhongqiang Zhang, Fuhan Cai, Duo Liu, Xiangzhong Fang:
Learning and Adapting Diverse Representations for Cross-domain Few-shot Learning. ICDM (Workshops) 2023: 294-303 - [c1]Zhongqiang Zhang, Ge Liu, Fuhan Cai, Duo Liu, Xiangzhong Fang:
Efficient Attention for Domain Generalization. ICONIP (9) 2023: 245-257
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