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2020 – today
- 2024
[c7]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. ACL (Findings) 2024: 1679-1705- [c6]Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing:
Exploring the Potential of Large Language Models in Computational Argumentation. ACL (1) 2024: 2309-2330 - [c5]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. EMNLP (Findings) 2024: 16763-16780 - [c4]Yue Liu, Guizhen Chen, Yushan Chen, Guixia Fu, Guofeng Zou:
Unsupervised Person Re-ID Based on Nonlinear Asymmetric Metric Learning. PRCV (15) 2024: 523-536 - [i7]Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing:
How do Large Language Models Handle Multilingualism? CoRR abs/2402.18815 (2024) - [i6]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. CoRR abs/2403.02990 (2024) - 2023
- [j4]Yue Liu, Guofeng Zou, Guizhen Chen, Mingliang Gao, Liju Yin:
Unsupervised person re-identification based on distribution regularization constrained asymmetric metric learning. Appl. Intell. 53(23): 28879-28894 (2023) - [j3]Guizhen Chen
, Guofeng Zou, Yue Liu, Xiaofei Zhang, Guixia Fu:
Few-shot person re-identification based on Feature Set Augmentation and Metric Fusion. Eng. Appl. Artif. Intell. 125: 106761 (2023) - [c3]Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing:
Zero-Shot Text Classification via Self-Supervised Tuning. ACL (Findings) 2023: 1743-1761 - [c2]Guizhen Chen, Guofeng Zou, Jinjie Li, Xiaofei Zhang:
Few-Shot Person Re-identification Based on Hybrid Pooling Fusion and Gaussian Relation Metric. CCBR 2023: 249-258 - [i5]Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing:
Zero-Shot Text Classification via Self-Supervised Tuning. CoRR abs/2305.11442 (2023) - [i4]Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing:
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. CoRR abs/2305.14434 (2023) - [i3]Chang Gao, Wenxuan Zhang, Guizhen Chen, Wai Lam:
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. CoRR abs/2310.02953 (2023) - [i2]Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing:
Exploring the Potential of Large Language Models in Computational Argumentation. CoRR abs/2311.09022 (2023) - [i1]Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Contrastive Chain-of-Thought Prompting. CoRR abs/2311.09277 (2023) - 2022
- [j2]Guixia Fu, Guizhen Chen, Wei Wang, Qinbing Wang, Guofeng Zou:
Series Arc Fault Detection in a Low-Voltage Power System Based on CEEMDAN Decomposition and Sensitive IMF Selection. J. Sensors 2022: 1-14 (2022) - [j1]Zhilong Xi, Huadong Xu, Yanqiu Xing, Weishu Gong, Guizhen Chen, Shuhang Yang:
Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods. Remote. Sens. 14(2): 364 (2022)
2000 – 2009
- 2007
- [c1]Li Gao, Yanjun Hu, Guizhen Chen, Hongzhen Yu:
Prediction of Gas Emission Volume Based on Wavelet Neural Network. ICNC (2) 2007: 50-53
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