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Zhongwu Zhai
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2020 – today
- 2024
- [i1]Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. CoRR abs/2404.06395 (2024)
2010 – 2019
- 2012
- [j3]Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia:
Product Feature Grouping for Opinion Mining. IEEE Intell. Syst. 27(4): 37-44 (2012) - 2011
- [j2]Zhongwu Zhai, Hua Xu, Bada Kang, Peifa Jia:
Exploiting effective features for chinese sentiment classification. Expert Syst. Appl. 38(8): 9139-9146 (2011) - [j1]Jingyuan Wang, Hongbo Li, Zhongwu Zhai, Xiang Chen, Shiqiang Yang:
An Improved TCP Friendly Rate Control Algorithm for Wireless Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(11): 2295-2305 (2011) - [c7]Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia:
Identifying Evaluative Sentences in Online Discussions. AAAI 2011: 933-938 - [c6]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Constrained LDA for Grouping Product Features in Opinion Mining. PAKDD (1) 2011: 448-459 - [c5]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Clustering product features for opinion mining. WSDM 2011: 347-354 - 2010
- [c4]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. COLING 2010: 1272-1280 - [c3]Zhongwu Zhai, Hua Xu, Jun Li, Peifa Jia:
Feature Subsumption for Sentiment Classification in Multiple Languages. PAKDD (2) 2010: 261-271
2000 – 2009
- 2009
- [c2]Zhongwu Zhai, Hua Xu, Jun Li, Peifa Jia:
Sentiment classification for Chinese reviews based on key substring features. NLPKE 2009: 1-8 - 2008
- [c1]Zhongwu Zhai, Hua Xu, Peifa Jia:
Identifying Opinion Leaders in BBS. Web Intelligence/IAT Workshops 2008: 398-401
Coauthor Index
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last updated on 2024-07-30 20:46 CEST by the dblp team
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