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Journal Articles
- 2024
[j8]Youcef Nafa
, Qun Chen, Boyi Hou, Zhanhuai Li:
Adaptive deep learning for entity disambiguation via knowledge-based risk analysis. Expert Syst. Appl. 238(Part F): 122342 (2024)- 2022
- [j7]Boyi Hou, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li:
Gradual Machine Learning for Entity Resolution. IEEE Trans. Knowl. Data Eng. 34(4): 1803-1814 (2022) - 2021
- [j6]Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou:
Attention-Enhanced Gradual Machine Learning for Entity Resolution. IEEE Intell. Syst. 36(6): 71-79 (2021) - [j5]Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed:
Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference. Inf. 12(3): 124 (2021) - [j4]Yanyan Wang, Qun Chen, Jiquan Shen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li:
Aspect-level sentiment analysis based on gradual machine learning. Knowl. Based Syst. 212: 106509 (2021) - 2020
- [j3]Boyi Hou, Qun Chen, Zhaoqiang Chen, Youcef Nafa, Zhanhuai Li:
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees. IEEE Trans. Knowl. Data Eng. 32(2): 347-359 (2020) - 2017
- [j2]Zhuo Wang, Qun Chen, Boyi Hou, Bo Suo, Zhanhuai Li, Wei Pan, Zachary G. Ives:
Parallelizing maximal clique and k-plex enumeration over graph data. J. Parallel Distributed Comput. 106: 79-91 (2017) - 2016
- [j1]Boyi Hou, Zhuo Wang, Qun Chen, Bo Suo, Chao Fang, Zhanhuai Li, Zachary G. Ives:
Efficient Maximal Clique Enumeration Over Graph Data. Data Sci. Eng. 1(4): 219-230 (2016)
Conference and Workshop Papers
- 2020
- [c4]Zhaoqiang Chen, Qun Chen, Boyi Hou, Zhanhuai Li, Guoliang Li:
Towards Interpretable and Learnable Risk Analysis for Entity Resolution. SIGMOD Conference 2020: 1165-1180 - 2019
- [c3]Boyi Hou, Qun Chen, Jiquan Shen, Xin Liu, Ping Zhong, Yanyan Wang, Zhaoqiang Chen, Zhanhuai Li:
Gradual Machine Learning for Entity Resolution. WWW 2019: 3526-3530 - 2018
- [c2]Zhaoqiang Chen, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li:
Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective. BIRTE 2018: 4:1-4:5 - [c1]Boyi Hou, Youcef Nafa:
Enabling Temporal Reasoning for Fact Statements: A Web-Based Approach. DASFAA Workshops 2018: 99-107
Informal and Other Publications
- 2019
- [i5]Yanyan Wang, Qun Chen, Jiquan Shen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li:
Gradual Machine Learning for Aspect-level Sentiment Analysis. CoRR abs/1906.02502 (2019) - [i4]Zhaoqiang Chen, Qun Chen, Boyi Hou, Tianyi Duan, Zhanhuai Li, Guoliang Li:
Towards Interpretable and Learnable Risk Analysis for Entity Resolution. CoRR abs/1912.02947 (2019) - 2018
- [i3]Boyi Hou, Qun Chen, Zhaoqiang Chen, Youcef Nafa, Zhanhuai Li:
i-HUMO: An Interactive Human and Machine Cooperation Framework for Entity Resolution with Quality Guarantees. CoRR abs/1803.05714 (2018) - [i2]Zhaoqiang Chen, Qun Chen, Boyi Hou, Murtadha H. M. Ahmed, Zhanhuai Li:
Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective. CoRR abs/1805.12502 (2018) - [i1]Boyi Hou, Qun Chen, Yanyan Wang, Ping Zhong, Murtadha H. M. Ahmed, Zhaoqiang Chen, Zhanhuai Li:
Gradual Machine Learning for Entity Resolution. CoRR abs/1810.12125 (2018)
Coauthor Index
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