Efficient Maximal Clique Enumeration Over Graph Data. - Boyi Hou; Zhuo Wang 002; Qun Chen 001; Bo Suo; Chao Fang; Zhanhuai Li; Zachary G. Ives (Data Sci. Eng., 2016)

Parallelizing maximal clique and k-plex enumeration over graph data. - Zhuo Wang 002; Qun Chen 001; Boyi Hou; Bo Suo; Zhanhuai Li; Wei Pan 007; Zachary G. Ives (J. Parallel Distributed Comput., 2017)

Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective. - Zhaoqiang Chen; Qun Chen 001; Boyi Hou; Murtadha H. M. Ahmed; Zhanhuai Li (BIRTE, 2018)

Enabling Temporal Reasoning for Fact Statements: A Web-Based Approach. - Boyi Hou; Youcef Nafa (DASFAA Workshops, 2018)

i-HUMO: An Interactive Human and Machine Cooperation Framework for Entity Resolution with Quality Guarantees. - Boyi Hou; Qun Chen 001; Zhaoqiang Chen; Youcef Nafa; Zhanhuai Li (CoRR, 2018)

Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective. - Zhaoqiang Chen; Qun Chen 001; Boyi Hou; Murtadha H. M. Ahmed; Zhanhuai Li (CoRR, 2018)

Gradual Machine Learning for Entity Resolution. - Boyi Hou; Qun Chen 001; Yanyan Wang; Ping Zhong; Murtadha H. M. Ahmed; Zhaoqiang Chen; Zhanhuai Li (CoRR, 2018)

Gradual Machine Learning for Entity Resolution. - Boyi Hou; Qun Chen 001; Jiquan Shen; Xin Liu; Ping Zhong; Yanyan Wang; Zhaoqiang Chen; Zhanhuai Li (WWW, 2019)

Gradual Machine Learning for Aspect-level Sentiment Analysis. - Yanyan Wang; Qun Chen 001; Jiquan Shen; Boyi Hou; Murtadha H. M. Ahmed; Zhanhuai Li (CoRR, 2019)

Towards Interpretable and Learnable Risk Analysis for Entity Resolution. - Zhaoqiang Chen; Qun Chen 001; Boyi Hou; Tianyi Duan; Zhanhuai Li; Guoliang Li 001 (CoRR, 2019)

Towards Interpretable and Learnable Risk Analysis for Entity Resolution. - Zhaoqiang Chen; Qun Chen 001; Boyi Hou; Zhanhuai Li; Guoliang Li 001 (SIGMOD Conference, 2020)

r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees. - Boyi Hou; Qun Chen 001; Zhaoqiang Chen; Youcef Nafa; Zhanhuai Li (IEEE Trans. Knowl. Data Eng., 2020)

Attention-Enhanced Gradual Machine Learning for Entity Resolution. - Ping Zhong; Zhanhuai Li; Qun Chen 001; Boyi Hou (IEEE Intell. Syst., 2021)

Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference. - Ping Zhong; Zhanhuai Li; Qun Chen 001; Boyi Hou; Murtadha H. M. Ahmed (Inf., 2021)

Aspect-level sentiment analysis based on gradual machine learning. - Yanyan Wang; Qun Chen 001; Jiquan Shen; Boyi Hou; Murtadha H. M. Ahmed; Zhanhuai Li (Knowl. Based Syst., 2021)

Gradual Machine Learning for Entity Resolution. - Boyi Hou; Qun Chen 001; Yanyan Wang; Youcef Nafa; Zhanhuai Li (IEEE Trans. Knowl. Data Eng., 2022)

Adaptive deep learning for entity disambiguation via knowledge-based risk analysis. - Youcef Nafa; Qun Chen 001; Boyi Hou; Zhanhuai Li (Expert Syst. Appl., 2024)

xDeepServe: Model-as-a-Service on Huawei CloudMatrix384. - Ao Xiao; Bangzheng He; Baoquan Zhang; Baoxing Huai; Bingji Wang; Bo Wang; Bo Xu; Boyi Hou; Chan Yang; Changhong Liu; Cheng Cui; Chenyu Zhu; et al. (CoRR, 2025)