Optimizing Complex Event Processing over RFID Data Streams. - Qun Chen 001; Zhanhuai Li; Hailong Liu (ICDE, 2008)

Probabilistic Modeling of Streaming RFID Data by Using Correlated Variable-duration HMMs. - Yanming Nie; Zhanhuai Li; Shanglian Peng; Qun Chen 001 (SERA, 2009)

Optimization Techniques for RFID Complex Event Processing. - Hailong Liu; Qun Chen 001; Zhanhuai Li (J. Comput. Sci. Technol., 2009)

Online Pattern Aggregation over RFID Data Streams. - Hailong Liu; Zhanhuai Li; Qun Chen 001; Shanglian Peng (WAIM, 2010)

Effective XML Keyword Search through Valid Lowest Information Unit. - Ying Lou; Peng Wang; Zhanhuai Li; Qun Chen 001; Xia Li (WAIM Workshops, 2010)

Efficient Multiple Objects-Oriented Event Detection Over RFID Data Streams. - Shanglian Peng; Zhanhuai Li; Qiang Li; Qun Chen 001; Hailong Liu; Yanming Nie; Wei Pan 007 (WAIM, 2010)

Structure and Content Similarity for Clustering XML Documents. - Lijun Zhang 003; Zhanhuai Li; Qun Chen 001; Ning Li 022 (WAIM Workshops, 2010)

Complex Event Processing over Unreliable RFID Data Streams. - Yanming Nie; Zhanhuai Li; Qun Chen 001 (APWeb, 2011)

XIO-SLCA: Optimize SLCA for Effective Keyword Search in XML Documents. - Xia Li; Zhanhuai Li; PeiYing Wang; Qun Chen 001; Lijun Zhang 003; Ning Li 022 (WAIM Workshops, 2011)

Event Detection over Live and Archived Streams. - Shanglian Peng; Zhanhuai Li; Qiang Li; Qun Chen 001; Wei Pan 007; Hailong Liu; Yanming Nie (WAIM, 2011)

XIOTR : A Terse Ranking of XIO for XML Keyword Search. - Xia Li; Zhanhuai Li; Qun Chen 001; Ning Li 022 (J. Softw., 2011)

Mining Frequent Association Tag Sequences for Clustering XML Documents. - Lijun Zhang 003; Zhanhuai Li; Qun Chen 001; Xia Li; Ning Li 022; Ying Lou (APWeb, 2012)

A trust-based Top-K recommender system using social tagging network. - Jian Jin; Qun Chen 001 (FSKD, 2012)

MSMapper: An Adaptive Split Assignment Scheme for MapReduce. - Wei Pan 007; Zhanhuai Li; Qun Chen 001; Shanglian Peng; Bo Suo; Jian Xu (WAIM Workshops, 2012)

Semantic relevance ranking for XML keyword search. - Ying Lou; Zhanhuai Li; Qun Chen 001 (Inf. Sci., 2012)

Parallel Partitioning and Mining Gene Expression Data with Butterfly Network. - Tao Jiang 030; Zhanhuai Li; Qun Chen 001; Zhong Wang; Wei Pan 007; Zhuo Wang 002 (DEXA (1), 2013)

Towards Order-Preserving SubMatrix Search and Indexing. - Tao Jiang 030; Zhanhuai Li; Qun Chen 001; Kai-Wen Li; Zhong Wang; Wei Pan 007 (DASFAA (2), 2015)

OMEGA: An Order-Preserving SubMatrix Mining, Indexing and Search Tool. - Tao Jiang 030; Zhanhuai Li; Qun Chen 001; Zhong Wang; Kai-Wen Li; Wei Pan 007 (ECML/PKDD (3), 2015)

Discovering Functional Dependencies in Vertically Distributed Big Data. - Weibang Li; Zhanhuai Li; Qun Chen 001; Tao Jiang 030; Hailong Liu (WISE (2), 2015)

Discovering Approximate Functional Dependencies from Distributed Big Data. - Weibang Li; Zhanhuai Li; Qun Chen 001; Tao Jiang 030; Zhilei Yin (APWeb (2), 2016)

Web-based techniques for automatically detecting and correcting information errors in a database. - Hailong Liu; Zhanhuai Li; Cheqing Jin; Qun Chen 001 (BigComp, 2016)

Parallelizing Maximal Clique Enumeration Over Graph Data. - Qun Chen 001; Chao Fang; Zhuo Wang 002; Bo Suo; Zhanhuai Li; Zachary G. Ives (DASFAA (2), 2016)

DFA-G: A Unified Programming Model for Vertex-Centric Parallel Graph Processing. - Bo Suo; Jing Su; Qun Chen 001; Zhanhuai Li; Wei Pan 007 (ICDM Workshops, 2016)

Towards Scalable Subgraph Pattern Matching over Big Graphs on MapReduce. - Bo Suo; Zhanhuai Li; Qun Chen 001; Wei Pan 007 (ICPADS, 2016)

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)

A probabilistic ranking framework for web-based relational data imputation. - Zhaoqiang Chen; Qun Chen 001; Jiajun Li; Zhanhuai Li; Lei Chen 002 (Inf. Sci., 2016)

POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support. - Ping Zhong; Zhanhuai Li; Qun Chen 001; Yanyan Wang; Lianping Wang; Murtadha H. M. Ahmed; Fengfeng Fan (CIKM, 2017)

A Human-and-Machine Cooperative Framework for Entity Resolution with Quality Guarantees. - Zhaoqiang Chen; Qun Chen 001; Zhanhuai Li (ICDE, 2017)

GraphHP: A Hybrid Platform for Iterative Graph Processing. - Qun Chen 001; Song Bai; Zhanhuai Li; Zhiying Gou; Bo Suo; Wei Pan 007 (CoRR, 2017)

Enabling Quality Control for Entity Resolution: A Human and Machine Cooperative Framework. - Zhaoqiang Chen; Qun Chen 001; Fengfeng Fan; Yanyan Wang; Zhuo Wang 002; Zhanhuai Li (CoRR, 2017)

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)

GraphU: A Unified Vertex-Centric Parallel Graph Processing Platform. - Jing Su; Qun Chen 001; Zhuo Wang 002; Murtadha H. M. Ahmed; Zhanhuai Li (ICDCS, 2018)

Enabling Quality Control for Entity Resolution: A Human and Machine Cooperation Framework. - Zhaoqiang Chen; Qun Chen 001; Fengfeng Fan; Yanyan Wang; Zhuo Wang 002; Youcef Nafa; Zhanhuai Li; Hailong Liu; Wei Pan 007 (ICDE, 2018)

Attribute Value Matching with Limited Budget. - Fengfeng Fan; Zhanhuai Li; Qun Chen 001 (IScIDE, 2018)

SenHint: A Joint Framework for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints. - Yanyan Wang; Qun Chen 001; Xin Liu; Murtadha H. M. Ahmed; Zhanhuai Li; Wei Pan 007; Hailong Liu (WWW (Companion Volume), 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)

Automatic Web-based relational data imputation. - Hailong Liu; Zhanhuai Li; Qun Chen 001; Zhaoqiang Chen (Frontiers Comput. Sci., 2018)

GL-RF: a reconciliation framework for label-free entity resolution. - Yaoli Xu; Zhanhuai Li; Qun Chen 001; Fengfeng Fan (Frontiers Comput. Sci., 2018)

Reasoning about attribute value equivalence in relational data. - Fengfeng Fan; Zhanhuai Li; Qun Chen 001; Lei Chen 002 (Inf. Syst., 2018)

Relational data imputation with quality guarantee. - Fengfeng Fan; Zhanhuai Li; Qun Chen 001; Lei Chen 002 (Inf. Sci., 2018)

Hint-Embedding Attention-Based LSTM for Aspect Identification Sentiment Analysis. - Murtadha H. M. Ahmed; Qun Chen 001; Yanyan Wang; Zhanhuai Li (PRICAI (2), 2019)

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)

Reducing partition skew on MapReduce: an incremental allocation approach. - Zhuo Wang 002; Qun Chen 001; Bo Suo; Wei Pan 007; Zhanhuai Li (Frontiers Comput. Sci., 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)

Risk-based Adaptive Deep Learning for Entity Resolution. - Qun Chen 001; Zhaoqiang Chen; Youcef Nafa; Tianyi Duan; Zhanhuai Li (CoRR, 2020)

Constructing domain-dependent sentiment dictionary for sentiment analysis. - Murtadha H. M. Ahmed; Qun Chen 001; Zhanhuai Li (Neural Comput. Appl., 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)

DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis. - Murtadha H. M. Ahmed; Qun Chen 001; Yanyan Wang; Youcef Nafa; Zhanhuai Li; Tianyi Duan (ACL/IJCNLP (Findings), 2021)

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)

Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints. - Yanyan Wang; Qun Chen 001; Murtadha H. M. Ahmed; Zhanhuai Li; Wei Pan 007; Hailong Liu (IEEE Trans. Knowl. Data Eng., 2021)

Adaptive deep learning for network intrusion detection by risk analysis. - Lijun Zhang 003; Xingyu Lu; Zhaoqiang Chen; Tianwei Liu; Qun Chen 001; Zhanhuai Li (Neurocomputing, 2022)

Active deep learning on entity resolution by risk sampling. - Youcef Nafa; Qun Chen 001; Zhaoqiang Chen; Xingyu Lu; Haiyang He; Tianyi Duan; Zhanhuai Li (Knowl. Based Syst., 2022)

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

Few-shot Image Classification based on Gradual Machine Learning. - Na Chen; Xianming Kuang; Feiyu Liu; Kehao Wang 003; Qun Chen 001 (CoRR, 2023)

Adaptive deep learning for entity resolution by risk analysis. - Qun Chen 001; Zhaoqiang Chen; Youcef Nafa; Tianyi Duan; Wei Pan 007; Lijun Zhang 003; Zhanhuai Li (Knowl. Based Syst., 2023)

Supervised Gradual Machine Learning for Aspect-Term Sentiment Analysis. - Yanyan Wang; Qun Chen 001; Murtadha H. M. Ahmed; Zhaoqiang Chen; Jing Su; Wei Pan 007; Zhanhuai Li (Trans. Assoc. Comput. Linguistics, 2023)

Towards Exploratory Query Optimization for Template-Based SQL Workloads. - Jieming Feng; Zhanhuai Li; Qun Chen 001 (ICDE, 2024)

Few-shot image classification based on gradual machine learning. - Na Chen; Xianming Kuang; Feiyu Liu; Kehao Wang 003; Lijun Zhang 003; Qun Chen 001 (Expert Syst. Appl., 2024)

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

Automating localized learning for cardinality estimation based on XGBoost. - Jieming Feng; Zhanhuai Li; Qun Chen 001; Hailong Liu (Knowl. Inf. Syst., 2024)