| 2025 | IRI | Database Entity Recognition with Data Augmentation and Deep Learning. | Zikun Fu, Chen Yang, Kourosh Davoudi, Ken Q. Pu |
| 2022 | IRI | Neural Network Accelerated Tuple Search For Relational Data. | Limin Ma, Ken Q. Pu |
| 2020 | IRI | Semantic Data Understanding with Character Level Learning. | Michael J. Mior, Ken Q. Pu |
| 2020 | IRI | NLP Relational Queries and Its Application. | Andrei Stoica, Ken Q. Pu, Heidar Davoudi |
| 2020 | IRI | Data Driven Relational Constraint Programming. | Michael Valdron, Ken Q. Pu |
| 2020 | SIGMOD | Organizing Data Lakes for Navigation. | Fatemeh Nargesian, Ken Q. Pu, Erkang Zhu, Bahar Ghadiri Bashardoost, Rene J. Miller |
| 2019 | IRI | Scalable Analysis of Open Data Graphs. | Andrei Stoica, Michael Valdron, Ken Q. Pu |
| 2018 | BigData | Towards Optimal Snapshot Materialization to Support Large Query Workload for Append-Only Temporal Databases. | Amin Beiraimi, Ken Q. Pu, Ying Zhu |
| 2014 | ACCV | Towards Efficient Feedback Control in Streaming Computer Vision Pipelines. | Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi |
| 2014 | CVPR | A Stream Algebra for Computer Vision Pipelines. | Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi |
| 2014 | IRI | Using document space for relational search. | Richard Drake, Ken Q. Pu |
| 2012 | AVSS | Road Boundary Detection in Challenging Scenarios. | Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi |
| 2011 | IRI | Selection of features for surname classification. | Lev Rachevsky, Ken Q. Pu |
| 2010 | CIKM | Online annotation of text streams with structured entities. | Ken Q. Pu, Oktie Hassanzadeh, Richard Drake, Rene J. Miller |
| 2010 | IRI | Tag grid: Supporting collaborative and fuzzy multidimensional queries of tagged datasets. | Ken Q. Pu, Russell Cheung |
| 2009 | GLOBECOM | Spatial Inference Using Networks of RFID Receiver: A Bayesian Approach. | Ying Zhu, William Howard, Ken Q. Pu |
| 2009 | ICDE | FRISK: Keyword Query Cleaning and Processing in Action. | Ken Q. Pu, Xiaohui Yu |
| 2009 | IRI | Visual Integration Tool for Heterogeneous Data Type by Unified Vectorization. | Farid Bourennani, Ken Q. Pu, Ying Zhu |
| 2009 | SIGMOD | Keyword query cleaning using hidden Markov models. | Ken Q. Pu |
| 2008 | GLOBECOM | Adaptive Multicast Tree Construction for Elastic Data Streams. | Ying Zhu, Ken Q. Pu |
| 2008 | IRI | Modeling and synthesis of service composition using tree automata. | Ken Q. Pu, Ying Zhu |
| 2007 | ICDE | Fast Identification of Relational Constraint Violations. | Amit Chandel, Nick Koudas, Ken Q. Pu, Divesh Srivastava |
| 2007 | ICDE | Service Description and Analysis From a Type Theoretic Approach. | Ken Q. Pu |
| 2007 | SSDBM | Efficient Indexing of Heterogeneous Data Streams with Automatic Performance Configurations. | Ken Q. Pu, Ying Zhu |
| 2006 | ICDE | Syntactic Rule Based Approach toWeb Service Composition. | Ken Q. Pu, Vagelis Hristidis, Nick Koudas |
| 2005 | CIKM | Typed functional query languages with equational specifications. | Ken Q. Pu, Alberto O. Mendelzon |
| 2005 | DOLAP | Modeling, querying and reasoning about OLAP databases: a functional approach. | Ken Q. Pu |
| 2005 | ICDE | Monitoring K-Nearest Neighbor Queries Over Moving Objects. | Xiaohui Yu, Ken Q. Pu, Nick Koudas |
| 2003 | PODS | Concise descriptions of subsets of structured sets. | Alberto O. Mendelzon, Ken Q. Pu |