Publications and Patents
Publications
M. Wang, Q. Gan, D. Wipf, et al.: 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs, NeurIPS 2024 Datasets and Benchmarks Track, accepted.
Y. Lou, Chuan Lei, X. Qin, Z. Wang, C. Faloutsos, R. Anubhai, H. Rangwala: DataLore: can LLM find all lost scrolls in a data repository?, ICDE 2024 Industrial and Applications Track
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K. Kong, J. Zhang, Z. Shen, B. Srinivasan, Chuan Lei, C. Faloutsos, H. Rangwala, G. Karypis: OpenTab: Advancing Large Language Models as Open-domain Table Reasoners, ICLR 2024
Preprint
V. Meduri, A. Quarmar, Chuan Lei, X. Qin, B. Reinwald: ALFA: Active Learning for Graph Neural Network-Based Semantic Schema Alignment, The VLDB Journal (2023)
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X. Hu, S. Wang, X. Qin, Chuan Lei, Z. Shen, C. Faloutsos, A. Katsifodimos, G. Karypis, L. Wen and P. S. Yu: Automatic Table Union Search with Tabular Representation Learning, ACL (Findings) 2023: 3786–3800
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X. Qin, N. Sheikh, Chuan Lei, B. Reinwald, G. Domeniconi: SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs, ICDE 2023: 2841-2854
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SLIDES
POSTER
Chuan Lei, A. Quamar, V. Efthymiou, F. Özcan, R. Alotaibi: HERMES: Data Placement and Schema Optimization for Enterprise Knowledge Bases, The VLDB Journal 32(3), 549–574 (2023)
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A. Quamar, V. Efthymiou, Chuan Lei, F. Özcan: Natural Language Interfaces to Data, Foundations and Trends® in Databases: Vol. 11: No. 4, 319-414
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N. Sheikh, X. Qin, B. Reinwald, Chuan Lei: Scaling Knowledge Graph Embedding Models for Link Prediction, EuroMLSys@EuroSys 2022: 87-94
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L. Ma, Chuan Lei, O. Poppe, E. Rundensteiner: Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation, SIGMOD 2022: 1122-1135
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SLIDES
J. Hao, Chuan Lei, V. Efthymiou, A. Quamar, F. Özcan, Y. Sun, W. Wang: MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks, SIGKDD 2021: 2946-2954
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A. Vretinaris, Chuan Lei, V. Efthymiou, X. Qin, F. Özcan: Medical Entity Disambiguation Using Graph Neural Networks, SIGMOD 2021: 2310-2318
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O. Poppe, Chuan Lei, L. Ma, A. Rozet, E. Rundensteiner: To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams, SIGMOD 2021: 1452-1464
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SLIDES
F. Özcan, Chuan Lei, A. Quamar, V. Efthymiou: Semantic Enrichment of Data for AI Applications, Invited Paper, 5th DEEM@SIGMOD 2021
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S. Ahmetaj, V. Efthymiou, R. Fagin, P. G. Kolaitis, Chuan Lei, F. Özcan, L. Popa: Ontology-Enriched Query Answering on Relational Databases, IAAI 2021: 15247-15254
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CODE
R. Alotaibi, Chuan Lei, A. Quamar, V. Efthymiou, F. Özcan: Property Graph Schema Optimization for Domain-Specific Knowledge Graphs, ICDE 2021: 924-935
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J. Sen, Chuan Lei, A. Quamar, F. Özcan, V. Efthymiou, A. Dalmia, G. Stager, A. Mittal, D. Saha, K. Sankaranarayanan: ATHENA++: Natural Language Querying for Complex Nested SQL Queries, PVLDB 13(11): 2747-2759 (2020)
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DATA
X. Han, L. Hu, J. Sen, Y. Dang, B. Gao, V. Isahagian, Chuan Lei, V. Efthymiou, F. Özcan, A. Quamar, Z. Huang, V. Muthusamy: Bootstrapping Natural Language Querying on Process Automation Data, IEEE SCC 2020: 170-177
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A. Rozet, O. Poppe, Chuan Lei, E. Rundensteiner: Muse: Multi-query Event Trend Aggregation, CIKM 2020: 2193-2196 (Best Short Paper Award)
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SLIDES
F. Özcan, A. Quamar, J. Sen, Chuan Lei, V. Efthymiou: State of the Art and Open Challenges in Natural Language Interfaces to Data, SIGMOD 2020 (Tutorial): 2629-2636
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A. Quamar, Chuan Lei, D. Miller, F. Özcan, J. Kreulen, R. J. Moore, V. Efthymiou: An Ontology-Based Conversation System for Knowledge Bases. SIGMOD 2020: 361-376
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Authors are listed in alphabetical order by authors' first names.Chuan Lei, V. Efthymiou, R. Geis and F. Özcan: Expanding Query Answers on Medical Knowledge Bases. EDBT 2020: 567-578
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O. Poppe, Chuan Lei, E. A. Rundensteiner, and D. Maier: Event Trend Aggregation Under Rich Event Matching Semantics. SIGMOD 2019: 555-572
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SLIDES
J. Sen, F. Özcan, A. Quamar, G. Stager, A. Mittal, M. Jammi, Chuan Lei, D. Saha, K. Sankaranarayanan: Natural Language Querying of Complex Business Intelligence Queries. SIGMOD 2019: 1997-2000
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,POSTER
Chuan Lei, F. Özcan, A. Quamar, et al.: Ontology-Based Natural Language Query Interfaces for Data Exploration. Invited Paper, IEEE Data Eng. Bull. 41(3): 52-63 (2018)
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O. Poppe, A. Rozet, Chuan Lei, E. A. Rundensteiner, and D. Maier: Sharon: Shared Online Event Sequence Aggregation. ICDE 2018: 737-748
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SLIDES
O. Poppe, Chuan Lei, E. A. Rundensteiner, and D. Maier: GRETA: Graph-based Real-time Event Trend Aggregation. PVLDB 11(1): 80-92 (2018)
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SLIDES
O. Poppe, Chuan Lei, S. Ahmed, and E. A. Rundensteiner: Complete Event Trend Detection in High-Rate Event Streams. SIGMOD 2017: 109-124
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SLIDES
O. Poppe, Chuan Lei, E. A. Rundensteiner, et al.: CAESAR: Context-Aware Event Stream Analytics for Urban Transportation Services. EDBT 2017: 590-593
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Z. Zhuang, Chuan Lei, E. A. Rundensteiner, and M. Y. Eltabakh: PRO: Preference-Aware Recurring Query Optimization. CIKM 2016: 2191-2196
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POSTER
M. Ray, Chuan Lei, and E. A. Rundensteiner: Scalable Pattern Sharing over Event Streams. SIGMOD 2016: 495-510
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SLIDES
M. Ray, Chuan Lei, and E. A. Rundensteiner: SPASS: Scalable Event Stream Processing Leveraging Sharing Opportunities. Invited Poster, DEBS 2016: 336-339
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POSTER
O. Poppe, Chuan Lei, E. A. Rundensteiner, and D. Dougherty: Context-aware Event Stream Analytics. EDBT 2016: 425-436
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SLIDES
E. A. Rundensteiner, O. Poppe, Chuan Lei, et al.: Exploiting Sharing Opportunities for Real-time Complex Event Analytics. Invited Paper, IEEE Data Eng. Bull. 38(4): 82-93 (2015)
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Chuan Lei, Z. Zhuang, E. A. Rundensteiner, and M. Y. Eltabakh: Shared Execution of Recurring Workloads in MapReduce. PVLDB 8(7): 714-725 (2015)
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Chuan Lei, E. A. Rundensteiner, and M. Y. Eltabakh: Redoop: Supporting Recurring Queries in Hadoop. EDBT 2014: 25-36
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Chuan Lei, Z. Zhuang, E. A. Rundensteiner, and M. Y. Eltabakh: Redoop Infrastructure for Recurring Big Data Queries. PVLDB 7(13): 1589-1592 (2014)
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Chuan Lei, E. A. Rundensteiner: Robust Distributed Query Processing for Streaming Data. ACM Trans. Database Syst. 39(2):17 (2014)
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Chuan Lei, E. A. Rundensteiner, and J. D. Guttman: Robust Distributed Stream Processing. ICDE 2013: 817-828
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R. Nehme, K. Works, Chuan Lei, E. A. Rundensteiner, and E. Bertino: Multi-route query processing and optimization. J. Comput. Syst. Sci. 79(3):312-329 (2013)
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Patents
AutoDoc: Concise and Consistent/Dependable Table Description Generation
Patent US App. 18/519,373, 2023Automatic Related Table Discovery in Data Lakes
Patent US App. 18/478,732, 2023Item Attribute Determination Using a Co-Engagement Graph
Patent US App. 17/935,916, 2022Directly Identifying Items From an Item Catalog Satisfying a Received Query Using a Model Determining Measures of Similarity Between Items in the Item Catalog and the Query
Patent US App. 17/542,491, 2021Hybrid Graph Neural Network
Patent US App. 17/161,093, 17/161,152, 2021Guided Exploration for Conversational Business Intelligence
Patent US App. 17/188,405, 2021Entity Disambiguation Using Graph Neural Networks
Patent US App. 17/130,107, 2020Reducing Response Time for Queries Directed to Domain-Specific Knowledge Graph using Property Graph Schema Optimization
US Patent 11,157,467, 2021Query Relaxation Using External Domain Knowledge for Query Answering
US Patent 11,841,867, 2019Ontology-based Data Storage for Distributed Knowledge Bases
Patent US App. 16/594,391, 2019