Queries on dates: fast yet not blind. - Jaroslaw Szlichta; Parke Godfrey; Jarek Gryz; Wenbin Ma; Przemyslaw Pawluk; Calisto Zuzarte (EDBT, 2011)

Chasing Polarized Order Dependencies. - Jaroslaw Szlichta; Parke Godfrey; Jarek Gryz (AMW, 2012)

Fundamentals of Order Dependencies. - Jaroslaw Szlichta; Parke Godfrey; Jarek Gryz (Proc. VLDB Endow., 2012)

Axiomatic System for Order Dependencies. - Jaroslaw Szlichta; Parke Godfrey; Jarek Gryz; Calisto Zuzarte (AMW, 2013)

Expressiveness and Complexity of Order Dependencies. - Jaroslaw Szlichta; Parke Godfrey; Jarek Gryz; Calisto Zuzarte (Proc. VLDB Endow., 2013)

Business-Intelligence Queries with Order Dependencies in DB2. - Jaroslaw Szlichta; Parke Godfrey; Jarek Gryz; Wenbin Ma; Weinan Qiu; Calisto Zuzarte (EDBT, 2014)

Continuous data cleaning. - Maksims Volkovs; Fei Chiang; Jaroslaw Szlichta; Renée J. Miller (ICDE, 2014)

MeanKS: meaningful keyword search in relational databases with complex schema. - Mehdi Kargar; Aijun An; Nick Cercone; Parke Godfrey; Jaroslaw Szlichta; Xiaohui Yu 001 (SIGMOD Conference, 2014)

On Axiomatization and Inference Complexity over a Hierarchy of Functional Dependencies. - Jaroslaw Szlichta; Lukasz Golab; Divesh Srivastava (AMW, 2015)

Meaningful keyword search in relational databases with large and complex schema. - Mehdi Kargar; Aijun An; Nick Cercone; Parke Godfrey; Jaroslaw Szlichta; Xiaohui Yu 001 (ICDE, 2015)

OptImatch: Semantic Web System with Knowledge Base for Query Performance Problem Determination. - Guilherme Damasio; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (CoRR, 2015)

Effective Keyword Search in Graphs. - Mehdi Kargar; Lukasz Golab; Jaroslaw Szlichta (CoRR, 2015)

Combining Quantitative and Logical Data Cleaning. - Nataliya Prokoshyna; Jaroslaw Szlichta; Fei Chiang; Renée J. Miller; Divesh Srivastava (Proc. VLDB Endow., 2015)

Ontology Functional Dependencies. - Alexander Keller 003; Jaroslaw Szlichta (AMW, 2016)

ARC: A pipeline approach enabling large-scale graph visualization. - Michael Ferron; Ken Q. Pu; Jaroslaw Szlichta (ASONAM, 2016)

eGraphSearch: Effective Keyword Search in Graphs. - Mehdi Kargar; Lukasz Golab; Jaroslaw Szlichta (CIKM, 2016)

Query Performance Problem Determination with Knowledge Base in Semantic Web System OptImatch. - Guilherme Damasio; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (EDBT, 2016)

OptImatch: Semantic web system for query problem determination. - Guilherme Damasio; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (ICDE, 2016)

Efficient Discovery of Ontology Functional Dependencies. - Sridevi Baskaran; Alexander Keller 003; Fei Chiang; Jaroslaw Szlichta (CoRR, 2016)

Meaningful Keyword Search over Databases with Complex Schema. - Mehdi Kargar; Aijun An; Parke Godfrey; Jaroslaw Szlichta; Xiaohui Yu 001 (AMW, 2017)

Efficient Discovery of Ontology Functional Dependencies. - Sridevi Baskaran; Alexander Keller 003; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (CIKM, 2017)

Authority-based Team Discovery in Social Networks. - Morteza Zihayat; Aijun An; Lukasz Golab; Mehdi Kargar; Jaroslaw Szlichta (EDBT, 2017)

Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization. - Jaroslaw Szlichta; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava (Proc. VLDB Endow., 2017)

Effective Team Formation in Expert Networks. - Morteza Zihayat; Aijun An; Lukasz Golab; Mehdi Kargar; Jaroslaw Szlichta (AMW, 2018)

FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies. - Zheng Zheng 005; Morteza Alipour; Zhi Qu; Ian Currie; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (EDBT, 2018)

Contextual Data Cleaning. - Morteza Alipour Langouri; Zheng Zheng 005; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (ICDE Workshops, 2018)

FASTOD: Bringing Order to Data. - Alexandar Mihaylov; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2018)

Effective and complete discovery of bidirectional order dependencies via set-based axioms. - Jaroslaw Szlichta; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava (VLDB J., 2018)

Order Dependency. - Jaroslaw Szlichta (Encyclopedia of Database Systems (2nd ed.), 2018)

Bring Order to Data. - Heidar Davoudi; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (AMW, 2019)

Mining and exploration of attributed graphs: theory and applications. - Mehdi Kargar; Morteza Zihayat; Jaroslaw Szlichta (CASCON, 2019)

Errata Note: Discovering Order Dependencies through Order Compatibility. - Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (CoRR, 2019)

Discovery of Band Order Dependencies. - Pei Li; Michael H. Böhlen; Jaroslaw Szlichta; Divesh Srivastava (CoRR, 2019)

GALO: Guided Automated Learning for re-Optimization. - Guilherme Damasio; Spencer Bryson; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (Proc. VLDB Endow., 2019)

Guided automated learning for query workload re-optimization. - Guilherme Damasio; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Alexandar Mihaylov; Jaroslaw Szlichta; Calisto Zuzarte (Proc. VLDB Endow., 2019)

Learning to Form Skill-based Teams of Experts. - Radin Hamidi Rad; Hossein Fani 001; Mehdi Kargar; Jaroslaw Szlichta; Ebrahim Bagheri (CIKM, 2020)

Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019). - Jaroslaw Szlichta; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava (EDBT, 2020)

Discovering Band Order Dependencies. - Pei Li; Jaroslaw Szlichta; Michael H. Böhlen; Divesh Srivastava (ICDE, 2020)

Discovering Domain Orders through Order Dependencies. - Reza Karegar; Melicaalsadat Mirsafian; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (CoRR, 2020)

Joint Variational Autoencoders for Recommendation with Implicit Feedback. - Bahare Askari; Jaroslaw Szlichta; Amirali Salehi-Abari (CoRR, 2020)

Compact group discovery in attributed graphs and social networks. - Abeer Khan; Lukasz Golab; Mehdi Kargar; Jaroslaw Szlichta; Morteza Zihayat (Inf. Process. Manag., 2020)

Robust keyword search in large attributed graphs. - Spencer Bryson; Heidar Davoudi; Lukasz Golab; Mehdi Kargar; Yuliya Lytvyn; Piotr Mierzejewski; Jaroslaw Szlichta; Morteza Zihayat (Inf. Retr. J., 2020)

Scalable Learning to Troubleshoot Query Performance Problems. - Alexandar Mihaylov; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (CIKM, 2021)

RW-Team: Robust Team Formation using Random Walk. - John Nemec; Heidar Davoudi; Lukasz Golab; Mehdi Kargar; Yuliya Lytvyn; Piotr Mierzejewski; Jaroslaw Szlichta; Morteza Zihayat (CIKM, 2021)

PyTFL: A Python-based Neural Team Formation Toolkit. - Radin Hamidi Rad; Aabid Mitha; Hossein Fani 001; Mehdi Kargar; Jaroslaw Szlichta; Ebrahim Bagheri (CIKM, 2021)

Efficient Discovery of Approximate Order Dependencies. - Reza Karegar; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (EDBT, 2021)

Effective Keyword Search in Weighted Graphs (Extended Abstract). - Mehdi Kargar; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta; Morteza Zihayat (ICDE, 2021)

Variational Autoencoders for Top-K Recommendation with Implicit Feedback. - Bahare Askari; Jaroslaw Szlichta; Amirali Salehi-Abari (SIGIR, 2021)

Retrieving Skill-Based Teams from Collaboration Networks. - Radin Hamidi Rad; Ebrahim Bagheri; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (SIGIR, 2021)

Discovery and Contextual Data Cleaning with Ontology Functional Dependencies. - Zheng Zheng 005; Longtao Zheng; Morteza Alipour Langouri; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (CoRR, 2021)

ML4DM: The second workshop on the emerging applications of machine learning in modern data management. - Amin Kamali; Jarek Szlichta; Calisto Zuzarte; Yueting Chen; Verena Kantere; Shaikh Quader (CASCON, 2022)

BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML. - Connor Henderson; Spencer Bryson; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (CIKM, 2022)

Fine-Tuning Dependencies with Parameters. - Alireza Vezvaei; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta; Morteza Zihayat (EDBT, 2022)

Discovering Domain Orders via Order Dependencies. - Reza Karegar; Melicaalsadat Mirsafian; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2022)

abcOD: Mining Band Order Dependencies. - Pei Li; Jessica Jessica; Naida Tania; Michael H. Böhlen; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2022)

Subgraph Representation Learning for Team Mining. - Radin Hamidi Rad; Ebrahim Bagheri; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (WebSci, 2022)

Contextual Data Cleaning with Ontology Functional Dependencies. - Zheng Zheng 005; Longtao Zheng; Morteza Alipour Langouri; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta; Sridevi Baskaran (ACM J. Data Inf. Qual., 2022)

Effective Keyword Search Over Weighted Graphs. - Mehdi Kargar; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta; Morteza Zihayat (IEEE Trans. Knowl. Data Eng., 2022)

ABC of order dependencies. - Pei Li; Jaroslaw Szlichta; Michael H. Böhlen; Divesh Srivastava (VLDB J., 2022)

ML4DM '23: The Third Workshop on the Emerging Applications of Machine Learning in Modern Data Management. - Amin Kamali; Calisto Zuzarte; Verena Kantere; Jaroslaw Szlichta; Yueting Chen; Xiaohui Yu 001; Ning Wang (CASCON, 2023)

EAGER: Explainable Question Answering Using Knowledge Graphs. - Andrew Chai; Alireza Vezvaei; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta; Morteza Zihayat (GRADES-NDA@SIGMOD, 2023)

iORDER: Mining Implicit Domain Orders. - Alexander Bianchi; Reza Karegar; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2023)

BLUTune: Tuning Up IBM Db2 with ML. - Connor Henderson; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (ICDE, 2023)

CREDENCE: Counterfactual Explanations for Document Ranking. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2023)

Learning heterogeneous subgraph representations for team discovery. - Radin Hamidi Rad; Hoang Nguyen; Feras N. Al-Obeidat; Ebrahim Bagheri; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta; Fattane Zarrinkalam (Inf. Retr. J., 2023)

On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. - Armin Esmaeilzadeh; Joel Rorseth; Andy Yu; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta; Kazem Taghva (GUIDE-AI@SIGMOD, 2024)

Explaining Expert Search Systems with ExES. - Kiarash Golzadeh; Lukasz Golab; Jaroslaw Szlichta (ICDE, 2024)

RAGE Against the Machine: Retrieval-Augmented LLM Explanations. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2024)

Towards Explainability in Retrieval-Augmented LLMs. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2024)

CAMO: Explaining Consensus Across MOdels. - Andy Yu; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2024)

Exploring the Space of Model Comparisons. - Andy Yu; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2024)

Explaining Expert Search and Team Formation Systems with ExES. - Kiarash Golzadeh; Lukasz Golab; Jaroslaw Szlichta (CoRR, 2024)

A Variational Neural Architecture for Skill-based Team Formation. - Radin Hamidi Rad; Hossein Fani 001; Ebrahim Bagheri; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (ACM Trans. Inf. Syst., 2024)

Db2une: Tuning Under Pressure via Deep Learning. - Alexander Bianchi; Andrew Chai; Vincent Corvinelli; Parke Godfrey; Jarek Szlichta; Calisto Zuzarte (Proc. VLDB Endow., 2024)

Discovering approximate implicit domain orders through order dependencies. - Reza Karegar; Melicaalsadat Mirsafian; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (VLDB J., 2024)

REACT: REcourse Analysis with Counterfactuals and Explanation Tables. - Anastasiia Avksientieva; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jarek Szlichta (EDBT, 2025)

LADYBUG: an LLM Agent DeBUGger for data-driven applications. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jarek Szlichta (EDBT, 2025)

AprèsCoT: Explaining LLM Answers with Knowledge Graphs and Chain of Thought. - Moein Shirdel; Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jarek Szlichta (EDBT, 2025)