Lukasz Golab

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 118

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta
Explaining Expert Search Systems with ExES. ICDE (2024)
Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Discovering approximate implicit domain orders through order dependencies. VLDB J. 33 (5) (2024)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. CoRR (2024)
Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
CAMO: Explaining Consensus Across MOdels. ICDE (2024)
Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta
Explaining Expert Search and Team Formation Systems with ExES. CoRR (2024)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
Towards Explainability in Retrieval-Augmented LLMs. ICDE (2024)
Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
Exploring the Space of Model Comparisons. ICDE (2024)
Armin Esmaeilzadeh, Joel Rorseth, Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Kazem Taghva
On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. GUIDE-AI@SIGMOD (2024)
Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. AAAI (2024)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. ICDE (2024)
Shadi Ghasemitaheri, Amelia Holcomb, Lukasz Golab, Srinivasan Keshav
On the Data Quality of Remotely Sensed Forest Maps. VLDB Workshops (2023)
Armin Esmaeilzadeh, Lukasz Golab, Kazem Taghva
InfoMoD: Information-theoretic Model Diagnostics. SSDBM (2023)
Liam Hebert, Gaurav Sahu, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. CoRR (2023)
Liam Hebert, Lukasz Golab, Robin Cohen
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. CoRR (2023)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
CREDENCE: Counterfactual Explanations for Document Ranking. CoRR (2023)
Harsimrat Singh Bhundar, Lukasz Golab, Srinivasan Keshav
Using EV charging control to provide building load flexibility. Energy Inform. 6 (1) (2023)
Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
EAGER: Explainable Question Answering Using Knowledge Graphs. GRADES-NDA@SIGMOD (2023)
Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas
Real-Time LSM-Trees for HTAP Workloads. ICDE (2023)
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
POEM: Pattern-Oriented Explanations of Convolutional Neural Networks. Proc. VLDB Endow. 16 (11) (2023)
Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content. CoRR (2023)
Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
iORDER: Mining Implicit Domain Orders. ICDE (2023)
Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen
FedFormer: Contextual Federation with Attention in Reinforcement Learning. AAMAS (2023)
Harsimrat Singh Bhundar, Lukasz Golab, Srinivasan Keshav
Correction: Using EV charging control to provide building load flexibility. Energy Inform. 6 (1) (2023)
Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
CREDENCE: Counterfactual Explanations for Document Ranking. ICDE (2023)
Liam Hebert, Lukasz Golab, Robin Cohen
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. WI/IAT (2022)
Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran
Contextual Data Cleaning with Ontology Functional Dependencies. ACM J. Data Inf. Qual. 14 (3) (2022)
Mohammad Dehghan, Dhruv Kumar, Lukasz Golab
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. ACL (Findings) (2022)
Mohammad Dehghan, Dhruv Kumar, Lukasz Golab
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. CoRR (2022)
Alexander Artikis, Nesime Tatbul, Lukasz Golab, Mohammad Sadoghi
Editorial. Inf. Syst. 109 (2022)
Shivangi Chopra, Lukasz Golab
Gender Differences in Early Career Performance Reviews: a Text Mining Study. EDBT/ICDT Workshops (2022)
Mohammad S. Parsa, Haoqi Shi, Yihao Xu, Aaron Yim, Yaolun Yin, Lukasz Golab
Analyzing Climate Change Discussions on Reddit. CSCI (2022)
Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen
FedFormer: Contextual Federation with Attention in Reinforcement Learning. CoRR (2022)
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
Exploring data using patterns: A survey. Inf. Syst. 108 (2022)
Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
Fine-Tuning Dependencies with Parameters. EDBT (2022)
Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Discovering Domain Orders via Order Dependencies. ICDE (2022)
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
POEM: Pattern-Oriented Explanations of CNN Models. Proc. VLDB Endow. 15 (12) (2022)
Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
Effective Keyword Search Over Weighted Graphs. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Mohammad S. Parsa, Lukasz Golab, Srinivasan Keshav
Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study. CoRR (2021)
Lukasz Golab, Divesh Srivastava
Exploring Data Using Pa erns: A Survey and Open Problems. DOLAP (2021)
Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Efficient Discovery of Approximate Order Dependencies. EDBT (2021)
Shivangi Chopra, Lukasz Golab
Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements. EDM (2021)
Aritra Mitra, Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
TimeFabric: Trusted Time for Permissioned Blockchains. FAB (2021)
John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat
RW-Team: Robust Team Formation using Random Walk. CIKM (2021)
Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta
Discovery and Contextual Data Cleaning with Ontology Functional Dependencies. CoRR (2021)
Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Efficient Discovery of Approximate Order Dependencies. CoRR (2021)
Mohammad S. Parsa, Lukasz Golab
Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study. EDM (2021)
Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
Effective Keyword Search in Weighted Graphs (Extended Abstract). ICDE (2021)
Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas
Real-Time LSM-Trees for HTAP Workloads. CoRR (2021)
Abeer Khan, Lukasz Golab
Reddit Mining to Understand Gendered Movements. EDBT/ICDT Workshops (2020)
Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Discovering Domain Orders through Order Dependencies. CoRR (2020)
Spencer Bryson, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat
Robust keyword search in large attributed graphs. Inf. Retr. J. 23 (5) (2020)
Mohammad S. Parsa, Lukasz Golab
Social Media Mining to Understand the Impact of Co-operative Education on Mental Health. EDM (2020)
Syed Saad Naseem, Dhruv Kumar, Mohammad S. Parsa, Lukasz Golab
Text Mining of COVID-19 Discussions on Reddit. WI/IAT (2020)
Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang
Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection. Canadian Conference on AI (2020)
Abeer Khan, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, Morteza Zihayat
Compact group discovery in attributed graphs and social networks. Inf. Process. Manag. 57 (2) (2020)
Xiao Meng, Lukasz Golab
Parallel Scheduling of Data-Intensive Tasks. Euro-Par (2020)
Allison Jacobs, Shivangi Chopra, Lukasz Golab
Reddit Mining to Understand Women's Issues in STEM. EDBT/ICDT Workshops (2020)
Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav
FastFabric: Scaling hyperledger fabric to 20 000 transactions per second. Int. J. Netw. Manag. 30 (5) (2020)
Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova
Iterative Edit-Based Unsupervised Sentence Simplification. ACL (2020)
Liuyan Chen, Lukasz Golab
Micro-journal mining to understand mood triggers. Computing 102 (5) (2020)
Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova
Iterative Edit-Based Unsupervised Sentence Simplification. CoRR (2020)
Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava
Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019). EDBT (2020)
Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav
Consentio: Managing Consent to Data Access using Permissioned Blockchains. IEEE ICBC (2020)
Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
XOX Fabric: A hybrid approach to blockchain transaction execution. IEEE ICBC (2020)
Hemant Saxena, Lukasz Golab, Ihab F. Ilyas
Distributed Discovery of Functional Dependencies. ICDE (2019)
Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab
Gender Differences in Science and Engineering: A Data Mining Approach. EDBT/ICDT Workshops (2019)
Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
XOX Fabric: A hybrid approach to transaction execution. CoRR (2019)
Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
Mitigating Trust Issues in Electric Vehicle Charging using a Blockchain. e-Energy (2019)
Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav
Consentio: Managing Consent to Data Access using Permissioned Blockchains. CoRR (2019)
Hemant Saxena, Lukasz Golab, Ihab F. Ilyas
Distributed Implementations of Dependency Discovery Algorithms. Proc. VLDB Endow. 12 (11) (2019)
Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab
Gender Differences in Work-Integrated Learning Assessments. EDM (2019)
Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav
FastFabric: Scaling Hyperledger Fabric to 20, 000 Transactions per Second. CoRR (2019)
Dhruv Kumar, Robin Cohen, Lukasz Golab
Online abuse detection: the value of preprocessing and neural attention models. WASSA@NAACL-HLT (2019)
Hemant Saxena, Lukasz Golab, Ihab F. Ilyas
Distributed Dependency Discovery. CoRR (2019)
Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Errata Note: Discovering Order Dependencies through Order Compatibility. CoRR (2019)
Heidar Davoudi, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
Bring Order to Data. AMW (2019)
Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava
Informative Summarization of Numeric Data. SSDBM (2019)
Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav
FastFabric: Scaling Hyperledger Fabric to 20, 000 Transactions per Second. IEEE ICBC (2019)
Zheng Zheng, Morteza Alipour, Zhi Qu, Ian Currie, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta
FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies. EDBT (2018)
Kareem El Gebaly, Guoyao Feng, Lukasz Golab, Flip Korn, Divesh Srivastava
Explanation Tables. IEEE Data Eng. Bull. 41 (3) (2018)
Morteza Alipour Langouri, Zheng Zheng, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta
Contextual Data Cleaning. ICDE Workshops (2018)
Guoming Tang, Srinivasan Keshav, Lukasz Golab, Kui Wu
Bikeshare Pool Sizing for Bike-and-Ride Multimodal Transit. IEEE Trans. Intell. Transp. Syst. 19 (7) (2018)
Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava
Effective and complete discovery of bidirectional order dependencies via set-based axioms. VLDB J. 27 (4) (2018)
Libo Gao, Lukasz Golab, M. Tamer Özsu, Günes Aluç
Stream WatDiv: A Streaming RDF Benchmark. SBD@SIGMOD (2018)
Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta
Effective Team Formation in Expert Networks. AMW (2018)
Shivangi Chopra, Yuheng Helen Jiang, Andrew Toulis, Lukasz Golab
Data Analytics to Improve Co-Operative Education. EDBT/ICDT Workshops (2018)
Shivangi Chopra, Lukasz Golab
Job Description Mining to Understand Work-Integrated Learning. EDM (2018)
Alexandar Mihaylov, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
FASTOD: Bringing Order to Data. ICDE (2018)
Shivangi Chopra, Hannah Gautreau, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab
Gender Differences in Undergraduate Engineering Applicants: A Text Mining Approach. EDM (2018)
Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
Managing Sensor Data Streams: Lessons Learned from the WeBike Project. SSDBM (2017)
Guoyao Feng, Lukasz Golab, Divesh Srivastava
Scalable Informative Rule Mining. ICDE (2017)
Simon Dominik Fink, Lukasz Golab, Srinivasan Keshav, Hermann de Meer
How Similar is the Usage of Electric Cars and Electric Bicycles? e-Energy (2017)
Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava
Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization. Proc. VLDB Endow. 10 (7) (2017)
Ziawasch Abedjan, Lukasz Golab, Felix Naumann
Data Profiling: A Tutorial. SIGMOD Conference (2017)
Andrew Toulis, Lukasz Golab
Graph Mining to Characterize Competition for Employment. NDA@SIGMOD (2017)
Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta
Authority-based Team Discovery in Social Networks. EDBT (2017)
Xiao Meng, Lukasz Golab
Optimal reducer placement to minimize data transfer in MapReduce-style processing. IEEE BigData (2017)
Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas, Shichao Jin
Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking. ACM Trans. Database Syst. 42 (1) (2017)
Sridevi Baskaran, Alexander Keller, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta
Efficient Discovery of Ontology Functional Dependencies. CIKM (2017)
Yuke Yang, Lukasz Golab, M. Tamer Özsu
ViewDF: Declarative incremental view maintenance for streaming data. Inf. Syst. 71 (2017)

Lukasz Golab.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lukasz Golab