Social Media Analytics: The Kosmix Story. - Xiaoyong Chai; Omkar Deshpande; Nikesh Garera; Rohit Kumar 006; Wang Lam; Digvijay S. Lamba; Lu Liu; Mitul Tiwari; Michel Tourn; Zoheb Vacheri; STS Prasad; Sri Subramaniam; et al. (IEEE Data Eng. Bull., 2013)

Why Big Data Industrial Systems Need Rules and What We Can Do About It. - Paul Suganthan G. C.; Chong Sun; Krishna Gayatri K.; Haojun Zhang; Frank Yang; Narasimhan Rampalli; Shishir Prasad; Esteban Arcaute; Ganesh Krishnan; Rohit Deep; Vijay Raghavendra; AnHai Doan (SIGMOD Conference, 2015)

Magellan: Toward Building Entity Matching Management Systems. - Pradap Konda; Sanjib Das; Paul Suganthan G. C.; AnHai Doan; Adel Ardalan; Jeffrey R. Ballard; Han Li; Fatemah Panahi; Haojun Zhang; Jeffrey F. Naughton; Shishir Prasad; Ganesh Krishnan; et al. (Proc. VLDB Endow., 2016)

Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks. - Pradap Konda; Sanjib Das; Paul Suganthan G. C.; AnHai Doan; Adel Ardalan; Jeffrey R. Ballard; Han Li; Fatemah Panahi; Haojun Zhang; Jeffrey F. Naughton; Shishir Prasad; Ganesh Krishnan; et al. (Proc. VLDB Endow., 2016)

Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services. - Sanjib Das; Paul Suganthan G. C.; AnHai Doan; Jeffrey F. Naughton; Ganesh Krishnan; Rohit Deep; Esteban Arcaute; Vijay Raghavendra; Youngchoon Park (SIGMOD Conference, 2017)

Human-in-the-Loop Challenges for Entity Matching: A Midterm Report. - AnHai Doan; Adel Ardalan; Jeffrey R. Ballard; Sanjib Das; Yash Govind; Pradap Konda; Han Li; Sidharth Mudgal; Erik Paulson 001; Paul Suganthan G. C.; Haojun Zhang (HILDA@SIGMOD, 2017)

Toward a System Building Agenda for Data Integration. - AnHai Doan; Adel Ardalan; Jeffrey R. Ballard; Sanjib Das; Yash Govind; Pradap Konda; Han Li; Erik Paulson 001; Paul Suganthan G. C.; Haojun Zhang (CoRR, 2017)

MatchCatcher: A Debugger for Blocking in Entity Matching. - Han Li; Pradap Konda; Paul Suganthan G. C.; AnHai Doan; Benjamin Snyder; Youngchoon Park; Ganesh Krishnan; Rohit Deep; Vijay Raghavendra (EDBT, 2018)

Toward a System Building Agenda for Data Integration (and Data Science). - AnHai Doan; Pradap Konda; Paul Suganthan G. C.; Adel Ardalan; Jeffrey R. Ballard; Sanjib Das; Yash Govind; Han Li; Philip Martinkus; Sidharth Mudgal; Erik Paulson 001; Haojun Zhang (IEEE Data Eng. Bull., 2018)

Smurf: Self-Service String Matching Using Random Forests. - Paul Suganthan G. C.; Adel Ardalan; AnHai Doan; Aditya Akella (Proc. VLDB Endow., 2018)

CloudMatcher: A Hands-Off Cloud/Crowd Service for Entity Matching. - Yash Govind; Erik Paulson 001; Palaniappan Nagarajan; Paul Suganthan G. C.; AnHai Doan; Youngchoon Park; Glenn Fung; Devin Conathan; Marshall Carter; Mingju Sun (Proc. VLDB Endow., 2018)

Technical Perspective: : Toward Building Entity Matching Management Systems. - Pradap Konda; Sanjib Das; Paul Suganthan G. C.; Philip Martinkus; Adel Ardalan; Jeffrey R. Ballard; Yash Govind; Han Li; Fatemah Panahi; Haojun Zhang; Jeffrey F. Naughton; Shishir Prasad; et al. (SIGMOD Rec., 2018)

Entity Matching Meets Data Science: A Progress Report from the Magellan Project. - Yash Govind; Pradap Konda; Paul Suganthan G. C.; Philip Martinkus; Palaniappan Nagarajan; Han Li; Aravind Soundararajan; Sidharth Mudgal; Jeffrey R. Ballard; Haojun Zhang; Adel Ardalan; Sanjib Das; et al. (SIGMOD Conference, 2019)

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines. - Emily Caveness; Paul Suganthan G. C.; Zhuo Peng; Neoklis Polyzotis; Sudip Roy 002; Martin Zinkevich (SIGMOD Conference, 2020)

From Data to Models and Back. - Mike Dreves; Gene Huang; Zhuo Peng; Neoklis Polyzotis; Evan Rosen; Paul Suganthan G. C. (DEEM@SIGMOD, 2020)

Magellan: toward building ecosystems of entity matching solutions. - AnHai Doan; Pradap Konda; Paul Suganthan G. C.; Yash Govind; Derek Paulsen; Kaushik Chandrasekhar; Philip Martinkus; Matthew Christie (Commun. ACM, 2020)

Validating Data and Models in Continuous ML Pipelines. - Mike Dreves; Gene Huang; Zhuo Peng; Neoklis Polyzotis; Evan Rosen; Paul Suganthan G. C. (IEEE Data Eng. Bull., 2021)

AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis. - Zifan Liu; Evan Rosen; Paul Suganthan G. C. (CoRR, 2022)

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. - Junru Wu; Le Yan; Zhen Qin 001; Honglei Zhuang; Paul Suganthan G. C.; Tianqi Liu 002; Zhe Dong; Xuanhui Wang; Harrie Oosterhuis (CoRR, 2025)