SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. - Manasi Vartak; Sajjadur Rahman; Samuel Madden 001; Aditya G. Parameswaran; Neoklis Polyzotis (Proc. VLDB Endow., 2015)

I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making. - Sajjadur Rahman; Maryam Aliakbarpour; Hidy Kong; Eric Blais; Karrie Karahalios; Aditya G. Parameswaran; Ronitt Rubinfeld (Proc. VLDB Endow., 2017)

Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. - Mangesh Bendre; Tana Wattanawaroon; Sajjadur Rahman; Kelly Mack; Yuyang Liu; Shichu Zhu; Yu Lu; Ping-Jing Yang; Xinyan Zhou; Kevin Chen-Chuan Chang; Karrie Karahalios; Aditya G. Parameswaran (ICDE, 2019)

Benchmarking Spreadsheet Systems. - Sajjadur Rahman; Kelly Mack; Mangesh Bendre; Ruilin Zhang; Karrie Karahalios; Aditya G. Parameswaran (SIGMOD Conference, 2020)

MixTAPE: Mixed-initiative Team Action Plan Creation Through Semi-structured Notes, Automatic Task Generation, and Task Classification. - Sajjadur Rahman; Pao Siangliulue; Adam Marcus 002 (Proc. ACM Hum. Comput. Interact., 2020)

Intuitive, interactive, and scalable multi-resolution interfaces for accelerating data exploration - Sajjadur Rahman (2020)

Leam: An Interactive System for In-situ Visual Text Analysis. - Sajjadur Rahman; Peter Griggs; Çagatay Demiralp (CIDR, 2021)

NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. - Sajjadur Rahman; Mangesh Bendre; Yuyang Liu; Shichu Zhu; Zhaoyuan Su; Karrie Karahalios; Aditya G. Parameswaran (Proc. VLDB Endow., 2021)

Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective. - Sajjadur Rahman; Eser Kandogan (CHI, 2022)

Low-resource Interactive Active Labeling for Fine-tuning Language Models. - Seiji Maekawa; Dan Zhang 025; Hannah Kim 001; Sajjadur Rahman; Estevam Hruschka (EMNLP (Findings), 2022)

Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. - Yutong Shao; Nikita Bhutani; Sajjadur Rahman; Estevam Hruschka (NAACL-HLT (Findings), 2022)

Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. - Frederick Choi; Sajjadur Rahman; Hannah Kim 001; Dan Zhang 025 (CHI Extended Abstracts, 2023)

Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. - Nahyun Kwon; Hannah Kim 001; Sajjadur Rahman; Dan Zhang 025; Estevam Hruschka (WWW (Companion Volume), 2023)

Towards Multifaceted Human-Centered AI. - Sajjadur Rahman; Hannah Kim 001; Dan Zhang 025; Estevam Hruschka; Eser Kandogan (CoRR, 2023)

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. - Aditi Mishra; Sajjadur Rahman; Kushan Mitra; Hannah Kim 001; Estevam Hruschka (ACL (Findings), 2024)

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. - Xinru Wang; Hannah Kim 001; Sajjadur Rahman; Kushan Mitra; Zhengjie Miao (CHI, 2024)

Demonstration of a Multi-agent Framework for Text to SQL Applications with Large Language Models. - Chen Shen 009; Jin Wang 007; Sajjadur Rahman; Eser Kandogan (CIKM, 2024)

MEGAnno+: A Human-LLM Collaborative Annotation System. - Hannah Kim 001; Kushan Mitra; Rafael Li Chen; Sajjadur Rahman; Dan Zhang 025 (EACL (Demonstrations), 2024)

CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. - Yanlin Feng; Sajjadur Rahman; Aaron Feng; Vincent Chen; Eser Kandogan (GUIDE-AI@SIGMOD, 2024)

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. - Pouya Pezeshkpour; Eser Kandogan; Nikita Bhutani; Sajjadur Rahman; Tom M. Mitchell; Estevam Hruschka (CoRR, 2024)

Knowledge Acquisition and Integration with Expert-in-the-loop. - Sajjadur Rahman; Frederick Choi; Hannah Kim 001; Dan Zhang 025; Estevam Hruschka (CoRR, 2024)

A Blueprint Architecture of Compound AI Systems for Enterprise. - Eser Kandogan; Sajjadur Rahman; Nikita Bhutani; Dan Zhang 025; Rafael Li Chen; Kushan Mitra; Sairam Gurajada; Pouya Pezeshkpour; Hayate Iso; Yanlin Feng; Hannah Kim 001; Chen Shen 009; et al. (CoRR, 2024)

Retrieval Augmented Generation in the Wild: A System 2 Perspective. - Sajjadur Rahman; Dan Zhang 025; Nikita Bhutani; Estevam Hruschka; Eser Kandogan (IEEE Data Eng. Bull., 2024)

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era. - Yanlin Feng; Simone Papicchio; Sajjadur Rahman (ACL (1), 2025)

FactLens: Benchmarking Fine-Grained Fact Verification. - Kushan Mitra; Dan Zhang 025; Sajjadur Rahman; Estevam Hruschka (ACL (Findings), 2025)

MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models. - Chen Shen 009; Jin Wang 007; Sajjadur Rahman; Eser Kandogan (CoRR, 2025)

Towards Operationalizing Heterogeneous Data Discovery. - Jin Wang 007; Yanlin Feng; Chen Shen 009; Sajjadur Rahman; Eser Kandogan (CoRR, 2025)

LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes. - Yihao Hu 001; Jin Wang 007; Sajjadur Rahman (CoRR, 2025)

Effectiveness of Prompt Optimization in NL2SQL Systems. - Sairam Gurajada; Eser Kandogan; Sajjadur Rahman (CoRR, 2025)

Towards Probabilistic Question Answering Over Tabular Data. - Chen Shen 009; Sajjadur Rahman; Estevam Hruschka (CoRR, 2025)