FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. - Tarique Siddiqui; Xiang Ren 001; Aditya G. Parameswaran; Jiawei Han 001 (CIKM, 2016)

Speedy Browsing and Sampling with NeedleTail. - Albert Kim; Liqi Xu; Tarique Siddiqui; Silu Huang; Samuel Madden 001; Aditya G. Parameswaran (CoRR, 2016)

zenvisage: Effortless Visual Data Exploration. - Tarique Siddiqui; Albert Kim; John Lee 005; Karrie Karahalios; Aditya G. Parameswaran (CoRR, 2016)

Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System. - Tarique Siddiqui; Albert Kim; John Lee 005; Karrie Karahalios; Aditya G. Parameswaran (Proc. VLDB Endow., 2016)

Towards Visualization Recommendation Systems. - Manasi Vartak; Silu Huang; Tarique Siddiqui; Samuel Madden 001; Aditya G. Parameswaran (SIGMOD Rec., 2016)

Fast-Forwarding to Desired Visualizations with Zenvisage. - Tarique Siddiqui; John Lee 005; Albert Kim; Edward Xue; Xiaofo Yu; Sean Zou; Lijin Guo; Changfeng Liu; Chaoran Wang; Karrie Karahalios; Aditya G. Parameswaran (CIDR, 2017)

Accelerating Scientific Data Exploration via Visual Query Systems. - Doris Jung Lin Lee; John Lee 005; Tarique Siddiqui; Jaewoo Kim; Karrie Karahalios; Aditya G. Parameswaran (CoRR, 2017)

Optimally Leveraging Density and Locality for Exploratory Browsing and Sampling. - Albert Kim; Liqi Xu; Tarique Siddiqui; Silu Huang; Samuel Madden 001; Aditya G. Parameswaran (HILDA@SIGMOD, 2018)

ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations. - Tarique Siddiqui; Paul Luh; Zesheng Wang 001; Karrie Karahalios; Aditya G. Parameswaran (Proc. VLDB Endow., 2018)

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. - Tarique Siddiqui; Alekh Jindal; Shi Qiao 001; Hiren Patel; Wangchao Le (SIGMOD Conference, 2020)

ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. - Tarique Siddiqui; Paul Luh; Zesheng Wang 001; Karrie Karahalios; Aditya G. Parameswaran (SIGMOD Conference, 2020)

Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying. - Doris Jung Lin Lee; Tarique Siddiqui; Karrie Karahalios; Aditya G. Parameswaran (Patterns, 2020)

You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems. - Doris Jung Lin Lee; John Lee 005; Tarique Siddiqui; Jaewoo Kim; Karrie Karahalios; Aditya G. Parameswaran (IEEE Trans. Vis. Comput. Graph., 2020)

Towards expressive and scalable visual data exploration - Tarique Siddiqui (2020)

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. - Tarique Siddiqui; Surajit Chaudhuri; Vivek R. Narasayya (Proc. VLDB Endow., 2021)

From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight. - Tarique Siddiqui; Paul Luh; Zesheng Wang 001; Karrie Karahalios; Aditya G. Parameswaran (SIGMOD Rec., 2021)

Budget-aware Index Tuning with Reinforcement Learning. - Wentao Wu 001; Chi Wang 001; Tarique Siddiqui; Junxiong Wang; Vivek R. Narasayya; Surajit Chaudhuri; Philip A. Bernstein (SIGMOD Conference, 2022)

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. - Tarique Siddiqui; Saehan Jo; Wentao Wu 001; Chi Wang 001; Vivek R. Narasayya; Surajit Chaudhuri (SIGMOD Conference, 2022)

Expressive querying for accelerating visual analytics. - Tarique Siddiqui; Paul Luh; Zesheng Wang 001; Karrie Karahalios; Aditya G. Parameswaran (Commun. ACM, 2022)

DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. - Tarique Siddiqui; Wentao Wu 001; Vivek R. Narasayya; Surajit Chaudhuri (Proc. VLDB Endow., 2022)

Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets. - Tarique Siddiqui; Vivek R. Narasayya; Marius Dumitru; Surajit Chaudhuri (Proc. VLDB Endow., 2023)

ML-Powered Index Tuning: An Overview of Recent Progress and Open Challenges. - Tarique Siddiqui; Wentao Wu 001 (SIGMOD Rec., 2023)

Wred: Workload Reduction for Scalable Index Tuning. - Matteo Brucato; Tarique Siddiqui; Wentao Wu 001; Vivek R. Narasayya; Surajit Chaudhuri (Proc. ACM Manag. Data, 2024)

Sibyl: Forecasting Time-Evolving Query Workloads. - Hanxian Huang; Tarique Siddiqui; Rana Alotaibi; Carlo Curino; Jyoti Leeka; Alekh Jindal; Jishen Zhao; Jesús Camacho-Rodríguez; Yuanyuan Tian 001 (Proc. ACM Manag. Data, 2024)

QURE: AI-Assisted and Automatically Verified UDF Inlining. - Tarique Siddiqui; Arnd Christian König; Jiashen Cao; Cong Yan; Shuvendu K. Lahiri (Proc. ACM Manag. Data, 2025)