Using Patterns to Generate Prime Numbers. - Udayan Khurana; Anirudh Koul (ICAPR (1), 2005)

Text Compression and Superfast Searching - Udayan Khurana; Anirudh Koul (CoRR, 2005)

Crosslingual location search. - Tanuja Joshi; Joseph Joy; Tobias Kellner; Udayan Khurana; A. Kumaran 001; Vibhuti S. Sengar (SIGIR, 2008)

Speeding Up Network Layout and Centrality Measures for Social Computing Goals. - Puneet Sharma; Udayan Khurana; Ben Shneiderman; Max Scharrenbroich; John Locke (SBP, 2011)

Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines. - Udayan Khurana; Viet-An Nguyen; Hsueh-Chien Cheng; Jae-wook Ahn; Xi Stephen Chen; Ben Shneiderman (SocialCom/PASSAT, 2011)

Efficient snapshot retrieval over historical graph data. - Udayan Khurana; Amol Deshpande (ICDE, 2013)

HiNGE: enabling temporal network analytics at scale. - Udayan Khurana; Amol Deshpande (SIGMOD Conference, 2013)

READ: Rapid data Exploration, Analysis and Discovery. - Udayan Khurana; Srinivasan Parthasarathy 002; Deepak S. Turaga (EDBT, 2014)

FAQ: A Framework for Fast Approximate Query Processing on Temporal Data. - Udayan Khurana; Srinivasan Parthasarathy 002; Deepak S. Turaga (BigMine, 2014)

GraphGen: Exploring Interesting Graphs in Relational Data. - Konstantinos Xirogiannopoulos; Udayan Khurana; Amol Deshpande (Proc. VLDB Endow., 2015)

Historical Graph Data Management. - Udayan Khurana (2015)

Storing and Analyzing Historical Graph Data at Scale. - Udayan Khurana; Amol Deshpande (EDBT, 2016)

Cognito: Automated Feature Engineering for Supervised Learning. - Udayan Khurana; Deepak S. Turaga; Horst Samulowitz; Srinivasan Parthasrathy (ICDM Workshops, 2016)

Graph-based Exploration of Non-graph Datasets. - Udayan Khurana; Srinivasan Parthasarathy 002; Deepak S. Turaga (Proc. VLDB Endow., 2016)

Learning Feature Engineering for Classification. - Fatemeh Nargesian; Horst Samulowitz; Udayan Khurana; Elias B. Khalil; Deepak S. Turaga (IJCAI, 2017)

Feature Engineering for Predictive Modeling Using Reinforcement Learning. - Udayan Khurana; Horst Samulowitz; Deepak S. Turaga (AAAI, 2018)

Dataset Evolver: An Interactive Feature Engineering Notebook. - Fatemeh Nargesian; Udayan Khurana; Tejaswini Pedapati; Horst Samulowitz; Deepak S. Turaga (AAAI, 2018)

Automated Feature Enhancement for Predictive Modeling using External Knowledge. - Sainyam Galhotra; Udayan Khurana; Oktie Hassanzadeh; Kavitha Srinivas; Horst Samulowitz; Miao Qi (ICDM Workshops, 2019)

Automating Predictive Modeling Process using Reinforcement Learning. - Udayan Khurana; Horst Samulowitz (CoRR, 2019)

How can AI Automate End-to-End Data Science? - Charu C. Aggarwal; Djallel Bouneffouf 001; Horst Samulowitz; Beat Buesser; Thanh Hoang; Udayan Khurana; Sijia Liu 001; Tejaswini Pedapati; Parikshit Ram; Ambrish Rawat; Martin Wistuba; Alexander G. Gray (CoRR, 2019)

Historical Graph Management. - Udayan Khurana; Amol Deshpande (Encyclopedia of Big Data Technologies, 2019)

Semantic Search over Structured Data. - Sainyam Galhotra; Udayan Khurana (CIKM, 2020)

Autonomous Predictive Modeling via Reinforcement Learning. - Udayan Khurana; Horst Samulowitz (CIKM, 2020)

Survey on Automated End-to-End Data Science? - Djallel Bouneffouf 001; Charu C. Aggarwal; Thanh Hoang; Udayan Khurana; Horst Samulowitz; Beat Buesser; Sijia Liu 001; Tejaswini Pedapati; Parikshit Ram; Ambrish Rawat; Martin Wistuba; Alexander G. Gray (IJCNN, 2020)

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. - Dakuo Wang; Josh Andres; Justin D. Weisz; Erick Oduor; Udayan Khurana; Horst Samulowitz; Arunima Chaudhary; Abel N. Valente; Dustin Ramsey Torres; Casey Dugan (DaSH@KDD, 2020)

Semantic Annotation for Tabular Data. - Udayan Khurana; Sainyam Galhotra (CoRR, 2020)

Semantic Concept Annotation for Tabular Data. - Udayan Khurana; Sainyam Galhotra (CIKM, 2021)

Automated Data Science for Relational Data. - Hoang Thanh Lam; Beat Buesser; Hong Min; Tran Ngoc Minh; Martin Wistuba; Udayan Khurana; Gregory Bramble; Theodoros Salonidis; Dakuo Wang; Horst Samulowitz (ICDE, 2021)

How Much Automation Does a Data Scientist Want? - Dakuo Wang; Q. Vera Liao; Yunfeng Zhang; Udayan Khurana; Horst Samulowitz; Soya Park; Michael J. Muller; Lisa Amini (CoRR, 2021)

Semantic Feature Discovery with Code Mining and Semantic Type Detection. - Kavitha Srinivas; Takaaki Tateishi; Daniel Karl I. Weidele; Udayan Khurana; Horst Samulowitz; Toshihiro Takahashi; Dakuo Wang; Lisa Amini (AAAI, 2022)

A Survey on Semantics in Automated Data Science. - Udayan Khurana; Kavitha Srinivas; Horst Samulowitz (CoRR, 2022)

Automated Relational Data Explanation using External Semantic Knowledge. - Sainyam Galhotra; Udayan Khurana (Proc. VLDB Endow., 2022)

NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. - Pranav Subramaniam; Udayan Khurana; Kavitha Srinivas; Horst Samulowitz (CIKM, 2023)

Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs. - Pranav Subramaniam; Udayan Khurana; Kavitha Srinivas; Horst Samulowitz (EKG-LLM@CIKM, 2023)

Code Vulnerability Detection via Signal-Aware Learning. - Sahil Suneja; Yufan Zhuang; Yunhui Zheng; Jim Laredo; Alessandro Morari; Udayan Khurana (EuroS&P, 2023)

SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. - Ibrahim Abdelaziz; Julian Dolby; Udayan Khurana; Horst Samulowitz; Kavitha Srinivas (IJCAI, 2023)

A Vision for Semantically Enriched Data Science. - Udayan Khurana; Kavitha Srinivas; Sainyam Galhotra; Horst Samulowitz (CoRR, 2023)

DataRinse: Semantic Transforms for Data preparation based on Code Mining. - Ibrahim Abdelaziz; Julian Dolby; Udayan Khurana; Horst Samulowitz; Kavitha Srinivas (Proc. VLDB Endow., 2023)

Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. - Sahil Suneja; Yufan Zhuang; Yunhui Zheng; Jim Laredo; Alessandro Morari; Udayan Khurana (ACM Trans. Softw. Eng. Methodol., 2023)

Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. - Qian Zhu 010; Dakuo Wang; Shuai Ma; April Yi Wang; Zixin Chen; Udayan Khurana; Xiaojuan Ma (Conference on Designing Interactive Systems, 2024)

Table Retrieval using LLMs and Semantic Table Similarity. - Udayan Khurana; Sahil Suneja; Horst Samulowitz (WWW (Companion Volume), 2025)