Udayan Khurana

Orcid: 0000-0001-8113-1210

According to our database1, Udayan Khurana authored at least 40 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design.
Proceedings of the Designing Interactive Systems Conference, 2024

2023
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol., November, 2023

DataRinse: Semantic Transforms for Data preparation based on Code Mining.
Proc. VLDB Endow., 2023

A Vision for Semantically Enriched Data Science.
CoRR, 2023

SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Code Vulnerability Detection via Signal-Aware Learning.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs.
Proceedings of the Workshop on Enterprise Knowledge Graphs using Large Language Models (EKG-LLM 2023) co-located with 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Automated Relational Data Explanation using External Semantic Knowledge.
Proc. VLDB Endow., 2022

A Survey on Semantics in Automated Data Science.
CoRR, 2022

Semantic Feature Discovery with Code Mining and Semantic Type Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
How Much Automation Does a Data Scientist Want?
CoRR, 2021

Automated Data Science for Relational Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Semantic Concept Annotation for Tabular Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Semantic Annotation for Tabular Data.
CoRR, 2020

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.
Proceedings of the 1st Workshop on Data Science with Human in the Loop, 2020

Survey on Automated End-to-End Data Science?
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Autonomous Predictive Modeling via Reinforcement Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Semantic Search over Structured Data.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Historical Graph Management.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

How can AI Automate End-to-End Data Science?
CoRR, 2019

Automating Predictive Modeling Process using Reinforcement Learning.
CoRR, 2019

Automated Feature Enhancement for Predictive Modeling using External Knowledge.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Dataset Evolver: An Interactive Feature Engineering Notebook.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Feature Engineering for Predictive Modeling Using Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning Feature Engineering for Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Graph-based Exploration of Non-graph Datasets.
Proc. VLDB Endow., 2016

Cognito: Automated Feature Engineering for Supervised Learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Storing and Analyzing Historical Graph Data at Scale.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
Historical Graph Data Management.
PhD thesis, 2015

GraphGen: Exploring Interesting Graphs in Relational Data.
Proc. VLDB Endow., 2015

2014
FAQ: A Framework for Fast Approximate Query Processing on Temporal Data.
Proceedings of the 3rd International Workshop on Big Data, 2014

READ: Rapid data Exploration, Analysis and Discovery.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
HiNGE: enabling temporal network analytics at scale.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Efficient snapshot retrieval over historical graph data.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2011
Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Speeding Up Network Layout and Centrality Measures for Social Computing Goals.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

2008
Crosslingual location search.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2005
Text Compression and Superfast Searching
CoRR, 2005

Using Patterns to Generate Prime Numbers.
Proceedings of the Pattern Recognition and Data Mining, 2005


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