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ORCIDUdayan Khurana
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Books and Theses
- 2015
[b1]Udayan Khurana:
Historical Graph Data Management. University of Maryland, College Park, MD, USA, 2015
Journal Articles
- 2023
- [j5]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16(12): 4090-4093 (2023) - [j4]Sahil Suneja
, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana:
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 32(6): 145:1-145:40 (2023) - 2022
- [j3]Sainyam Galhotra, Udayan Khurana:
Automated Relational Data Explanation using External Semantic Knowledge. Proc. VLDB Endow. 15(12): 3562-3565 (2022) - 2016
- [j2]Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga:
Graph-based Exploration of Non-graph Datasets. Proc. VLDB Endow. 9(13): 1557-1560 (2016) - 2015
- [j1]Konstantinos Xirogiannopoulos, Udayan Khurana, Amol Deshpande:
GraphGen: Exploring Interesting Graphs in Relational Data. Proc. VLDB Endow. 8(12): 2032-2035 (2015)
Conference and Workshop Papers
- 2024
- [c26]Qian Zhu, Dakuo Wang, Shuai Ma, April Yi Wang, Zixin Chen, Udayan Khurana, Xiaojuan Ma:
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. Conference on Designing Interactive Systems 2024 - 2023
- [c25]Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. CIKM 2023: 5096-5100 - [c24]Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs. EKG-LLM@CIKM 2023 - [c23]Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana:
Code Vulnerability Detection via Signal-Aware Learning. EuroS&P 2023: 506-523 - [c22]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI 2023: 7106-7109 - 2022
- [c21]Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini:
Semantic Feature Discovery with Code Mining and Semantic Type Detection. AAAI 2022: 13224-13226 - 2021
- [c20]Udayan Khurana, Sainyam Galhotra:
Semantic Concept Annotation for Tabular Data. CIKM 2021: 844-853 - [c19]Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz:
Automated Data Science for Relational Data. ICDE 2021: 2689-2692 - 2020
- [c18]Udayan Khurana, Horst Samulowitz:
Autonomous Predictive Modeling via Reinforcement Learning. CIKM 2020: 3285-3288 - [c17]Sainyam Galhotra, Udayan Khurana:
Semantic Search over Structured Data. CIKM 2020: 3381-3384 - [c16]Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray:
Survey on Automated End-to-End Data Science? IJCNN 2020: 1-9 - [c15]Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan:
IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. DaSH@KDD 2020 - 2019
- [c14]Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi:
Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops 2019: 1094-1097 - 2018
- [c13]Udayan Khurana, Horst Samulowitz, Deepak S. Turaga:
Feature Engineering for Predictive Modeling Using Reinforcement Learning. AAAI 2018: 3407-3414 - [c12]Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga:
Dataset Evolver: An Interactive Feature Engineering Notebook. AAAI 2018: 8212-8213 - 2017
- [c11]Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga:
Learning Feature Engineering for Classification. IJCAI 2017: 2529-2535 - 2016
- [c10]Udayan Khurana, Amol Deshpande:
Storing and Analyzing Historical Graph Data at Scale. EDBT 2016: 65-76 - [c9]Udayan Khurana, Deepak S. Turaga, Horst Samulowitz, Srinivasan Parthasrathy:
Cognito: Automated Feature Engineering for Supervised Learning. ICDM Workshops 2016: 1304-1307 - 2014
- [c8]Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga:
READ: Rapid data Exploration, Analysis and Discovery. EDBT 2014: 612-615 - [c7]Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga:
FAQ: A Framework for Fast Approximate Query Processing on Temporal Data. BigMine 2014: 29-45 - 2013
- [c6]Udayan Khurana, Amol Deshpande:
Efficient snapshot retrieval over historical graph data. ICDE 2013: 997-1008 - [c5]Udayan Khurana, Amol Deshpande:
HiNGE: enabling temporal network analytics at scale. SIGMOD Conference 2013: 1089-1092 - 2011
- [c4]Puneet Sharma, Udayan Khurana, Ben Shneiderman, Max Scharrenbroich, John Locke:
Speeding Up Network Layout and Centrality Measures for Social Computing Goals. SBP 2011: 244-251 - [c3]Udayan Khurana, Viet-An Nguyen, Hsueh-Chien Cheng, Jae-wook Ahn, Xi Stephen Chen, Ben Shneiderman:
Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines. SocialCom/PASSAT 2011: 549-554 - 2008
- [c2]Tanuja Joshi, Joseph Joy, Tobias Kellner, Udayan Khurana, A. Kumaran, Vibhuti S. Sengar:
Crosslingual location search. SIGIR 2008: 211-218 - 2005
- [c1]Udayan Khurana, Anirudh Koul:
Using Patterns to Generate Prime Numbers. ICAPR (1) 2005: 325-334
Reference Works
- 2019
- [r1]Udayan Khurana, Amol Deshpande:
Historical Graph Management. Encyclopedia of Big Data Technologies 2019
Informal and Other Publications
- 2024
- [i11]Qian Zhu, Dakuo Wang, Shuai Ma, April Yi Wang, Zixin Chen, Udayan Khurana, Xiaojuan Ma:
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. CoRR abs/2405.14107 (2024) - 2023
- [i10]Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz:
A Vision for Semantically Enriched Data Science. CoRR abs/2303.01378 (2023) - 2022
- [i9]Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
A Survey on Semantics in Automated Data Science. CoRR abs/2205.08018 (2022) - 2021
- [i8]Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini:
How Much Automation Does a Data Scientist Want? CoRR abs/2101.03970 (2021) - 2020
- [i7]Udayan Khurana, Sainyam Galhotra:
Semantic Annotation for Tabular Data. CoRR abs/2012.08594 (2020) - 2019
- [i6]Udayan Khurana, Horst Samulowitz:
Automating Predictive Modeling Process using Reinforcement Learning. CoRR abs/1903.00743 (2019) - [i5]Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray:
How can AI Automate End-to-End Data Science? CoRR abs/1910.14436 (2019) - 2017
- [i4]Udayan Khurana, Horst Samulowitz, Deepak S. Turaga:
Feature Engineering for Predictive Modeling using Reinforcement Learning. CoRR abs/1709.07150 (2017) - 2015
- [i3]Udayan Khurana, Amol Deshpande:
Storing and Analyzing Historical Graph Data at Scale. CoRR abs/1509.08960 (2015) - 2012
- [i2]Udayan Khurana, Amol Deshpande:
Efficient Snapshot Retrieval over Historical Graph Data. CoRR abs/1207.5777 (2012) - 2005
- [i1]Udayan Khurana, Anirudh Koul:
Text Compression and Superfast Searching. CoRR abs/cs/0505056 (2005)
Coauthor Index
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