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2020 – today
- 2024
[j2]Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel:
ReAcTable: Enhancing ReAct for Table Question Answering. Proc. VLDB Endow. 17(8): 1981-1994 (2024)- [c7]Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino:
NL2SQL is a solved problem... Not! CIDR 2024 - 2023
- [i8]Anirudh Khatry
, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari:
From Words to Code: Harnessing Data for Program Synthesis from Natural Language. CoRR abs/2305.01598 (2023) - [i7]Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel:
ReAcTable: Enhancing ReAct for Table Question Answering. CoRR abs/2310.00815 (2023) - 2022
- [j1]Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos:
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51(2): 30-37 (2022) - [c6]Jordan Henkel, Goutham Ramakrishnan, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps:
Semantic Robustness of Models of Source Code. SANER 2022: 526-537 - 2021
- [c5]Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps:
Shipwright: A Human-in-the-Loop System for Dockerfile Repair. ICSE (Companion Volume) 2021: 198-199 - [c4]Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps:
Shipwright: A Human-in-the-Loop System for Dockerfile Repair. ICSE 2021: 1148-1160 - [d5]Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps:
ICSE'21 Artifact for the paper Shipwright: A Human-in-the-Loop System for Dockerfile Repair. Zenodo, 2021
- [i6]Jordan Henkel, Denini Silva, Leopoldo Teixeira, Marcelo d'Amorim, Thomas W. Reps:
Shipwright: A Human-in-the-Loop System for Dockerfile Repair. CoRR abs/2103.02591 (2021) - 2020
- [c3]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
Learning from, understanding, and supporting DevOps artifacts for docker. ICSE 2020: 38-49 - [c2]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
A Dataset of Dockerfiles. MSR 2020: 528-532 - [d4]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
ICSE 2020 Artifact for: Learning from, Understanding, and Supporting DevOps Artifacts for Docker. Zenodo, 2020 - [i5]Goutham Ramakrishnan, Jordan Henkel, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps:
Semantic Robustness of Models of Source Code. CoRR abs/2002.03043 (2020) - [i4]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
Learning from, Understanding, and Supporting DevOps Artifacts for Docker. CoRR abs/2002.03064 (2020) - [i3]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
A Dataset of Dockerfiles. CoRR abs/2003.12912 (2020)
2010 – 2019
- 2019
- [i2]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Enabling Open-World Specification Mining via Unsupervised Learning. CoRR abs/1904.12098 (2019) - 2018
- [c1]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Code vectors: understanding programs through embedded abstracted symbolic traces. ESEC/SIGSOFT FSE 2018: 163-174 - [d3]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. Zenodo, 2018 - [d2]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. Zenodo, 2018 - [d1]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. Zenodo, 2018 - [i1]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. CoRR abs/1803.06686 (2018)
Coauthor Index
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