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ORCIDJie Song 0013
Person information
- affiliation (PhD 2021): University of Michigan, Computer Science Engineering, MI, USA
Other persons with the same name
- Jie Song — disambiguation page
- Jie Song 0001
![[0000-0003-0704-3217]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0704-3217")
— Northeastern University, Software College, Shenyang, China - Jie Song 0002 — Peking University, Department of Industrial Engineering and Management, Beijing, China
- Jie Song 0003 — Harbin Institute of Technology, Department of Physics, Harbin, China (and 1 more)
- Jie Song 0004 — Agere Systems, Holmdel, NJ, USA (and 1 more)
- Jie Song 0005 — Nanyang Technological University, Singapore (and 1 more)
- Jie Song 0006 — ETH Zurich, Switzerland
- Jie Song 0007 — Capital University of Economics and Business, Beijing, China
- Jie Song 0008 — Technical University of Madrid, Spain
- Jie Song 0009 — University of Wisconsin-Madison, Department of Biomedical Engineering, USA
- Jie Song 0010 — Anhui University, Hefei, China
- Jie Song 0011 — Zhejiang University, College of Software Technology, Hangzhou, China
- Jie Song 0012 — KU Leuven, Department of Electrical Engineering, Belgium (and 2 more)
- Jie Song 0014 — Nanjing University of Posts and Telecommunications, Department of Artificial Intelligence, Jiangsu, China (and 2 more)
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2020 – today
- 2022
[j2]Jie Song, George Alter, H. V. Jagadish:
Structured data transformation algebra (SDTA) and its applications. Distributed Parallel Databases 40(2-3): 373-408 (2022)- 2021
- [b1]Jie Song:
Facilitating Location and Use of Socio-economic Data with Minimal User Intervention. University of Michigan, USA, 2021 - [j1]George Alter, Jack Gager, Pascal Heus, Carson Hunter, Sanda Ionescu, Jeremy Iverson, H. V. Jagadish, Jared Lyle, Alexander Mueller, Sigve Nordgaard, Ørnulf Risnes, Dan J. Smith, Jie Song:
Capturing Data Provenance from Statistical Software. Int. J. Digit. Curation 16(1): 14 (2021) - [c6]Jie Song, Yeye He:
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. SIGMOD Conference 2021: 1678-1691 - [c5]Jie Song, H. V. Jagadish, George Alter:
SDTA: An Algebra for Statistical Data Transformation. SSDBM 2021: 109-120 - [c4]George Alter, Jack Gager, Pascal Heus, Carson Hunter, Sanda Ionescu, Jeremy Iverson, H. V. Jagadish, Bertram Ludäscher, Jared Lyle, Timothy M. McPhillips, Alexander Mueller, Sigve Nordgaard, Ørnulf Risnes, Dan J. Smith, Jie Song, Thomas Thelen:
Detailed Provenance Metadata from Statistical Analysis Software: TaPP Applications Track. TaPP 2021 - [i2]Jie Song, Yeye He:
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. CoRR abs/2104.04659 (2021) - [i1]Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Anil, Blake Lassiter, Yaron Goland, Gaurav Malhotra:
Auto-Tag: Tagging-Data-By-Example in Data Lakes. CoRR abs/2112.06049 (2021)
2010 – 2019
- 2019
- [c3]Jie Song, George Alter, H. V. Jagadish:
C2Metadata: Automating the Capture of Data Transformations from Statistical Scripts in Data Documentation. SIGMOD Conference 2019: 2005-2008 - 2018
- [c2]Jie Song, Danai Koutra, Murali Mani, H. V. Jagadish:
GeoAlign: Interpolating Aggregates over Unaligned Partitions. EDBT 2018: 361-372 - [c1]Jie Song, Danai Koutra, Murali Mani, H. V. Jagadish:
GeoFlux: Hands-Off Data Integration Leveraging Join Key Knowledge. SIGMOD Conference 2018: 1797-1800
Coauthor Index
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