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Zhongjun (Mark) Jin

University of Michigan

4 papers hereh-index 10498 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DB4
affiliations
  • University of Michigan
HomepageORCID 0000-0003-1833-8061

identity via Semantic Scholar / OpenAlex

most citedAssessing and Remedying Coverage for a Given Dataset

99 citations · 114 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DB2020★ 13 cited

Duoquest: A Dual-Specification System for Expressive SQL Queries

Christopher Baik, Zhongjun Jin, Michael Cafarella +1

Querying a relational database is difficult because it requires users to know both the SQL language and be familiar with the schema. On the other hand, many users possess enough do…

cs.DB2018

Demonstration of a Multiresolution Schema Mapping System

Zhongjun Jin, Christopher Baik, Michael Cafarella +2

Enterprise databases usually contain large and complex schemas. Authoring complete schema mapping queries in this case requires deep knowledge about the source and target schemas a…

cs.DB2018★ 99 cited

Assessing and Remedying Coverage for a Given Dataset

Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish

Data analysis impacts virtually every aspect of our society today. Often, this analysis is performed on an existing dataset, possibly collected through a process that the data scie…

cs.DB2018★ 2 cited

CLX: Towards verifiable PBE data transformation

Zhongjun Jin, Michael Cafarella, H. V. Jagadish +3

Effective data analytics on data collected from the real world usually begins with a notoriously expensive pre-processing step of data transformation and wrangling. Programming By…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.