个人简介
现就职于字节跳动/TikTok美国加州山景城。2020年5月美国密西根大学计算机科学与工程专业博士毕业。师从于Mike Cafarella教授和H. V. Jagadish教授。研究主要集中在运用人工智能，人机交互，自动程序生成等方法改进人机结合的大数据清理、整合、变型等数据可用性技术。2019年于微软研究院实习，导师为Yeye He。2017年在创业公司Trifacta暑期实习，导师为Sean Kandel，Mike Minar和Joe Hellerstein教授。本科毕业于美国普渡大学，获得计算机科学、数学双学位。此前曾就读于天津大学电子信息工程专业。
发表论文
- 2020
-
Democratizing Self-Service Data Preparation through Example-Guided Program Synthesis
Zhongjun Jin
Dissertation
[pdf] -
AutoTransform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chauduri
VLDB 2020
[pdf] -
Duoquest: A Dual-Specification System for Expressive SQL Queries
Christopher Baik, Zhongjun Jin, Michael Cafarella, H. V. Jagadish
SIGMOD 2020
[pdf] -
MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness
Zhongjun Jin, Mengjing Xu, Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish
SIGMOD 2020 Demo
[pdf] [video] -
Constructing Expressive Relational Queries with Dual-Specification Synthesis
Christopher Baik, Zhongjun Jin, Michael Cafarella, H. V. Jagadish
CIDR 2020
[pdf]
-
Democratizing Self-Service Data Preparation through Example-Guided Program Synthesis
- 2019
-
Disambiguating Queries in Conversational Interfaces
Christopher Baik, Zhongjun Jin, Michael Cafarella
CAST @ VLDB 2019
[pdf] -
Assessing and Remedying Coverage for a Given Dataset
Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish
ICDE 2019
[pdf] [video] -
CLX: Towards verifiable PBE data transformation
Zhongjun Jin, Michael Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein
EDBT 2019
[pdf] [commercial release 1, 2] -
Demonstration of a Multiresolution Schema Mapping System
Zhongjun Jin, Christopher Baik, Michael Cafarella, H. V. Jagadish, Yuze Lou
CIDR 2019
[pdf] [video]
-
Disambiguating Queries in Conversational Interfaces
- 2018
- 2017
-
Foofah: Transforming Data By Example
Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
SIGMOD 2017
[pdf] [poster] [slides] [code] [ReproZip] (Readme) [data] [press] -
Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs
Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
SIGMOD 2017 Demo (selected as "Best of" Demos)
[pdf] [video]
-
Foofah: Transforming Data By Example
- 2016 and before
- Privacy Preserving Access Control in Service-Oriented Architecture
Rohit Ranchal, Bharat Bhargava, Ruchith Fernando, Hui Lei, Zhongjun Jin
ICWS 2016 - A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing
Pelin Angin, Bharat Bhargava, Zhongjun Jin
CLOUD 2015
- Privacy Preserving Access Control in Service-Oriented Architecture
近况
- 07/2020 - 论文 "AutoTransform: Learning-to-Transform by Patterns" 被VLDB'20接收
- 05/2020 - 7月入职字节跳动/TikTok美国加州山景城.
- 03/2020 - 论文 DuoQuest 被SIGMOD 2020接收.
- 02/2020 - Demo短文 MithraCoverage 被SIGMOD 2020接收.
- 02/2019 - 我们的论文"Assessing and Remedying Coverage for a Given Dataset"被ICDE 2019接收。
- 02/2019 - 微软研究院实习。
- 11/2018 - 论文"CLX: Towards verifiable PBE data transformation"被EDBT 2019接收。
- 11/2018 - Llamasoft演讲，主题“self-service data preparation”。
- 10/2018 - 论文"Demonstration of a Schema Mapping System Using Multiresolution Constraints"被CIDR 2019接收。
- 07/2018 - EECS News报道"Tool for structuring data creates efficiency for data scientists"。
- 04/2018 - 论文"Beaver: Towards a Declarative Schema Mapping"被HILDA workshop @ SIGMOD 2018接收。
- 11/2017 - 我的Foofah的展示被2017工程研究生研讨会"Systems, Software Engineering and Computer Science"分会评为第一名。
- 08/2017 - Foofah通过SIGMOD ReproZip可重复测试 (rpz, readme)。
- 07/2017 - 参加WrangleConf会议。
- 06/2017 - Foofah于Github开源！
- 05/2017 - 在Trifacta暑期实习。
- 03/2017 - 论文"Foofah: Transforming data by example"被SIGMOD 2017接收。
- 02/2017 - 论文"Foofah: Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs被SIGMOD 2017接收。