Jin Wang (王津)
Ph.D.
Incoming Assistant Professor
School of Computing and Augmented Intelligence, Arizona State University
E-mail: jinwang18 [at] asu.edu
About Me
I will start as a tenure-track assistant professor at Arizona State Univeristy in Fall 2025. I was a Research Scientist in Megagon Labs from 2020 to 2025. Before that I obtained my Ph.D. degree from Computer Science Department, University of California, Los Angeles in July 2020 under the supervision of Professor Carlo Zaniolo. The title of my PhD thesis is "Power, Performance and Scalability for Big Data Query Languages: The Machine Learning Challenge" (Available online here). And I obtained my Master degree of Engineering from Department of Computer Science and Technology, Tsinghua Univeristy in 2015.
My research interest lies in the broad areas of database, machine learning and information retrieval. In particular, my research focuses on Database Query Language, Database System and using database technologies to boost the applications in data integration and natural language processing. I am a member of ACM and IEEE.
News
- April 2025
- I will join ASU as an assistant professor in Fall 2025! If you are interested in working with me as PhD student starting from Fall 2025, Spring 2026 or Fall 2026, please feel free to contact me via email.
- Aug. 2024
- Selected as the Distinguished Reviewer of VLDB 2024 (PVLDB Vol. 17).
- June 2023
- We will give a tutorial titled "Table Discovery in Data Lakes: State-of-the-art and Future Directions" in SIGMOD 2023. Please visit our website for more information
- Feb. 2023
- Our work about Semantics-aware Dataset Discovery from Data Lakes got accepted by VLDB 2023. The preprint is available now.
- Nov. 2022
- Our Sudowoodo paper that employs Contrastive Learning for Entity Matching got accepted by IEEE ICDE 2023, check our repo for the source code.
- June 2022
- Our Minun paper wins the best paper runner-up of the 6th Workshop on Data Management for End-to-End Machine Learning (co-located w/ SIGMOD 2022)!
- Dec. 2021
- Our work about Parallel Datalog Query Processing on Multi-core Machine is accepted by SIGMOD 2022!
- Nov. 2021
- We release the benchmark tasks for Generalized Entity Matching, check our repo.
- Mar. 2021
- The work towards my PhD defense is accepted by The VLDB Journal! It is part of our Radlog System.
- Feb. 2021
- Two papers got accepted by IEEE ICDE 2021.
- Dec. 2020
- Invited as the Senior PC Member of IJCAI 2021, PC Member of ACL and KDD 2021.
- Oct. 2020
- Our Vision Paper "Deep Entity Matching: Challenges and Opportunities" is accepted by JDIQ.
- August 2020
- Start my new journey in Megagon Lab!
- June 2020
- Smoothly pass my final defense.
- Feb. 2020
- I am granted the Graduate Fellowship for Spring 2020. Really appreciate the gift from the CS Department!
- Sept. 2019
- I am promoted to Teaching Fellow since Fall 2019.
- Aug 2019
- Our tutorial titled "Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join" is accepted by CIKM 2019.
- May 2019
- Smoothly passed oral qualifying exam.
- May 2019
- Two papers got accepted by IJCAI 2019.
- Feb. 2019
- Three papers got accepted by IEEE ICDE 2019.
- Dec. 2018
- Paper "A Transformation-based Framework for KNN Set Similarity Search" accepted by IEEE TKDE.
- Nov. 2018
- Paper "An Efficient Sliding Window Approach for Approximate Entity Extraction with Synonyms" accepted by EDBT 2019. See you in Lisbon!
- Sep. 2018
- Finish summer internship at Amazon A9.
- Apr. 2017
- One full paper accepted by IJCAI 2017.
- Jan. 2017
- One full paper and one poster accepted by ICDE 2017.
- Sep. 2016
- Finish a nice internship in Microsoft Research Beijing with Dr. Zhongyuan Wang.
- Dec. 2015
- Our demo paper of CEP-R System is accepted by ICDE 2016.
- Aug. 2015
- Sep. 2015. Join University of California, Los Angeles. Go Bruins!