Jianguo Wang

Assistant Professor

Department of Computer Science
Purdue University
West Lafayette, Indiana

Email: csjgwang@purdue.edu
Office: LWSN 2142B
Phone: (765) 496-0726




Biography

Jianguo Wang is currently a Tenure-Track Assistant Professor in the Department of Computer Science at Purdue University.

Prior to joining Purdue, he worked at Zilliz on Milvus, a purpose-built vector database system. Before that, he worked at Amazon Web Services (AWS) on Amazon Aurora, a cloud-native database system. He also interned at Microsoft Research, Oracle, and Samsung on various database systems.

He obtained his PhD degree in Computer Science from the University of California, San Diego, his MPhil degree from The Hong Kong Polytechnic University, and his Bachelor's degree from Zhengzhou University, China.


Research Interests

Currently, I'm leading a team of students working on Database Systems for the Cloud and Large Language Models, including Disaggregated Databases and Vector Databases.

  • Disaggregated Database Systems (for the Cloud)
    • Memory-Disaggregated Databases
    • Storage-Disaggregated Databases
    • Disaggregated Databases with Multi-Masters
    • Distributed Shared-Memory & Shared-Storage Databases
    • Serverless Databases with Disaggregation
    • [Papers: Patent'24, SIGMOD'24a, SIGMOD'24b, VLDBJ'24a, VLDB'23, SIGMOD'23, ICDE'23]
    • [Major Open-source: We built OpenAurora, an open-source version of Amazon Aurora, based on PostgreSQL v13.0. OpenAurora is a cloud-native database prototype optimized for the storage-disaggregated infrastructure. We are currently working on memory disaggregation and multi-masters within OpenAurora. We hope it will be used by the broader database system research community.]
    • [External Grants: NSF CAREER Award]
  • Vector Database Systems (for Large Language Models)
    • Supporting Vector Data Management inside Relational Databases
    • Multi-Model Vector Databases (Vector + "X") for Advanced RAGs
    • Cost-Efficient Vector Databases
    • Auto Tuning in Vector Databases
    • Beyond Vector Databases: RAGs, DB-LLM Co-Design, Unified DB
    • [Papers: VLDB'24a, VLDB'24b, SIGMOD'24c, SIGMOD'24d, ICDE'24, VLDBJ'24b, SIGMOD'21, ICDT'19]


Working Experience


Recent Publications


Team


Hiring

I'm always looking for highly motivated students in database systems (hiring info). Please feel free to contact me if you're interested.



Teaching

  • CS592: Disaggregated Database Systems
    • Spring 2023
  • CS590-CDS: Cloud-native Database Systems
    • Spring 2021
  • CS440: Large-scale Data Analytics
    • Fall 2024, Fall 2023, Fall 2022, Fall 2021
  • CS448: Introduction to Database Systems
    • Spring 2022


Honors and Awards


Services

Academic Services

University Services

National Services

  • NSF Panelist: 2024