My name is Ruihong Wang (王睿鸿). A Ph.D Candidate at Purdue, co-advised by Prof. Walid Aref and Prof. Jianguo Wang. Before coming to Purdue, I got my master degree in computer engineering at Texas A&M University.

A Boilermaker & An Aggie!

Research

My research interests lie in cloud native databases and distributed computing. I also have some research experiences in machine learning during my master journey.

Education

• B.S. in Electrical Engineering, Jilin University, 2018
• M.S. in Computer Engineering, Texas A&M University, 2020
• Ph.D. in Computer Science, Purdue University, 2025 (expected)

Work experience

• Summer 2023: Research intern
  • Alibaba US
  • Project: Level-2 caching in PolarDB
  • Mentor: Rui Wang
• 2022 - 2023: Research Assistant
  • Purdue University
  • Research topic： DB index over disaggregated memory
  • Advisor: Prof. Jianguo Wang

Selected publications

• Ruihong Wang, Jianguo Wang, Walid G. Aref. Cache Coherence over Disaggregated Memory.CoRR abs/2409.02088 (Under the revision of VLDB 2025).
• Ruihong Wang, Jianguo Wang, Stratos Idreos, M. Tamer Özsu, Walid G. Aref.
  The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation.
  Proceedings of Very Large Data Bases Conference (VLDB), pages 15-22, 2023.
• Ruihong Wang, Jianguo Wang, Prishita Kadam, M. Tamer Özsu, Walid G. Aref.
  dLSM: An LSM-Based Index for Memory Disaggregation.
  Proceedings of International Conference on Data Engineering (ICDE), pages 2835-2849, 2023.
• Ruihong Wang, Chuqing Gao, Jianguo Wang, Prishita Kadam, M. Tamer Özsu, Walid G. Aref. Optimizing LSM-based Indexes for Disaggregated Memory. The VLDB Journal (2024).

For more publications, please check my Google scholar page