Fang Wang

My work/research interest is database system. My previous works include AI for DB and modern hardware for DB.

My on-going works include cloud-native and relational database system.

If you could read Chinese, you may subscribe my ZhiHu blog (ID: learnDB).

Publication

• "Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation". In International Conference on Management of Data SIGMOD, 2023, first author.

• "Accelerating Similarity-based Mining Tasks on High-dimensional Data by Processing-in-memory.". In IEEE International Conference on Data Engineering ICDE, 2021, first author.

• "ReRAM-based processing-in-memory architecture for blockchain platforms." In Asia and South Pacific Design Automation Conference ASP-DAC, 2019, first author.

• "GHive: A demonstration of GPU-accelerated query processing in Apache Hive".  In International Conference on Management of Data Demonstration SIGMOD Demo, 2022, co-author.

• "GHive: Accelerating analytical query processing in Apache Hive via CPU-GPU heterogeneous computing." In ACM Symposium on Cloud Computing SoCC, 2022, co-author.

• "QEVIS: Fine-grained Visual Understanding of Distributed Query Execution". In submission to International Conference on Management of Data SIGMOD Industry, co-author. Demo Video

Project

• Cloud-native database.

• Learning-based query optimization for database analytics.

• Exploiting CPU-GPU co-processing for database analytics.

• Exploiting smart memory/storage (non-volatile memory NVM) for accelerating data mining on vector data.

News

16 Aug 2022   Our work LPCE (learning for cardinality estimation) is accepted by SIGMOD 2023.

10 Aug 2022  My ZhiHu (ID: learnDB) blog has over 120 subscribers.

17 June 2022  I passed the oral defense for PhD degree !!!

01 June 2022  I finished the internship at Huawei GuassDB as research intern for Gauss Cloud-native database project.

23 Dec 2020   I gave a talk on Exploiting GPUs For Database Analytical Query at Huawei GaussDB. The video recording (in Chinese) is available at Bilibili.

15 Sep 2020   I joined the database group as a visiting research student at Southern University of Science and Technology, China, and worked with Dr. Bo Tang.