HUANG, Kaisong
黄铠松

I am a PhD candidate advised by Prof. Tianzheng Wang at Data-Intensive Systems Lab. My research interests are mainly focused on database engines, transaction processing, storage management, and disaggregated systems. Previously, I obtained MMath in Computer Science and BEng in Software Engineering from University of Waterloo and Nanjing University, respectively. I received ACM SIGMOD Research Highlight Award in 2023.

• PhD, Computer Science, Simon Fraser University, Sep 2020 - Apr 2025 (Expected).
• MMath, Computer Science, University of Waterloo, Sep 2018 - Aug 2020.
• BEng, Software Engineering, Nanjing University, Sep 2014 - Jun 2018.

Reviewer

• The VLDB Journal
• Journal of Systems Architecture
• ACM Transactions on Architecture and Code Optimization (TACO)
• IEEE Transactions on Computers (TC)
• CIKM 2024, 2023 (subreviewer)

Other

• VLDB 2023 Volunteer
• SIGMOD 2022 Availability Committee

1. DEX: Scalable Range Indexing on Disaggregated Memory.
   Baotong Lu^*, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
   VLDB ’24 Guangzhou | Paper (arXiv version) | Code
   


2. The Art of Latency Hiding in Modern Database Engines. (A.K.A. MosaicDB)
   Kaisong Huang^*, Tianzheng Wang, Qingqing Zhou, Qingzhong Meng
   VLDB ’24 Guangzhou | Paper | Code
   


3. Indexing on Non-Volatile Memory: Techniques, Lessons Learned and Outlook.
   Kaisong Huang, Tianzheng Wang
   Springer Book


4. Efficiently Making Cross-Engine Transactions Consistent.
   Jianqiu Zhang, Kaisong Huang, Tianzheng Wang, King Lv
   SIGMOD Record ’23 | Invited Paper | Technical Perspective by Prof. Carsten Binnig


5. The Past, Present and Future of Indexing on Persistent Memory.
   Kaisong Huang^*, Yuliang He^*, Tianzheng Wang^*
   VLDB ’22 Sydney | Tutorial | Slides


6. Evaluating Persistent Memory Range Indexes: Part Two.
   Yuliang He^*, Duo Lu, Kaisong Huang, Tianzheng Wang
   VLDB ’22 Sydney | Paper | arXiv Extended Version | Slides | Poster | Code


7. Skeena: Efficient and Consistent Cross-Engine Transactions.
   2023 ACM SIGMOD Research Highlight Award
   Jianqiu Zhang, Kaisong Huang^*, Tianzheng Wang, King Lv
   SIGMOD ’22 Philadelphia | Paper | Slides | Video | Poster | Code


8. Rethinking the Performance/Cost of Persistent Memory and SSDs.
   Kaisong Huang^*, Darien Imai, Tianzheng Wang, Dong Xie
   NVMW ’22 San Diego | Abstract | Slides


9. SSDs Striking Back: The Storage Jungle and Its Implications on Persistent Indexes.
   Kaisong Huang, Darien Imai, Tianzheng Wang^*, Dong Xie
   CIDR ’22 Santa Cruz | Paper | Slides | Video | Code

Research

• Research Assistant, Data-Intensive Systems Lab, SFU, Sep 2020 - Present.
• Research Assistant, Data-Intensive Systems Lab, SFU, Jan 2020 - Apr 2020.
• Research Assistant, Data Systems Group (with Prof. Jimmy Lin), Waterloo, Jan 2019 - Aug 2019.

Teaching

• Teaching Assistant, CMPT 459/984 Modern Data Systems, SFU, May 2022 - Aug 2022.
• Teaching Assistant, CMPT 454 Database Systems II, SFU, Sep 2021 - Dec 2021.

Development

• Database Kernel Developer Intern, Tencent Americas, Vancouver, Aug 2021 - Oct 2021.
• Software Engineer Intern, Telus, Toronto, Aug 2019 - Jan 2020.
• Software Engineer Intern, SAP, Shanghai, Jul 2017 - Feb 2018.