Weihai Shen
I am currently a PhD candidate in computer science at Stony Brook University since Fall 2020. My research is distributed systems and multi-core transactional systems.
At Stony Brook University, I work with Dr. Shuai Mu as a member of the stonysystems.
Email: weihshen at cs stonybrook edu
Publications
Mako: Speculative Distributed Transactions with Geo-Replication
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2025
DepFast: Orchestrating Code of Quorum Systems
In Proceedings of the USENIX Annual Technical Conference (USENIX ATC), 2022
Rolis: a software approach to efficiently replicating multi-core transactions
In Proceedings of ACM European Conference on Computer Systems (EuroSys), 2022
Services
External Review Committee for USENIX ATC 2024
Teaching
Teaching Assistant on CSE 535: Distributed Systems, Fall 2022
Teaching Assistant on CSE 320: Systems Fundamentals II, Spring 2021
Teaching Assistant on CSE 305: Database Design and Practice, Fall 2020
Experience
Software Engineer Intern
NetInfra, Google, Sunnyvale, CA
May 2024 – Aug 2024
- Developed a prototype for 1:N networking multiplexing in LibFabric, enabling efficient communication between one endpoint and multiple shared queue pairs (QPs).
- Conducted comprehensive benchmarks on RDMA isolation using our RDMA-connected SmartNICs, analyzing interesting findings.
System Research Intern
Infrastructure system lab, ByteDance (Tiktok), Mountain View, CA
May 2021 – Aug 2021
- Designed and implemented a prototype memory allocation and tracking engine for the next-generation HSAP database system, optimizing resource utilization and system performance.
Software development & data engineer
ByteDance/Baidu/Ganji (acquired by 58.com), Beijing, China
July 2014 – June 2018
- Developed an intelligent ad platform by integrating multiple ad engines, managing thousands of keywords to significantly enhance user growth. (Bytedance)
- Implemented a real-time big data analysis platform using Apache Storm, Apache Flink, Apache Spark, and HBase, delivering scalable, near real-time statistical data to users. (Bytedance)
- Designed and implemented a robust data warehouse using Apache Hive, enabling continuous monitoring and optimization of long-term user retention rates. (Bytedance)
- Built a big data tool to analyze application performance; delivered software solutions in PHP for the application and systems according to specific needs. (Baidu)
- Enhanced website search engine optimization (SEO); developed PHP software solutions to meet diverse application and system needs. (Ganji)