Weihai Shen
I am currently a PhD candidate in computer science at Stony Brook University since Fall 2020. My research is distributed systems, consensus protocols, fast networks, and multi-core transactional systems.
At Stony Brook University, I work with Professor Shuai Mu as a member of the stonysystems. I also collaborate closely with Professor Sebastian Angel and Dr. Siddhartha Sen.
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
Experience
Software Engineer Intern
NetInfra, Google, Sunnyvale, CA
May 2024 – Aug 2024
- Built and ran RDMA isolation microbenchmarks on RoCE-connected servers to characterize cross-tenant interference in Google Cloud, identifying 5+ potential fairness issues.
- Built a libfabric-based RDMA multiplexing prototype that lets one endpoint communicate with many peers by sharing queue pairs (QPs) for large-scale systems.
System Research Intern
Infrastructure system lab, ByteDance (Tiktok), Mountain View, CA
May 2021 – Aug 2021
- Profiled memory behavior across OLAP execution paths (vectorized operators, caching, memory pools) to inform allocator design and tuning.
- Designed and implemented a jemalloc-style allocator prototype for the database, reducing memory consumption by 10\% across representative workloads.
Software development & data engineer
ByteDance/Baidu/Ganji (acquired by 58.com), Beijing, China
July 2014 – June 2018
- Developed an ad platform that unified multiple ad engines and supported large keyword inventories for scalable targeting and growth. (ByteDance)
- Designed and implemented a near-real-time analytics pipeline (Storm/Flink/Spark + HBase) to support scalable metric aggregation. (ByteDance)
- Delivered scalable web and backend solutions, collaborating with product teams to translate requirements into production-ready implementations. (Baidu / Ganji)
Services
External Review Committee for USENIX ATC 2024
Awards and Honors
Student Scholarship - First Prize, NJUPT, 2011
Best Student Model, NJUPT, 2011
Student Scholarship - First Prize, NJUPT, 2012
Best Student Award, NJUPT, 2012
Student Scholarship - Second Prize, NJUPT, 2013
Excellent Graduation Thesis, NJUPT, 2014
Teaching
Recitation on CSE 532: Database Systems, Fall 2025
Teaching Assistant on CSE 535: Distributed Systems, Fall 2022
Teaching Assistant on CSE 320: Systems Fundamentals II, Spring 2021
Teaching Assistant on ISE 305: Database Design and Practice, Fall 2020