
Hengrui Wang
- wang-hr21@mails.tsinghua.edu.cn
- WeChat: whr98991230
About Me
I am a PhD student in the Institute for Interdisciplinary Information Science (Yao Class) at Tsinghua University, advised by Prof. Huanchen Zhang. Before joining Tsinghua, I obtained my BS at Yuanpei College of Peking University, advised by Prof. Tong Yang. My research interests mainly lie in designing lightning-fast data structures and algorithms for storage, databases, and machine learning systems. I recently began designing a high-performance key-value store for HFT systems.
I am actively seeking opportunities in the computer systems research community (academic roles) as well as quantitative research positions in industry. If you find my work relevant, feel free to contact me via email or WeChat.
Education
Tsinghua University
PhD in Institute for Interdisciplinary Information Science (IIIS)
Advisor: Huanchen Zhang
Research Topics: Concurrent Data Structures, ML Systems, Cloud Databases
Peking University
Minor in Economics in the National School of Development
Peking University
BS in Yuanpei College
Advisor: Tong Yang
Research Topics: Probabilistic Data Structures
Professional Experience
Jiaqi Investment
Quantative Researcher (HFT)
F Lab
Quantative Researcher
Shanghai Qi Zhi Institute
Research intern on Cost-Intelligent Data Analytics in the Cloud
Tencent
Research intern on Intelligent Traffic Prediction
Publications
Rethinking The Compaction Policies in LSM-trees
Hengrui Wang, Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang
Proceedings of the ACM on Management of Data (SIGMOD'25), June 2025
GRF: A Global Range Filter for LSM-Trees with Shape Encoding
Hengrui Wang, Te Guo, Junzhao Yang, Huanchen Zhang
Proceedings of the ACM on Management of Data (SIGMOD'24), June 2024
PISketch: Finding Persistent and Infrequent Flows
Zhuochen Fan, Zhoujing Hu, Yuhan Wu, Jiarui Guo, Wenrui Liu, Tong Yang, Hengrui Wang, Yifei Xu, Steve Uhlig, Yaofeng Tu.
ACM SIGCOMM Workshop on Formal Foundations and Security of Programmable network INfrastructures (FFSPIN) 2022
Enhanced Machine Learning Sketches for Network Measurements
Hengrui Wang, Huiping Lin, Zheng Zhong, Tong Yang, Muhammad Shahzad
Transactions on Computers 2022