BEIJING, CHINA

RESEARCHER · DEEPSEEK INFRA TEAM

HengruiWang

ABOUT ME

TSINGHUA UNIVERSITYPh.D. · Class of 2026

01 / ABOUT ME

About me

Hengrui Wang in doctoral graduation robes by the pond at Tsinghua University
TSINGHUA, 2026

AI infra researcher at DeepSeek.

My research focuses on vector search systems, multimodal data formats for LLMs, and data planes for RL post-training.

I received my Ph.D. from the Institute for Interdisciplinary Information Science (IIIS), Tsinghua University, in June 2026, advised by Prof. Huanchen Zhang. Before joining Tsinghua, I obtained my B.S. at Yuanpei College of Peking University, advised by Prof. Tong Yang.

02 / EXPERIENCE

Experience

LLM / AI

JUL 2026 — PRESENT

CURRENT

DeepSeek

Researcher · Infra Team

MAY 2026 — JUN 2026

ShengShu Technology

Research Intern

Data infrastructure for world models.

MAR 2026 — JUN 2026

ByteDance

Informal Intern

Distributed KV cache.

Quantitative Trading

JAN 2026 — APR 2026

Taiyan Alpha

Futures Strategy Researcher

JUN 2025 — SEP 2025

Beijing, China

Jiaqi Investment

Quantitative Researcher (HFT)

JAN 2025 — JUN 2025

Shenzhen, China

F Lab

Quantitative Researcher (Factor)

In June 2026, the PM and the main investors decided to sue the founder after they found out that he was a total scammer.

Earlier research experience

STARTED AUG 2022 · SHANGHAI, CHINA

Shanghai Qi Zhi Institute

Research intern on Cost-Intelligent Data Analytics in the Cloud

JUL 2020 — SEP 2020 · BEIJING, CHINA

Tencent

Research intern on Intelligent Traffic Prediction

03 / EDUCATION

Education

2021 — JUN 2026

Tsinghua University

Ph.D. · Institute for Interdisciplinary Information Science (IIIS)

Advisor: Huanchen Zhang

Concurrent Data Structures, ML Systems, Cloud Databases

2022 — 2025

Peking University

Minor in Economics · National School of Development

2017 — 2021

Peking University

B.S. · Yuanpei College

Advisor: Tong Yang

Probabilistic Data Structures

Graduation portrait of Hengrui Wang with Peking University and Tsinghua University elements
20
26
04 / PUBLICATIONS

Publications

Fast data structures and algorithms for storage, databases, and machine learning systems.

  1. 01

    SIGMOD ’26 JUNE 2026

    Improving Range Scan Performance in LSM-trees with Group Caching

    Hengrui Wang, Jiaoyi Zhang, Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang

    Proceedings of the ACM on Management of Data

  2. 02

    SIGMOD ’25 JUNE 2025

    Rethinking The Compaction Policies in LSM-trees

    Hengrui Wang, Jiansheng Qiu, Fangzhou Yuan, Huanchen Zhang

    Proceedings of the ACM on Management of Data

  3. 03

    SIGMOD ’24 JUNE 2024

    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

  4. 04

    SIGCOMM / FFSPIN 2022

    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

  5. 05

    IEEE TC 2022

    Enhanced Machine Learning Sketches for Network Measurements

    Hengrui Wang, Huiping Lin, Zheng Zhong, Tong Yang, Muhammad Shahzad

    Transactions on Computers

05 / TEACHING

Teaching

Spring 2025
Database System
Spring 2022
Introduction to Programming
Summer 2021
Data Structures in the Real World
Spring 2021
Algorithm Design and Analysis
06 / BEYOND RESEARCH

SANDA
& BOXING.

Outside the lab, I train in Sanda and boxing and serve as president of the Tsinghua University Sanda Club. I’ve earned bronze (70 kg) and silver (75 kg) at the Capital University Sanda Championships, and bronze in the 72 kg non-professional division at the National College Sanda Championships.

Close-up of a sparring session in the boxing ring, in full color
01 / IN THE RING
Hengrui training with a sparring partner at the boxing club
02 / BOXING
Hengrui practicing a Sanda kick on a punching bag
03 / SANDA
The Tsinghua University Sanda team together behind the team flag
04 / THE TEAM

Selected training
& competition moments