Researcher

Ruoyu Zhang

Ruoyu Zhang is an AI researcher whose work spans knowledge-base question answering and language models. He earned a bachelor's degree in artificial intelligence at Yuanpei College, Peking University, in 2021 and a master's degree in data science at the university's Academy for Advanced Interdisciplinary Studies in 2024. He coauthored NAMER and Crake on question answering, LLMaAA on active annotation, and papers on DeepSeek-V3 and DeepSeek-R1. As of October 2026, he works at DeepSeek and coauthored DSec, a sandbox platform with a unified SDK, in September 2026.

Works
8
Badges

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2017–2021

    Artificial intelligence at PKU

    He earns a bachelor's degree in artificial intelligence at Yuanpei College, Peking University, in 2021.

  2. 2021

    NAMER and master's study

    In 2021, he coauthors NAMER, an open-domain Chinese knowledge-base question-answering system with a node-based framework, and begins a master's program in data science at Peking University's Academy for Advanced Interdisciplinary Studies.

  3. 2022

    Crake table-filling method

    He coauthors Crake in 2022, a knowledge-base question-answering method that uses a causal-enhanced table-filler before relation extraction.

  4. 2023

    LLMaAA active annotation

    In 2023, he coauthors LLMaAA, which uses language models as annotators in an active-learning loop to choose data for efficient labeling.

  5. 2024

    A master's and DeepSeek-V3

    He completes a master's degree in data science at Peking University's Academy for Advanced Interdisciplinary Studies in 2024. He coauthors the DeepSeek-V3 technical report in 2024, which presents a mixture-of-experts language model with 671 billion total parameters and 37 billion activated for each token.

  6. 2025

    DeepSeek-R1 reasoning model

    In 2025, he coauthors DeepSeek-R1, which uses reinforcement learning to encourage reasoning in large language models.

  7. As of October 2026

    DeepSeek's DSec platform

    In September 2026, he coauthors DeepSeek Elastic Compute (DSec), a production sandbox platform that exposes several sandbox backends through a unified SDK. As of October 2026, he works at DeepSeek.

Sources and credits

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  1. Ruoyu Zhang mod.icst.pku.edu.cn. Checked 22 October 2026.
  2. NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering aclanthology.org. Checked 22 October 2026.
  3. Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base aclanthology.org. Checked 22 October 2026.
  4. LLMaAA: Making Large Language Models as Active Annotators aclanthology.org. Checked 22 October 2026.
  5. 北京大学王选所数据管理实验室 mod.wict.pku.edu.cn. Checked 22 October 2026.
  6. DeepSeek-V3 Technical Report arxiv.org. Checked 22 October 2026.
  7. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning arxiv.org. Checked 22 October 2026.
  8. DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale arxiv.org. Checked 22 October 2026.
  9. Ruoyu Zhang | 500AI 500ai.org. Checked 22 October 2026.