PeopleofSuperintelligence

Researcher

Shirong Ma

Shirong Ma is an AI researcher at DeepSeek whose name appears on the technical reports behind the company's open-source language models. Educated at Tsinghua University, they were first author of a 2022 paper on building training corpora for Chinese grammatical error correction. Their name then appeared on the author lists of DeepSeek LLM, DeepSeek-Coder-V2 and DeepSeek-V3 in 2024, the Nature paper on DeepSeek-R1 in 2025, and the DeepSeek-V3.2 and DeepSeek-V4 reports. In September 2026, they were among the authors of the DeepSeek-V4.1-Flash and DSec reports, and they continue as a DeepSeek researcher.

Now at
DeepSeek
Works
45
Citations
2,423
h-index
13
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2022

    A Chinese error-correction corpus

    Educated at Tsinghua University, they are first author of "Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction", published in Findings of EMNLP 2022. The paper builds large-scale training corpora with automatically generated grammatical errors and a benchmark made of errors by native Chinese speakers.

  2. January 2024

    DeepSeek LLM 67B

    DeepSeek LLM, an open-source language model project described in January 2024, lists them among its DeepSeek-AI authors. The 67B model surpasses LLaMA-2 70B on various benchmarks, particularly in code, mathematics and reasoning.

  3. June 2024

    DeepSeek-Coder-V2 for code

    DeepSeek-Coder-V2, posted in June 2024, is an open-source Mixture-of-Experts code model further pre-trained from an intermediate DeepSeek-V2 checkpoint with 6 trillion additional tokens, and they are among its authors. It expands support from 86 to 338 programming languages and the context length from 16K to 128K.

  4. December 2024

    The DeepSeek-V3 report

    The DeepSeek-V3 technical report of December 2024 names them among its authors. DeepSeek-V3 is a Mixture-of-Experts language model with 671B total parameters, 37B of them activated for each token.

  5. September 2025

    DeepSeek-R1 in Nature

    Nature publishes the DeepSeek-R1 paper in September 2025, with them among the DeepSeek-AI Team authors. The paper shows that the reasoning abilities of LLMs can be incentivized through pure reinforcement learning, which removes the need for human-labelled reasoning trajectories.

  6. December 2025

    DeepSeek-V3.2 and Speciale

    DeepSeek-V3.2 appears in December 2025 with them among its authors. It introduces DeepSeek Sparse Attention, and its high-compute variant DeepSeek-V3.2-Speciale achieves gold-medal performance at the 2025 International Mathematical Olympiad and the International Olympiad in Informatics.

  7. April 2026

    The DeepSeek-V4 preview

    The DeepSeek-V4 preview of April 2026 lists them as an author. It presents DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated), both supporting a context length of one million tokens.

  8. As of October 2026

    Researcher at DeepSeek

    They are an AI researcher at DeepSeek. In September 2026, they are among the authors of DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model with 552B backbone parameters, and of the report on DeepSeek Elastic Compute (DSec), a production sandbox platform for agentic training.

Career

  1. Since 2025DeepSeekAI researcher
  2. 2022–2025Tsinghua Shenzhen International Graduate School

Education

  1. Tsinghua University

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning2025 · Nature · 1,118 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Daya Guo, Erhang Li and Fangyun Lin
  2. Can Open Large Language Models Catch Vulnerabilities?2025 · 539 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Erhang Li, Fangyun Lin and Haocheng Wang
  3. DeepSeek-V3 Technical Report2024 · 292 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Daya Guo, Dejian Yang and Erhang Li
  4. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism2024 · 98 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Daya Guo, Erhang Li and Fangyun Lin
  5. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence2024 · 51 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Daya Guo, Hanwei Xu and Huazuo Gao

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Shirong Ma. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. 16% of AI career moves in the 2020s went from a university to a companyIncludes Shirong Ma. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes DeepSeek. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staffIncludes DeepSeek. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staff. We test the estimate against 3,913 named model contributors and dated all-staff records across Google DeepMind, OpenAI and Anthropic, plus six additional frontier-grade labs.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Shirong Ma yet. Send us a free-licensed photo.

  1. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction (arXiv) arxiv.org. Checked 20 October 2026.
  2. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction - ACL Anthology aclanthology.org. Checked 20 October 2026.
  3. Shirong Ma - Wikidata wikidata.org. Checked 20 October 2026.
  4. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism arxiv.org. Checked 20 October 2026.
  5. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence arxiv.org. Checked 20 October 2026.
  6. DeepSeek-V3 Technical Report arxiv.org. Checked 20 October 2026.
  7. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning nature.com. Checked 20 October 2026.
  8. DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models arxiv.org. Checked 20 October 2026.
  9. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence arxiv.org. Checked 20 October 2026.
  10. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression arxiv.org. Checked 20 October 2026.
  11. DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale arxiv.org. Checked 20 October 2026.