PeopleofSuperintelligence

Researcher

Shanghao Lu

Shanghao Lu is an AI research contributor whose DeepSeek papers span language models, reasoning and training infrastructure. His 2024 work includes DeepSeek LLM, DeepSeek-V2, Fire-Flyer AI-HPC and DeepSeek-V3. He coauthored DeepSeek-R1 and DeepSeek-V3.2 in 2025, then DeepSeek-V4 in 2026. As of October 2026, he contributes to DeepSeek research on KV-cache compression and agent-training systems.

Now at
DeepSeek
Works
9
Citations
2,084
h-index
6

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. January 2024

    Open-source DeepSeek LLM

    In January 2024, he coauthors the DeepSeek LLM report, which studies scaling for open-source language models.

  2. May 2024

    DeepSeek-V2 mixture-of-experts

    In May 2024, he coauthors DeepSeek-V2, a 236B-parameter mixture-of-experts model with 21B parameters active per token.

  3. August 2024

    Fire-Flyer AI-HPC at scale

    The Fire-Flyer AI-HPC paper, which he coauthors in August 2024, presents a hardware-software design for deep-learning clusters. Its Fire-Flyer 2 deployment uses 10,000 PCIe A100 GPUs and approaches DGX-A100 performance while cutting costs by half and energy consumption by 40%.

  4. December 2024

    DeepSeek-V3 with 671B parameters

    By December 2024, he coauthors the DeepSeek-V3 report on a 671B-parameter mixture-of-experts model with 37B active per token.

  5. January 2025–September 2025

    DeepSeek-R1 through reinforcement learning

    He coauthors DeepSeek-R1 in January 2025; its report trains reasoning through pure reinforcement learning. Nature publishes the research article in September 2025.

  6. December 2025

    DeepSeek-V3.2 for agent performance

    The December 2025 DeepSeek-V3.2 report lists him as an author and describes a model built for high computational efficiency, reasoning and agent performance.

  7. April 2026

    DeepSeek-V4 million-token context

    DeepSeek-V4 lists him as an author in April 2026 and presents Pro and Flash models that support one-million-token contexts. Its report introduces hybrid attention for long-context efficiency.

  8. As of October 2026

    DeepSeek-V4.1-Flash and DSec

    His September 2026 work includes DeepSeek-V4.1-Flash, which reports a global key-value-cache footprint of 890 bytes per token. He also coauthors DeepSeek Elastic Compute (DSec), a production sandbox platform for agentic training.

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. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning2024 · 2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 21 citationsWith Chengqi Deng, Mingchuan Zhang, Shangyan Zhou and Shanhuang Chen

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Shanghao Lu. 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. 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.
  3. 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.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes DeepSeek. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Colleagues

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

Sources and credits

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

  1. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism arxiv.org. Checked 20 October 2026.
  2. DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model arxiv.org. Checked 20 October 2026.
  3. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning arxiv.org. Checked 20 October 2026.
  4. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning | Hugging Face Papers huggingface.co. Checked 20 October 2026.
  5. DeepSeek-V3 Technical Report arxiv.org. Checked 20 October 2026.
  6. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning 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.