PeopleofSuperintelligence

Researcher

Yiping Bao

Yiping Bao is an AI researcher whose work spans mobile object detection, multimodal learning, and language models. They worked as a researcher at Megvii from 2018 to 2022 and coauthored ThunderNet in 2019 and General Instance Distillation for Object Detection in 2021. They worked as a researcher at ByteDance from 2022 to 2024, then joined Moonshot AI as a researcher in 2024. Their papers covered multimodal 3D representation learning in 2024, Kimi k1.5 and Kimi-VL in 2025, Kimi K2 in 2025, and Kimi K3 in 2026. As of October 2026, they are a researcher at Moonshot AI.

Timeline

  1. 2018–2022

    Researcher at Megvii

    From 2018 to 2022, they work as a researcher at Megvii.

  2. 2019

    ThunderNet on mobile devices

    In 2019, they coauthor ThunderNet, a lightweight two-stage detector for real-time object detection on mobile platforms.

  3. 2021

    General Instance Distillation

    In 2021, they coauthor General Instance Distillation for Object Detection, which uses feature-based, relation-based, and response-based knowledge for distillation.

  4. 2022–2024

    Researcher at ByteDance

    From 2022 to 2024, they work as a researcher at ByteDance.

  5. 2024

    Distilling multimodal 3D relations

    In 2024, they coauthor Multi-modal Relation Distillation for Unified 3D Representation Learning, a tri-modal framework that distills vision-language models into 3D backbones.

  6. 2025

    Kimi k1.5 and Kimi-VL

    In 2025, they coauthor Kimi k1.5: Scaling Reinforcement Learning with LLMs, which reports a multimodal language model trained with reinforcement learning. They also coauthor Kimi-VL Technical Report, an open-source mixture-of-experts vision-language model for multimodal reasoning and long-context understanding.

  7. July 2025

    Kimi K2 agentic intelligence

    In 2025, they coauthor Kimi K2: Open Agentic Intelligence, a mixture-of-experts language model with 32 billion activated parameters and 1 trillion total parameters.

  8. As of October 2026

    Researcher at Moonshot AI

    Since 2024, they work as a researcher at Moonshot AI and focus on computer vision and multimodal learning. In July 2026, they coauthor Kimi K3: Open Frontier Intelligence, a mixture-of-experts model with native vision and a one-million-token context window.

Career

  1. Since 2024Moonshot AIResearcher
  2. 2022–2024ByteDanceResearcher
  3. 2018–2022MegviiResearcher

From the biography.

  1. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staffIncludes Moonshot AI. 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.
  2. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Moonshot AI. 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.
  3. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes ByteDance. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Megvii. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

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

Sources and credits

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  1. Yiping Bao (Moonshot AI): multimodal learning — Lacuna lacuna.tiptreesystems.com. Checked 20 October 2026.
  2. ICCV 2019 Open Access Repository openaccess.thecvf.com. Checked 20 October 2026.
  3. CVPR 2021 Open Access Repository openaccess.thecvf.com. Checked 20 October 2026.
  4. [2407.14007] Multi-modal Relation Distillation for Unified 3D Representation Learning arxiv.org. Checked 20 October 2026.
  5. [2501.12599] Kimi k1.5: Scaling Reinforcement Learning with LLMs arxiv.org. Checked 20 October 2026.
  6. [2504.07491] Kimi-VL Technical Report arxiv.org. Checked 20 October 2026.
  7. [2507.20534] Kimi K2: Open Agentic Intelligence arxiv.org. Checked 20 October 2026.
  8. [2607.24653] Kimi K3: Open Frontier Intelligence arxiv.org. Checked 20 October 2026.
  9. Yiping BAO - Google Scholar scholar.google.com. Checked 20 October 2026.