Chong Ruan
Chong Ruan is an AI researcher and chief scientist at DeepRoute.ai. He previously led research and development at DeepSeek. His coauthored work includes the DeepSeek-V2 and DeepSeek-V3 reports on mixture-of-experts language models, and papers on model reasoning and Lean theorem proving. In 2026, he presented DeepRoute.ai’s Foundation Model for intelligent driving and gave a keynote on AI safety for autonomous driving.
- Now at
- DeepRoute.ai
- Works
- 20
Publication numbers from OpenAlex, as of 19 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2024
The DeepSeek-V2 model
In 2024, he coauthors DeepSeek-V2, a 236-billion-parameter mixture-of-experts model that uses Multi-head Latent Attention and DeepSeekMoE.
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2024
DeepSeek-V3 technical report
In 2024, he coauthors the DeepSeek-V3 technical report, which presents a 671-billion-parameter mixture-of-experts model trained on 14.8 trillion tokens.
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2025
Reasoning with reinforcement learning
In 2025, he coauthors DeepSeek-R1, a study of reasoning in language models. The paper describes how pure reinforcement learning can develop patterns such as self-reflection, verification, and dynamic strategy adaptation.
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2025
Proof-assistant feedback
At ICLR 2025, he coauthors DeepSeek-Prover-V1.5, a paper on proof-assistant feedback, reinforcement learning, and Monte-Carlo tree search.
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2025
Formal theorem proving in Lean 4
In April 2025, he coauthors DeepSeek-Prover-V2, an open-source model for formal theorem proving in Lean 4. Its training pipeline uses DeepSeek-V3 to divide complex problems into subgoals.
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As of October 2026
Chief Scientist at DeepRoute.ai
As of October 2026, he is chief scientist at DeepRoute.ai and gives a keynote on AI safety at the September 2026 ECCV workshop. In April 2026, he presents the company’s Foundation Model for advanced intelligent driving. Earlier in his career, he leads research and development at DeepSeek and works as a core researcher in multimodal AI.
Career
- NowDeepRoute.aiChief Scientist
- DeepSeekResearch and Development Lead
Sources and credits
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- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
- DeepSeek-V3 Technical Report
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
- DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
- DeepRoute.ai CEO Maxwell Zhou: Aiming to Become the AI Infrastructure of the Physical World
- Safe and Defensive Autonomous Driving Workshop · ECCV 2026