Zhean Xu
Also known as CyanicX
Zhean Xu is a Core Engineer at DeepSeek AI in Hangzhou who works on machine learning systems and algorithms. A paper on faster knapsack algorithms, written with Qizheng He, appeared in August 2023, and Xu joined DeepSeek in October 2023. DeepSeek-V3 in December 2024 and DeepSeek-R1 in January 2025, which Nature published in September 2025, both have Xu among their authors. DeepEP, an expert-parallel communication library published on GitHub in 2025, has Xu among its authors, as do DeepSeek-V3.2 and mHC from December 2025. Xu is also an author of DeepSeek-V4.1-Flash, posted in September 2026.
- Now at
- DeepSeek
- Links
- Google Scholar, X and LinkedIn
Timeline
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August 2023
Faster knapsack algorithms
Simple and Faster Algorithms for Knapsack, posted on arXiv in August 2023 by Qizheng He and Xu, presents new pseudo-polynomial time algorithms for the knapsack problem.
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October 2023
Joining DeepSeek AI
DeepSeek AI in Hangzhou is where Xu starts work as a Core Engineer in October 2023.
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December 2024
The DeepSeek-V3 technical report
The DeepSeek-V3 technical report appears on arXiv in December 2024 with Xu among its authors. DeepSeek-V3 is a Mixture-of-Experts language model with 671B total parameters, 37B of them activated for each token.
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January 2025–September 2025
DeepSeek-R1 on arXiv and Nature
DeepSeek-R1 appears on arXiv in January 2025 with Xu among its authors. The paper shows that the reasoning abilities of LLMs can be incentivized through pure reinforcement learning, and a version in Nature follows in September 2025.
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2025
The DeepEP library
In 2025, DeepSeek publishes DeepEP, an efficient expert-parallel communication library, on GitHub with Xu among its nine listed authors. Systems optimization work by Xu also includes DeepGEMM, which implements FP8 GEMM kernels with fine-grained scaling.
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December 2025
DeepSeek-V3.2 and mHC
DeepSeek-V3.2, a model that combines DeepSeek Sparse Attention with a scalable reinforcement learning framework, appears in December 2025 with Xu among its authors. The mHC paper from December 2025 also has Xu as an author and proposes Manifold-Constrained Hyper-Connections, which restore the identity mapping property of the residual connection.
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January 2026
A quantum data structure
Quantum Data Structure for Range Minimum Query, posted in January 2026 by Qisheng Wang, Xu and Zhicheng Zhang, proposes a quantum data structure that supports range minimum queries and range updates with an optimal time complexity.
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As of October 2026
Core Engineer at DeepSeek
Xu is a Core Engineer at DeepSeek AI in Hangzhou, working on machine learning systems and algorithms. DSpark, a speculative decoding framework posted in July 2026, and DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model with 552B backbone parameters posted in September 2026, both have Xu among their authors.
Sources and credits
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- [2308.11307] Simple and Faster Algorithms for Knapsack
- Zhean Xu | alphaXiv
- [2412.19437] DeepSeek-V3 Technical Report
- [2501.12948] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning | Nature
- GitHub - deepseek-ai/DeepEP: DeepEP: an efficient expert-parallel communication library
- [2512.02556] DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- [2512.24880] mHC: Manifold-Constrained Hyper-Connections
- [2601.13195] Quantum Data Structure for Range Minimum Query
- [2607.05147] DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
- [2609.19969] DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
- Zhean Xu - Google Scholar
