Researcher

Chengen Huang

Chengen Huang is a researcher at Alibaba Group whose papers span language models, mobile systems, and research agents. He studied as an undergraduate at Claremont Graduate University and as an MS student at Tsinghua University, and presented Trinity, a mobile-emulation project, at OSDI in 2022. He co-authored technical reports on Yi-Lightning in 2024 and Qwen3 in 2025. His later work evaluated DeepResearch reports, explored training language models to generate research ideas, and developed reinforcement learning for search-agent abstention.

Now at
Alibaba
Works
10
Citations
199
h-index
2
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2015–2023

    Claremont, Tsinghua and Trinity

    He studies as an undergraduate at Claremont Graduate University from 2015 to 2019 and as an MS student at Tsinghua University from 2020 to 2023. At OSDI in 2022, he presents Trinity: High-Performance Mobile Emulation through Graphics Projection.

  2. December 2024

    The Yi-Lightning technical report

    In December 2024, he coauthors the Yi-Lightning technical report, which describes a Mixture-of-Experts language model with optimized KV caching.

  3. May 2025

    The Qwen3 technical report

    In May 2025, he coauthors the Qwen3 technical report, which describes dense and Mixture-of-Experts language models spanning 0.6 to 235 billion parameters.

  4. October 2025

    Evaluating DeepResearch reports

    In October 2025, he coauthors Understanding DeepResearch via Reports, which introduces a 100-query benchmark for comparing report quality, redundancy, and factuality.

  5. February 2026

    Training models for idea generation

    In February 2026, he coauthors DeepInnovator, a training framework designed to help large language models generate research ideas.

  6. July 2026

    Training search agents to abstain

    In July 2026, he coauthors To Answer or to Abstain, which introduces Abstention-Aware Reinforcement Learning (AWA-RL) to shape abstention rewards using query-specific capabilities and on-policy training observations.

  7. Since 2025

    Researcher at Alibaba Group

    He is a researcher at Alibaba Group.

Career

  1. Since 2025AlibabaResearcher

Education

  1. 2023Tsinghua UniversityMS student
  2. 2019Claremont Graduate UniversityUndergraduate student

Most-cited works

  1. Qwen3 Technical Report2025 · 147 citationsWith Baosong Yang, Beichen Zhang, Binyuan Hui, Fei Huang, Le Yu and Rui Men
  2. Yi: Open Foundation Models by 01.AI2024 · 49 citations
  3. REMOTE SENSING OF CROP GROWTH CHARACTERISTICS IN GREENHOUSES2002 · Acta Horticulturae · 3 citations
  4. DeepInnovator: Triggering the Innovative Capabilities of LLMs2026 · 0 citations
  5. Land Cover Change Community-based Processing and Analysis System (LC-ComPS): Lessons Learned from Technology Infusion2008 · AGUFM · 0 citations

Sources and credits

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  1. Chengen Huang — Lacuna lacuna.tiptreesystems.com. Checked 19 October 2026.
  2. Chengen Huang | USENIX usenix.org. Checked 19 October 2026.
  3. Yi-Lightning Technical Report arxiv.org. Checked 19 October 2026.
  4. Qwen3 Technical Report arxiv.org. Checked 19 October 2026.
  5. Understanding DeepResearch via Reports arxiv.org. Checked 19 October 2026.
  6. DeepInnovator: Triggering the Innovative Capabilities of LLMs arxiv.org. Checked 19 October 2026.
  7. To Answer or to Abstain: Mitigating Search-Agent Hallucinations via Abstention-Aware Reinforcement Learning arxiv.org. Checked 19 October 2026.