Researcher

Zhipeng Zhou

Zhipeng Zhou is a researcher whose work spans conformal geometry, 3D vision, point-cloud learning and large language models. He studied at the Chinese Academy of Sciences from 2013 to 2018 and coauthored papers on conformal metrics and point-cloud methods. At Alibaba DAMO Academy, he coauthored a 2023 geometry-coding paper that introduces PCNet184, then coauthored the 2025 Qwen3 technical report. As of October 2026, his research includes reinforcement learning for control and finite-data stability guarantees.

Now at
Alibaba
Works
91

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2013–2018

    Doctoral study at CAS

    From 2013 to 2018, he is a PhD student at the Chinese Academy of Sciences.

  2. 2017

    Conformal metrics and bubble trees

    In 2017, he coauthors a study with Yuxiang Li on conformal metric sequences with integral-bounded scalar curvature. It uses the 3-circle theorem and the John-Nirenberg inequality to study bubble-tree convergence.

  3. 2019

    Geometry Sharing Network

    In 2019, he coauthors Geometry Sharing Network (GS-Net), which uses an Eigen-Graph to group distant points and build point descriptors with holistic context.

  4. 2020

    A radius in conformal geometry

    He coauthors a study with Guodong Wei and Yuxiang Li in 2020 on the John-Nirenberg radius and collapsing in conformal geometry.

  5. 2021

    PC-HMR for human-mesh recovery

    At Shenzhen Institutes of Advanced Technology, he coauthors PC-HMR in 2021, using 3D pose to calibrate human-mesh recovery from images and videos.

  6. November 2023

    Point-cloud coding and PCNet184

    At Alibaba DAMO Academy, he coauthors a geometry-coding paper in November 2023. The paper introduces PCNet184, a dataset with 184 categories and 51,915 synthetic objects.

  7. 2025

    The Qwen3 technical report

    The 2025 Qwen3 technical report presents dense and mixture-of-experts models; he coauthors the report, and the Qwen team at Alibaba Cloud develops the series.

  8. As of October 2026

    Reinforcement learning for control

    As of October 2026, his research includes reinforcement learning for control. He coauthors a 2026 paper that presents finite-data probabilistic stability guarantees using Lyapunov’s method.

Career

  1. From 2023Alibaba
  2. From 2021Chinese Academy of Sciences

Education

  1. 2018Chinese Academy of SciencesPhD

Sources and credits

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  1. Zhipeng Zhou — Lacuna lacuna.tiptreesystems.com. Checked 22 October 2026.
  2. Conformal metric sequences with integral-bounded scalar curvature arxiv.org. Checked 22 October 2026.
  3. Geometry Sharing Network for 3D Point Cloud Classification and Segmentation arxiv.org. Checked 22 October 2026.
  4. Li Yuxiang-Department of Mathematical Sciences, Tsinghua University math.tsinghua.edu.cn. Checked 22 October 2026.
  5. PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos ojs.aaai.org. Checked 22 October 2026.
  6. Towards robustness and generalization of point cloud representation: A geometry coding method and a large-scale object-level dataset sciopen.com. Checked 22 October 2026.
  7. Qwen3 Technical Report arxiv.org. Checked 22 October 2026.
  8. GitHub - QwenLM/Qwen3: Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. · GitHub github.com. Checked 22 October 2026.
  9. Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach arxiv.org. Checked 22 October 2026.