PeopleofSuperintelligence

Researcher

Lingxi Xie

Also known as 谢凌曦, Ling-Xi Xie

Lingxi Xie is a computer-vision researcher at Huawei whose papers cover object detection, neural architecture search, vision backbones and AI weather forecasting. After earning a B.E. in 2010 and a Ph.D. in 2015 at Tsinghua University, where his paper won the ICMR 2015 best paper award, he worked as a postdoctoral researcher in Alan Yuille's CCVL lab at UCLA and Johns Hopkins from 2015 to 2019. In 2019, he joined Huawei's Noah's Ark Lab and coauthored CenterNet, then PC-DARTS, a 2023 Nature paper on Pangu-Weather, and VMamba in 2024. As of October 2026, he is a senior researcher at Huawei, and his 2026 paper LongVideo-R1 lists Huawei Consumer Business Group as his affiliation.

Now at
Huawei
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Timeline

  1. 2006–2015

    Tsinghua degrees and a best paper

    At Tsinghua University, he earns a B.E. in 2010 and a Ph.D. in engineering in 2015 under the supervision of Bo Zhang and Qi Tian of the University of Texas at San Antonio. In 2015, his paper "Image Classification and Retrieval are ONE" wins the best paper award at ICMR 2015, and his doctoral thesis is selected as an Outstanding Ph.D. Thesis of Tsinghua University.

  2. 2015–2019

    Postdoc in Yuille's CCVL lab

    From 2015 to 2019, he is a postdoctoral researcher in Alan Yuille's Computational Cognition, Vision, and Learning lab (CCVL), first at UCLA and from 2016 at Johns Hopkins University after the lab moves. In 2017, he and Yuille publish Genetic CNN at ICCV, which applies a genetic algorithm to learn deep network structures automatically.

  3. January 2019

    Joining Huawei's Noah's Ark Lab

    In January 2019, he starts a new career as a senior researcher at Huawei's Noah's Ark Lab. Computer vision, deep learning and automated machine learning are among his research interests.

  4. 2019

    The CenterNet detector

    CenterNet, coauthored with Kaiwen Duan, Song Bai, Honggang Qi, Qingming Huang and Qi Tian, appears at ICCV in 2019. The detector finds each object as a triplet of keypoints and reaches an AP of 47.0% on MS-COCO, ahead of all existing one-stage detectors by at least 4.9%.

  5. 2019–2020

    Architecture search with PC-DARTS

    With Yuhui Xu and others, he coauthors PC-DARTS in 2019, a method that reaches a 2.57% error rate on CIFAR10 with 0.1 GPU-days of architecture search. In 2020, he is first author of a literature review on weight-sharing neural architecture search, which names the optimization gap between the super-network and the sub-architectures as the major challenge.

  6. 2022–2023

    Pangu-Weather in Nature

    In November 2022, he joins Kaifeng Bi, Hengheng Zhang, Xin Chen, Xiaotao Gu and Qi Tian in presenting Pangu-Weather, a deep-learning system for global weather forecasts. Nature publishes the paper in July 2023, reporting that the program, trained on 39 years of global data, gives stronger deterministic forecasts on reanalysis data than the operational system of the European Centre for Medium-Range Weather Forecasts in all tested variables.

  7. 2024

    The VMamba vision backbone

    VMamba, coauthored with Yue Liu, Yunjie Tian, Yaowei Wang, Qixiang Ye and others, appears at NeurIPS in 2024. The paper adapts the Mamba state-space language model into a vision backbone with linear time complexity.

  8. As of October 2026

    Senior researcher at Huawei

    He is a senior researcher at Huawei. The 2026 paper LongVideo-R1, which trains a multimodal language-model agent to navigate long videos efficiently, lists Huawei Consumer Business Group as his affiliation.

Career

  1. Since 2019HuaweiSenior researcher
  2. 2016–2019Johns Hopkins UniversityPostdoctoral researcher
  3. 2015–2016University of California, Los AngelesPostdoctoral researcher

Education

  1. 2015Tsinghua UniversityPh.D.
  2. 2010Tsinghua UniversityB.E.

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Lingxi Xie. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Huawei. 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. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Huawei. 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.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Johns Hopkins University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Lingxi Xie yet. Send us a free-licensed photo.

  1. Welcome to Lingxi Xie's Homepage! lingxixie.com. Checked 21 October 2026.
  2. Welcome to Lingxi Xie's Homepage! (Biography) lingxixie.com. Checked 21 October 2026.
  3. 物信讲坛第三十八讲“Deep Neural Networks: Recognition, Transfer, and Understanding”-福州大学 fzu.edu.cn. Checked 21 October 2026.
  4. Genetic CNN | ICCV 2017 Open Access Repository openaccess.thecvf.com. Checked 21 October 2026.
  5. CenterNet: Keypoint Triplets for Object Detection | ICCV 2019 Open Access Repository openaccess.thecvf.com. Checked 21 October 2026.
  6. PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search arxiv.org. Checked 21 October 2026.
  7. Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap arxiv.org. Checked 21 October 2026.
  8. Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast arxiv.org. Checked 21 October 2026.
  9. Accurate medium-range global weather forecasting with 3D neural networks | Nature nature.com. Checked 21 October 2026.
  10. VMamba: Visual State Space Model proceedings.neurips.cc. Checked 21 October 2026.
  11. Lingxi Xie (谢凌曦) - Google Scholar scholar.google.com. Checked 21 October 2026.
  12. LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding arxiv.org. Checked 21 October 2026.