---
title: "Lingxi Xie · Huawei Technologies — author profile and papers"
description: "Lingxi Xie, Huawei Technologies: 3 papers on Elamur Research (2019–2023), h-index 60 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/lingxi-xie/"
---
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# Lingxi Xie

Lingxi Xie has 3 papers in our library, in 2019–2023; often with [Qi Tian](https://md.research.elamur.ai/free/en/authors/qi-tian/), [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/), [Wei Wei](https://md.research.elamur.ai/free/en/authors/wei-wei/).

3 papers in our library · 2019–2023

[OpenAlex](https://openalex.org/A5075290241) · [ORCID](https://orcid.org/0000-0003-4831-9451) · [Wikidata](https://www.wikidata.org/wiki/Q120965644) · [**h-index 60**](https://openalex.org/authors/A5075290241) · [224 works](https://openalex.org/works?filter=author.id:A5075290241) · [20,706 citations](https://openalex.org/works?filter=author.id:A5075290241&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lingxi-xie/#papers) · [🔗 Cited 352 times in our library](https://md.research.elamur.ai/free/en/authors/lingxi-xie/cited-by/) · [15 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1791](https://md.research.elamur.ai/free/en/paper-stars/page/18/#star-1791)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lingxi+Xie) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lingxi+Xie) · [dblp](https://dblp.org/search?q=Lingxi+Xie) · [ACL Anthology](https://aclanthology.org/search/?q=Lingxi+Xie)

## Affiliations

[🏢**Huawei Technologies** Shenzhen · China 2018–2026 · 117 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Johns Hopkins University** Baltimore · United States 2016–2023 · 44 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Tsinghua University** Beijing · China 2009–2021 · 18 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**State Key Laboratory of Intelligent Technology and Systems** Beijing · China 2013–2015 · 6 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2015–2020 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Engineering · 2 works](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Mechanics · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/computational-mechanics/) · [Computer Graphics and Computer-Aided Design · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-graphics-and-computer-aided-design/) · [Atmospheric Science · 1 work](https://md.research.elamur.ai/free/en/shelves/earth-and-planetary-sciences/atmospheric-science/) · [Building and Construction · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/building-and-construction/) · [Earth and Planetary Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/earth-and-planetary-sciences/) · [Environmental Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/environmental-science/environmental-engineering/) · [Environmental Science · 1 work](https://md.research.elamur.ai/free/en/shelves/environmental-science/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/lingxi-xie/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/lingxi-xie/year/2022/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/lingxi-xie/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://md.research.elamur.ai/free/en/papers/wu-2023-4d-gaussian-splatting-real-time/)** *(2023 · 887 citations)* Rendering dynamic scenes from new viewpoints and timestamps is hard to do both accurately and quickly. NeRF-style methods remain slow at render time. The obvious extension of 3D Gaussian Splatting (3D-GS) is to fit separate Gaussians for every frame, as Dynamic3DGS does, but then storage grows with sequence length.…
2. **[Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation](https://md.research.elamur.ai/free/en/papers/chen-2019-progressive-differentiable-architecture-search-bridging/)** *(2019 · 732 citations)* Differentiable NAS methods such as DARTS cut search costs a lot, but the cells they find often lose accuracy when used in the final model or moved to another dataset.
3. **[Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast](https://md.research.elamur.ai/free/en/papers/bi-2022-pangu-weather-3d-high/)** *(2022 · 133 citations)* Numerical weather prediction (NWP) solves physical equations on supercomputers. It is slow, which limits timeliness and ensemble size, and its parameterizations introduce errors. Earlier deep learning forecasters such as FourCastNet were fast but less accurate than ECMWF's operational IFS.

## All works

18 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[CenterNet: Keypoint Triplets for Object Detection ↗](https://doi.org/10.1109/iccv.2019.00667) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kaiwen Duan et al.*2019 · 3,627 citations*
2. **[VMamba: Visual State Space Model ↗](https://doi.org/10.52202/079017-3273) neural information processing systems · no summary yet**Yue Liu et al.*2024 · 1,356 citations*
3. **[4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://md.research.elamur.ai/free/en/papers/wu-2023-4d-gaussian-splatting-real-time/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Guanjun Wu, Taoran Yi, Jiemin Fang, et al.*2023 · 887 citations*
4. **[Conformer: Local Features Coupling Global Representations for Visual Recognition ↗](https://doi.org/10.1109/iccv48922.2021.00042) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zhiliang Peng et al.*2021 · 836 citations*
5. **[Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation](https://md.research.elamur.ai/free/en/papers/chen-2019-progressive-differentiable-architecture-search-bridging/) [IEEE/CVF International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/)**Xin Chen, Lingxi Xie, Jun Wu, et al.*2019 · 732 citations*
6. **[SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images ↗](https://doi.org/10.1109/cvpr.2019.00222) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Caijing Miao et al.*2019 · 363 citations*
7. **[Attention-Guided Unified Network for Panoptic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00719) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yanwei Li et al.*2019 · 270 citations*
8. **[Visformer: The Vision-friendly Transformer ↗](https://doi.org/10.1109/iccv48922.2021.00063) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zhengsu Chen et al.*2021 · 257 citations*
9. **[Snapshot Distillation: Teacher-Student Optimization in One Generation ↗](https://doi.org/10.1109/cvpr.2019.00297) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chenglin Yang et al.*2019 · 218 citations*
10. **[DisturbLabel: Regularizing CNN on the Loss Layer ↗](https://doi.org/10.1109/cvpr.2016.514) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lingxi Xie et al.*2016 · 213 citations*
11. **[Conformer: Local Features Coupling Global Representations for Recognition and Detection ↗](https://doi.org/10.1109/tpami.2023.3243048) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Zhiliang Peng et al.*2023 · 188 citations*
12. **[GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models ↗](https://arxiv.org/abs/2310.08529) arXiv:2310.08529 · no summary yet**Taoran Yi et al.*2023 · 170 citations*
13. **[Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students ↗](https://doi.org/10.1609/aaai.v33i01.33015628) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chenglin Yang et al.*2019 · 143 citations*
14. [**Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast arXiv:2211.02556**Kaifeng Bi, Lingxi Xie, Hengheng Zhang, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/bi-2022-pangu-weather-3d-high/)
15. **[GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions ↗](https://arxiv.org/abs/2311.16037) arXiv:2311.16037 · no summary yet**Junjie Wang et al.*2023 · 106 citations*
16. **[Progressive Instance-Aware Feature Learning for Compositional Action Recognition ↗](https://doi.org/10.1109/tpami.2023.3261659) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Rui Yan et al.*2023 · 95 citations*
17. **[Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap ↗](https://doi.org/10.1145/3473330) ACM Computing Surveys · no summary yet**Lingxi Xie et al.*2021 · 93 citations*
18. **[MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens ↗](https://arxiv.org/abs/2105.15168) arXiv:2105.15168 · no summary yet**Jiemin Fang et al.*2021 · 85 citations*

## Co-authors here

6 co-authors with a page, the most papers together first.

- [Qi Tian](https://md.research.elamur.ai/free/en/authors/qi-tian/) ×3
- [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/) ×2
- [Wei Wei](https://md.research.elamur.ai/free/en/authors/wei-wei/)
- [Wenyu Liu](https://md.research.elamur.ai/free/en/authors/wenyu-liu/)
- [Xiaotao Gu](https://md.research.elamur.ai/free/en/authors/xiaotao-gu/)
- [Xinggang Wang](https://md.research.elamur.ai/free/en/authors/xinggang-wang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [IEEE/CVF International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/) ×4: [ICCV 2019](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2019/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×4
- IEEE Transactions on Pattern Analysis and Machine Intelligence ×2
- [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/): [IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/)
- ACM Computing Surveys
- Proceedings of the AAAI Conference on Artificial Intelligence
- neural information processing systems

## Cited by

Papers of our library cite their works 352 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lingxi-xie/cited-by/).

Updated 2 November 2026