Yixuan Wei
Also known as 韦毅轩, Eason Wei
Yixuan Wei co-wrote computer-vision papers on Swin Transformer models and language-image pretraining, as well as an alignment paper for large language models. They studied automation at Tsinghua University from September 2016. In 2019 they co-wrote DeepHuman, a framework for 3D human reconstruction from a single RGB image. Swin Transformer, which they co-wrote, received the ICCV 2021 Best Paper award, known as the Marr Prize. Swin Transformer V2 and Video Swin Transformer followed as CVPR 2022 papers, iCLIP appeared at CVPR 2023, and Xwin-LM was published in May 2024.
- Works
- 73
- Citations
- 40,390
- h-index
- 23
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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September 2016
Automation studies at Tsinghua
They study automation at Tsinghua University from September 2016.
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2019
The DeepHuman framework
They co-write DeepHuman in 2019, a framework for 3D human reconstruction from a single RGB image.
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2021
Swin Transformer and the Marr Prize
They co-write Swin Transformer, which wins the ICCV 2021 Best Paper award, known as the Marr Prize.
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2022
Swin Transformer V2 at CVPR
They co-write Swin Transformer V2: Scaling Up Capacity and Resolution, a CVPR 2022 paper.
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2022
Video Swin Transformer at CVPR
They co-write Video Swin Transformer, a CVPR 2022 paper.
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2023
iCLIP at CVPR 2023
They co-write iCLIP, which combines image classification with contrastive language-image pre-training, at CVPR 2023.
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May 2024
Xwin-LM for LLM alignment
They co-write Xwin-LM, a paper on strong and scalable alignment practice for LLMs, published in May 2024.
Sources and credits
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- Yixuan(Eason) Wei
- [1903.06473] DeepHuman: 3D Human Reconstruction from a Single Image
- [2103.14030] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows - Microsoft Research
- ICCV 2021 PAPER AWARDS | ICCV 2021
- CVPR 2022 Open Access Repository
- CVPR 2022 Open Access Repository
- CVPR 2023 Open Access Repository
- iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition - Microsoft Research
- [2405.20335] Xwin-LM: Strong and Scalable Alignment Practice for LLMs
- Paper page - Xwin-LM: Strong and Scalable Alignment Practice for LLMs