Enze Xie
Also known as 谢恩泽
Enze Xie is a computer-vision researcher whose work spans image segmentation and efficient generative models. He joined HKU MMLab as a PhD student in October 2019, earned a PhD in computer science at the University of Hong Kong in August 2022, and joined Huawei Noah's Ark Lab as a generative AI research lead. He coauthored PolarMask and SegFormer, SANA 1.5 for text-to-image generation, and LongLive-2.0 for long-video generation. As of October 2026, he is a Senior Research Scientist at NVIDIA Research and a visiting researcher at MIT HAN Lab, focused on efficient video-generation pre-training, post-training and acceleration.
- Now at
- NVIDIA and Massachusetts Institute of Technology
- Works
- 127
- Citations
- 21,371
- h-index
- 38
- Badges
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2019–2022
A PhD at HKU
In October 2019, he joins HKU MMLab as a PhD student. He earns a PhD in computer science at the University of Hong Kong in August 2022, advised by Ping Luo and co-advised by Wenping Wang.
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2020
PolarMask at CVPR
In 2020, he coauthors PolarMask, a single-shot instance-segmentation method that predicts object contours through center classification and distance regression in polar coordinates.
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2021
SegFormer at NeurIPS
At NeurIPS in 2021, he coauthors SegFormer, a semantic-segmentation framework with a hierarchical Transformer encoder and a lightweight MLP decoder.
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August 2022
Research lead at Huawei
In August 2022, he joins Huawei Noah's Ark Lab as a researcher and generative AI research lead.
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April 2024
Back to NVIDIA Research
In April 2024, he returns to NVIDIA Research and joins its Efficient AI team.
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2025
SANA 1.5 at ICML
At ICML in 2025, he coauthors SANA 1.5, a linear Diffusion Transformer for efficient scaling in text-to-image generation.
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2026
LongLive-2.0 for video
In 2026, he coauthors LongLive-2.0, an NVFP4-based parallel infrastructure for training and inference in long-video generation.
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As of October 2026
Senior Research Scientist at NVIDIA
He is a Senior Research Scientist at NVIDIA Research and a visiting researcher at MIT HAN Lab. His current research focuses on efficient video-generation pre-training, post-training and acceleration.
Career
- Since 2024NVIDIASenior Research Scientist
- NowMassachusetts Institute of TechnologyVisiting researcher
- 2022–2024HuaweiGenerative AI Research Lead
- 2022–2024Chinese Academy of Sciences
Education
- 2022University of Hong KongPhD
Sources and credits
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- Enze Xie (谢恩泽)
- Enze Xie | Efficient AI
- PolarMask: Single Shot Instance Segmentation With Polar Representation
- SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
- SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
- LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation
- Enze Xie | Research

