Jindong Gu
Postdoctoral Researcher, University of Oxford

I am a Postdoc at University of Oxford, working with
My research goal is to build Reliable AI by making AI models explainable, robust, and efficient. Especially, I am interested in robust vision models, vision-language models, and generative vision models.
[Hiring!] I am looking for visiting students/interns for our group in the area of robustness.
Please drop me an email (jindong DOT gu AT outlook DOT com) if interested.
News
- 02 / 2023: One paper has been accepted to CVPR 2023.
- 11 / 2022: I join Torr Vision Group as Postdoctoral Researcher at University of Oxford.
- 08 / 2022: I join Google Responsible AI Team as a Research Intern.
- 07 / 2022: Four papers on Robustness of Vision Systems have been accepted to ECCV 2022.
- 04 / 2021: I join Microsoft Research Asia as a Research Intern.
- 03 / 2021: One paper has been accepted as oral to CVPR 2021.
- 01 / 2021: One paper has been accepted to ICLR 2021.
- 10 / 2020: I join Tencent AI Lab as a Research Intern.
Education
- 09 / 2017 - 10 / 2022: Ph.D. Degree, Computer Science in University of Munich
- 03 / 2022 - 08 / 2022: Visiting Ph.D. Student, Engineering Science in University of Oxford
- 04 / 2016 - 07 / 2017: Master Degree, Computer Science in University of Munich
- 09 / 2011 - 03 / 2016: Double Bachelor Degrees, University of Wuppertal and Wuhan University
Experience
- 11 / 2022 - present: Postdoctoral Researcher at University of Oxford, Oxford, UK
- 08 / 2022 - 11 / 2022: Research Intern at Google Brain, New York, USA
- 04 / 2021 - 02 / 2022: Research Intern at Microsoft Research Asia, Beijing, China
- 08 / 2020 - 03 / 2021: Research Intern at Tencent AI Lab, Shenzhen, China
- 09 / 2017 - 08 / 2020: Doctoral Researcher at Siemens Technology, Munich, Germany
Selected Publications
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Preprint, 2022
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European Conference on Computer Vision (ECCV) , 2022
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SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness [PDF]European Conference on Computer Vision (ECCV) , 2022
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Towards Efficient Adversarial Training on Vision Transformers [PDF]European Conference on Computer Vision (ECCV) , 2022
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European Conference on Computer Vision (ECCV) , 2022
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Workshop in ICCV , 2021
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
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International Conference on Learning Representations (ICLR) , 2021
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AAAI Conference on Artificial Intelligence (AAAI) , 2021
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Improving the Robustness of Capsule Networks to Image Affine Transformations [PDF]IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2020
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European Conference on Artificial Intelligence (ECAI) , 2020
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Saliency Methods for Explaining Adversarial Attacks [PDF]Human-Centric Machine Learning Workshop in NeurIPS , 2019
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Asian Conference on Computer Vision (ACCV), 2018
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