Jindong Gu

I am a Postdoc at University of Oxford, working with Prof. Philip H. S. Torr. Prior to that, I received my Ph.D. Degree from University of Munich in 2022, advised by Prof. Volker Tresp.
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.

News

• 07 / 2023:   Three papers on VLM Understanding and Robustness have been accepted to ICCV 2023.
• 05 / 2023:   Selected as CVPR 2023 Outstanding Reviewer.
• 05 / 2023:   One paper has been accepted to ACL Findings 2023.
• 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 ML 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.

Experience

• 11 / 2022 - present:   Postdoctoral Researcher at University of Oxford, Oxford, UK
• 08 / 2022 - 11 / 2022:   Research Intern at Google, 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