Dr. Li (Luis) LI
Postdoc @ King's College London    âąÂ    PhD @ Durham University
King's College London (KCL)    âąÂ    King's Laboratory for Intelligent Computing (KLIC)
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I am a postdoctoral researcher in the Kingâs Laboratory for Intelligent Computing (KLIC) at Kingâs College London, working with Prof Bipin Rajendran. My research interest is on analog in-memory-computing (AIMC) and hardware acceleration algorithms for artificial intelligence.
Before that, I completed my PhD in Computer Science at Durham University, supervised by Prof Toby Breckon and Prof Hubert P. H. Shum. My research pursues to better 3D perception and semantic scene understanding based on computer vision and deep learning. I was awarded as the runner-up for the 2024 BMVA Sullivan Doctoral Thesis Prize in recognition of my contributions to computer vision research in the UK.
Prior to Durham, I received my bachelorâs degree in Telecommunications Engineering at Nanjing University of Science and Technology (NJUST) in 2020. In NJUST, I worked on semantic scene understanding for UAVs and UGVs with Prof Hong Gu.
As an enthusiast of open source projects, I maintain and contribute to a number of open source repositories Follow @l1997i.
I am incredibly thankful to my supervisors and collaborators, and enjoy exploring new domains through collaborations. If you have questions or would like to work together, please feel free to reach out through email or grab some time with me for an appointment either online or in person.
News
Selected Publications
Academic Services
Conference Reviewer
- IEEE/CVF International Conference on Computer Vision (ICCV) - 2023
- Conference on Neural Information Processing Systems (NeurIPS) - 2023, 2024
- International Conference on Learning Representations (ICLR) - 2024, 2025
- Artificial Intelligence and Statistics (AISTATS) - 2025
- The British Machine Vision Conference (BMVC) - 2024
- International Conference on Pattern Recognition (ICPR) - 2022, 2024
Journal Reviewer
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- Pattern Recognition (PR)
- IEEE Robotics and Automation Letters (RA-L)