Liang Lin
Also known as 林倞, Lin Liang
Liang Lin is a computer-vision researcher whose papers include work on domain adaptation and vision-language-action models. He led SenseTime Group's research as Executive Director and Distinguished Scientist from 2016 to 2018. A coauthored paper received an ICCV best-paper nomination in 2019; he became an IAPR Fellow in 2022 and an IEEE Fellow in 2024. Since 2025, he has led embodied-intelligence research at JD Explore Academy, and in 2026 he coauthored a paper on language robustness in robot control.
- Now at
- JD Explore Academy and Sun Yat-sen University
- Works
- 571
- Citations
- 31,885
- h-index
- 91
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
-
2012
A Google Faculty Award
He receives a Google Faculty Award in 2012.
-
2016–2018
Leading SenseTime research
He serves as the Executive Director and Distinguished Scientist of SenseTime Group from 2016 to 2018.
-
2019
An ICCV paper nomination
His coauthored paper “Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation” receives an ICCV best-paper nomination in 2019.
-
2022
An IAPR fellowship
IAPR names him a Fellow in 2022 for his contributions to computational models for visual pattern matching and understanding.
-
2024
An IEEE fellowship
IEEE names him an IEEE Fellow in 2024.
-
Since 2025
Leading embodied AI at JD
In August 2025, he joins JD Explore Academy as its lead researcher for embodied AI while serving as a professor at Sun Yat-sen University. In 2026, he coauthors “Stable Language Guidance for Vision–Language–Action Models,” which studies language perturbations in robotic control.
Sources and credits
Photo: We have no published photo of Liang Lin yet. Send us a free-licensed photo.