The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tsung-Yi Lin sits on this spectrum.
This scientist: 48 publications — 1st percentile
1% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tsung-Yi Lin sits on this spectrum.
This scientist: 30 D-Index — 3rd percentile
3% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Tsung-Yi Lin is affiliated with Nvidia in the United States. Their research encompasses fields primarily within Computer Science and Engineering, with a substantial focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence. Additional subfields include Computational Mechanics, Aerospace Engineering, and Geology.
The scientist's work covers a variety of topics including Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Vision and Imaging, 3D Shape Modeling and Analysis, Robotics and Sensor-Based Localization, and Advanced Image and Video Retrieval Techniques.
Among their recent research outputs are:
Tsung-Yi Lin collaborates frequently with several researchers, including Anelia Angelova, Weicheng Kuo, Yin Cui, Golnaz Ghiasi, and Barret Zoph. These partnerships have contributed to multiple publications in leading venues.
Their work is published notably in arXiv (Cornell University), accounting for a significant number of contributions, alongside appearances in conferences such as the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Other publication venues include Lecture Notes in Computer Science and IEEE Robotics and Automation Letters.
Tsung-Yi Lin;Michael Maire;Serge J. Belongie;James Hays
Tsung-Yi Lin;Piotr Dollar;Ross Girshick;Kaiming He
Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He
Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He
Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev
Yin Cui;Menglin Jia;Tsung-Yi Lin;Yang Song
Xinlei Chen;Hao Fang;Tsung-Yi Lin;Ramakrishna Vedantam
Golnaz Ghiasi;Tsung-Yi Lin;Quoc V. Le
Aravind Srinivas;Tsung-Yi Lin;Niki Parmar;Jonathon Shlens
Pedro Oliveira Pinheiro;Pedro Oliveira Pinheiro;Tsung-Yi Lin;Tsung-Yi Lin;Ronan Collobert;Piotr Dollár
Golnaz Ghiasi;Yin Cui;Aravind Srinivas;Rui Qian
Golnaz Ghiasi;Tsung-Yi Lin;Quoc V. Le
Cheng-Kang Hsieh;Longqi Yang;Yin Cui;Tsung-Yi Lin
Barret Zoph;Ekin D. Cubuk;Golnaz Ghiasi;Tsung-Yi Lin
Golnaz Ghiasi;Tsung-Yi Lin;Ruoming Pang;Quoc V. Le
Tsung-Yi Lin;Yin Cui;Serge Belongie;James Hays
Barret Zoph;Golnaz Ghiasi;Tsung-Yi Lin;Yin Cui
Lin Yen-Chen;Pete Florence;Jonathan T. Barron;Alberto Rodriguez
Tsung-Yi Lin;Serge Belongie;James Hays
Xiuye Gu;Tsung-Yi Lin;Weicheng Kuo;Yin Cui
Tsung-Yi Lin;Yin Cui;Serge Belongie;James Hays
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens the door to a variety of related online degrees and career paths. Many students choose to specialize further or boost their credentials with additional qualifications.
Those interested in data-driven careers may explore the cheapest data science degree programs, which offer budget-friendly opportunities to build in-demand analytical skills. For technology enthusiasts, the best online electrical engineering programs USA provide a practical route to careers in hardware, robotics, and innovation.
If fast career advancement is your goal, you may want to consider certifications that pay well, which can be completed quickly and boost your earning potential without a long-term commitment. Similarly, the shortest masters degree programs empower professionals to earn a graduate credential in less time, making them an efficient way to stand out in the job market.
Exploring these options can help you create a flexible and future-proof career pathway in technology.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 88
University of Johannesburg
HudsonAlpha Institute for Biotechnology
University of Trento
Bar-Ilan University
University of Naples Federico II
University College London
University of Birmingham
University of California, Santa Barbara
University of Namur
University of Liverpool
University of Konstanz
Asian University
Microsoft (United States)
University of Münster
University of Tasmania
International Islamic University, Islamabad
