Liang-Chieh Chen is affiliated with ByteDance in China and has a substantial publication record primarily focused on computer science. Their research is concentrated in the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.
The scientist has published extensively, with frequent contributions to venues such as arXiv (Cornell University), where they have authored 31 papers. Additionally, they have published work in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and the International Journal of Computer Vision, as well as a contribution to TIB Data Manager.
Key research topics covered in their work include:
Recent publications by Liang-Chieh Chen include:
The scientist frequently collaborates with other researchers. Their most common co-authors are Qihang Yu, Hartwig Adam, Alan Yuille, Huiyu Wang, and Siyuan Qiao.
Mark Sandler;Andrew Howard;Menglong Zhu;Andrey Zhmoginov
Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy
Liang-Chieh Chen;Yukun Zhu;George Papandreou;Florian Schroff
Liang-Chieh Chen;George Papandreou;Florian Schroff;Hartwig Adam
Andrew Howard;Ruoming Pang;Hartwig Adam;Quoc Le
Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy
Liang-Chieh Chen;Yi Yang;Jiang Wang;Wei Xu
George Papandreou;Liang-Chieh Chen;Kevin P. Murphy;Alan L. Yuille
Chenxi Liu;Liang-Chieh Chen;Florian Schroff;Hartwig Adam
Siyuan Qiao;Liang-Chieh Chen;Alan Yuille
Andrew Howard;Andrey Zhmoginov;Liang-Chieh Chen;Mark Sandler
Huiyu Wang;Yukun Zhu;Bradley Green;Hartwig Adam
Andrew Howard;Mark Sandler;Grace Chu;Liang-Chieh Chen
Bowen Cheng;Maxwell D. Collins;Yukun Zhu;Ting Liu
George Papandreou;Tyler Zhu;Liang-Chieh Chen;Spyros Gidaris
Huiyu Wang;Yukun Zhu;Hartwig Adam;Alan Yuille
George Papandreou;Liang-Chieh Chen;Kevin Murphy;Alan L. Yuille
Paul Voigtlaender;Yuning Chai;Florian Schroff;Hartwig Adam
Liang-Chieh Chen;Alexander Hermans;George Papandreou;Florian Schroff
Liang-Chieh Chen;Jonathan T. Barron;George Papandreou;Kevin Murphy
If you think any of the details on this page are incorrect, let us know.
If you’re considering studying Computer Science in the USA, a variety of online degrees and credentials can open doors to high-paying tech careers. Entry-level professionals often start with online associate degree programs. These programs cover computer fundamentals and can be completed quickly, providing a cost-effective pathway to the workforce or further study.
Another popular option is pursuing easy licenses and certifications to get. These certifications focus on practical, in-demand skills like cybersecurity, cloud computing, or programming, and can rapidly boost employability even for those who already have a degree.
For those looking to advance their expertise, the shortest master degree programs offer a way to quickly upskill and become competitive in a growing job market. Speed and flexibility are key, as these programs are designed for working professionals.
It’s also crucial to choose degrees that offer a strong return on investment. Focus on masters degrees that are worth it—such as those in artificial intelligence, data science, or information technology—to maximize your career potential.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 115
CVD Equipment Corporation
City University of Hong Kong
University of Hawaii at Manoa
Utrecht University
Friedrich-Loeffler-Institut
Beijing Normal University
University of California, Davis
Centre national de la recherche scientifique, CNRS
University of Potsdam
Rockefeller University
University of Waterloo
Hong Kong University of Science and Technology
University of Essex
Seattle Children's Hospital
University of Erlangen-Nuremberg
