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 Dar-Shyang Lee sits on this spectrum.
This scientist: 76 publications — 3rd percentile
3% 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 Dar-Shyang Lee sits on this spectrum.
This scientist: 47 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Dar-Shyang Lee is a researcher affiliated with Google in the United States. Their work spans multiple fields of study, focusing primarily on computer science alongside contributions to biochemistry, genetics, and molecular biology.
The main areas of their research include artificial intelligence, computer vision and pattern recognition, and cancer research. Their work encompasses topics such as domain adaptation and few-shot learning, multimodal machine learning applications, and cancer-related molecular mechanisms.
Recent publications demonstrate a focus on domain adaptation methodologies. Notably, Lee co-authored the paper titled Domain Conditional Predictors for Domain Adaptation, published in 2021 in arXiv (Cornell University).
Frequent co-authors include João Monteiro, Xavier Gibert, Jianqiao Feng, and Vincent Dumoulin, indicating collaborative work in related research areas.
Lee's publications have appeared in venues such as arXiv (Cornell University), reflecting engagement with open-access research dissemination platforms.
Their research integrates techniques from artificial intelligence and machine learning to address challenges in both computational and biomedical domains. This interdisciplinary approach bridges system-level computational methods with molecular biology, particularly in exploring cancer-related mechanisms.
Dar-Shyang Lee
Dar-Shyang Lee;Jonathan J. Hull;Jamey Graham;Pamela Gage
Jonathan J. Hull;Berna Erol;Jamey Graham;Peter E. Hart
Berna Erol;Jamey Graham;Jonathan J. Hull;Dar-Shyang Lee
Shan Rii Daa;Jamey Graham;Jonathan J Hull;Hideki Segawa
Erol Berna;Hull Jonathan J;Daa Shan Rii
Jonathan J. Hull;Berna Erol;Jamey Graham;Peter E. Hart
Dar-Shyang Lee;Johnathan Hull
Zbigniew Wojna;Alexander N. Gorban;Dar-Shyang Lee;Kevin Murphy
Dar-Shyang Lee;J.J. Hull;B. Erol
Ray Smith;Daria Antonova;Dar-Shyang Lee
David Petrou;Zak Cohen;Pin Ting;Dar-Shyang Lee
Jonathan J. Hull;Berna Erol;Peter E. Hart;Dar-Shyang Lee
Erol Berna;Hull Jonathan J;Daa Shan Rii
Berna Erol;Jonathan J. Hull;Dar-Shyang Lee
Dar-Shyang Lee;S.N. Srihari
Jonathan J. Hull;Berna Erol;Jamey Graham;Peter E. Hart
Berna Erol;Jonathan J. Hull;Dar-Shyang Lee
Jonathan J. Hull;Kurt Piersol;Berna Erol;Peter E. Hart
J.J. Hull;B. Erol;J. Graham;Dar-Shyang Lee
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Chinese Academy of Sciences
University of Stuttgart
Nanyang Technological University
Federal University of Toulouse Midi-Pyrénées
University College Dublin
QIMR Berghofer Medical Research Institute
Shanghai Normal University
University of Cologne
Pennsylvania State University
University of Manchester
Queen's University Belfast
University of Edinburgh
University of Science and Technology of China
Lanzhou University
Leverhulme Trust
University of Leeds
