2018 - IEEE Fellow For contributions to sustainable and power-efficient computer architectures
2016 - Fellow of the American Mathematical Society For contributions to low-dimensional topology, especially the topology of three-manifolds.
His main research concerns Artificial intelligence, Optics, Data mining, Optoelectronics and Cluster analysis. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. Plasmon, Laser, Achromatic lens, Chromatic aberration and Diffraction are among the areas of Optics where Tao Li concentrates his study.
His Plasmon research includes elements of Excitation and Metamaterial. His research in Data mining tackles topics such as Malware which are related to areas like Naive Bayes classifier. The various areas that Tao Li examines in his Cluster analysis study include Matrix decomposition and Non-negative matrix factorization.
Tao Li mostly deals with Optics, Optoelectronics, Artificial intelligence, Data mining and Laser. He studies Optics, focusing on Plasmon in particular. His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
Data mining is often connected to Cluster analysis in his work. Specifically, his work in Cluster analysis is concerned with the study of Correlation clustering. His biological study spans a wide range of topics, including Pulse-width modulation and Power.
His primary areas of investigation include Optoelectronics, Cancer research, Catalysis, Chemical engineering and Cell biology. His Optoelectronics study typically links adjacent topics like Laser. His Laser study contributes to a more complete understanding of Optics.
His biological study focuses on Hepatocellular carcinoma. His research is interdisciplinary, bridging the disciplines of NOx and Catalysis. His Chemical engineering study typically links adjacent topics like Photocatalysis.
His scientific interests lie mostly in Catalysis, Chemical engineering, Cell biology, Cancer research and Optoelectronics. Tao Li combines subjects such as Inorganic chemistry, NOx and Adsorption with his study of Catalysis. His study in Chemical engineering is interdisciplinary in nature, drawing from both Photocatalysis, Nickel and Nucleation.
His Cancer research study which covers Downregulation and upregulation that intersects with Mitochondrial fission. Tao Li focuses mostly in the field of Optoelectronics, narrowing it down to matters related to Laser and, in some cases, Wavelength and Pulse-width modulation. Optics covers Tao Li research in Saturable absorption.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Orthogonal nonnegative matrix t-factorizations for clustering
Chris Ding;Tao Li;Wei Peng;Haesun Park.
knowledge discovery and data mining (2006)
Convex and Semi-Nonnegative Matrix Factorizations
C.H.Q. Ding;Tao Li;M.I. Jordan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)
A broadband achromatic metalens in the visible
Shuming Wang;Pin Chieh Wu;Vin Cent Su;Yi Chieh Lai.
Nature Nanotechnology (2018)
A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
Tao Li;Chengliang Zhang;Mitsunori Ogihara.
Sequence and analysis of rice chromosome 4
Qi Feng;Yujun Zhang;Pei Hao;Shengyue Wang.
Broadband achromatic optical metasurface devices
Shuming Wang;Pin Chieh Wu;Pin Chieh Wu;Vin Cent Su;Yi Chieh Lai.
Nature Communications (2017)
A comparative study on content-based music genre classification
Tao Li;Mitsunori Ogihara;Qi Li.
international acm sigir conference on research and development in information retrieval (2003)
Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises
Tao Li;Ji-Feng Zhang.
IEEE Transactions on Automatic Control (2010)
Genome-wide association study identifies eight new risk loci for polycystic ovary syndrome
Yongyong Shi;Han Zhao;Yuhua Shi;Yunxia Cao.
Nature Genetics (2012)
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