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Stephen S.-T. Yau

Stephen S.-T. Yau

D-Index & Metrics

Mathematics

D-Index
36
Citations
5550
World Ranking
2636
National Ranking
135

Overview

Stephen S.-T. Yau is affiliated with Tsinghua University in China. Their research spans multiple fields, including Mathematics, Biochemistry, Genetics and Molecular Biology, and Computer Science. Within these areas, they have contributed extensively to subfields such as Molecular Biology, Artificial Intelligence, Geometry and Topology, Algebra and Number Theory, and Mathematical Physics.

Their work covers several main topics including Target Tracking and Data Fusion in Sensor Networks, Advanced Topics in Algebra, Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Advanced Algebra and Geometry, and Algebraic Geometry and Number Theory.

Yau has published numerous papers in various prominent venues. Recent papers include:

  • kmer2vec: A Novel Method for Comparing DNA Sequences by word2vec Embedding, 2022, Journal of Computational Biology
  • Outlier-Robust Iterative Extended Kalman Filtering, 2023, IEEE Signal Processing Letters
  • Nasopharyngeal carcinoma MHC region deep sequencing identifies HLA and novel non-HLA TRIM31 and TRIM39 loci, 2020, Communications Biology
  • Analysis of the Hosts and Transmission Paths of SARS-CoV-2 in the COVID-19 Outbreak, 2020, Genes
  • Clinical utility of serial analysis of circulating tumour cells for detection of minimal residual disease of metastatic nasopharyngeal carcinoma, 2020, British Journal of Cancer

Their frequent co-authors include Huaiqing Zuo, Jiayi Kang, Naveed Hussain, Xiuqiong Chen, and Yangtianze Tao.

Yau's publications appear notably in arXiv (Cornell University) with 12 works, IEEE Transactions on Automatic Control with 7 works, Communications in Information and Systems with 6 works, Genes with 5 works, and Asian Journal of Mathematics with 5 works.

They have authored books published by Springer Nature, including "Mathematical Principles in Bioinformatics" (2023) and "Principles of Nonlinear Filtering Theory" (2024).

Best Publications

  • Classification of isolated hypersurface singularities by their moduli algebras

    John N. Mather;John N. Mather;Stephen S. T. Yau;Stephen S. T. Yau

  • Optimal fast tracking observer bandwidth of the linear extended state observer

    Dongchul Yoo;Stephen S.-T. Yau;Zhiqiang Gao

  • An estimate of the gap of the first two eigenvalues in the Schrödinger operator

    I. M. Singer;Bun Wong;Shing-Tung Yau;Stephen S.-T. Yau

  • DNA sequence representation without degeneracy

    Stephen S T Yau;Jiasong Wang;Amir Niknejad;Chaoxiao Lu

  • Gorenstein Quotient Singularities in Dimension Three

    Stephen Shing-Toung Yau;Yung Yu

  • On a necessary and sufficient condition for finite dimensionality of estimation

    Luen-Fai Tam;Wing Shing Wong;Stephen S. T. Yau

  • A Fourier Characteristic of Coding Sequences: Origins and a Non-Fourier Approximation

    Changchuan Yin;Stephen S.-T. Yau

  • Kohn-Rossi Cohomology and its Application to the Complex Plateau Problem, I

    Stephen S.-T. Yau

  • Numerical encoding of DNA sequences by chaos game representation with application in similarity comparison.

    Tung Hoang;Changchuan Yin;Stephen S.-T. Yau

  • On maximally elliptic singularities

    Stephen Shing Toung Yau

  • Optimal control of the Liouville equation

    Stephen Yau;Zhijie Chen;Jianpan Wang;Sheng-Li Tan

  • A new method to cluster DNA sequences using Fourier power spectrum.

    Tung Hoang;Changchuan Yin;Hui Zheng;Chenglong Yu

  • A measure of DNA sequence similarity by Fourier Transform with applications on hierarchical clustering

    Changchuan Yin;Ying Chen;Stephen S.-T. Yau

  • Real Time Classification of Viruses in 12 Dimensions

    Chenglong Yu;Troy Hernandez;Hui Zheng;Shek Chung Yau

  • A Novel Construction of Genome Space with Biological Geometry

    Chenglong Yu;Qian Liang;Changchuan Yin;Rong L. He

  • A protein map and its application

    Stephen S.-T. Yau;Stephen S.-T. Yau;Chenglong Yu;Rong He

  • Efficient association rule mining among both frequent and infrequent items

    Ling Zhou;Stephen Yau

  • DNA sequence comparison by a novel probabilistic method

    Chenglong Yu;Mo Deng;Stephen S. T. Yau

  • Structure and classification theorems of finite-dimensional exact estimation algebras

    Rui-Tao Dong;Luen-Fai Tam;Wing Shing Wong;Stephen S.-T. Yau

  • More explicit formulas for the matrix exponential

    Hon-Wing Cheng;Stephen S.-T. Yau

Frequent Co-Authors

Shing-Tung Yau
Shing-Tung Yau Tsinghua University
Jie Yang
Jie Yang RMIT University
Shi-Kuo Chang
Shi-Kuo Chang University of Pittsburgh
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
John N. Mather
John N. Mather Princeton University
Tomasz R. Bielecki
Tomasz R. Bielecki Illinois Institute of Technology
Zhiqiang Gao
Zhiqiang Gao Cleveland State University
Jie Huang
Jie Huang Chinese University of Hong Kong
Hong Zheng
Hong Zheng Beijing University of Technology
Raymond H. Chan
Raymond H. Chan Lingnan University

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