Siu-Ming Yiu spends much of his time researching Computer security, Genome, Data mining, Genetics and Sequence assembly. His Computer security research includes themes of Verifiable secret sharing and Digital signature. His Genome study frequently draws connections between related disciplines such as Computational biology.
His biological study spans a wide range of topics, including Pattern matching, Short read, splice, Search engine indexing and Splice junction. His work on Sequence assembly is being expanded to include thematically relevant topics such as Parallel computing. His research integrates issues of Metagenomics, Error detection and correction and Genomics in his study of Contig.
His main research concerns Computer security, Encryption, Algorithm, Data mining and Artificial intelligence. His Computer security research is multidisciplinary, incorporating elements of Scheme and Computer network. His research ties Vehicular ad hoc network and Computer network together.
His Encryption study combines topics from a wide range of disciplines, such as Cloud computing, Server and Theoretical computer science. Siu-Ming Yiu combines subjects such as Genome and Protein secondary structure with his study of Algorithm. The study incorporates disciplines such as Identification, Machine learning and Pattern recognition in addition to Artificial intelligence.
Siu-Ming Yiu mainly focuses on Artificial intelligence, Computer security, Encryption, Machine learning and Cloud computing. His research investigates the connection between Computer security and topics such as Scheme that intersect with issues in Big data and Theoretical computer science. His Encryption research is multidisciplinary, relying on both Data mining and Server.
Siu-Ming Yiu works mostly in the field of Data mining, limiting it down to topics relating to Support vector machine and, in certain cases, Industrial control system. Siu-Ming Yiu interconnects Adversarial system and Set in the investigation of issues within Machine learning. His Cloud computing research incorporates elements of Distributed database, Cryptography, Cluster analysis, Information privacy and Computer security model.
Siu-Ming Yiu spends much of his time researching Artificial intelligence, Encryption, Computer security, Machine learning and Cloud computing. His Artificial intelligence study incorporates themes from Structure, Software, Pattern recognition and Identification. Data mining and Protocol is closely connected to Information privacy in his research, which is encompassed under the umbrella topic of Encryption.
His research in Data mining intersects with topics in Classifier and PubChem. Siu-Ming Yiu frequently studies issues relating to Event and Computer security. His work carried out in the field of Cloud computing brings together such families of science as Computer network, Server and Cryptography.
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.
SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
Ruibang Luo;Binghang Liu;Yinlong Xie;Yinlong Xie;Zhenyu Li.
GigaScience (2012)
SOAP2: an improved ultrafast tool for short read alignment.
Ruiqiang Li;Chang Yu;Yingrui Li;Tak Wah Lam.
Bioinformatics (2009)
IDBA-UD
Yu Peng;Henry C. M. Leung;S. M. Yiu;Francis Y. L. Chin.
Bioinformatics (2012)
The sequence and de novo assembly of the giant panda genome
Ruiqiang Li;Wei Fan;Geng Tian;Hongmei Zhu.
Nature (2010)
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Keith R. Bradnam;Joseph N. Fass;Anton Alexandrov;Paul Baranay.
GigaScience (2013)
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Keith R. Bradnam;Joseph N. Fass;Anton Alexandrov;Paul Baranay.
arXiv: Genomics (2013)
Meta-IDBA
Yu Peng;Henry C. M. Leung;S. M. Yiu;Francis Y. L. Chin.
intelligent systems in molecular biology (2011)
SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner
Ruibang Luo;Thomas Kf Wong;Jianqiao Zhu;Jianqiao Zhu;Chi-Man Liu.
PLOS ONE (2013)
Multi-key privacy-preserving deep learning in cloud computing
Ping Li;Jin Li;Zhengan Huang;Tong Li.
Future Generation Computer Systems (2017)
IDBA: a practical iterative de bruijn graph de novo assembler
Yu Peng;Henry C. M. Leung;S. M. Yiu;Francis Y. L. Chin.
research in computational molecular biology (2010)
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Publications: 48
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