Michael R. Lyu is affiliated with the Chinese University of Hong Kong in China. Their research spans a broad range of topics primarily within computer science, with a strong focus on software reliability and engineering.
Their main field of study is Computer Science, supported by over 500 publications. Key subfields within their work include Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Software.
The main topics covered in their research are:
Michael R. Lyu has published extensively across various scholarly venues. Frequent publication venues include:
Recent representative papers authored or co-authored by Michael R. Lyu include:
Their frequent collaborators include:
Michael R. Lyu has received recognition in the form of fellowships. They were named an ACM Fellow in 2015, for contributions to the theory and practice of software reliability engineering. They are also a Fellow of the American Association for the Advancement of Science (AAAS) since 2006 and an IEEE Fellow since 2004, acknowledging their work in software reliability engineering and software fault tolerance.
Hao Ma;Dengyong Zhou;Chao Liu;Michael R. Lyu
Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King
Hao Ma;Irwin King;Michael R. Lyu
Zibin Zheng;Hao Ma;M R Lyu;I King
Jing-Ru Zhang;Jun Zhang;Tat-Ming Lok;Michael R. Lyu
Pinjia He;Jieming Zhu;Zibin Zheng;Michael R. Lyu
Chen Cheng;Haiqin Yang;Irwin King;Michael R. Lyu
Hao Ma;Irwin King;Michael R. Lyu
Zibin Zheng;Hao Ma;Michael R. Lyu;Irwin King
Chen Cheng;Haiqin Yang;Michael R. Lyu;Irwin King
Shilin He;Jieming Zhu;Pinjia He;Michael R. Lyu
Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu
Zibin Zheng;Hao Ma;M. R. Lyu;Irwin King
Jieming Zhu;Shilin He;Jinyang Liu;Pinjia He
M.R. Lyu;Jiqiang Song;Min Cai
Zibin Zheng;Yilei Zhang;Michael R. Lyu
Zibin Zheng;Yilei Zhang;Michael R. Lyu
Michael R. Lyu
Jian Li;Pinjia He;Jieming Zhu;Michael R. Lyu
M.R. Lyu
Zenglin Xu;Irwin King;Michael Rung-Tsong Lyu;Rong Jin
Michael R. Lyu
Xi Chen;Zibin Zheng;Michael R. Lyu
If you think any of the details on this page are incorrect, let us know.
Exploring online learning options has never been more valuable for aspiring computer scientists. Many students now pursue related subjects through flexible online programs. For those interested in foundational theory, an online theoretical physics degree can complement a computer science background, offering advanced problem-solving and analytical skills.
Data science remains a hot field, and finding the cheapest master in data science helps students save on costs while gaining valuable skills in analytics, machine learning, and big data. Engineering is another in-demand area; top choices include accredited online electrical engineering programs that provide practical knowledge directly applicable to technology careers.
Certifications can also boost employability and salary potential. Many professionals pursue certifications that pay well to quickly expand their credentials and enter high-paying tech roles. Researching these pathways offers diverse options beyond traditional degrees, helping you shape a unique and competitive career in the tech industry.
University of Wisconsin–Madison
Leibniz Institute of Photonic Technology
University of Minho
Texas A&M University
Novogene (China)
North Carolina State University
Texas A&M University
Tel Aviv University
Queensland University of Technology
Federal Institute for Geosciences and Natural Resources
United States Geological Survey
Goldsmiths University of London
Duke University
University of Oxford
University of Bologna
University of Michigan–Ann Arbor