Personal information

Keywords

Information theory, Channel coding, Upper bounds, Communication system

Biography

Dr. Liu’s research interests include information theory, channel coding theory and their applications to communication systems and digital recording systems. Dr. Liu is now a Lecturer with the College of Computer Science and Engineering, Zhongkai University of Agriculture and Engineering of China. She received the Ph.D. degree in communication and information systems from Sun Yat-sen University, China, in 2013.

Activities

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Employment (1)

Zhongkai University of Agriculture and Engineering: Guangzhou, Guangdong, CN

2007-07-01 to present | Lecturer (Information Science and Technology)
Employment
Source: Self-asserted source
JIA LIU

Education and qualifications (3)

Sun Yat-Sen University: Guangzhou, Guangdong, CN

2009-09-01 to 2013-06-31 | Ph.D (Information Science and Technology)
Education
Source: Self-asserted source
JIA LIU

Sun Yat-Sen University: Guangzhou, Guangdong, CN

2005-09-01 to 2007-06-31 | MSc (Information Science and Technology)
Education
Source: Self-asserted source
JIA LIU

Beihua University: Jilin City, Jilin, CN

2001-09-01 to 2005-06-31 | BSc (Information Science and Technology)
Education
Source: Self-asserted source
JIA LIU

Funding (3)

The 973 Program

Grant
National Natural Science Foundation of China (guang zhou, CN)
Source: Self-asserted source
JIA LIU

The National S&T Major Special Projects

Grant
National Natural Science Foundation of China (guang zhou, CN)
Source: Self-asserted source
JIA LIU

The NFC of China

Grant
National Natural Science Foundation of China (guang zhou, CN)
Source: Self-asserted source
JIA LIU

Works (5)

A WLAN authentication scheme based on message-recovery RSA-PSS

Conference paper
Source: Self-asserted source
JIA LIU

Amended truncated union bounds on the ML decoding performance of binary linear codes over AWGN channels

Chinese Journal of Electronics
Journal article
Source: Self-asserted source
JIA LIU

New geometrical spectra of linear codes with applications to performance analysis

IEEE International Symposium on Information Theory Workshop
Conference paper
Source: Self-asserted source
JIA LIU

New techniques for upper-bounding the ML decoding performance of binary linear codes

IEEE Transactions on Communications
Journal article
Source: Self-asserted source
JIA LIU

New techniques for upper-bounding the MLD performance of binary linear codes

IEEE International Symposium on Information Theory Proceedings
Conference paper
Source: Self-asserted source
JIA LIU
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