Hangjin Liu is a Phd student in Electrical & Computer Engineering at North Carolina State University. She is currently pursuing Ph.D. degree under the supervision of Dr. Carons Williams. Her current research involves using tools and ideas from machine learning and its applications for biological systems. Specifically, her is interested in how much data or information is needed to solve a complex statistical problem. Additionally, she is also interested in digital signal processing, compressed sensing, signal reconstruction, detection and estimation.[/et_pb_text][et_pb_text _builder_version=”4.2″]
Hangjin Liu, Cynthia Rush, and Dror Baron. “An Analysis of State Evolution for Approximate Message Passing with Side Information.” 2019 IEEE International Symposium on Information Theory (ISIT), 2019. doi:10.1109/isit.2019.8849735.
Hangjin Liu, You Joe Zhou, Ahmad Beirami, and Dror Baron. “Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing.” 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019. doi:10.1109/allerton.2019.8919961.[/et_pb_text][et_pb_text _builder_version=”4.2″ hover_enabled=”0″]
Room 3031, Engineering Building II
Dept. of Electrical and Computer Engineering,
North Carolina State University,
Raleigh NC USA 27695.