Yike Liu

Yike Liu

PhD Candidate

Contact Me

About Me

I am a fifth year PhD student in the Physics Department at Univerisity of Michigan. I am also a MS student in the Computer Science and Engineering Department. I am advised by Professor Jieping Ye.

My primary research focus is on deep learning and reinforcement learning, especially the application of it on traffic data. Before that I have worked on graph-based machine learning and data mining, particularly graph summarization and graph clustering where I developed graph mining algorithms that help better understand the underlying graph organization and making sense of it.

Generally I'm interested in large-scale data science projects that help the end users make sense of large amounts of data, such as finding interesting patterns, detecting anomalies, and visualizing important connections in real-world data.

I am seeking for research internship of Summer 2017. You can check out my CV here.


project name

Data-Driven Human Trafficking Detection

Yike Liu, Linhong Zhu, Pedro Szekely, Aram Galstyan, Danai Koutra


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A Unified Approach for Graph Summarization

Yike Liu, Tara Safavi, Neil Shah, Danai Koutra

International Workshop on Mining and Learning with Graphs, KDD 2016



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Comparison of summarization power of graph clustering methods

Yike Liu, Neil Shah, Danai Koutra

Workshop on Networks in the Social and Information Sciences, NIPS 2015




Graph Summarization: A Survey - Paper

Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra, 2016

Work Experience

Algorithm Engineer Intern - Didi Chuxing (2017 - Present)

Graduate Student Research Assistant - University of Michigan (2016 - Present)

Graduate Student Instructor - University of Michigan (2016 - Present)

EECS 598: Special Topics - Mining Large-Scale Graph Data

Visiting Research Assistant - University of Southern California - Information Science Institute (06/2016 - 08/2016)

Graduate Student Instructor - University of Michigan (2013 - 2015)

Phys 136: Life Sciences Lab

Phys 141: Elementary Laboratory