Cheng Chen

Ph.D student, Computer Science, University of Tennessee
Research Advisor: Dr. Michael A. Langston
Email: cchen67@vols.utk.edu
Office: 210 Min Kao Building, 1520 Middle Drive, Knoxville, TN 37996
CV

Teaching

CS 594/690, Graph Theory
Spring Semester, 2024, University of Tennessee
Course main page
TA page
CS 580, Foundations of Computer Science
Fall Semester, 2023, University of Tennessee
Course main page
TA page

Research

In my research, I focus on the development and application of graph theory algorithms, particularly paraclique, for life science data analysis. This method, which centers around the critical "glom term" hyperparameter, is adept in clustering, outlier detection, and link prediction. My key contribution lies in enhancing the efficiency of identifying dense subgraphs in k-partite graphs, streamlining this intricate process by pruning extraneous search paths. Additionally, I am exploring graph neural networks. My work showcases a deep understanding of complex algorithms and a substantial impact in machine learning, data analysis, and algorithm optimization.
Determine the associations of the circulating microbiome with various clinical characteristics in ESRD patients
University of Tennessee, Knoxville, TN             01/2023~present
Disease Subtyping by Graph Theory Algorithms with Comprehensive Feature selection
University of Tennessee, Knoxville, TN             08/2023~present
Gene product-Disease-Drug Link Prediction Using Tripartite Graph
University of Tennessee, Knoxville, TN             08/2020~05/2022

Internships

Ph.D. Machine Learning Software Engineer Intern
Meta, Burlingame, California, USA              05/2024-08/2024
Developing optimized on-device image understanding models
Improving generated image captions
Work on text based dection
Ph.D. Software Engineer Intern
Google, Mountain View, California, USA              05/2023-08/2023
Smart display anomaly detection and analysis by data mining
Data Scientist Intern
Amazon, Sunnyvale, California, USA              05/2022-08/2022
Building an ensemble system of multiple Machine Learning techniques
Working with big data and, building solutions to challenging problems that directly impact the company's bottom-line
Data Mining and Analysis Engineer Internship
S.F.Express Co.LTF, Shenzhen, China             05/2017-07/2017

Education

2017-now University of Tennessee, Knoxville
2020/08-now        Ph.D. in Computer Science
Ph.D. candidate in 2024/04
2015-2017 Georgia Institute of Technology
M.S. in Bioinformatics
2011-2015 Shanghai Jiao Tong University
B.S. in Bioinformatics

TA & RA

Office of Information Technology Graduate Research Assistant
University of Tennessee, Knoxville, TN, USA             08/2020-12/2022
Graduate Teaching Assistant
University of Tennessee, Knoxville, TN, USA
BIOL 159 --- Skills of Biol Investigation             Spring 2019 and Spring 2020
BIOL 101 --- Intro Bio: Cell/Genetic/Physio             Fall 2018