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Author:

Tang, Xianfeng

Title:

Beyond Accurate Graph Neural Networks

Graduate Program:

Information Sciences and Technology

Keywords:

Machine Learning
Data Mining
Graph Data
Graph Neural Networks
Adversarial Attack
Robustness
Fairness
Explainable Machine Learning
Deep Learning

File:

Download Final_Dissertation_Beyond_Accurate_Graph_Neural_Networks.pdf

Committee Members:

Prasenjit Mitra, Dissertation Advisor/Co-Advisor
Prasenjit Mitra, Committee Chair/Co-Chair
Suhang Wang, Committee Chair/Co-Chair
Xiang Zhang, Committee Member
Wang-Chien Lee, Outside Member
Mary Beth Rosson, Program Head/Chair
Suhang Wang, Dissertation Advisor/Co-Advisor

Author:

Yao, Huaxiu

Title:

Learning to Learn with Structured Knowledge

Graduate Program:

Information Sciences and Technology

Keywords:

Machine Learning
Data Mining
Deep Learning
Meta-learning
Relation Learning
Few-shot Learning

File:

Download PhD_Dissertation_Huaxiu.pdf

Committee Members:

Zhenhui Li, Dissertation Advisor/Co-Advisor
Zhenhui Li, Committee Chair/Co-Chair
Suhang Wang, Committee Member
Xiang Zhang, Committee Member
Lingzhou Xue, Outside Member
Mary Beth Rosson, Program Head/Chair

Author:

Zhang, Jiasheng

Title:

Modeling and Influencing Online User Behavior with Machine Learning

Graduate Program:

Information Sciences and Technology

Keywords:

Online User Behavior
Modeling and Influencing
Machine Learning

File:

Download thesis.pdf

Committee Members:

Dongwon Lee, Dissertation Advisor/Co-Advisor
Dongwon Lee, Committee Chair/Co-Chair
Zhenhui Li, Committee Member
Xiang Zhang, Committee Member
David Jonathan Miller, Outside Member
Mary Beth Rosson, Program Head/Chair

Author:

Seo, Jooyoung

Title:

Discovering Informal Learning Cultures of Blind Individuals Pursuing STEM Disciplines: A Computational Ethnography Using Public Listserv Archives

Graduate Program:

Learning, Design, and Technology (PHD)

Keywords:

STEM
Computational Ethnography
Accessibility
Blind Learners
Visual Impairments
Machine Learning
Structural Topic Modeling
Data Science
Mailing List
Tidy Data
R
Mailing Lists
Python

File:

Download J.Seo_Dissertation_Revised.pdf

Committee Members:

Gabriela Richard, Chair & Dissertation Advisor
Roy Clariana, Major Field Member
ChanMin Kim, Major Field Member
Mary Beth Rosson, Outside Unit & Field Member
Heather Zimmerman, Professor in Charge/Director of Graduate Studies

Author:

Khademi, Aria

Title:

Excursions in Causal Data Science: Fairness, Causal Attribution, and Applications

Graduate Program:

Informatics (PHD)

Keywords:

Artificial Intelligence
Machine Learning
Causal Inference
Interpretable Machine Learning
Fairness
Health Care
Causal Attribution

File:

Download PhD_Dissertation_Aria_Khademi.pdf

Committee Members:

Daniel Susser, Major Field Member
Sarah Rajtmajer, Major Field Member
Vasant Honavar, Chair & Dissertation Advisor
Aleksandra Slavkovic, Outside Unit, Field & Minor Member
Mary Beth Rosson, Program Head/Chair