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Start Over Committee Member Mary Beth Rosson Committee Member Suhang Wang Access Level open_access

1. Supervised Machine Learning for Region Assignment of Zebrafish Brain Nuclei based on Computational Assessment of Cell Neighborhoods

open_access
Open Access
Author:
Gupta, Samarth
Title:
Supervised Machine Learning for Region Assignment of Zebrafish Brain Nuclei based on Computational Assessment of Cell Neighborhoods
Graduate Program:
Information Sciences and Technology
Keywords:
Deep Learning
Microtomography
File:
Download thesis_samarth.pdf
Committee Members:
Sharon Xiaolei Huang, Thesis Advisor/Co-Advisor
Mary Beth Rosson, Program Head/Chair
Suhang Wang, Committee Member
Fenglong Ma, Committee Member

2. Modeling Spatiotemporality for Multivariate Time Series in Urban Applications

open_access
Open Access
Author:
Tang, Xianfeng
Title:
Modeling Spatiotemporality for Multivariate Time Series in Urban Applications
Graduate Program:
Information Sciences and Technology
Keywords:
Machine learning
Data mining
Time series
Spatial-temporal
Smart city
File:
Download Xianfeng_Tang_MS_Thesis_Final.pdf
Committee Members:
Prasenjit Mitra, Thesis Advisor/Co-Advisor
Suhang Wang, Thesis Advisor/Co-Advisor
Xiang Zhang, Committee Member
Wang-Chien Lee, Committee Member
Mary Beth Rosson, Program Head/Chair

3. Beyond Accurate Graph Neural Networks

open_access
Open Access
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

5. Trustworthy Machine Learning: Learning under Security, Explainability and Uncertainty Constraints

open_access
Open Access
Author:
Le, Thai Quang
Title:
Trustworthy Machine Learning: Learning under Security, Explainability and Uncertainty Constraints
Graduate Program:
Information Sciences and Technology (PHD)
Keywords:
machine learning
responsible AI
explainability
adversarial attack
adversarial defense
security
privacy
XAI
trustworthy
File:
Download Thesis_ThaiLe_IST_B.pdf
Committee Members:
Dongwon Lee, Chair & Dissertation Advisor
Suhang Wang, Major Field Member
Prasenjit Mitra, Major Field Member
S. Shyam Sundar, Outside Unit & Field Member
Mary Beth Rosson, Program Head/Chair

6. Learning to Learn with Structured Knowledge

open_access
Open Access
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

7. Characterization, Understanding, and Prediction of Temporal Dynamics of Web Contents

open_access
Open Access
Author:
Liao, Yiming
Title:
Characterization, Understanding, and Prediction of Temporal Dynamics of Web Contents
Graduate Program:
Information Sciences and Technology
Keywords:
time series data
temporal data
temporal pattern
social media
user behavior
news popularity
graph embedding
dynamic graph embedding
timeline summarization
news timeline
File:
Download dissertation_yiming_final.pdf
Committee Members:
Dongwon Lee, Dissertation Advisor/Co-Advisor
Dongwon Lee, Committee Chair/Co-Chair
Xiang Zhang, Committee Member
Suhang Wang, Committee Member
Lin Lin, Outside Member
Mary Beth Rosson, Program Head/Chair

9. Resource-efficient Deep Learning: Democratizing AI at Scale

open_access
Open Access
Author:
Xu, Dongkuan
Title:
Resource-efficient Deep Learning: Democratizing AI at Scale
Graduate Program:
Information Sciences and Technology (PHD)
Keywords:
Deep Learning
Democratization
Efficient
Artificial Intelligence
Model Compression
Graph Neural Network
Acceleration
File:
Download PhD_dessertation_Dongkuan_Xu_Resource_efficient_Deep_Learning_FinalVersion.pdf
Committee Members:
Dongwon Lee, Major Field Member
Xiang Zhang, Chair & Dissertation Advisor
Xiao Liu, Outside Unit & Field Member
Mary Beth Rosson, Program Head/Chair
Suhang Wang, Major Field Member