2015 to 2019 Ph.D. Dissertations

A Cognition Platform for Joint Inference of 3D Geometry, Object States, and Human Belief

Tao Yuan; PhD, 2019

Contributions to Structured and Unstructured Data Analysis: Liquid Association Computation Acceleration and Word Similarity via Folksonomy

Guani Wu; PhD, 2019

High-dimensional Inferences via Estimator Augmentation: Post-selection and Group Structure

Seunghyun Min; PhD, 2019

Learning Fluents for Task Representation

Yang Liu; PhD, 2019

Problems in Epidemic Inference on Complex Networks

Seyed Jalil Kazemitabar Amirkolaei; PhD, 2019

Social Scene Understanding: Group Activity Parsing, Human-Robot Interactions, and Perception of Animacy

Tianmin Shu; PhD, 2019

Statistical Methods for Bulk and Single-cell RNA Sequencing Data

Wei Li; PHD, 2019

Statistical Revealed Preference Models for Bipartite Networks

Fiona Yeung; PhD, 2019

Unsupervised Learning and Understanding of Deep Generative Models

Tian Han; PHD, 2019

Estimation of Spatial-Temporal Hawkes Models for Earthquake Occurrences

James Molyneux; PhD, 2018

Models for Spatial Point Processes on the Sphere

Meihui Xie; PhD, 2018

Optimal bipartite network clustering

Zhixin Zhou; PhD, 2018

Reduced Degeneracy Statistics for Exponential-family Random Graph Models and Latent Space Network Models for Rating

Jane Carlen; PhD, 2018

Separable Temporal Modeling of Point Processes on Linear Networks & Balancing Data Sufficiency and Privacy

Medha Uppala; PhD, 2018

Some Models in Relational Systems

Aaron Danielson; PhD, 2018

Statistical methods for analyzing mRNA isoform variation in large-scale RNA-seq data

Levon Demirdjian; PhD, 2018

Structure Learning of Bayesian Networks: Group Regularization and Divide-and-Conquer

Jiaying Gui; PhD, 2018

Visual Commonsense Reasoning: Functionality, Physics, Causality, and Utility

Yixin Zhu; PhD, 2018

Community Detection in Networks with Code Covariates

Zahra Razaee; Ph.D., 2017

Constructions and Applications of Space-Filling Designs

Qian Xiao; PhD, 2017

Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis

Yang Lu; Ph.D., 2017

Data Augmentation Approach to Short Text Classification

Ryan Robert Rosario; PhD, 2017

Extending Kriging Methods to Large Datasets with Applications to California Groundwater Data

Brice Charles Randolph; M.S., 2017

Integrative Analysis of Genomic and Transcriptomic Data in Taiwanese Lung Adenocarcinomas

Hao He; PhD, 2017

Joint Multiple Visual Task Understanding from a Single Image via Deep Learning and Conditional Random Field

Pengfei Wang; PhD, 2017

Modeling Objects and Parts by Compositional Relations

Jianyu Wang; Ph.D., 2017

Multimodal Learning for Vision and Language

Junhua Mao; PhD, 2017

Nonparametric Estimation, Forecasts, and Model Evaluation of Spatial Temporal Point Process Models for California Seismicity

Joshua Seth Gordon; Ph.D., 2017

Population Size Estimation using Multiple Respondent-Driven Samples

Brian Kim; PhD, 2017

Single View 3D Reconstruction and Parsing Using Geometric Commonsense for Scene Understanding

Chengcheng Yu; PhD, 2017

Spatial-Temporal Hierarchical Model for Joint Learning and Inference of Human Action and Pose

Xiaohan Nie; Ph.D., 2017

Using Monte Carlo Normal Distributions to Evaluate Structural Models with Nonnormal Data

Siavesh Jalal; Ph.D., 2017

Video and Image Analysis Using Local Information

Xiaochen Lian; Ph.D., 2017

Pose-Guided Human Semantic Part Segmentation

Fangting Xia; Ph.D., 2016

Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation

Xianjie Chen; PhD, 2016

Detecting Combinatorial DNA-Binding Patterns by the K-function and its Generalizations

Maria Cha; Ph.D., 2015

Logistic Regression Models and Diagnostics for Adverse Outcomes in Patients with Hyperemesis Gravidarum

Aromalyn Latag Magtira; Ph.D., 2015