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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
The Relationships of Deteriorating Depression and Anxiety With Longitudinal Behavioral Changes in Google and YouTube Use During COVID-19: Observational Study
The goal of this study is to examine, among college students in the United States, the relationships of deteriorating depression and anxiety conditions with the changes in user behaviors when engaging with Google Search and YouTube during COVID-19.
Pervasive Computing; Mental Health.
A Multivariate Hawkes Process for Detecting Individuals with Depressive Disorder
We propose a personalized framework for classifying individuals with and without depression symptoms. We simulated the interplay between the distributional semantics and the temporal stochasticity of online activities with a mutually exciting multidimensional Hawkes Process.
Machine Learning → Temporal Point Process; Mental Health.
Understanding Diversity-based Pruning of Neural Networks – Statistical Mechanical Analysis
Despite the multitude of empirical advances, there is no theoretical understanding of the effectiveness of different pruning methods. We address this issue by setting up the problem in the statistical mechanics formulation of a teacher-student framework and deriving generalization error (GE) bounds of specific pruning methods.
Theory for Deep Learning → Statistical Mechanical Analysis.
Individual-level Anxiety Detection and Prediction from Longitudinal YouTube and Google Search Engagement Logs
In this work, we propose an alternative method to identify individuals with anxiety and further estimate their anxiety levels using personal online activity histories from YouTube and the Google Search engine, platforms that are used by millions of people daily.
Pervasive Computing; Mental Health.
Aggregating Search Logs and Self-esteem for Identifying Individuals with History of Suicide Ideation
We propose a framework for identifying individuals with a history of suicide ideation from their daily online search logs. We designed a graphical model optimized by MCMC methods that incorporates the latent interdependence between self-esteem, cognitive states, and online engagements to identify past suicidal ideation.
Machine Learning → Bayesian Inference; Mental Health.
Decoding Word Sense with Graphical Embeddings
Implemented three deep graph encoders over WordNet for word sense embeddings bounded by hypernyms-hyponyms and meronyms-holonyms: a child-sum graph bi-LSTM, a matrix decomposition method with graph kernels, and a GCN.
Word Sense Disambiguation.
publications
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.