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09/18/2023
Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets
Understanding the framing of political issues is of paramount importance...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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06/02/2023
Revisiting Garg's 2-Approximation Algorithm for the k-MST Problem in Graphs
This paper revisits the 2-approximation algorithm for k-MST presented by...
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05/30/2023
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
We propose the first study of adversarial attacks on online learning to ...
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03/28/2023
Bias or Diversity? Unraveling Semantic Discrepancy in U.S. News Headlines
There is a broad consensus that news media outlets incorporate ideologic...
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01/16/2023
Computational Assessment of Hyperpartisanship in News Titles
We first adopt a human-guided machine learning framework to develop a ne...
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12/10/2022
A systematic literature review on cyber threat hunting
Since the term "Cyber threat hunting" was introduced in 2016, there have...
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09/30/2022
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
Predicting the responses of a cell under perturbations may bring importa...
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09/13/2022
Variational Causal Inference
Estimating an individual's potential outcomes under counterfactual treat...
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02/17/2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Image-based characterization and disease understanding involve integrati...
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10/18/2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
In this work, we investigate semi-supervised learning (SSL) for image cl...
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05/16/2019
