papers

Publications (12)

q-fin.RM2023

Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment

Kevin Hu, Retsef Levi, Raphael Yahalom +1

This paper provides the first large-scale data-driven analysis to evaluate the predictive power of different attributes for assessing risk of cyberattack data breaches. Furthermore…

math.PR2024

A Mimicking Theorem for processes driven by fractional Brownian motion

Kevin Hu, Kavita Ramanan, William Salkeld

In this paper, we prove a mimicking theorem for stochastic processes with an additive Gaussian noise along with some entropy and transport type estimates. As an application of thes…

physics.soc-ph2016

Pantheon 1.0, a manually verified dataset of globally famous biographies

Amy Zhao Yu, Shahar Ronen, Kevin Hu +2

We present the Pantheon 1.0 dataset: a manually verified dataset of individuals that have transcended linguistic, temporal, and geographic boundaries. The Pantheon 1.0 dataset incl…

stat.AP2013

Characteristic Direction Approach to Identify Differentially Expressed Genes

Neil R. Clark, Kevin Hu, Edward Y. Chen +2

Genome-wide gene expression profiles, as measured with microarrays or RNA-Seq experiments, have revolutionized biological and biomedical research by providing a quantitative measur…

cs.DC2026

fabric-lib: RDMA Point-to-Point Communication for LLM Systems

Nandor Licker, Kevin Hu, Vladimir Zaytsev +1

Emerging Large Language Model (LLM) system patterns, such as disaggregated inference, Mixture-of-Experts (MoE) routing, and asynchronous reinforcement fine-tuning, require flexible…

cs.HC2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Kevin Hu, Neil Gaikwad, Michiel Bakker +7

Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the charact…

math.PR2024

An H-theorem for a conditional McKean-Vlasov process related to interacting diffusions on regular trees

Kevin Hu, Kavita Ramanan

We study the long-time behavior of the -Markov local-field equation (-MLFE), which is a conditional McKean-Vlasov equation associated with interacting diffusions on the $κ…

math.PR2025

A case study of the long-time behavior of the Gaussian local-field equation

Kevin Hu, Kavita Ramanan

For any integer , the -local-field equation (-LFE) characterizes the limit of the neighborhood path empirical measure of interacting diffusions on -regular ra…

math.PR2024

The fundamental martingale with applications to Markov Random Fields

Kevin Hu, Kavita Ramanan, William Salkeld

We consider collections of SDEs indexed by a graph. Each SDE is driven by an additive Gaussian noise and each drift term interacts with all other SDEs within the graph neighbourhoo…

physics.soc-ph2021

Evolutionary Dynamics of Gig Economy Labor Strategies under Technology, Policy and Market Influence

Kevin Hu, Feng Fu

The emergence of the modern gig economy introduces a new set of employment considerations for firms and laborers that include various trade-offs. With a game-theoretical approach,…

math.PR2026

Quantitative propagation of chaos and universality for asymmetric Langevin spin glass dynamics

Manuel Arnese, Kevin Hu

We obtain quantitative estimates on quenched propagation of chaos for Langevin spin glass dynamics with i.i.d. disorder. Prior work in the case of Gaussian disorder established the…

cs.LG2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Madelon Hulsebos, Kevin Hu, Michiel Bakker +5

Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery. Existing data preparat…