activity
20192025
most citedOptimal Sparse Decision Trees

10 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2025

Accelerating a Linear Programming Algorithm on AMD GPUs

Xiyan Hu, Titus Parker, Connor Phillips +1

Linear Programming (LP) is a foundational optimization technique with widespread applications in finance, energy trading, and supply chain logistics. However, traditional Central P…

cs.CL2025

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines

Xiyang Hu

The increasing integration of Large Language Model (LLM) based search engines has transformed the landscape of information retrieval. However, these systems are vulnerable to adver…

cs.LG2023★ 1 cited

Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation

Xiyang Hu, Yan Huang, Beibei Li +1

FinTech lending (e.g., micro-lending) has played a significant role in facilitating financial inclusion. It has reduced processing times and costs, enhanced the user experience, an…

cs.IR2022★ 1 cited

Language Agnostic Multilingual Information Retrieval with Contrastive Learning

Xiyang Hu, Xinchi Chen, Peng Qi +4

Multilingual information retrieval (IR) is challenging since annotated training data is costly to obtain in many languages. We present an effective method to train multilingual IR…

cs.LG2022

Uncovering the Source of Machine Bias

Xiyang Hu, Yan Huang, Beibei Li +1

We develop a structural econometric model to capture the decision dynamics of human evaluators on an online micro-lending platform, and estimate the model parameters using a real-w…

cs.LG2019★ 10 cited

Optimal Sparse Decision Trees

Xiyang Hu, Cynthia Rudin, Margo Seltzer

Decision tree algorithms have been among the most popular algorithms for interpretable (transparent) machine learning since the early 1980's. The problem that has plagued decision…