Xiyang Hu

Orcid: 0000-0001-7269-3828

According to our database¹, Xiyang Hu authored at least 36 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2025

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

[BibT_eX]

[DOI]

CoRR, May, 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

Graph Synthetic Out-of-Distribution Exposure with Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Generative AI in Transportation Planning: A Survey.

[BibT_eX]

[DOI]

CoRR, March, 2025

Secure On-Device Video OOD Detection Without Backpropagation.

[BibT_eX]

[DOI]

CoRR, March, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Xiyang Hu

CoRR, January, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

PyGOD: A Python Library for Graph Outlier Detection.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

A Large-scale Empirical Study on Large Language Models for Election Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Political-LLM: Large Language Models in Political Science.

[BibT_eX]

[DOI]

CoRR, 2024

NLP-ADBench: NLP Anomaly Detection Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration.

[BibT_eX]

[DOI]

CoRR, 2024

COOD: Concept-based Zero-shot OOD Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model.

[BibT_eX]

[DOI]

Xiyang Hu

Maryam Rahnemoonfar

Proceedings of the IGARSS 2024, 2024

2023

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Weakly Supervised Anomaly Detection: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

ADGym: Design Choices for Deep Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Benchmarking Node Outlier Detection on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

ADBench: Anomaly Detection Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Uncovering the Source of Machine Bias.

[BibT_eX]

[DOI]

CoRR, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ADBench: Anomaly Detection Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit.

[BibT_eX]

[DOI]

Proceedings of the 43rd International Conference on Information Systems, 2022

2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Uncovering the Source of Evaluation Bias in Micro-Lending.

[BibT_eX]

[DOI]

Proceedings of the 42nd International Conference on Information Systems, 2021

2020

SUOD: A Scalable Unsupervised Outlier Detection Framework.

[BibT_eX]

[DOI]

CoRR, 2020

COPOD: Copula-Based Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Optimal Sparse Decision Trees.

[BibT_eX]

[DOI]

Xiyang Hu

Cynthia Rudin

Margo I. Seltzer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Xiyang Hu

Timeline

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