Xintao Wu

Xintao Wu

University of Arkansas

H-index: 45

North America-United States

About Xintao Wu

Xintao Wu, With an exceptional h-index of 45 and a recent h-index of 36 (since 2020), a distinguished researcher at University of Arkansas, specializes in the field of Data Mining, Privacy and Security, Fairness, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

Robust Influence-Based Training Methods for Noisy Brain MRI

Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models

In-Context Learning Demonstration Selection via Influence Analysis

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks

DP-TabICL: In-Context Learning with Differentially Private Tabular Data

Xintao Wu Information

University

Position

___

Citations(all)

7728

Citations(since 2020)

4517

Cited By

4528

hIndex(all)

45

hIndex(since 2020)

36

i10Index(all)

121

i10Index(since 2020)

77

Email

University Profile Page

University of Arkansas

Google Scholar

View Google Scholar Profile

Xintao Wu Skills & Research Interests

Data Mining

Privacy and Security

Fairness

Artificial Intelligence

Top articles of Xintao Wu

Title

Journal

Author(s)

Publication Date

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

ACM Transactions on Knowledge Discovery from Data

Chen Zhao

Feng Mi

Xintao Wu

Kai Jiang

Latifur Khan

...

2024/2/19

Robust Influence-Based Training Methods for Noisy Brain MRI

Minh-Hao Van

Alycia N Carey

Xintao Wu

2024/5/1

Supervised Algorithmic Fairness in Distribution Shifts: A Survey

arXiv preprint arXiv:2402.01327

Yujie Lin

Dong Li

Chen Zhao

Xintao Wu

Qin Tian

...

2024/2/2

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models

arXiv preprint arXiv:2404.17735

Aneesh Komanduri

Chen Zhao

Feng Chen

Xintao Wu

2024/4/27

In-Context Learning Demonstration Selection via Influence Analysis

arXiv preprint arXiv:2402.11750

Minh-Hao Van

Xintao Wu

2024/2/19

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Proceedings of the AAAI Conference on Artificial Intelligence

Wen Huang

Xintao Wu

2024/3/24

Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks

Karuna Bhaila

Xintao Wu

2024

DP-TabICL: In-Context Learning with Differentially Private Tabular Data

arXiv preprint arXiv:2403.05681

Alycia N Carey

Karuna Bhaila

Kennedy Edemacu

Xintao Wu

2024/3/8

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach

Karuna Bhaila

Wen Huang

Yongkai Wu

Xintao Wu

2024

On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study

arXiv preprint arXiv:2402.14162

Minh-Hao Van

Prateek Verma

Xintao Wu

2024/2/21

The statistical fairness field guide: perspectives from social and formal sciences

Alycia N Carey

Xintao Wu

2023/2

2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)

Chen Zhao

Feng Chen

Xintao Wu

Haifeng Chen

Jiayu Zhou

2023/8/6

How to Backdoor HyperNetwork in Personalized Federated Learning?

Phung Lai

Hai Phan

Issa Khalil

Abdallah Khreishah

Xintao Wu

2023/10/28

Randomized Response Has No Disparate Impact on Model Accuracy

Alycia N Carey

Karuna Bhaila

Xintao Wu

2023/12/15

Towards fair disentangled online learning for changing environments

Chen Zhao

Feng Mi

Xintao Wu

Kai Jiang

Latifur Khan

...

2023/8/6

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

arXiv preprint arXiv:2310.11011

Aneesh Komanduri

Xintao Wu

Yongkai Wu

Feng Chen

2023/10/17

A robust classifier under missing-not-at-random sample selection bias

Huy Mai

Wen Huang

Wei Du

Xintao Wu

2023/12/15

Robust Fraud Detection via Supervised Contrastive Learning

MS Vinay

Shuhan Yuan

Xintao Wu

2023/12/15

Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions

arXiv preprint arXiv:2309.08678

Alycia N Carey

Minh-Hao Van

Xintao Wu

2023/9/15

HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks

Minh-Hao Van

Alycia N Carey

Xintao Wu

2023/12/1

See List of Professors in Xintao Wu University(University of Arkansas)

Co-Authors

H-index: 125
Zhi-Hua Zhou

Zhi-Hua Zhou

Nanjing University

H-index: 78
Tao Xie

Tao Xie

Peking University

H-index: 66
Hanghang Tong

Hanghang Tong

University of Illinois at Urbana-Champaign

H-index: 49
Daniel Barbara

Daniel Barbara

George Mason University

H-index: 46
Yingjiu Li

Yingjiu Li

University of Oregon

H-index: 44
Dejing Dou

Dejing Dou

University of Oregon

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