Xiaoqian Wang

Xiaoqian Wang

Purdue University

H-index: 17

North America-United States

About Xiaoqian Wang

Xiaoqian Wang, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Machine Learning, Data Mining, Bioinformatics.

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

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

To be robust and to be fair: Aligning fairness with robustness

Difficulty-Based Sampling for Debiased Contrastive Representation Learning

Towards Trustworthy Artificial Intelligence for Equitable Global Health

Simfair: A unified framework for fairness-aware multi-label classification

Determining the role of advection in patterning by bone morphogenetic proteins through neural network model-based acceleration of a 3D finite element model of the zebrafish embryo

Fairness with adaptive weights

Xiaoqian Wang Information

University

Position

___

Citations(all)

2547

Citations(since 2020)

2114

Cited By

1166

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

25

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Xiaoqian Wang Skills & Research Interests

Machine Learning

Data Mining

Bioinformatics

Top articles of Xiaoqian Wang

Title

Journal

Author(s)

Publication Date

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs

arXiv preprint arXiv:2404.00942

Xiaoze Liu

Feijie Wu

Tianyang Xu

Zhuo Chen

Yichi Zhang

...

2024/4/1

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Proceedings of the AAAI Conference on Artificial Intelligence

Tianchun Li

Chengxiang Wu

Pengyi Shi

Xiaoqian Wang

2024/3/24

To be robust and to be fair: Aligning fairness with robustness

arXiv preprint arXiv:2304.00061

Junyi Chai

Xiaoqian Wang

2023/3/31

Difficulty-Based Sampling for Debiased Contrastive Representation Learning

Taeuk Jang

Xiaoqian Wang

2023

Towards Trustworthy Artificial Intelligence for Equitable Global Health

arXiv preprint arXiv:2309.05088

Hong Qin

Jude Kong

Wandi Ding

Ramneek Ahluwalia

Christo El Morr

...

2023/9/10

Simfair: A unified framework for fairness-aware multi-label classification

Proceedings of the AAAI Conference on Artificial Intelligence

Tianci Liu

Haoyu Wang

Yaqing Wang

Xiaoqian Wang

Lu Su

...

2023/6/26

Determining the role of advection in patterning by bone morphogenetic proteins through neural network model-based acceleration of a 3D finite element model of the zebrafish embryo

Frontiers in Systems Biology

Linlin Li

Xu Wang

Junyi Chai

Xiaoqian Wang

Adrian Buganza Tepole

...

2022

Fairness with adaptive weights

Junyi Chai

Xiaoqian Wang

2022/6/28

Group-aware threshold adaptation for fair classification

Proceedings of the AAAI Conference on Artificial Intelligence

Taeuk Jang

Pengyi Shi

Xiaoqian Wang

2022/6/28

“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations

Advances in Neural Information Processing Systems

Yipei Wang

Xiaoqian Wang

2022/12/6

Iteratively re-weighted method for sparsity-inducing norms

IEEE Transactions on Knowledge and Data Engineering

Feiping Nie

Zhanxuan Hu

Xiaoqian Wang

Xuelong Li

Heng Huang

2022/6/2

Fairness without demographics through knowledge distillation

Advances in Neural Information Processing Systems

Junyi Chai

Taeuk Jang

Xiaoqian Wang

2022/12/6

A unified study of machine learning explanation evaluation metrics

arXiv preprint arXiv:2203.14265

Yipei Wang

Xiaoqian Wang

2022/3/27

Self-supervised fair representation learning without demographics

Advances in Neural Information Processing Systems

Junyi Chai

Xiaoqian Wang

2022/12/6

Multi-Task Learning Via Sharing Inexact Low-Rank Subspace

Xiaoqian Wang

Feiping Nie

2021/6/6

Constructing a fair classifier with generated fair data

Proceedings of the AAAI Conference on Artificial Intelligence

Taeuk Jang

Feng Zheng

Xiaoqian Wang

2021/5/18

Shapley explanation networks

arXiv preprint arXiv:2104.02297

Rui Wang

Xiaoqian Wang

David I Inouye

2021/4/6

On the convergence of stochastic compositional gradient descent ascent method

Thirtieth International Joint Conference on Artificial Intelligence (IJCAI)

Hongchang Gao

Xiaoqian Wang

Lei Luo

Xinghua Shi

2021/1

Self-interpretable model with transformation equivariant interpretation

Advances in Neural Information Processing Systems

Yipei Wang

Xiaoqian Wang

2021/12/6

Modeling complex spatial patterns with temporal features via heterogenous graph embedding networks

arXiv preprint arXiv:2008.08617

Yida Huang

Haoyan Xu

Ziheng Duan

Anni Ren

Jie Feng

...

2020/8

See List of Professors in Xiaoqian Wang University(Purdue University)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 150
Andrew Saykin

Andrew Saykin

Indiana University Bloomington

H-index: 138
Dinggang Shen

Dinggang Shen

Shanghai Tech University

H-index: 66
Li Shen

Li Shen

University of Pennsylvania

H-index: 59
Kwangsik Nho

Kwangsik Nho

Indiana University - Purdue University Indianapolis

H-index: 53
Cheng Deng (邓成)

Cheng Deng (邓成)

Xidian University

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