Tong Wang

Tong Wang

University of Iowa

H-index: 15

North America-United States

About Tong Wang

Tong Wang, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Iowa, specializes in the field of interpretable machine learning, reinforcement learning, quantitative marketing.

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

Sparse and Faithful Explanations Without Sparse Models

Paralanguage classifier (PARA): An algorithm for automatic coding of paralinguistic nonverbal parts of speech in text

ProtoryNet-Interpretable Text Classification Via Prototype Trajectories

Personalized Path Recourse

Same-day delivery with fair customer service

Dental anomaly detection using intraoral photos via deep learning

Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects

Can Your Toothpaste Shopping Predict Mutual Funds Purchasing? — Transferring Knowledge from Consumer Goods to Financial Products Via Machine Learning

Tong Wang Information

University

Position

___

Citations(all)

1180

Citations(since 2020)

900

Cited By

561

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

19

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Tong Wang Skills & Research Interests

interpretable machine learning

reinforcement learning

quantitative marketing

Top articles of Tong Wang

Title

Journal

Author(s)

Publication Date

Sparse and Faithful Explanations Without Sparse Models

arXiv preprint arXiv:2402.09702

Yiyang Sun

Zhi Chen

Vittorio Orlandi

Tong Wang

Cynthia Rudin

2024/2/15

Paralanguage classifier (PARA): An algorithm for automatic coding of paralinguistic nonverbal parts of speech in text

Journal of Marketing Research

Andrea Webb Luangrath

Yixiang Xu

Tong Wang

2023/4

ProtoryNet-Interpretable Text Classification Via Prototype Trajectories

Journal of Machine Learning Research

Dat Hong

Tong Wang

Stephen Baek

2023

Personalized Path Recourse

arXiv preprint arXiv:2312.08724

Dat Hong

Tong Wang

2023/12/14

Same-day delivery with fair customer service

European Journal of Operational Research

Xinwei Chen

Tong Wang

Barrett W Thomas

Marlin W Ulmer

2023

Dental anomaly detection using intraoral photos via deep learning

Scientific reports

Ronilo Ragodos

Tong Wang

Carmencita Padilla

Jacqueline T Hecht

Fernando A Poletta

...

2022/7/8

Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects

INFORMS Journal on Computing

Tong Wang

Cynthia Rudin

2022/2/4

Can Your Toothpaste Shopping Predict Mutual Funds Purchasing? — Transferring Knowledge from Consumer Goods to Financial Products Via Machine Learning

Transferring Knowledge from Consumer Goods to Financial Products Via Machine Learning (January 27, 2022). Georgia Tech Scheller College of Business Research Paper

Shenghao Wang

Tong Wang

Cheng He

Yu Jeffrey Hu

2022/1/27

Disjunctive rule lists

INFORMS journal on computing

Ronilo Ragodos

Tong Wang

2022/11

ProtoX: Explaining a Reinforcement Learning Agent via Prototyping

Advances in Neural Information Processing Systems

Ronilo Ragodos

Tong Wang

Qihang Lin

Xun Zhou

2022/12/6

Learning to Advise Humans in High-Stakes Settings

arXiv preprint arXiv:2210.12849

Nicholas Wolczynski

Maytal Saar-Tsechansky

Tong Wang

2022/10/23

Adaax: Explaining recurrent neural networks by learning automata with adaptive states

Dat Hong

Alberto Maria Segre

Tong Wang

2022/8/14

A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations

Decision Support Systems

Chaofan Chen

Kangcheng Lin

Cynthia Rudin

Yaron Shaposhnik

Sijia Wang

...

2021/7/15

Partially interpretable estimators (PIE): black-box-refined interpretable machine learning

arXiv preprint arXiv:2105.02410

Tong Wang

Jingyi Yang

Yunyi Li

Boxiang Wang

2021/5/6

Evaluating the Effectiveness of Marketing Campaigns for Malls Using A Novel Interpretable Machine Learning Model

Information Systems Research

Tong Wang

Cheng He

Fujie Jin

Yu Jeffrey Hu

2021

Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model

Journal of Machine Learning Research

Tong Wang

Qihang Lin

2021

Network coded storage with multi-resolution codes

2021/9/21

Surviving COVID-19: Recovery Curves of Mall Traffic in China

Georgia Tech Scheller College of Business Research Paper

Cheng He

Tong Wang

Xiaopeng Luo

Zhenzhi Luo

Jiayi Guan

...

2020/5/28

Interpretable Companions for Black-Box Models

AISTATS

Danqing Pan

Tong Wang

Satoshi Hara

2020/2/10

Transparency Promotion with Model-Agnostic Linear Competitors

Hassan Rafique

Tong Wang

Qihang Lin

Arshia Singhani

2020/11/21

See List of Professors in Tong Wang University(University of Iowa)

Co-Authors

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