* correponding author, † student under my supervision



  1. Can Your Toothpaste Shopping Predict Mutual Funds Purchasing? Transferring Knowledge from Consumer Goods to Financial Products Via Machine Learning
    Shenghao Wang†, Tong Wang, Cheng He, and Yu Jeffrey Hu

Machine Learning Conferences and Journals


  1. JMLR
    Interpretable Sequence Classification via Prototype Trajectory
    Dat Hong†, Tong Wang*, and Stephen Baek
    Journal of Machine Learning Research, 2023


  1. NeurIPS
    ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
    Ronilo Ragodos†, Tong Wang*, Qihang Lin, and Xun Zhou
    Advances in Neural Information Processing Systems, 2022

    AdaAX: Explaining Recurrent Neural Networks by Learning Automata with Adaptive States
    Dat Hong†, Alberto Maria Segre, and Tong Wang*
    In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022


  1. JMLR
    Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model
    Tong Wang, and Qihang Lin
    The Journal of Machine Learning Research, 2021


    Interpretable Companions for Black-box Models
    Danqing Pan, Tong Wang, and Satoshi Hara
    In International conference on artificial intelligence and statistics, 2020

  2. ICML
    Transparency Promotion with Model-agnostic Linear Competitors
    Hassan Rafique, Tong Wang*, Qihang Lin, and Arshia Singhani
    In International Conference on Machine Learning, 2020

    Runner-up for Best Paper Award at INFORMS Workshop on Data Science, 2019.


  1. ICML
    Gaining Free or Low-cost Interpretability with Interpretable Partial Substitute
    Tong Wang
    In International Conference on Machine Learning, 2019


  1. NeurIPS
    Multi-value Rule Sets for Interpretable Classification with Feature-efficient Representations
    Tong Wang
    Advances in neural information processing systems, 2018


  1. JMLR
    A Bayesian Framework for Learning Rule Sets for Interpretable Classification
    Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille
    The Journal of Machine Learning Research, 2017


  1. BigData
    Finding Patterns with a Rotten Core: Data Mining for Crime Series with Cores
    Tong Wang, Cynthia Rudin, Daniel Wagner, and Rich Sevieri
    Big Data, 2015


    Learning to Detect Patterns of Crime
    Tong Wang, Cynthia Rudin, Daniel Wagner, and Rich Sevieri
    In Joint European conference on machine learning and knowledge discovery in databases, 2013

    This project is the Second place winner of “Doing Good with Good OR”, INFORMS, 2015 and is reported in several media including and Wiki Crime Analysis. Ideas from this work were implemented by the NYPD by Alex Chohlas-Wood and E.S. Levine in their algorithm Patternizr (Please see this paper for the implementation details), which operates live in New York City since 2019.

  2. AAAI
    Detecting Patterns of Crime with Series Finder
    Tong Wang, Cynthia Rudin, Daniel Wagner, and Rich Sevieri
    In Proceedings of the 17th AAAI Conference on Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Business Journals


  1. JMR
    Paralanguage Classifier (PARA): An Algorithm for Automatic Coding of Paralinguistic Nonverbal Parts of Speech in Text
    Andrea Webb Luangrath, Yixiang Xu, and Tong Wang
    Journal of Marketing Research, 2023

  2. EJOR
    Same-day Delivery with Fair Customer Service
    Xinwei Chen, Tong Wang, Barrett W Thomas, and Marlin W Ulmer
    European Journal of Operational Research, 2023


  1. DSS
    A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-explanations
    Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, and Tong Wang
    Decision Support Systems, 2022

    This project is the winner of FICO Recognition Award for the FICO xML Challenge, for building an interpretable model that beats black-box models. See the blog on FICO website about this entry.

  2. IJOC
    Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects
    Tong Wang, and Cynthia Rudin
    INFORMS Journal on Computing, 2022

  3. IJOC
    Disjunctive Rule Lists
    Ronilo Ragodos†, and Tong Wang
    INFORMS Journal on Computing, 2022


  1. ISR
    Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model
    Tong Wang, Cheng He, Fujie Jin, and Yu Jeffrey Hu
    Information Systems Research, 2021

Healthcare and Sociology Journals


  1. Sci. Rep.
    Dental Anomaly Detection Using Intraoral Photos Via Deep Learning
    Ronilo Ragodos†, Tong Wang*, George Wehby, Seth Weinberg, Deborah Dawson, Mary Mzrazita, Lina Uribe, and Brian Howe
    Scientific Reports, 2022


  1. BMJ
    Outcomes Associated with Peripherally Inserted Central Catheters in Hospitalised Children: a Retrospective 7-year Single-centre Experience
    Aditya Badheka, Jodi Bloxham, April Schmitz, Barbara Freyenberger, Tong Wang, Sankeerth Rampa, Jennifer Turi, Veerasathpurush Allareddy, Marcelo Auslender, and Veerajalandhar Allareddy
    BMJ open, 2019

  2. Socius
    Humans in the Loop: Priors and Missingness on the Road to Prediction
    Anna Filippova, Connor Gilroy, Ridhi Kashyap, Antje Kirchner, Allison Morgan, Kivan Polimis, Adaner Usmani, and Tong Wang
    Socius, 2019


  1. Am. J. Surg
    Prevalence and Predictors of C. Difficile Infections in Those Who Had Major Surgical Procedures in USA: Analysis Using the Traditional and Machine Learning Methods
    Veerajalandhar Allareddy, Tong Wang, Sankeerth Rampa, Jennifer Caplin, Romesh Nalliah, Aditya Badheka, and Veerasathpurush Allareddy
    American Journal of Surgery, 2018