default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTong Wang 0011
Person information
- affiliation: University of Iowa, IA, USA
- affiliation (PhD 2016): Massachusetts Institute of Technology, Cambridge, USA
Other persons with the same name
- Tong Wang — disambiguation page
- Tong Wang 0001
![[0000-0002-2664-1354]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2664-1354")
— Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China - Tong Wang 0002 — Concordia University, Montreal, Canada
- Tong Wang 0003 — Harbin Institute of Technology, Research Institute of Intelligent Control and Systems, China (and 1 more)
- Tong Wang 0004 — Nanjing University of Aeronautics and Astronautics, Department of Mathematics, China
- Tong Wang 0005 — Harbin Engineering University, College of Information and Communication Engineering, China (and 1 more)
- Tong Wang 0006 — University of Edinburgh, Business School, UK
- Tong Wang 0007 — University of Massachusetts Boston, Department of Computer Science, MA, USA
- Tong Wang 0008 — Air Force Engineering University, School of Air and Missile Defense, Xi'an, China
- Tong Wang 0009 — Eindhoven University of Technology, The Netherlands
- Tong Wang 0010 — Harbin Institute of Technology, Shenzhen Graduate School, China (and 2 more)
- Tong Wang 0012 — Microsoft Research, Montréal, Canada (and 2 more)
- Tong Wang 0013 — Donghua University, College of Information Sciences and Technology, Shanghai, China (and 3 more)
- Tong Wang 0014 — Microsoft Research Asia, Beijing, China (and 1 more)
- Tong Wang 0015 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China (and 1 more)
- Tong Wang 0016 — Shanghai Second Polytechnic University, School of Computer and Information Engineering, Shanghai, China
- Tong Wang 0017 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
- Tong Wang 0018 — Toshiba Corporation, Corporate Research and Development Center, Wireless System Laboratory, Kawasaki, Japan (and 1 more)
- Tong Wang 0019 — Shanxi Medical University, School of Public Health, Division of Health Statistics, Taiyuan, China
- Tong Wang 0020 — Dalian Maritime University, Navigation College, Dalian, China
- Tong Wang 0021 — Northwestern Polytechnical University, School of Astronautics, Research Center for Intelligent Robotics, Xi'an, China (and 1 more)
- Tong Wang 0022 — Southeast University, Laboratory of Image Science and Technology and Key Laboratory of Computer Network and Information Integration, Nanjing, China (and 1 more)
- Tong Wang 0023 — Changchun University of Science and Technology, School of Electronic Information Engineering, Changchun, China
- Tong Wang 0024 — Shenyang University of Technology, School of Electrical Engineering, Shenyang, China
- Tong Wang 0025 — Beihang University, School of Electronic and Information Engineering, Beijing, China (and 1 more)
- Tong Wang 0026 — Harbin Engineering University, College of Information and Communication Engineering, Harbin, China (and 1 more)
- Tong Wang 0027 — Shanghai Jiao Tong University, Antai College of Economics and Management, Shanghai, China
- Tong Wang 0028 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Tong Wang 0029 — University of Stuttgart, Institute of Signal Processing and System Theory, Stuttgart, Germany
- Tong Wang 0030 — Zhejiang University of Technology, College of Mechanical Engineering, Key Laboratory of E&M, Hangzhou, China
- Tong Wang 0031 — Lanzhou University of Technology, School of Computer and Communication, Lanzhou, China
- Tong Wang 0032 — Beijing Technology and Business University, Business School, Beijing, China
- Tong Wang 0033 — University of Illinois at Urbana-Champaign, Department of Physics, Woese Institute for Genomic Biology, Urbana, IL, USA
- Tong Wang 0034 — Beijing University of Civil Engineering and Architecture, School of Geomatics and Urban Spatial Informatics, Beijing, China
- Tong Wang 0035 — Shaanxi Provincial Natural Gas Co., Ltd., Xi'an, China
- Tong Wang 0036 — University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan (and 1 more)
- Tong Wang 0037 — Shenyang Jianzhu University, School of Management, Shenyang, China
- Tong Wang 0038 — Harbin Normal University, Department of Geological Sciences, Harbin, China
- Tong Wang 0039 — Wuhan University, Computer School, Wuhan, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c7]Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin:
Sparse and Faithful Explanations Without Sparse Models. AISTATS 2024: 2071-2079- [c6]Yiyang Sun, Tong Wang, Cynthia Rudin:
Improving Decision Sparsity. NeurIPS 2024 - [i11]Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin:
Sparse and Faithful Explanations Without Sparse Models. CoRR abs/2402.09702 (2024) - [i10]Yiyang Sun, Tong Wang, Cynthia Rudin:
Improving Decision Sparsity. CoRR abs/2410.20483 (2024) - 2022
- [j7]Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang:
A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations. Decis. Support Syst. 152: 113647 (2022) - [j6]Tong Wang, Cynthia Rudin:
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects. INFORMS J. Comput. 34(3): 1626-1643 (2022) - [j5]Ronilo J. Ragodos, Tong Wang:
Disjunctive Rule Lists. INFORMS J. Comput. 34(6): 3259-3276 (2022) - [j4]Tong Wang, Cheng He, Fujie Jin, Yu (Jeffrey) Hu:
Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model. Inf. Syst. Res. 33(2): 659-677 (2022) - [c5]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. NeurIPS 2022 - [i9]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. CoRR abs/2211.03162 (2022) - 2021
- [j3]Tong Wang, Qihang Lin:
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model. J. Mach. Learn. Res. 22: 137:1-137:38 (2021) - [i8]Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang:
A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations. CoRR abs/2106.02605 (2021) - 2020
- [c4]Hassan Rafique, Tong Wang, Qihang Lin, Arshia Singhani:
Transparency Promotion with Model-Agnostic Linear Competitors. ICML 2020: 7898-7908
2010 – 2019
- 2019
- [i7]Tong Wang, Qihang Lin:
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model. CoRR abs/1905.04241 (2019) - [i6]Hassan Rafique, Tong Wang, Qihang Lin:
Model-Agnostic Linear Competitors - When Interpretable Models Compete and Collaborate with Black-Box Models. CoRR abs/1909.10467 (2019) - [i5]Tong Wang, Fujie Jin, Yu (Jeffrey) Hu, Yuan Cheng:
Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs. CoRR abs/1911.05702 (2019) - 2018
- [i4]Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang:
An Interpretable Model with Globally Consistent Explanations for Credit Risk. CoRR abs/1811.12615 (2018) - 2017
- [j2]Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille:
A Bayesian Framework for Learning Rule Sets for Interpretable Classification. J. Mach. Learn. Res. 18: 70:1-70:37 (2017) - [i3]Tong Wang, Cynthia Rudin:
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect. CoRR abs/1710.05426 (2017) - 2016
- [b1]Tong Wang:
Finding patterns in features and observations: new machine learning models with applications in computational criminology, marketing, and medicine. Massachusetts Institute of Technology, Cambridge, USA, 2016 - [c3]Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille:
Bayesian Rule Sets for Interpretable Classification. ICDM 2016: 1269-1274 - 2015
- [j1]Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri:
Finding Patterns with a Rotten Core: Data Mining for Crime Series with Cores. Big Data 3(1): 3-21 (2015) - [i2]Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille:
Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems. CoRR abs/1504.07614 (2015) - [i1]Tong Wang, Cynthia Rudin:
Learning Optimized Or's of And's. CoRR abs/1511.02210 (2015) - 2013
- [c2]Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri:
Detecting Patterns of Crime with Series Finder. AAAI (Late-Breaking Developments) 2013 - [c1]Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri:
Learning to Detect Patterns of Crime. ECML/PKDD (3) 2013: 515-530
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-30 20:49 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
