Builders & open source
Tong He
Co-author of the XGBoost R package; committer on DGL, GluonCV and Apache MXNet; former AWS applied scientist
Tong He is a committer on the open-source projects Deep Graph Library (DGL), GluonCV, Apache MXNet and XGBoost, and created or maintained several R packages on CRAN, including xgboost; the XGBoost R package's DESCRIPTION file lists Tong He as an author alongside Tianqi Chen. From 2018, Tong He worked as a Senior Applied Scientist at Amazon Web Services, with research interests in computer vision and machine learning. Tong He's homepage notes joining a quantitative fund in September 2025.123
At a glance
- Current role
- None confirmed in the sources
- Sector
- Company
- Work listed
- 2
- Honors
- 2
- Sources cited
- 8
- Profile reviewed
Career
Tong He earned a master's degree in computing science at Simon Fraser University in 2016 under the supervision of Martin Ester. After working as an embedded software developer at Fortinet from 2016 to 2017, Tong He joined Amazon Web Services in February 2018 as a Senior Applied Scientist working on computer vision and machine learning.1
In September 2025 Tong He's homepage noted a move to a quantitative fund.1
Open-source work
Tong He is listed as an author of the xgboost R package alongside Tianqi Chen and others, and also created or maintained the SwarmSVM, rLTP and pullword packages on CRAN. Tong He is a committer on XGBoost, Apache MXNet, GluonCV and the Deep Graph Library, and co-authored the 2019 paper describing the GluonCV and GluonNLP toolkits.1243
Research
With Tianqi Chen, Tong He wrote "Higgs boson discovery with boosted trees" for the 2014 NIPS workshop on high-energy physics and machine learning. At AWS, Tong He was first author of Bag of Tricks for Image Classification with Convolutional Neural Networks (2018), which collected training refinements for image classifiers, and later co-authored papers on preference optimization and sparse autoencoders accepted at ICML 2025.561
Work and contributions
XGBoost R package Open-source code
Listed with the "aut" (author) role in the R package's DESCRIPTION file, and named on Tong He's homepage as a creator or maintainer of the xgboost package on CRAN and a committer on XGBoost.217
Deep Graph Library, GluonCV and Apache MXNet Open-source code
Committer on Deep Graph Library (DGL), GluonCV and Apache MXNet, per Tong He's homepage; the GitHub profile pins dmlc/dgl, dmlc/xgboost, apache/mxnet and dmlc/gluon-cv.138
Timeline
- Received CERN's Special High Energy Physics meets Machine Learning Award.1
- Received the ASA John M. Chambers Statistical Software Award and completed an MS at Simon Fraser University.1
- Joined Amazon Web Services as a Senior Applied Scientist.1
- Released Bag of Tricks for Image Classification with Convolutional Neural Networks as first author.6
- Co-authored the GluonCV and GluonNLP toolkit paper.4
- Joined a quantitative fund.1
Documented roles
The sources do not confirm a current role; these are the roles they document.
- Senior Applied Scientist (from 2018), Amazon Web Services1
Honors and recognition
Companies in their history
- Amazon 39 people in the wiki
Related people
- Angjoo KanazawaConnected to Amazon
- Alex SmolaConnected to Amazon
- Jitendra MalikConnected to Amazon
- Lorenzo StellaConnected to Amazon
- Bratin SahaConnected to Amazon
- Francisco MassaML frameworks and libraries · Computer vision
- Nicolas HugML frameworks and libraries · Computer vision
- Yuxin WuComputer vision · ML frameworks and libraries
- Ross GirshickComputer vision · ML frameworks and libraries
- Sayak PaulComputer vision · ML frameworks and libraries
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References
8 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026
- Tong He — About Me
- dmlc/xgboost R-package DESCRIPTION (authors)
- hetong007 (Tong He) on GitHub
- GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing (arXiv 1907.04433)
- Tong He — Publications
- Bag of Tricks for Image Classification with Convolutional Neural Networks (arXiv 1812.01187)
- dmlc/xgboost LICENSE (Apache License 2.0)
- dmlc/dgl LICENSE (Apache License 2.0)