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Tong He
Tong He
Senior Applied Scientist @ AWS
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Package ‘xgboost’
T Chen, T He, M Benesty, V Khotilovich
R version 90 (1-66), 40, 2019
3454*2019
Resnest: Split-attention networks
H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
15812022
Bag of Tricks for Image Classification with Convolutional Neural Networks
T He, Z Zhang, H Zhang, Z Zhang, J Xie, M Li
arXiv preprint arXiv:1812.01187, 2018
15782018
Deep graph library: A graph-centric, highly-performant package for graph neural networks
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
arXiv preprint arXiv:1909.01315, 2019
9882019
SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines
T He, M Heidemeyer, F Ban, A Cherkasov, M Ester
Journal of cheminformatics 9 (1), 1-14, 2017
327*2017
Higgs boson discovery with boosted trees
T Chen, T He
JMLR: Workshop and Conference Proceedings 42, 2015
2182015
Bag of freebies for training object detection neural networks
Z Zhang, T He, H Zhang, Z Zhang, J Xie, M Li
arXiv preprint arXiv:1902.04103, 2019
2172019
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
The Journal of Machine Learning Research 21 (1), 845-851, 2020
2072020
Improving semantic segmentation via efficient self-training
Y Zhu, Z Zhang, C Wu, Z Zhang, T He, H Zhang, R Manmatha, M Li, ...
IEEE transactions on pattern analysis and machine intelligence 46 (3), 1589-1602, 2021
982021
Progressive coordinate transforms for monocular 3d object detection
L Wang, L Zhang, Y Zhu, Z Zhang, T He, M Li, X Xue
Advances in Neural Information Processing Systems 34, 13364-13377, 2021
672021
Bridging the gap to real-world object-centric learning
M Seitzer, M Horn, A Zadaianchuk, D Zietlow, T Xiao, CJ Simon-Gabriel, ...
arXiv preprint arXiv:2209.14860, 2022
602022
Grin: Generative relation and intention network for multi-agent trajectory prediction
L Li, J Yao, L Wenliang, T He, T Xiao, J Yan, D Wipf, Z Zhang
Advances in Neural Information Processing Systems 34, 27107-27118, 2021
322021
Learning hierarchical graph neural networks for image clustering
Y Xing, T He, T Xiao, Y Wang, Y Xiong, W Xia, D Wipf, Z Zhang, S Soatto
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
272021
Dynamic mini-batch sgd for elastic distributed training: Learning in the limbo of resources
H Lin, H Zhang, Y Ma, T He, Z Zhang, S Zha, M Li
arXiv preprint arXiv:1904.12043, 2019
192019
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
J Cheng, X Liang, X Shi, T He, T Xiao, M Li
arXiv preprint arXiv:2302.08908, 2023
182023
Learning manifold dimensions with conditional variational autoencoders
Y Zheng, T He, Y Qiu, DP Wipf
Advances in Neural Information Processing Systems 35, 34709-34721, 2022
82022
Augmenting LASSO regression with decision tree for identifying the correlation of genetic polymorphism and adverse events.
XZ Yi-fei Cai, Zhaohui Liang, Tong He, Gang Zhang, Jimmy Xiangji Huang
BIBM 2013, 355-360, 2013
5*2013
Self-supervised Amodal Video Object Segmentation
J Yao, Y Hong, C Wang, T Xiao, T He, F Locatello, DP Wipf, Y Fu, Z Zhang
Advances in Neural Information Processing Systems 35, 6278-6291, 2022
32022
PSS: Progressive sample selection for open-world visual representation learning
T Cao, Y Wang, Y Xing, T Xiao, T He, Z Zhang, H Zhou, J Tighe
European Conference on Computer Vision, 278-294, 2022
32022
Molecular quality assurance methods for use in sequencing
S Aparicio, S Sohrab, R Aguirre-hernandez, L Prentice, P Franchini, ...
US Patent App. 17/154,313, 2021
22021
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