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Junyuan Xie
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Year
Unsupervised deep embedding for clustering analysis
J Xie, R Girshick, A Farhadi
International conference on machine learning, 478-487, 2016
20472016
Image Denoising and Inpainting with Deep Neural Networks
J Xie, L Xu, E Chen
Advances in Neural Information Processing Systems 25, 350-358, 2012
15652012
Bag of tricks for image classification with convolutional neural networks
T He, Z Zhang, H Zhang, Z Zhang, J Xie, M Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
9212019
Gaan: Gated attention networks for learning on large and spatiotemporal graphs
J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung
arXiv preprint arXiv:1803.07294, 2018
4312018
Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks
J Xie, R Girshick, A Farhadi
European conference on computer vision, 842-857, 2016
4052016
Co-occurrent features in semantic segmentation
H Zhang, H Zhang, C Wang, J Xie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2292019
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
1442019
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, ...
J. Mach. Learn. Res. 21 (23), 1-7, 2020
1432020
xgboost: extreme gradient boosting. R package version 0.71. 2
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
Grin Verlag: München, Germnay, 2018
912018
xgboost: Extreme Gradient Boosting (2017)
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 0.6-4, 2015
692015
On the feasibility of user de-anonymization from shared mobile sensor data
ND Lane, J Xie, T Moscibroda, F Zhao
Proceedings of the Third International Workshop on Sensing Applications on …, 2012
422012
Xgboost: Extreme gradient boosting. 2020
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 1 (1.1), 2020
412020
Label leakage and protection in two-party split learning
O Li, J Sun, X Yang, W Gao, H Zhang, J Xie, V Smith, C Wang
arXiv preprint arXiv:2102.08504, 2021
352021
Vertical federated learning without revealing intersection membership
J Sun, X Yang, Y Yao, A Zhang, W Gao, J Xie, C Wang
arXiv preprint arXiv:2106.05508, 2021
72021
Defending against reconstruction attack in vertical federated learning
J Sun, Y Yao, W Gao, J Xie, C Wang
arXiv preprint arXiv:2107.09898, 2021
52021
Differentially Private Label Protection in Split Learning
X Yang, J Sun, Y Yao, J Xie, C Wang
arXiv preprint arXiv:2203.02073, 2022
12022
Transfer learning with deep neural networks for computer vision
J Xie
12019
DPAUC: Differentially Private AUC Computation in Federated Learning
J Sun, X Yang, Y Yao, J Xie, D Wu, C Wang
arXiv preprint arXiv:2208.12294, 2022
2022
Differentially Private AUC Computation in Vertical Federated Learning
J Sun, X Yang, Y Yao, J Xie, D Wu, C Wang
arXiv preprint arXiv:2205.12412, 2022
2022
A Social Influence Model Based On Circuit Theory
B Xiang, E Chen, Q Liu, H Xiong, Y Yang, J Xie
arXiv preprint arXiv:1205.6024, 2012
2012
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