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Junyuan Xie
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Cited by
Year
Unsupervised deep embedding for clustering analysis
J Xie, R Girshick, A Farhadi
International conference on machine learning, 478-487, 2016
21822016
Image Denoising and Inpainting with Deep Neural Networks
J Xie, L Xu, E Chen
Advances in Neural Information Processing Systems 25, 350-358, 2012
15972012
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
10122019
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
4762018
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
4142016
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
2402019
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
1542020
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
1522019
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
1022018
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
742015
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
502020
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
432021
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
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
112021
Defending against reconstruction attack in vertical federated learning
J Sun, Y Yao, W Gao, J Xie, C Wang
arXiv preprint arXiv:2107.09898, 2021
92021
Differentially Private Label Protection in Split Learning
X Yang, J Sun, Y Yao, J Xie, C Wang
arXiv preprint arXiv:2203.02073, 2022
42022
Transfer learning with deep neural networks for computer vision
J Xie
22019
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
12022
DATA PROTECTION METHOD AND APPARATUS, AND SERVER AND MEDIUM
J Sun, W Gao, H Zhang, C Wang, J Xie, L Wu, X Liu
US Patent App. 17/816,250, 2022
2022
METHOD AND APPARATUS FOR GENERATING PREDICTION INFORMATION, ELECTRONIC DEVICE, AND COMPUTER READABLE MEDIUM
L WU, L Zhang, J Xie, D WU, J Zhang, C Chen, L LI, C Fang, K Liu, ...
US Patent App. 17/882,397, 2022
2022
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