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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
33742016
Image Denoising and Inpainting with Deep Neural Networks
J Xie, L Xu, E Chen
Advances in Neural Information Processing Systems 25, 350-358, 2012
18142012
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
17442019
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
7622018
Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks
J Xie, R Girshick, A Farhadi
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
5132016
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
3162019
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
2242019
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, ...
Journal of Machine Learning Research 21 (23), 1-7, 2020
2172020
XGBoost: Extreme gradient boosting, 2021
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 1 (1.1), 2021
1772021
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
1752018
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
1322021
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. R package version 0.90. 0.2
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R Package Version 0.90. 0.2, 2019
342019
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
322021
Differentially private label protection in split learning
X Yang, J Sun, Y Yao, J Xie, C Wang
arXiv preprint arXiv:2203.02073, 2022
272022
Defending against reconstruction attack in vertical federated learning
J Sun, Y Yao, W Gao, J Xie, C Wang
arXiv preprint arXiv:2107.09898, 2021
272021
Dpauc: Differentially private auc computation in federated learning
J Sun, X Yang, Y Yao, J Xie, D Wu, C Wang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15170 …, 2023
42023
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
42022
Transfer learning with deep neural networks for computer vision
J Xie
32019
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, LI Longyijia, F Chenliaohui, ...
US Patent App. 17/882,397, 2022
12022
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