Jiangchao Yao
Jiangchao Yao
Alibaba Group
Dirección de correo verificada de sjtu.edu.cn - Página principal
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How does disagreement help generalization against label corruption?
X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama
International Conference on Machine Learning, 2019
2492019
Masking: A new perspective of noisy supervision
B Han*, J Yao*, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama
Advances in Neural Information Processing Systems, 5836-5846, 2018
1262018
Deep learning from noisy image labels with quality embedding
J Yao, J Wang, IW Tsang, Y Zhang, J Sun, C Zhang, R Zhang
IEEE Transactions on Image Processing 28 (4), 1909-1922, 2018
522018
Safeguarded dynamic label regression for noisy supervision
J Yao, H Wu, Y Zhang, IW Tsang, J Sun
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9103-9110, 2019
342019
Collaborative learning for weakly supervised object detection
J Wang, J Yao, Y Zhang, R Zhang
IJCAI, 2018
292018
Joint latent Dirichlet allocation for social tags
J Yao, Y Wang, Y Zhang, J Sun, J Zhou
IEEE Transactions on Multimedia 20 (1), 224-237, 2017
212017
Degeneration in VAE: in the light of fisher information loss
H Zheng, J Yao, Y Zhang, IW Tsang
arXiv preprint arXiv:1802.06677, 2018
122018
Sparse-interest network for sequential recommendation
Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
92021
Bayes EMbedding (BEM) Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Y Ye, X Wang, J Yao, K Jia, J Zhou, Y Xiao, H Yang
Proceedings of the 28th ACM International Conference on Information and …, 2019
92019
Understanding vaes in fisher-shannon plane
H Zheng, J Yao, Y Zhang, IW Tsang, J Wang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5917-5924, 2019
92019
Learning on Attribute-Missing Graphs
X Chen, S Chen, J Yao, H Zheng, Y Zhang, IW Tsang
IEEE transactions on pattern analysis and machine intelligence, 2020
82020
Variational collaborative learning for user probabilistic representation
K Cui, X Chen, J Yao, Y Zhang
AAAI workshop, 2018
52018
Device-Cloud Collaborative Learning for Recommendation
J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang
KDD 2021, 2021
42021
Learning with group noise
Q Wang*, J Yao*, C Gong, T Liu, M Gong, H Yang, B Han
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
42021
Discovering user interests from social images
J Yao, Y Zhang, I Tsang, J Sun
International Conference on Multimedia Modeling, 160-172, 2017
42017
Recommendation with Hybrid Interest Model
H Zhao, X Chen, J Yao, Y Zhang, Y Wang
2018 ICDM workshop, 1323-1331, 2018
32018
Preference aware recommendation based on categorical information
Z Rao, J Yao, Y Zhang, R Zhang
International Conference on Machine Learning and Applications, 865-870, 2016
32016
Contrastive Conditional Transport for Representation Learning
H Zheng, X Chen, J Yao, H Yang, C Li, Y Zhang, H Zhang, I Tsang, J Zhou, ...
arXiv preprint arXiv:2105.03746, 2021
22021
Decoupled Variational Embedding for Signed Directed Networks
X Chen, J Yao, M Li, Y Zhang, Y Wang
ACM Transactions on the Web, 2020
22020
Collaborative label correction via entropy thresholding
H Wu, J Yao, J Wang, Y Chen, Y Zhang, Y Wang
2019 IEEE International Conference on Data Mining (ICDM), 1390-1395, 2019
22019
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