Jiangchao Yao
Jiangchao Yao
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Collaborative learning for weakly supervised object detection
J Wang, J Yao, Y Zhang, R Zhang
IJCAI, 2018
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
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
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ...
IEEE Transactions on Knowledge and Data Engineering, 2022
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
Device-Cloud Collaborative Learning for Recommendation
J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang
KDD 2021, 2021
Reliable Adversarial Distillation with Unreliable Teachers
J Zhu, J Yao, B Han, J Zhang, T Liu, G Niu, J Zhou, J Xu, H Yang
International Conference on Learning Representation, 2022
Degeneration in vae: in the light of fisher information loss
H Zheng, J Yao, Y Zhang, IW Tsang
arXiv preprint arXiv:1802.06677, 2018
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
Variational collaborative learning for user probabilistic representation
K Cui, X Chen, J Yao, Y Zhang
AAAI workshop, 2018
Graph neural networks in modern recommender systems
Y Chu, J Yao, C Zhou, H Yang
Graph Neural Networks: Foundations, Frontiers, and Applications, 423-445, 2022
Contrastive attraction and contrastive repulsion 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
Discovering user interests from social images
J Yao, Y Zhang, I Tsang, J Sun
MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik …, 2017
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
Decoupled Variational Embedding for Signed Directed Networks
X Chen, J Yao, M Li, Y Zhang, Y Wang
ACM Transactions on the Web, 2020
The system can't perform the operation now. Try again later.
Articles 1–20