Jiangchao Yao
Jiangchao Yao
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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
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
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
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
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
DeepInception: Hypnotize large language model to be jailbreaker
X Li, Z Zhou, J Zhu, J Yao, T Liu, B Han
arXiv preprint arXiv:2311.03191, 2023
Device-Cloud Collaborative Learning for Recommendation
J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang
KDD 2021, 2021
Federated domain generalization with generalization adjustment
R Zhang, Q Xu, J Yao, Y Zhang, Q Tian, Y Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
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
Contrastive Learning with Boosted Memorization
Z Zhou, J Yao, Y Wang, B Han, Y Zhang
International Conference on Machine Learning, 2022
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
Long-Tailed Partial Label Learning via Dynamic Rebalancing
F Hong, J Yao, Z Zhou, Y Zhang, Y Wang
International Conference on Learning Representation, 2023
CogKR: cognitive graph for multi-hop knowledge reasoning
Z Du, C Zhou, J Yao, T Tu, L Cheng, H Yang, J Zhou, J Tang
IEEE Transactions on Knowledge and Data Engineering, 2021
Degeneration in vae: in the light of fisher information loss
H Zheng, J Yao, Y Zhang, IW Tsang
arXiv preprint arXiv:1802.06677, 2018
Class-Balancing Diffusion Models
Y Qin, H Zheng, J Yao, M Zhou, Y Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
F Zhang, T Zhou, B Li, H He, C Ma, T Zhang, J Yao, Y Zhang, Y Wang
Thirty-seventh Conference on Neural Information Processing Systems, 2023
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