Artikel mit Open-Access-Mandaten - Jiangchao YaoWeitere Informationen
Verfügbar: 34
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
Mandate: Research Foundation (Flanders)
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
Mandate: US National Science Foundation, Research Foundation (Flanders), National …
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
Mandate: Australian Research Council, National Natural Science Foundation of China
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
Mandate: National Natural Science Foundation of China
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
Mandate: National Natural Science Foundation of China
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
Mandate: National Natural Science Foundation of China
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
Mandate: Australian Research Council, National Natural Science Foundation of China
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
Mandate: National Natural Science Foundation of China
Contrastive Learning with Boosted Memorization
Z Zhou, J Yao, Y Wang, B Han, Y Zhang
International Conference on Machine Learning, 2022
Mandate: National Natural Science Foundation of China
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
Mandate: National Natural Science Foundation of China
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
J Zhu, G Yu, J Yao, T Liu, G Niu, M Sugiyama, B Han
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Mandate: Australian Research Council, National Natural Science Foundation of China
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
Mandate: National Natural Science Foundation of China
Grace: A generalized and personalized federated learning method for medical imaging
R Zhang, Z Fan, Q Xu, J Yao, Y Zhang, Y Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Mandate: National Natural Science Foundation of China
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Z Fan, Y Wang, J Yao, L Lyu, Y Zhang, Q Tian
IEEE International Conference on Data Mining, 2022
Mandate: National Natural Science Foundation of China
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
Z Fan, R Zhang, J Yao, B Han, Y Zhang, Y Wang
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Mandate: National Natural Science Foundation of China
Combating Representation Learning Disparity with Geometric Harmonization
Z Zhou, J Yao, F Hong, Y Zhang, B Han, Y Wang
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Mandate: National Natural Science Foundation of China
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
Mandate: Australian Research Council, National Natural Science Foundation of China
Combating bilateral edge noise for robust link prediction
Z Zhou, J Yao, J Liu, X Guo, Q Yao, L He, L Wang, B Zheng, B Han
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Mandate: National Natural Science Foundation of China
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
Mandate: Australian Research Council, National Natural Science Foundation of China
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
T Dai, R Zhang, F Hong, J Yao, Y Zhang, Y Wang
IEEE Transactions on Medical Imaging, 2024
Mandate: National Natural Science Foundation of China
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