Követés
Kun Kuang
Kun Kuang
E-mail megerősítve itt: zju.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Disentangled graph convolutional networks
J Ma, P Cui, K Kuang, X Wang, W Zhu
International conference on machine learning, 4212-4221, 2019
3442019
Bertgcn: Transductive text classification by combining gcn and bert
Y Lin, Y Meng, X Sun, Q Han, K Kuang, J Li, F Wu
arXiv preprint arXiv:2105.05727, 2021
2062021
Stable prediction across unknown environments
K Kuang, P Cui, S Athey, R Xiong, B Li
proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
1542018
Stable learning via sample reweighting
Z Shen, P Cui, T Zhang, K Kunag
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5692-5699, 2020
1292020
Federated unsupervised representation learning
F Zhang, K Kuang, L Chen, Z You, T Shen, J Xiao, Y Zhang, C Wu, F Wu, ...
Frontiers of Information Technology & Electronic Engineering 24 (8), 1181-1193, 2023
1242023
Stable prediction with model misspecification and agnostic distribution shift
K Kuang, R Xiong, P Cui, S Athey, B Li
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4485-4492, 2020
1242020
Causal inference
K Kuang, L Li, Z Geng, L Xu, K Zhang, B Liao, H Huang, P Ding, W Miao, ...
Engineering 6 (3), 253-263, 2020
1242020
Federated mutual learning
T Shen, J Zhang, X Jia, F Zhang, G Huang, P Zhou, K Kuang, F Wu, C Wu
arXiv preprint arXiv:2006.16765, 2020
1162020
Causally regularized learning with agnostic data selection bias
Z Shen, P Cui, K Kuang, B Li, P Chen
Proceedings of the 26th ACM international conference on Multimedia, 411-419, 2018
932018
Devlbert: Learning deconfounded visio-linguistic representations
S Zhang, T Jiang, T Wang, K Kuang, Z Zhao, J Zhu, J Yu, H Yang, F Wu
Proceedings of the 28th ACM International Conference on Multimedia, 4373-4382, 2020
862020
De-biased court’s view generation with causality
Y Wu, K Kuang, Y Zhang, X Liu, C Sun, J Xiao, Y Zhuang, L Si, F Wu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
762020
Estimating treatment effect in the wild via differentiated confounder balancing
K Kuang, P Cui, B Li, M Jiang, S Yang
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
742017
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 35 (7), 6866-6886, 2022
712022
Treatment effect estimation with data-driven variable decomposition
K Kuang, P Cui, B Li, M Jiang, S Yang, F Wang
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
682017
Shapley counterfactual credits for multi-agent reinforcement learning
J Li, K Kuang, B Wang, F Liu, L Chen, F Wu, J Xiao
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
552021
Trustworthy recommender systems
S Wang, X Zhang, Y Wang, F Ricci
ACM Transactions on Intelligent Systems and Technology, 2022
542022
Judgment prediction via injecting legal knowledge into neural networks
L Gan, K Kuang, Y Yang, F Wu
Proceedings of the AAAI conference on artificial intelligence 35 (14), 12866 …, 2021
462021
Ba-gnn: On learning bias-aware graph neural network
Z Chen, T Xiao, K Kuang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 3012-3024, 2022
432022
Analysis and applications of class-wise robustness in adversarial training
Q Tian, K Kuang, K Jiang, F Wu, Y Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
422021
Learning decomposed representations for treatment effect estimation
A Wu, J Yuan, K Kuang, B Li, R Wu, Q Zhu, Y Zhuang, F Wu
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4989-5001, 2022
412022
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20