| Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International conference on machine learning, 4212-4221, 2019 | 336 | 2019 |
| 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 | 198 | 2021 |
| 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 | 153 | 2018 |
| 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 | 126 | 2020 |
| 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 | 122 | 2023 |
| 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 | 121 | 2020 |
| 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 | 120 | 2020 |
| 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 | 107 | 2020 |
| 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 | 94 | 2018 |
| 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 | 85 | 2020 |
| 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 | 74 | 2017 |
| 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 | 71 | 2020 |
| 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 | 67 | 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 35 (7), 6866-6886, 2022 | 65 | 2022 |
| 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 | 54 | 2021 |
| Trustworthy recommender systems S Wang, X Zhang, Y Wang, F Ricci ACM Transactions on Intelligent Systems and Technology, 2022 | 48 | 2022 |
| 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 | 46 | 2021 |
| 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 | 42 | 2022 |
| 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 | 40 | 2022 |
| 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 | 39 | 2021 |
Fei WuProfessor of Computer Science, Zhejiang University在 cs.zju.edu.cn 的电子邮件经过验证
