Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International conference on machine learning, 4212-4221, 2019 | 387 | 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 | 256 | 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 | 174 | 2018 |
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 | 153 | 2023 |
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 | 143 | 2020 |
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 | 139 | 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 | 138 | 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 | 132 | 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 | 101 | 2018 |
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 | 98 | 2022 |
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 | 89 | 2020 |
De-biased courts 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 | 84 | 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 | 78 | 2017 |
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 | 77 | 2017 |
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 | 63 | 2021 |
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 | 57 | 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 | 53 | 2022 |
Duet: A tuning-free device-cloud collaborative parameters generation framework for efficient device model generalization Z Lv, W Zhang, S Zhang, K Kuang, F Wang, Y Wang, Z Chen, T Shen, ... Proceedings of the ACM Web Conference 2023, 3077-3085, 2023 | 52 | 2023 |
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 | 52 | 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 | 49 | 2021 |