Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International conference on machine learning, 4212-4221, 2019 | 144 | 2019 |
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 | 78 | 2018 |
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 | 45 | 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 | 41 | 2017 |
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 | 37* | 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 | 36 | 2020 |
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 | 36 | 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 | 35 | 2017 |
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 | 34 | 2020 |
Federated unsupervised representation learning F Zhang, K Kuang, Z You, T Shen, J Xiao, Y Zhang, C Wu, Y Zhuang, X Li arXiv preprint arXiv:2010.08982, 2020 | 25 | 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 | 23 | 2020 |
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 | 22 | 2021 |
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 | 21 | 2020 |
Comprehensive information integration modeling framework for video titling S Zhang, Z Tan, Z Zhao, J Yu, K Kuang, T Jiang, J Zhou, H Yang, F Wu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 21 | 2020 |
Explainable automated graph representation learning with hyperparameter importance X Wang, S Fan, K Kuang, W Zhu International Conference on Machine Learning, 10727-10737, 2021 | 17 | 2021 |
Steering social media promotions with effective strategies K Kuang, M Jiang, P Cui, S Yang 2016 IEEE 16th International Conference on Data Mining (ICDM), 985-990, 2016 | 17 | 2016 |
Algorithmic decision making with conditional fairness R Xu, P Cui, K Kuang, B Li, L Zhou, Z Shen, W Cui Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 14 | 2020 |
Poet: Product-oriented video captioner for e-commerce S Zhang, Z Tan, J Yu, Z Zhao, K Kuang, J Liu, J Zhou, H Yang, F Wu Proceedings of the 28th ACM International Conference on Multimedia, 1292-1301, 2020 | 13 | 2020 |
Treatment effect estimation via differentiated confounder balancing and regression K Kuang, P Cui, B Li, M Jiang, Y Wang, F Wu, S Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (1), 1-25, 2019 | 11 | 2019 |
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 | 10 | 2021 |