Fairness in graph mining: A survey Y Dong, J Ma, S Wang, C Chen, J Li IEEE Transactions on Knowledge and Data Engineering, 2023 | 93 | 2023 |
Learning fair node representations with graph counterfactual fairness J Ma, R Guo, M Wan, L Yang, A Zhang, J Li Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 73 | 2022 |
Learning causal effects on hypergraphs J Ma, M Wan, L Yang, J Li, B Hecht, J Teevan Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 49 | 2022 |
Clear: Generative counterfactual explanations on graphs J Ma, R Guo, S Mishra, A Zhang, J Li Advances in neural information processing systems 35, 25895-25907, 2022 | 40 | 2022 |
Learning from crowds by modeling common confusions Z Chu, J Ma, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 5832-5840, 2021 | 40 | 2021 |
Deconfounding with networked observational data in a dynamic environment J Ma, R Guo, C Chen, A Zhang, J Li Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 39 | 2021 |
Assessing the causal impact of COVID-19 related policies on outbreak dynamics: A case study in the US J Ma, Y Dong, Z Huang, D Mietchen, J Li Proceedings of the ACM Web Conference 2022, 2678-2686, 2022 | 23 | 2022 |
Interpreting unfairness in graph neural networks via training node attribution Y Dong, S Wang, J Ma, N Liu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7441-7449, 2023 | 21 | 2023 |
Performance evaluation of wifi direct for data dissemination in mobile social networks Z Mao, J Ma, Y Jiang, B Yao 2017 IEEE Symposium on Computers and Communications (ISCC), 1213-1218, 2017 | 20 | 2017 |
Empowering next poi recommendation with multi-relational modeling Z Huang, J Ma, Y Dong, NZ Foutz, J Li Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 19 | 2022 |
Selective sampling for sensor type classification in buildings J Ma, D Hong, H Wang 2020 19th ACM/IEEE International Conference on Information Processing in …, 2020 | 12 | 2020 |
Learning causality with graphs J Ma, J Li AI Magazine 43 (4), 365-375, 2022 | 11 | 2022 |
Multi-cause effect estimation with disentangled confounder representation J Ma, R Guo, A Zhang, J Li Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 11 | 2021 |
Causal inference in recommender systems: A survey of strategies for bias mitigation, explanation, and generalization Y Zhu, J Ma, J Li arXiv preprint arXiv:2301.00910, 2023 | 10 | 2023 |
Top-k Critical Vertices Query on Shortest Path J Ma, B Yao, X Gao, Y Shen, M Guo IEEE Transactions on Knowledge and Data Engineering 30 (10), 1999-2012, 2018 | 6 | 2018 |
Learning for Counterfactual Fairness from Observational Data J Ma, R Guo, A Zhang, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
Path-Specific Counterfactual Fairness for Recommender Systems Y Zhu, J Ma, L Wu, Q Guo, L Hong, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
Fair few-shot learning with auxiliary sets S Wang, J Ma, L Cheng, J Li arXiv preprint arXiv:2308.14338, 2023 | 2 | 2023 |
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training Q Huang, J Ma, J Li, H Sun, Y Chang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 2 | 2022 |
SD-Attack: Targeted Spectral Attacks on Graphs X Zhang, J Ma, Y Dong, C Chen, M Gao, J Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 352-363, 2024 | 1 | 2024 |