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Jing Ma
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Year
Fairness in graph mining: A survey
Y Dong, J Ma, S Wang, C Chen, J Li
IEEE Transactions on Knowledge and Data Engineering, 2023
772023
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
682022
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
382022
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
352022
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
352021
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
322021
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
212022
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
192023
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
192017
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
142022
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
122020
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
102021
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
92023
Learning causality with graphs
J Ma, J Li
AI Magazine 43 (4), 365-375, 2022
72022
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
62018
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
42023
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
42023
Fair few-shot learning with auxiliary sets
S Wang, J Ma, L Cheng, J Li
arXiv preprint arXiv:2308.14338, 2023
22023
Causal Inference on Graphs
J Ma, R Guo, J Li
Machine Learning for Causal Inference, 53-78, 2023
12023
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection
J Ma, C Chen, A Vullikanti, R Mishra, G Madden, D Borrajo, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
12023
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