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Jing Ma
Tytuł
Cytowane przez
Cytowane przez
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Fairness in graph mining: A survey
Y Dong, J Ma, S Wang, C Chen, J Li
IEEE Transactions on Knowledge and Data Engineering 35 (10), 10583-10602, 2023
1382023
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
982022
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
732022
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
652022
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
512021
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
442021
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
342022
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
322023
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
262022
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
232017
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law
ZZ Chen, J Ma, X Zhang, N Hao, A Yan, A Nourbakhsh, X Yang, ...
arXiv preprint arXiv:2405.01769, 2024
202024
Production forecasting with the interwell interference by integrating graph convolutional and long short-term memory neural network
E Du, Y Liu, Z Cheng, L Xue, J Ma, X He
SPE Reservoir Evaluation & Engineering 25 (02), 197-213, 2022
202022
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
172023
Learning causality with graphs
J Ma, J Li
Ai Magazine 43 (4), 365-375, 2022
172022
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
152021
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
152020
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
102023
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
82023
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
72023
Causal inference with large language model: A survey
J Ma
arXiv preprint arXiv:2409.09822, 2024
62024
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