Jing Ma

According to our database, Jing Ma authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.

Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang

ACM Trans. Knowl. Discov. Data, April, 2024

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.

Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li

CoRR, 2024

Certified Causal Defense with Generalizable Robustness.

Yiran Qiao, Yu Yin, Chen Chen, Jing Ma

CoRR, 2024

A Benchmark for Fairness-Aware Graph Learning.

Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li

CoRR, 2024

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.

Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma, Yu Yin

CoRR, 2024

PyGDebias: A Python Library for Debiasing in Graph Learning.

Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SD-Attack: Targeted Spectral Attacks on Graphs.

Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

View-consistent Object Removal in Radiance Fields.

Yiren Lu, Jing Ma, Yu Yin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives.

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li

IEEE Trans. Knowl. Data Eng., October, 2023

Causal Effect Estimation under Interference on Hypergraphs.

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

AI Matters, June, 2023

Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization.

Yaochen Zhu, Jing Ma, Jundong Li

CoRR, 2023

Path-Specific Counterfactual Fairness for Recommender Systems.

Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.

Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning for Counterfactual Fairness from Observational Data.

Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Causal Effects on Hypergraphs (Extended Abstract).

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fair Few-Shot Learning with Auxiliary Sets.

Song Wang, Jing Ma, Lu Cheng, Jundong Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.

Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Chen Chen, Jundong Li

CoRR, 2022

Learning Causality with Graphs.

Jing Ma, Jundong Li

AI Mag., 2022

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.

Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Fair Node Representations with Graph Counterfactual Fairness.

Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Empowering Next POI Recommendation with Multi-Relational Modeling.

Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.

Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

CLEAR: Generative Counterfactual Explanations on Graphs.

Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Causal Effects on Hypergraphs.

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Deconfounding with Networked Observational Data in a Dynamic Environment.

Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li

Proceedings of the WSDM '21, 2021

Multi-Cause Effect Estimation with Disentangled Confounder Representation.

Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning from Crowds by Modeling Common Confusions.

Zhendong Chu, Jing Ma, Hongning Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Selective Sampling for Sensor Type Classification in Buildings.

Jing Ma, Dezhi Hong, Hongning Wang

Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

2018

Top-kCritical Vertices Query on Shortest Path.

Jing Ma, Bin Yao, Xiaofeng Gao, Yanyan Shen, Minyi Guo

IEEE Trans. Knowl. Data Eng., 2018

2017

Performance evaluation of WiFi Direct for data dissemination in mobile social networks.

Zhifei Mao, Jing Ma, Yuming Jiang, Bin Yao

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017