Jing Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Observational Data

Recent Advances

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR (2024)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) (2024)
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD (2024)
Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) (2024)
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
A Benchmark for Fairness-Aware Graph Learning. CoRR (2024)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI (2023)
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Learning for Counterfactual Fairness from Observational Data. CoRR (2023)
Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Song Wang, Jing Ma, Lu Cheng, Jundong Li
Fair Few-shot Learning with Auxiliary Sets. CoRR (2023)
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Learning for Counterfactual Fairness from Observational Data. KDD (2023)
Song Wang, Jing Ma, Lu Cheng, Jundong Li
Fair Few-Shot Learning with Auxiliary Sets. ECAI (2023)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Causal Effect Estimation under Interference on Hypergraphs. AI Matters 9 (2) (2023)
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Path-Specific Counterfactual Fairness for Recommender Systems. KDD (2023)
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. CoRR (2023)
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI (2023)
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD (2023)
Jing Ma, Jundong Li
Learning Causality with Graphs. AI Mag. 43 (4) (2022)
Zhendong Chu, Jing Ma, Hongning Wang
Learning from Crowds by Modeling Common Confusions. AAAI (2021)
Zhendong Chu, Jing Ma, Hongning Wang
Learning from Crowds by Modeling Common Confusions. CoRR (2020)
Jing Ma, Dezhi Hong, Hongning Wang
Selective Sampling for Sensor Type Classification in Buildings. IPSN (2020)
Jing Ma, Bin Yao, Xiaofeng Gao, Yanyan Shen, Minyi Guo
Top-kCritical Vertices Query on Shortest Path. IEEE Trans. Knowl. Data Eng. 30 (10) (2018)
Zhifei Mao, Jing Ma, Yuming Jiang, Bin Yao
Performance evaluation of WiFi Direct for data dissemination in mobile social networks. ISCC (2017)