Jing Ma

70 papers A* 17A 5B 1C 1Journal 38Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models.
CoRR
Yiran Qiao, Yiren Lu, Yunlai Zhou, Rui Yang, Linlin Hou, Yu Yin, Jing Ma
2026 J jnl
DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering.
CoRR
Yiran Qiao, Yiren Lu, Yunlai Zhou, Rui Yang, Linlin Hou, Yu Yin, Jing Ma
2026 A conf
Explaining the 'Unexplainable' Large Language Models.
WSDM
Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2026 J jnl
HugRAG: Hierarchical Causal Knowledge Graph Design for RAG.
CoRR
Nengbo Wang, Tuo Liang, Vikash Singh, Chaoda Song, Van Yang, Yu Yin, Jing Ma, Jagdip Singh, Vipin Chaudhary
2026 J jnl
Ranking Reasoning LLMs under Test-Time Scaling.
CoRR
Mohsen Hariri, Michael Hinczewski, Jing Ma, Vipin Chaudhary
2025 B conf
Adaptive Degree-Based Conformal Prediction for Individual Treatment Effect Estimation on Networked Data.
IEEE Big Data
Xiaofan Zhou, Jing Ma, Lu Cheng
2025 J jnl
CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data.
CoRR
Disheng Liu, Yiran Qiao, Wuche Liu, Yiren Lu, Yunlai Zhou, Tuo Liang, Yu Yin, Jing Ma
2025 A* conf
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables.
ICLR
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2025 — conf
Causal Inference with Large Language Model: A Survey.
NAACL (Findings)
Jing Ma
2025 — conf
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation.
ACL (Findings)
Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary
2025 J jnl
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation.
CoRR
Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary
2025 A* conf
Certified Causal Defense with Generalizable Robustness.
AAAI
Yiran Qiao, Yu Yin, Chen Chen, Jing Ma
2025 J jnl
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering.
CoRR
Yiran Qiao, Disheng Liu, Yiren Lu, Yu Yin, Mengnan Du, Jing Ma
2025 — conf
Fairness-Aware Graph Learning: A Benchmark.
KDD (2)
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025 J jnl
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
Trans. Mach. Learn. Res.
Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2025 — conf
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design.
NAACL (Findings)
Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan
2025 J jnl
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design.
CoRR
Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan
2025 A conf
Invariant Shape Representation Learning for Image Classification.
WACV
Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang
2025 J jnl
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models.
CoRR
Zirui He, Haiyan Zhao, Yiran Qiao, Fan Yang, Ali Payani, Jing Ma, Mengnan Du
2025 J jnl
Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting.
CoRR
Yiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song, Tuo Liang, Jing Ma, Yu Yin
2025 J jnl
When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?
CoRR
Tuo Liang, Zhe Hu, Jing Li, Hao Zhang, Yiren Lu, Yunlai Zhou, Yiran Qiao, Disheng Liu, Jeirui Peng, Jing Ma, Yu Yin
2024 J jnl
A Benchmark for Fairness-Aware Graph Learning.
CoRR
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2024 J jnl
A survey of out-of-distribution generalization for graph machine learning from a causal view.
AI Mag.
Jing Ma
2024 A* conf
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
KDD
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
CoRR
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
Certified Causal Defense with Generalizable Robustness.
CoRR
Yiran Qiao, Yu Yin, Chen Chen, Jing Ma
2024 A* conf
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.
NeurIPS
Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma, Yu Yin
2024 J jnl
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.
CoRR
Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma, Yu Yin
2024 A* conf
GNNs Also Deserve Editing, and They Need It More Than Once.
ICML
Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu
2024 J jnl
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
CoRR
Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li
2024 J jnl
Invariant Shape Representation Learning For Image Classification.
CoRR
Tonmoy Hossain, Jing Ma, Jundong Li, Miaomiao Zhang
2024 J jnl
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.
ACM Trans. Knowl. Discov. Data
Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang
2024 — conf
PyGDebias: A Python Library for Debiasing in Graph Learning.
WWW (Companion Volume)
Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2024 — conf
SD-Attack: Targeted Spectral Attacks on Graphs.
PAKDD (2)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024 A* conf
View-consistent Object Removal in Radiance Fields.
ACM Multimedia
Yiren Lu, Jing Ma, Yu Yin
2024 J jnl
View-consistent Object Removal in Radiance Fields.
CoRR
Yiren Lu, Jing Ma, Yu Yin
2023 A* conf
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
KDD
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023 J jnl
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
CoRR
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023 J jnl
Causal Effect Estimation under Interference on Hypergraphs.
AI Matters
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023 J jnl
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization.
CoRR
Yaochen Zhu, Jing Ma, Jundong Li
2023 A conf
Fair Few-Shot Learning with Auxiliary Sets.
ECAI
Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023 J jnl
Fair Few-shot Learning with Auxiliary Sets.
CoRR
Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023 J jnl
Fairness in Graph Mining: A Survey.
IEEE Trans. Knowl. Data Eng.
Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
2023 A* conf
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.
AAAI
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023 A* conf
Learning Causal Effects on Hypergraphs (Extended Abstract).
IJCAI
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023 A* conf
Learning for Counterfactual Fairness from Observational Data.
KDD
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2023 J jnl
Learning for Counterfactual Fairness from Observational Data.
CoRR
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2023 A* conf
Path-Specific Counterfactual Fairness for Recommender Systems.
KDD
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023 J jnl
Path-Specific Counterfactual Fairness for Recommender Systems.
CoRR
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2022 A* conf
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.
WWW
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2022 A* conf
CLEAR: Generative Counterfactual Explanations on Graphs.
NeurIPS
Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
2022 J jnl
CLEAR: Generative Counterfactual Explanations on Graphs.
CoRR
Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
2022 A* conf
Empowering Next POI Recommendation with Multi-Relational Modeling.
SIGIR
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022 J jnl
Empowering Next POI Recommendation with Multi-Relational Modeling.
CoRR
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022 J jnl
Fairness in Graph Mining: A Survey.
CoRR
Yushun Dong, Jing Ma, Chen Chen, Jundong Li
2022 J jnl
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.
CoRR
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2022 A* conf
Learning Causal Effects on Hypergraphs.
KDD
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022 J jnl
Learning Causal Effects on Hypergraphs.
CoRR
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022 J jnl
Learning Causality with Graphs.
AI Mag.
Jing Ma, Jundong Li
2022 A conf
Learning Fair Node Representations with Graph Counterfactual Fairness.
WSDM
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022 J jnl
Learning Fair Node Representations with Graph Counterfactual Fairness.
CoRR
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022 — conf
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.
ECML/PKDD (4)
Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang
2021 J jnl
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.
CoRR
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2021 A conf
Deconfounding with Networked Observational Data in a Dynamic Environment.
WSDM
Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
2021 A* conf
Learning from Crowds by Modeling Common Confusions.
AAAI
Zhendong Chu, Jing Ma, Hongning Wang
2021 A* conf
Multi-Cause Effect Estimation with Disentangled Confounder Representation.
IJCAI
Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2020 J jnl
Learning from Crowds by Modeling Common Confusions.
CoRR
Zhendong Chu, Jing Ma, Hongning Wang
2020 — conf
Selective Sampling for Sensor Type Classification in Buildings.
IPSN
Jing Ma, Dezhi Hong, Hongning Wang
2018 J jnl
Top-kCritical Vertices Query on Shortest Path.
IEEE Trans. Knowl. Data Eng.
Jing Ma, Bin Yao, Xiaofeng Gao, Yanyan Shen, Minyi Guo
2017 C conf
Performance evaluation of WiFi Direct for data dissemination in mobile social networks.
ISCC
Zhifei Mao, Jing Ma, Yuming Jiang, Bin Yao